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Sample records for analysis identifies driver

  1. Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis.

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    Cava, Claudia; Bertoli, Gloria; Colaprico, Antonio; Olsen, Catharina; Bontempi, Gianluca; Castiglioni, Isabella

    2018-01-06

    Modern high-throughput genomic technologies represent a comprehensive hallmark of molecular changes in pan-cancer studies. Although different cancer gene signatures have been revealed, the mechanism of tumourigenesis has yet to be completely understood. Pathways and networks are important tools to explain the role of genes in functional genomic studies. However, few methods consider the functional non-equal roles of genes in pathways and the complex gene-gene interactions in a network. We present a novel method in pan-cancer analysis that identifies de-regulated genes with a functional role by integrating pathway and network data. A pan-cancer analysis of 7158 tumour/normal samples from 16 cancer types identified 895 genes with a central role in pathways and de-regulated in cancer. Comparing our approach with 15 current tools that identify cancer driver genes, we found that 35.6% of the 895 genes identified by our method have been found as cancer driver genes with at least 2/15 tools. Finally, we applied a machine learning algorithm on 16 independent GEO cancer datasets to validate the diagnostic role of cancer driver genes for each cancer. We obtained a list of the top-ten cancer driver genes for each cancer considered in this study. Our analysis 1) confirmed that there are several known cancer driver genes in common among different types of cancer, 2) highlighted that cancer driver genes are able to regulate crucial pathways.

  2. An Integrative Analysis to Identify Driver Genes in Esophageal Squamous Cell Carcinoma.

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    Genta Sawada

    Full Text Available Few driver genes have been well established in esophageal squamous cell carcinoma (ESCC. Identification of the genomic aberrations that contribute to changes in gene expression profiles can be used to predict driver genes.We searched for driver genes in ESCC by integrative analysis of gene expression microarray profiles and copy number data. To narrow down candidate genes, we performed survival analysis on expression data and tested the genetic vulnerability of each genes using public RNAi screening data. We confirmed the results by performing RNAi experiments and evaluating the clinical relevance of candidate genes in an independent ESCC cohort.We found 10 significantly recurrent copy number alterations accompanying gene expression changes, including loci 11q13.2, 7p11.2, 3q26.33, and 17q12, which harbored CCND1, EGFR, SOX2, and ERBB2, respectively. Analysis of survival data and RNAi screening data suggested that GRB7, located on 17q12, was a driver gene in ESCC. In ESCC cell lines harboring 17q12 amplification, knockdown of GRB7 reduced the proliferation, migration, and invasion capacities of cells. Moreover, siRNA targeting GRB7 had a synergistic inhibitory effect when combined with trastuzumab, an anti-ERBB2 antibody. Survival analysis of the independent cohort also showed that high GRB7 expression was associated with poor prognosis in ESCC.Our integrative analysis provided important insights into ESCC pathogenesis. We identified GRB7 as a novel ESCC driver gene and potential new therapeutic target.

  3. Domain-restricted mutation analysis to identify novel driver events in human cancer

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    Sanket Desai

    2017-10-01

    Full Text Available Analysis of mutational spectra across various cancer types has given valuable insights into tumorigenesis. Different approaches have been used to identify novel drivers from the set of somatic mutations, including the methods which use sequence conservation, geometric localization and pathway information. Recent computational methods suggest use of protein domain information for analysis and understanding of the functional consequence of non-synonymous mutations. Similarly, evidence suggests recurrence at specific position in proteins is robust indicators of its functional impact. Building on this, we performed a systematic analysis of TCGA exome derived somatic mutations across 6089 PFAM domains and significantly mutated domains were identified using randomization approach. Multiple alignment of individual domain allowed us to prioritize for conserved residues mutated at analogous positions across different proteins in a statistically disciplined manner. In addition to the known frequently mutated genes, this analysis independently identifies low frequency Meprin and TRAF-Homology (MATH domain in Speckle Type BTB/POZ (SPOP protein, in prostate adenocarcinoma. Results from this analysis will help generate hypotheses about the downstream molecular mechanism resulting in cancer phenotypes.

  4. The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes

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    Xinguo Lu

    2018-01-01

    Full Text Available With advances in next-generation sequencing(NGS technologies, a large number of multiple types of high-throughput genomics data are available. A great challenge in exploring cancer progression is to identify the driver genes from the variant genes by analyzing and integrating multi-types genomics data. Breast cancer is known as a heterogeneous disease. The identification of subtype-specific driver genes is critical to guide the diagnosis, assessment of prognosis and treatment of breast cancer. We developed an integrated frame based on gene expression profiles and copy number variation (CNV data to identify breast cancer subtype-specific driver genes. In this frame, we employed statistical machine-learning method to select gene subsets and utilized an module-network analysis method to identify potential candidate driver genes. The final subtype-specific driver genes were acquired by paired-wise comparison in subtypes. To validate specificity of the driver genes, the gene expression data of these genes were applied to classify the patient samples with 10-fold cross validation and the enrichment analysis were also conducted on the identified driver genes. The experimental results show that the proposed integrative method can identify the potential driver genes and the classifier with these genes acquired better performance than with genes identified by other methods.

  5. Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors

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    Victor M. Bii

    2016-10-01

    Full Text Available Identifying novel genes that drive tumor metastasis and drug resistance has significant potential to improve patient outcomes. High-throughput sequencing approaches have identified cancer genes, but distinguishing driver genes from passengers remains challenging. Insertional mutagenesis screens using replication-incompetent retroviral vectors have emerged as a powerful tool to identify cancer genes. Unlike replicating retroviruses and transposons, replication-incompetent retroviral vectors lack additional mutagenesis events that can complicate the identification of driver mutations from passenger mutations. They can also be used for almost any human cancer due to the broad tropism of the vectors. Replication-incompetent retroviral vectors have the ability to dysregulate nearby cancer genes via several mechanisms including enhancer-mediated activation of gene promoters. The integrated provirus acts as a unique molecular tag for nearby candidate driver genes which can be rapidly identified using well established methods that utilize next generation sequencing and bioinformatics programs. Recently, retroviral vector screens have been used to efficiently identify candidate driver genes in prostate, breast, liver and pancreatic cancers. Validated driver genes can be potential therapeutic targets and biomarkers. In this review, we describe the emergence of retroviral insertional mutagenesis screens using replication-incompetent retroviral vectors as a novel tool to identify cancer driver genes in different cancer types.

  6. Preferential Allele Expression Analysis Identifies Shared Germline and Somatic Driver Genes in Advanced Ovarian Cancer

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    Halabi, Najeeb M.; Martinez, Alejandra; Al-Farsi, Halema; Mery, Eliane; Puydenus, Laurence; Pujol, Pascal; Khalak, Hanif G.; McLurcan, Cameron; Ferron, Gwenael; Querleu, Denis; Al-Azwani, Iman; Al-Dous, Eman; Mohamoud, Yasmin A.; Malek, Joel A.; Rafii, Arash

    2016-01-01

    Identifying genes where a variant allele is preferentially expressed in tumors could lead to a better understanding of cancer biology and optimization of targeted therapy. However, tumor sample heterogeneity complicates standard approaches for detecting preferential allele expression. We therefore developed a novel approach combining genome and transcriptome sequencing data from the same sample that corrects for sample heterogeneity and identifies significant preferentially expressed alleles. We applied this analysis to epithelial ovarian cancer samples consisting of matched primary ovary and peritoneum and lymph node metastasis. We find that preferentially expressed variant alleles include germline and somatic variants, are shared at a relatively high frequency between patients, and are in gene networks known to be involved in cancer processes. Analysis at a patient level identifies patient-specific preferentially expressed alleles in genes that are targets for known drugs. Analysis at a site level identifies patterns of site specific preferential allele expression with similar pathways being impacted in the primary and metastasis sites. We conclude that genes with preferentially expressed variant alleles can act as cancer drivers and that targeting those genes could lead to new therapeutic strategies. PMID:26735499

  7. Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving data.

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    Feng, Fred; Bao, Shan; Sayer, James R; Flannagan, Carol; Manser, Michael; Wunderlich, Robert

    2017-07-01

    This paper investigated the characteristics of vehicle longitudinal jerk (change rate of acceleration with respect to time) by using vehicle sensor data from an existing naturalistic driving study. The main objective was to examine whether vehicle jerk contains useful information that could be potentially used to identify aggressive drivers. Initial investigation showed that there are unique characteristics of vehicle jerk in drivers' gas and brake pedal operations. Thus two jerk-based metrics were examined: (1) driver's frequency of using large positive jerk when pressing the gas pedal, and (2) driver's frequency of using large negative jerk when pressing the brake pedal. To validate the performance of the two metrics, drivers were firstly divided into an aggressive group and a normal group using three classification methods (1) traveling at excessive speed (speeding), (2) following too closely to a front vehicle (tailgating), and (3) their association with crashes or near-crashes in the dataset. The results show that those aggressive drivers defined using any of the three methods above were associated with significantly higher values of the two jerk-based metrics. Between the two metrics the frequency of using large negative jerk seems to have better performance in identifying aggressive drivers. A sensitivity analysis shows the findings were largely consistent with varying parameters in the analysis. The potential applications of this work include developing quantitative surrogate safety measures to identify aggressive drivers and aggressive driving, which could be potentially used to, for example, provide real-time or post-ride performance feedback to the drivers, or warn the surrounding drivers or vehicles using the connected vehicle technologies. Copyright © 2017 Elsevier Ltd. All rights reserved.

  8. The valuation of nursing begins with identifying value drivers.

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    Rutherford, Marcella M

    2010-03-01

    Adequate investment in a profession links to its ability to define and document its value. This requires identifying those elements or value drivers that demonstrate its worth. To completely identify nursing's value drivers requires meshing the economic, technical, and caring aspects of its profession. Nursing's valuation includes assessing nursing's tangible and intangible assets and documenting these assets. This information communicates nursing's worth and ensures adequate economic investment in its services.

  9. Gene dosage, expression, and ontology analysis identifies driver genes in the carcinogenesis and chemoradioresistance of cervical cancer.

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    Malin Lando

    2009-11-01

    Full Text Available Integrative analysis of gene dosage, expression, and ontology (GO data was performed to discover driver genes in the carcinogenesis and chemoradioresistance of cervical cancers. Gene dosage and expression profiles of 102 locally advanced cervical cancers were generated by microarray techniques. Fifty-two of these patients were also analyzed with the Illumina expression method to confirm the gene expression results. An independent cohort of 41 patients was used for validation of gene expressions associated with clinical outcome. Statistical analysis identified 29 recurrent gains and losses and 3 losses (on 3p, 13q, 21q associated with poor outcome after chemoradiotherapy. The intratumor heterogeneity, assessed from the gene dosage profiles, was low for these alterations, showing that they had emerged prior to many other alterations and probably were early events in carcinogenesis. Integration of the alterations with gene expression and GO data identified genes that were regulated by the alterations and revealed five biological processes that were significantly overrepresented among the affected genes: apoptosis, metabolism, macromolecule localization, translation, and transcription. Four genes on 3p (RYBP, GBE1 and 13q (FAM48A, MED4 correlated with outcome at both the gene dosage and expression level and were satisfactorily validated in the independent cohort. These integrated analyses yielded 57 candidate drivers of 24 genetic events, including novel loci responsible for chemoradioresistance. Further mapping of the connections among genetic events, drivers, and biological processes suggested that each individual event stimulates specific processes in carcinogenesis through the coordinated control of multiple genes. The present results may provide novel therapeutic opportunities of both early and advanced stage cervical cancers.

  10. How to identify the key factors that affect driver perception of accident risk. A comparison between Italian and Spanish driver behavior.

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    de Oña, Juan; de Oña, Rocio; Eboli, Laura; Forciniti, Carmen; Mazzulla, Gabriella

    2014-12-01

    Road crashes can be caused by different factors, including infrastructure, vehicles, and human variables. Many research studies have focused solely on identifying the key factors that cause road crashes. From these studies, it emerged that human factors have the most relevant impact on accident severity. More specifically, accident severity depends on several factors related directly to the driver, i.e., driving experience, driver's socio-economic characteristics, and driving behavior and attitudes. In this paper, we investigate driver behaviors and attitudes while driving and specifically focus on different methods for identifying the factors that most affect the driver's perception of accident risk. To this end, we designed and conducted a survey in two different European contexts: the city of Cosenza, which is located in the south of Italy, and the city of Granada, which is located in the south of Spain. Samples of drivers were contacted for their opinions on certain aspects of driving rules and attitudes while driving, and different types of questions were addressed to the drivers to assess their judgments of these aspects. Consequently, different methods of data analysis were applied to determine the aspects that heavily influence driver perception of accident risk. An experiment based on the stated preferences (SP) was carried out with the drivers, and the SP data were analyzed using an ordered probit (OP) model. Interesting findings emerged from different analyses of the data and from the comparisons among the data collected in the two different territorial contexts. We found that both Italian and Spanish drivers consider driving in an altered psychophysical state and violating the overtaking rules to be the most risky behaviors. Copyright © 2014 Elsevier Ltd. All rights reserved.

  11. Identifying mismatches between institutional perceptions of water-related risk drivers and water management strategies in three river basin areas

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    Räsänen, Aleksi; Juhola, Sirkku; Monge Monge, Adrián; Käkönen, Mira; Kanninen, Markku; Nygren, Anja

    2017-07-01

    Water-related risks and vulnerabilities are driven by variety of stressors, including climate and land use change, as well as changes in socio-economic positions and political landscapes. Hence, water governance, which addresses risks and vulnerabilities, should target multiple stressors. We analyze the institutional perceptions of the drivers and strategies for managing water-related risks and vulnerabilities in three regionally important river basin areas located in Finland, Mexico, and Laos. Our analysis is based on data gathered through participatory workshops and complemented by qualitative content analysis of relevant policy documents. The identified drivers and proposed risk reduction strategies showed the multidimensionality and context-specificity of water-related risks and vulnerabilities across study areas. Most of the identified drivers were seen to increase risks, but some of the drivers were positive trends, and drivers also included also policy instruments that can both increase or decrease risks. Nevertheless, all perceived drivers were not addressed with suggested risk reduction strategies. In particular, most of the risk reduction strategies were incremental adjustments, although many of the drivers classified as most important were large-scale trends, such as climate change, land use changes and increase in foreign investments. We argue that there is a scale mismatch between the identified drivers and suggested strategies, which questions the opportunity to manage the drivers by single-scale incremental adjustments. Our study suggests that for more sustainable risk and vulnerability reduction, the root causes of water-related risks and vulnerabilities should be addressed through adaptive multi-scale governance that carefully considers the context-specificity and the multidimensionality of the associated drivers and stressors.

  12. Diagnostic tools for identifying sleepy drivers in the field.

    Science.gov (United States)

    2013-05-06

    The overarching goal of this project was to identify and evaluate cognitive and behavioral indices that are sensitive to sleep : deprivation and may help identify commercial motor vehicle drivers (CMV) who are at-risk for driving in a sleep deprived ...

  13. Development of a questionnaire for identifying driver's personal values in driving

    NARCIS (Netherlands)

    Shahab, Q.M.; Terken, J.M.B.; Eggen, J.H.; Terken, J.; Martens, M.; Mueller, C.; Healey, J.; Osswald, S.

    2013-01-01

    The speed behavior of drivers is influenced by their personal driving values. It is assumed that these personal values may differ between drivers. In this paper, we describe the development of the Personal Driving Values (PDV) questionnaire. The questionnaire is to be used as a means of identifying

  14. Driver behavior analysis for right-turn drivers at signalized intersections using SHRP 2 naturalistic driving study data.

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    Wu, Jianqing; Xu, Hao

    2017-12-01

    Understanding driver behavior is important for traffic safety and operation, especially at intersections where different traffic movements conflict. While most driver-behavior studies are based on simulation, this paper documents the analysis of driver-behavior at signalized intersections with the SHRP 2 Naturalistic Driving Study (NDS) data. This study analyzes the different influencing factors on the operation (speed control) and observation of right-turn drivers. A total of 300 NDS trips at six signalized intersections were used, including the NDS time-series sensor data, the forward videos and driver face videos. Different factors of drivers, vehicles, roads and environments were studied for their influence on driver behavior. An influencing index function was developed and the index was calculated for each influencing factor to quantitatively describe its influencing level. The influencing index was applied to prioritize the factors, which facilitates development and selection of safety countermeasures to improve intersection safety. Drivers' speed control was analyzed under different conditions with consideration of the prioritized influencing factors. Vehicle type, traffic signal status, conflicting traffic, conflicting pedestrian and driver age group were identified as the five major influencing factors on driver observation. This research revealed that drivers have high acceleration and low observation frequency under Right-Turn-On-Red (RTOR), which constituted potential danger for other roadway users, especially for pedestrians. As speed has a direct influence on crash rates and severities, the revealed speed patterns of the different situations also benefit selection of safety countermeasures at signalized intersections. Published by Elsevier Ltd.

  15. Understanding the health of lorry drivers in context: A critical discourse analysis.

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    Caddick, Nick; Varela-Mato, Veronica; Nimmo, Myra A; Clemes, Stacey; Yates, Tom; King, James A

    2017-01-01

    This article moves beyond previous attempts to understand health problems in the lives of professional lorry drivers by placing the study of drivers' health in a wider social and cultural context. A combination of methods including focus groups, interviews and observations were used to collect data from a group of 24 lorry drivers working at a large transport company in the United Kingdom. Employing a critical discourse analysis, we identified the dominant discourses and subject positions shaping the formation of drivers' health and lifestyle choices. This analysis was systematically combined with an exploration of the gendered ways in which an almost exclusively male workforce talked about health. Findings revealed that drivers were constituted within a neoliberal economic discourse, which is reflective of the broader social structure, and which partly restricted drivers' opportunities for healthy living. Concurrently, drivers adopted the subject position of 'average man' as a way of defending their personal and masculine status in regards to health and to justify jettisoning approaches to healthy living that were deemed too extreme or irrational in the face of the constraints of their working lives. Suggestions for driver health promotion include refocusing on the social and cultural - rather than individual - underpinnings of driver health issues and a move away from moralistic approaches to health promotion.

  16. Predictors of Self-reported Crashes among Iranian Drivers: Exploratory Analysis of an Extended Driver Behavior Questionnaire

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    Amin Mohamadi Hezaveh

    2018-02-01

    Full Text Available More than 16,500 people lose their lives each year due to traffic crashes in Iran, which reflects one of the highest road traffic fatality rates in the world. The aim of the present study is to investigate the factors structure of an extended Driver Behaviour Questionnaire (DBQ and to examine the gender differences in the extracted factors among Iranian drivers. Further, the study tested the association between DBQ factors, demographic characteristics, and self-reported crashes. Based on Iranian driving culture, an extended (36 items Internet-based version of the DBQ was distributed among Iranian drivers. The results of Exploratory Factor Analysis based on a sample of 632 Iranians identified a five-factor solution named “Speeding and Pushing Violations”, “Lapses and Errors”, “Violations Causing Inattention”, “Aggressive Violations” and “Traffic Violations” which account for 44.7 percent of the total variance. The results also revealed that females were more prone to Lapses and Errors, whereas males reported more violations than females. Logistic regression analysis identified Violations Causing Inattention, Speeding and Pushing Violations as predictors of self-reported crashes in a three-year period. The results were discussed in line with road traffic safety countermeasures suitable for the Iranian context.

  17. Identifying Key Drivers of Return Reversal with Dynamical Bayesian Factor Graph.

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    Shuai Zhao

    Full Text Available In the stock market, return reversal occurs when investors sell overbought stocks and buy oversold stocks, reversing the stocks' price trends. In this paper, we develop a new method to identify key drivers of return reversal by incorporating a comprehensive set of factors derived from different economic theories into one unified dynamical Bayesian factor graph. We then use the model to depict factor relationships and their dynamics, from which we make some interesting discoveries about the mechanism behind return reversals. Through extensive experiments on the US stock market, we conclude that among the various factors, the liquidity factors consistently emerge as key drivers of return reversal, which is in support of the theory of liquidity effect. Specifically, we find that stocks with high turnover rates or high Amihud illiquidity measures have a greater probability of experiencing return reversals. Apart from the consistent drivers, we find other drivers of return reversal that generally change from year to year, and they serve as important characteristics for evaluating the trends of stock returns. Besides, we also identify some seldom discussed yet enlightening inter-factor relationships, one of which shows that stocks in Finance and Insurance industry are more likely to have high Amihud illiquidity measures in comparison with those in other industries. These conclusions are robust for return reversals under different thresholds.

  18. Ergonomic work analysis: A case study of bus drivers in the private collective transportation sector.

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    Araújo, Adolfo Vicente; Arcanjo, Gemima Santos; Fernandes, Haroldo; Arcanjo, Georgia Santos

    2018-05-03

    The collective transportation system is essential to reduce the number of automobiles in the roads. Concerns exist related to quality, comfort and safety of bus driver's workstations. The objective of this study was to improve the driver's workstation in the private collective transportation sector by analyzing ergonomic practices using the Ergonomic Work Analysis (EWA). The EWA was chosen because it seeks to evaluate the labor condition as it relates to the psychophysiological conditions of workers, it complies with regulatory standard 17 (NR17). To identify driver concerns, interviews and questionnaires were administered. The workstation and worker routines were observed. The analysis revealed that the largest number of complaints related to noise, display light and location of the passenger identifier device. Drivers reported discomfort in the knees and lower back. Recommendations were made to improve the workstation and change the routine to minimize the discomfort and ergonomic risk factors.

  19. Obstructive sleep apnea among commercial motor vehicle drivers: using evidence-based practice to identify risk factors.

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    Olszewski, Kimberly; Wolf, Debra

    2013-11-01

    Commercial motor vehicle driving is a hazardous occupation, having the third highest fatality rate among common U.S. jobs. Among the estimated 14 million U.S. commercial motor vehicle drivers, the prevalence of obstructive sleep apnea is reported to be 17% to 28%. Despite the identified increased prevalence of obstructive sleep apnea among commercial motor vehicle drivers, federal law does not require that they be screened for obstructive sleep apnea. This article presents an evidence-based practice change project; the authors developed, implemented, and evaluated a screening program to identify commercial motor vehicle drivers' risk for obstructive sleep apnea during commercial driver medical examinations. The results of this practice change indicated screening for obstructive sleep apnea during the commercial driver medical examination led to improved identification of obstructive sleep apnea risk among commercial motor vehicle drivers and should be a clinical standard in occupational health clinics. Copyright 2013, SLACK Incorporated.

  20. Identifying candidate driver genes by integrative ovarian cancer genomics data

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    Lu, Xinguo; Lu, Jibo

    2017-08-01

    Integrative analysis of molecular mechanics underlying cancer can distinguish interactions that cannot be revealed based on one kind of data for the appropriate diagnosis and treatment of cancer patients. Tumor samples exhibit heterogeneity in omics data, such as somatic mutations, Copy Number Variations CNVs), gene expression profiles and so on. In this paper we combined gene co-expression modules and mutation modulators separately in tumor patients to obtain the candidate driver genes for resistant and sensitive tumor from the heterogeneous data. The final list of modulators identified are well known in biological processes associated with ovarian cancer, such as CCL17, CACTIN, CCL16, CCL22, APOB, KDF1, CCL11, HNF1B, LRG1, MED1 and so on, which can help to facilitate the discovery of biomarkers, molecular diagnostics, and drug discovery.

  1. A framework for identifying carbon hotspots and forest management drivers

    Science.gov (United States)

    Nilesh Timilsina; Francisco J. Escobedo; Wendell P. Cropper; Amr Abd-Elrahman; Thomas Brandeis; Sonia Delphin; Samuel Lambert

    2013-01-01

    Spatial analyses of ecosystem system services that are directly relevant to both forest management decision making and conservation in the subtropics are rare. Also, frameworks that identify and map carbon stocks and corresponding forest management drivers using available regional, national, and international-level forest inventory datasets could provide insights into...

  2. Kin-Driver: a database of driver mutations in protein kinases.

    Science.gov (United States)

    Simonetti, Franco L; Tornador, Cristian; Nabau-Moretó, Nuria; Molina-Vila, Miguel A; Marino-Buslje, Cristina

    2014-01-01

    Somatic mutations in protein kinases (PKs) are frequent driver events in many human tumors, while germ-line mutations are associated with hereditary diseases. Here we present Kin-driver, the first database that compiles driver mutations in PKs with experimental evidence demonstrating their functional role. Kin-driver is a manual expert-curated database that pays special attention to activating mutations (AMs) and can serve as a validation set to develop new generation tools focused on the prediction of gain-of-function driver mutations. It also offers an easy and intuitive environment to facilitate the visualization and analysis of mutations in PKs. Because all mutations are mapped onto a multiple sequence alignment, analogue positions between kinases can be identified and tentative new mutations can be proposed for studying by transferring annotation. Finally, our database can also be of use to clinical and translational laboratories, helping them to identify uncommon AMs that can correlate with response to new antitumor drugs. The website was developed using PHP and JavaScript, which are supported by all major browsers; the database was built using MySQL server. Kin-driver is available at: http://kin-driver.leloir.org.ar/ © The Author(s) 2014. Published by Oxford University Press.

  3. Assessing the relationship between the Driver Behavior Questionnaire and the Driver Skill Inventory: Revealing sub-groups of drivers

    DEFF Research Database (Denmark)

    Martinussen, Laila Marianne; Møller, Mette; Prato, Carlo Giacomo

    2014-01-01

    The Driver Behavior Questionnaire and the Driver Skill Inventory are two of the most frequently used measures of self-reported driving style and driving skill. The motivation behind the present study was to identify sub-groups of drivers that potentially act dangerously in traffic (as measured...... self-reported driving skills and whether the reported skill level was reflected in the reported aberrant driving behaviors. 3908 drivers aged 18–84 participated in the survey. K-means cluster analysis revealed four distinct sub-groups that differed in driving skills and frequency of aberrant driving...... by frequency of aberrant driving behaviors and level of driving skills), as well as to test whether the sub-groups differ in characteristics such as age, gender, annual mileage and accident involvement. Furthermore, the joint analysis of the two instruments was used to test drivers’ assessment of their own...

  4. Visual behaviour analysis and driver cognitive model

    Energy Technology Data Exchange (ETDEWEB)

    Baujon, J.; Basset, M.; Gissinger, G.L. [Mulhouse Univ., (France). MIPS/MIAM Lab.

    2001-07-01

    Recent studies on driver behaviour have shown that perception - mainly visual but also proprioceptive perception - plays a key role in the ''driver-vehicle-road'' system and so considerably affects the driver's decision making. Within the framework of the behaviour analysis and studies low-cost system (BASIL), this paper presents a correlative, qualitative and quantitative study, comparing the information given by visual perception and by the trajectory followed. This information will help to obtain a cognitive model of the Rasmussen type according to different driver classes. Many experiments in real driving situations have been carried out for different driver classes and for a given trajectory profile, using a test vehicle and innovative, specially designed, real-time tools, such as the vision system or the positioning module. (orig.)

  5. Identifying drivers for consumer acceptance and purchase intent of corn tortilla.

    Science.gov (United States)

    Herrera-Corredor, J A; Saidu, J E P; Khachatryan, A; Prinyawiwatkul, W; Carballo-Carballo, A; Zepeda-Bautista, R

    2007-11-01

    The traditional production of corn tortilla has been modified by new processing technologies to make possible a commercial-scale production; this practice has resulted in products having sensory properties different from those produced by the traditional method. There is no published information on sensory attributes driving acceptance and purchase intent of corn tortillas. Identifying sensory drivers for acceptance and purchase intent of corn tortillas will help commercially produce products that satisfy consumers' expectations. A consumer study was conducted to evaluate acceptance and purchase intent of corn tortillas and determine drivers of acceptance and purchase intent of the products. Ten samples of corn tortillas were selected to represent a variety of corn tortillas available in the Mexican market. Three hundred Mexican consumers evaluated acceptability of appearance, color, thickness, rollability, resistance to tearing, aroma, chewiness, taste and aftertaste, and overall liking using a 9-point hedonic scale. Overall acceptance and purchase intent were determined with a yes/no scale. Analysis of variance and multivariate analysis of variance revealed that consumers were able to differentiate differences in sensory acceptability among 10 samples. For example, 2 homemade and 1 small commercial-scale samples, with an overall liking score of 6.6 to 6.7, were more acceptable than others. Rollability, resistance to tearing, and chewiness were attributes underlying overall differences among 10 samples. Attributes determining overall acceptance of corn tortillas were chewiness and overall liking. Purchase intent was influenced by overall appearance, rollability, chewiness, taste, and overall liking. This study revealed critical sensory attributes and their weights given by Mexican consumers when making decisions for acceptance and purchase intent of corn tortilla.

  6. Driver style and driver skills – clustering drivers differing in their potential danger in traffic

    DEFF Research Database (Denmark)

    Martinussen, Laila Marianne; Møller, Mette; Prato, Carlo Giacomo

    The Driver Behavior Questionnaire (DBQ) and the Driver Skill Inventory (DSI) are two of the most frequently used measures of driving style and driving skill. The motivation behind the present study was to test drivers’ insight into their own driving ability based on a combined use of the DBQ......, annual mileage and accident involvement. 3908 drivers aged 18–84 participated in the survey. The results suggested that the drivers have good insight into their own driving ability, as the driving skill level mirrored the frequency of aberrant driving behaviors. K-means cluster analysis revealed four...... distinct clusters that differed in the frequency of aberrant driving behavior and driving skills, as well as individual characteristics and driving related factors such as annual mileage, accident frequency and number of tickets and fines. Thus, two sub-groups were identified as more unsafe than the two...

  7. Driver-centred vehicle automation: using network analysis for agent-based modelling of the driver in highly automated driving systems.

    Science.gov (United States)

    Banks, Victoria A; Stanton, Neville A

    2016-11-01

    To the average driver, the concept of automation in driving infers that they can become completely 'hands and feet free'. This is a common misconception, however, one that has been shown through the application of Network Analysis to new Cruise Assist technologies that may feature on our roads by 2020. Through the adoption of a Systems Theoretic approach, this paper introduces the concept of driver-initiated automation which reflects the role of the driver in highly automated driving systems. Using a combination of traditional task analysis and the application of quantitative network metrics, this agent-based modelling paper shows how the role of the driver remains an integral part of the driving system implicating the need for designers to ensure they are provided with the tools necessary to remain actively in-the-loop despite giving increasing opportunities to delegate their control to the automated subsystems. Practitioner Summary: This paper describes and analyses a driver-initiated command and control system of automation using representations afforded by task and social networks to understand how drivers remain actively involved in the task. A network analysis of different driver commands suggests that such a strategy does maintain the driver in the control loop.

  8. Driver Distraction in Public Transport

    OpenAIRE

    YOUNG, K; SALMON, P; REGAN MICHAEL, M

    2007-01-01

    There is converging evidence that driver distraction is a contributing factor in car crashes, in Australia and overseas. Surprisingly, no known previous research has attempted to identify and assess the potentially distracting activities undertaken by the drivers of public passenger vehicles. This paper describes research undertaken on this issue. The research was partitioned into three phases: an analysis of the functions and tasks currently undertaken by public passenger vehicle drivers; th...

  9. Comprehensive Characterization of Cancer Driver Genes and Mutations

    NARCIS (Netherlands)

    Bailey, Matthew H.; Tokheim, Collin; Porta-Pardo, Eduard; Sengupta, Sohini; Bertrand, Denis; Weerasinghe, Amila; Colaprico, Antonio; Wendl, Michael C.; Kim, Jaegil; Reardon, Brendan; Ng, Patrick Kwok Shing; Jeong, Kang Jin; Cao, Song; Wang, Zixing; Gao, Jianjiong; Gao, Qingsong; Wang, Fang; Liu, Eric Minwei; Mularoni, Loris; Rubio-Perez, Carlota; Nagarajan, Niranjan; Cortés-Ciriano, Isidro; Zhou, Daniel Cui; Liang, Wen Wei; Hess, Julian M.; Yellapantula, Venkata D.; Tamborero, David; Gonzalez-Perez, Abel; Suphavilai, Chayaporn; Ko, Jia Yu; Khurana, Ekta; Park, Peter J.; Van Allen, Eliezer M.; Liang, Han; Caesar-Johnson, Samantha J.; Demchok, John A.; Felau, Ina; Kasapi, Melpomeni; Ferguson, Martin L.; Hutter, Carolyn M.; Sofia, Heidi J.; Tarnuzzer, Roy; Wang, Zhining; Yang, Liming; Zenklusen, Jean C.; Zhang, Jiashan (Julia); Chudamani, Sudha; Liu, Jia; Lolla, Laxmi; Naresh, Rashi; Pihl, Todd; Sun, Qiang; Wan, Yunhu; Wu, Ye; Cho, Juok; DeFreitas, Timothy; Frazer, Scott; Gehlenborg, Nils; Getz, Gad; Heiman, David I.; Kim, Jaegil; Lawrence, Michael S.; Lin, Pei; Meier, Sam; Noble, Michael S.; Saksena, Gordon; Voet, Doug; Zhang, Hailei; Bernard, Brady; Chambwe, Nyasha; Dhankani, Varsha; Knijnenburg, Theo; Kramer, Roger; Leinonen, Kalle; Liu, Yuexin; Miller, Michael; Reynolds, Sheila; Shmulevich, Ilya; Thorsson, Vesteinn; Zhang, Wei; Akbani, Rehan; Broom, Bradley M.; Hegde, Apurva M.; Ju, Zhenlin; Kanchi, Rupa S.; Korkut, Anil; Li, Jun; Liang, Han; Ling, Shiyun; Liu, Wenbin; Lu, Yiling; Mills, Gordon B.; Ng, Kwok Shing; Rao, Arvind; Ryan, Michael; Wang, Jing; Weinstein, John N.; Zhang, Jiexin; Abeshouse, Adam; Armenia, Joshua; Chakravarty, Debyani; Chatila, Walid K.; de Bruijn, Ino; Gao, Jianjiong; Gross, Benjamin E.; Heins, Zachary J.; Kundra, Ritika; La, Konnor; Ladanyi, Marc; Luna, Augustin; Nissan, Moriah G.; Ochoa, Angelica; Phillips, Sarah M.; Reznik, Ed; Sanchez-Vega, Francisco; Sander, Chris; Schultz, Nikolaus; Sheridan, Robert; Sumer, S. Onur; Sun, Yichao; Taylor, Barry S.; Wang, Jioajiao; Zhang, Hongxin; Anur, Pavana; Peto, Myron; Spellman, Paul; Benz, Christopher; Stuart, Joshua M.; Wong, Christopher K.; Yau, Christina; Hayes, D. Neil; Parker, Joel S.; Wilkerson, Matthew D.; Ally, Adrian; Balasundaram, Miruna; Bowlby, Reanne; Brooks, Denise; Carlsen, Rebecca; Chuah, Eric; Dhalla, Noreen; Holt, Robert; Jones, Steven J.M.; Kasaian, Katayoon; Lee, Darlene; Ma, Yussanne; Marra, Marco A.; Mayo, Michael; Moore, Richard A.; Mungall, Andrew J.; Mungall, Karen; Robertson, A. Gordon; Sadeghi, Sara; Schein, Jacqueline E.; Sipahimalani, Payal; Tam, Angela; Thiessen, Nina; Tse, Kane; Wong, Tina; Berger, Ashton C.; Beroukhim, Rameen; Cherniack, Andrew D.; Cibulskis, Carrie; Gabriel, Stacey B.; Gao, Galen F.; Ha, Gavin; Meyerson, Matthew; Schumacher, Steven E.; Shih, Juliann; Kucherlapati, Melanie H.; Kucherlapati, Raju S.; Baylin, Stephen; Cope, Leslie; Danilova, Ludmila; Bootwalla, Moiz S.; Lai, Phillip H.; Maglinte, Dennis T.; Van Den Berg, David J.; Weisenberger, Daniel J.; Auman, J. Todd; Balu, Saianand; Bodenheimer, Tom; Fan, Cheng; Hoadley, Katherine A.; Hoyle, Alan P.; Jefferys, Stuart R.; Jones, Corbin D.; Meng, Shaowu; Mieczkowski, Piotr A.; Mose, Lisle E.; Perou, Amy H.; Perou, Charles M.; Roach, Jeffrey; Shi, Yan; Simons, Janae V.; Skelly, Tara; Soloway, Matthew G.; Tan, Donghui; Veluvolu, Umadevi; Fan, Huihui; Hinoue, Toshinori; Laird, Peter W.; Shen, Hui; Zhou, Wanding; Bellair, Michelle; Chang, Kyle; Covington, Kyle; Creighton, Chad J.; Dinh, Huyen; Doddapaneni, Harsha Vardhan; Donehower, Lawrence A.; Drummond, Jennifer; Gibbs, Richard A.; Glenn, Robert; Hale, Walker; Han, Yi; Hu, Jianhong; Korchina, Viktoriya; Lee, Sandra; Lewis, Lora; Li, Wei; Liu, Xiuping; Morgan, Margaret; Morton, Donna; Muzny, Donna; Santibanez, Jireh; Sheth, Margi; Shinbrot, Eve; Wang, Linghua; Wang, Min; Wheeler, David; Xi, Liu; Zhao, Fengmei; Hess, Julian; Appelbaum, Elizabeth L.; Bailey, Matthew; Cordes, Matthew G.; Ding, Li; Fronick, Catrina C.; Fulton, Lucinda A.; Fulton, Robert S.; Kandoth, Cyriac; Mardis, Elaine R.; McLellan, Michael D.; Miller, Christopher A.; Schmidt, Heather K.; Wilson, Richard K.; Crain, Daniel; Curley, Erin; Gardner, Johanna; Lau, Kevin; Mallery, David; Morris, Scott; Paulauskis, Joseph; Penny, Robert; Shelton, Candace; Shelton, Troy; Sherman, Mark; Thompson, Eric; Yena, Peggy; Bowen, Jay; Gastier-Foster, Julie M.; Gerken, Mark; Leraas, Kristen M.; Lichtenberg, Tara M.; Ramirez, Nilsa C.; Wise, Lisa; Zmuda, Erik; Corcoran, Niall; Costello, Tony; Hovens, Christopher; Carvalho, Andre L.; de Carvalho, Ana C.; Fregnani, José H.; Longatto-Filho, Adhemar; Reis, Rui M.; Scapulatempo-Neto, Cristovam; Silveira, Henrique C.S.; Vidal, Daniel O.; Burnette, Andrew; Eschbacher, Jennifer; Hermes, Beth; Noss, Ardene; Singh, Rosy; Anderson, Matthew L.; Castro, Patricia D.; Ittmann, Michael; Huntsman, David; Kohl, Bernard; Le, Xuan; Thorp, Richard; Andry, Chris; Duffy, Elizabeth R.; Lyadov, Vladimir; Paklina, Oxana; Setdikova, Galiya; Shabunin, Alexey; Tavobilov, Mikhail; McPherson, Christopher; Warnick, Ronald; Berkowitz, Ross; Cramer, Daniel; Feltmate, Colleen; Horowitz, Neil; Kibel, Adam; Muto, Michael; Raut, Chandrajit P.; Malykh, Andrei; Barnholtz-Sloan, Jill S.; Barrett, Wendi; Devine, Karen; Fulop, Jordonna; Ostrom, Quinn T.; Shimmel, Kristen; Wolinsky, Yingli; Sloan, Andrew E.; De Rose, Agostino; Giuliante, Felice; Goodman, Marc; Karlan, Beth Y.; Hagedorn, Curt H.; Eckman, John; Harr, Jodi; Myers, Jerome; Tucker, Kelinda; Zach, Leigh Anne; Deyarmin, Brenda; Hu, Hai; Kvecher, Leonid; Larson, Caroline; Mural, Richard J.; Somiari, Stella; Vicha, Ales; Zelinka, Tomas; Bennett, Joseph; Iacocca, Mary; Rabeno, Brenda; Swanson, Patricia; Latour, Mathieu; Lacombe, Louis; Têtu, Bernard; Bergeron, Alain; McGraw, Mary; Staugaitis, Susan M.; Chabot, John; Hibshoosh, Hanina; Sepulveda, Antonia; Su, Tao; Wang, Timothy; Potapova, Olga; Voronina, Olga; Desjardins, Laurence; Mariani, Odette; Roman-Roman, Sergio; Sastre, Xavier; Stern, Marc Henri; Cheng, Feixiong; Signoretti, Sabina; Berchuck, Andrew; Bigner, Darell; Lipp, Eric; Marks, Jeffrey; McCall, Shannon; McLendon, Roger; Secord, Angeles; Sharp, Alexis; Behera, Madhusmita; Brat, Daniel J.; Chen, Amy; Delman, Keith; Force, Seth; Khuri, Fadlo; Magliocca, Kelly; Maithel, Shishir; Olson, Jeffrey J.; Owonikoko, Taofeek; Pickens, Alan; Ramalingam, Suresh; Shin, Dong M.; Sica, Gabriel; Van Meir, Erwin G.; Zhang, Hongzheng; Eijckenboom, Wil; Gillis, Ad; Korpershoek, Esther; Looijenga, Leendert; Oosterhuis, Wolter; Stoop, Hans; van Kessel, Kim E.; Zwarthoff, Ellen C.; Calatozzolo, Chiara; Cuppini, Lucia; Cuzzubbo, Stefania; DiMeco, Francesco; Finocchiaro, Gaetano; Mattei, Luca; Perin, Alessandro; Pollo, Bianca; Chen, Chu; Houck, John; Lohavanichbutr, Pawadee; Hartmann, Arndt; Stoehr, Christine; Stoehr, Robert; Taubert, Helge; Wach, Sven; Wullich, Bernd; Kycler, Witold; Murawa, Dawid; Wiznerowicz, Maciej; Chung, Ki; Edenfield, W. Jeffrey; Martin, Julie; Baudin, Eric; Bubley, Glenn; Bueno, Raphael; De Rienzo, Assunta; Richards, William G.; Kalkanis, Steven; Mikkelsen, Tom; Noushmehr, Houtan; Scarpace, Lisa; Girard, Nicolas; Aymerich, Marta; Campo, Elias; Giné, Eva; Guillermo, Armando López; Van Bang, Nguyen; Hanh, Phan Thi; Phu, Bui Duc; Tang, Yufang; Colman, Howard; Evason, Kimberley; Dottino, Peter R.; Martignetti, John A.; Gabra, Hani; Juhl, Hartmut; Akeredolu, Teniola; Stepa, Serghei; Hoon, Dave; Ahn, Keunsoo; Kang, Koo Jeong; Beuschlein, Felix; Breggia, Anne; Birrer, Michael; Bell, Debra; Borad, Mitesh; Bryce, Alan H.; Castle, Erik; Chandan, Vishal; Cheville, John; Copland, John A.; Farnell, Michael; Flotte, Thomas; Giama, Nasra; Ho, Thai; Kendrick, Michael; Kocher, Jean Pierre; Kopp, Karla; Moser, Catherine; Nagorney, David; O'Brien, Daniel; O'Neill, Brian Patrick; Patel, Tushar; Petersen, Gloria; Que, Florencia; Rivera, Michael; Roberts, Lewis; Smallridge, Robert; Smyrk, Thomas; Stanton, Melissa; Thompson, R. Houston; Torbenson, Michael; Yang, Ju Dong; Zhang, Lizhi; Brimo, Fadi; Ajani, Jaffer A.; Gonzalez, Ana Maria Angulo; Behrens, Carmen; Bondaruk, Jolanta; Broaddus, Russell; Czerniak, Bogdan; Esmaeli, Bita; Fujimoto, Junya; Gershenwald, Jeffrey; Guo, Charles; Lazar, Alexander J.; Logothetis, Christopher; Meric-Bernstam, Funda; Moran, Cesar; Ramondetta, Lois; Rice, David; Sood, Anil; Tamboli, Pheroze; Thompson, Timothy; Troncoso, Patricia; Tsao, Anne; Wistuba, Ignacio; Carter, Candace; Haydu, Lauren; Hersey, Peter; Jakrot, Valerie; Kakavand, Hojabr; Kefford, Richard; Lee, Kenneth; Long, Georgina; Mann, Graham; Quinn, Michael; Saw, Robyn; Scolyer, Richard; Shannon, Kerwin; Spillane, Andrew; Stretch, Jonathan; Synott, Maria; Thompson, John; Wilmott, James; Al-Ahmadie, Hikmat; Chan, Timothy A.; Ghossein, Ronald; Gopalan, Anuradha; Levine, Douglas A.; Reuter, Victor; Singer, Samuel; Singh, Bhuvanesh; Tien, Nguyen Viet; Broudy, Thomas; Mirsaidi, Cyrus; Nair, Praveen; Drwiega, Paul; Miller, Judy; Smith, Jennifer; Zaren, Howard; Park, Joong Won; Hung, Nguyen Phi; Kebebew, Electron; Linehan, W. Marston; Metwalli, Adam R.; Pacak, Karel; Pinto, Peter A.; Schiffman, Mark; Schmidt, Laura S.; Vocke, Cathy D.; Wentzensen, Nicolas; Worrell, Robert; Yang, Hannah; Moncrieff, Marc; Goparaju, Chandra; Melamed, Jonathan; Pass, Harvey; Botnariuc, Natalia; Caraman, Irina; Cernat, Mircea; Chemencedji, Inga; Clipca, Adrian; Doruc, Serghei; Gorincioi, Ghenadie; Mura, Sergiu; Pirtac, Maria; Stancul, Irina; Tcaciuc, Diana; Albert, Monique; Alexopoulou, Iakovina; Arnaout, Angel; Bartlett, John; Engel, Jay; Gilbert, Sebastien; Parfitt, Jeremy; Sekhon, Harman; Thomas, George; Rassl, Doris M.; Rintoul, Robert C.; Bifulco, Carlo; Tamakawa, Raina; Urba, Walter; Hayward, Nicholas; Timmers, Henri; Antenucci, Anna; Facciolo, Francesco; Grazi, Gianluca; Marino, Mirella; Merola, Roberta; de Krijger, Ronald; Gimenez-Roqueplo, Anne Paule; Piché, Alain; Chevalier, Simone; McKercher, Ginette; Birsoy, Kivanc; Barnett, Gene; Brewer, Cathy; Farver, Carol; Naska, Theresa; Pennell, Nathan A.; Raymond, Daniel; Schilero, Cathy; Smolenski, Kathy; Williams, Felicia; Morrison, Carl; Borgia, Jeffrey A.; Liptay, Michael J.; Pool, Mark; Seder, Christopher W.; Junker, Kerstin; Omberg, Larsson; Dinkin, Mikhail; Manikhas, George; Alvaro, Domenico; Bragazzi, Maria Consiglia; Cardinale, Vincenzo; Carpino, Guido; Gaudio, Eugenio; Chesla, David; Cottingham, Sandra; Dubina, Michael; Moiseenko, Fedor; Dhanasekaran, Renumathy; Becker, Karl Friedrich; Janssen, Klaus Peter; Slotta-Huspenina, Julia; Abdel-Rahman, Mohamed H.; Aziz, Dina; Bell, Sue; Cebulla, Colleen M.; Davis, Amy; Duell, Rebecca; Elder, J. Bradley; Hilty, Joe; Kumar, Bahavna; Lang, James; Lehman, Norman L.; Mandt, Randy; Nguyen, Phuong; Pilarski, Robert; Rai, Karan; Schoenfield, Lynn; Senecal, Kelly; Wakely, Paul; Hansen, Paul; Lechan, Ronald; Powers, James; Tischler, Arthur; Grizzle, William E.; Sexton, Katherine C.; Kastl, Alison; Henderson, Joel; Porten, Sima; Waldmann, Jens; Fassnacht, Martin; Asa, Sylvia L.; Schadendorf, Dirk; Couce, Marta; Graefen, Markus; Huland, Hartwig; Sauter, Guido; Schlomm, Thorsten; Simon, Ronald; Tennstedt, Pierre; Olabode, Oluwole; Nelson, Mark; Bathe, Oliver; Carroll, Peter R.; Chan, June M.; Disaia, Philip; Glenn, Pat; Kelley, Robin K.; Landen, Charles N.; Phillips, Joanna; Prados, Michael; Simko, Jeffry; Smith-McCune, Karen; VandenBerg, Scott; Roggin, Kevin; Fehrenbach, Ashley; Kendler, Ady; Sifri, Suzanne; Steele, Ruth; Jimeno, Antonio; Carey, Francis; Forgie, Ian; Mannelli, Massimo; Carney, Michael; Hernandez, Brenda; Campos, Benito; Herold-Mende, Christel; Jungk, Christin; Unterberg, Andreas; von Deimling, Andreas; Bossler, Aaron; Galbraith, Joseph; Jacobus, Laura; Knudson, Michael; Knutson, Tina; Ma, Deqin; Milhem, Mohammed; Sigmund, Rita; Godwin, Andrew K.; Madan, Rashna; Rosenthal, Howard G.; Adebamowo, Clement; Adebamowo, Sally N.; Boussioutas, Alex; Beer, David; Giordano, Thomas; Mes-Masson, Anne Marie; Saad, Fred; Bocklage, Therese; Landrum, Lisa; Mannel, Robert; Moore, Kathleen; Moxley, Katherine; Postier, Russel; Walker, Joan; Zuna, Rosemary; Feldman, Michael; Valdivieso, Federico; Dhir, Rajiv; Luketich, James; Pinero, Edna M.Mora; Quintero-Aguilo, Mario; Carlotti, Carlos Gilberto; Dos Santos, Jose Sebastião; Kemp, Rafael; Sankarankuty, Ajith; Tirapelli, Daniela; Catto, James; Agnew, Kathy; Swisher, Elizabeth; Creaney, Jenette; Robinson, Bruce; Shelley, Carl Simon; Godwin, Eryn M.; Kendall, Sara; Shipman, Cassaundra; Bradford, Carol; Carey, Thomas; Haddad, Andrea; Moyer, Jeffey; Peterson, Lisa; Prince, Mark; Rozek, Laura; Wolf, Gregory; Bowman, Rayleen; Fong, Kwun M.; Yang, Ian; Korst, Robert; Rathmell, W. Kimryn; Fantacone-Campbell, J. Leigh; Hooke, Jeffrey A.; Kovatich, Albert J.; Shriver, Craig D.; DiPersio, John; Drake, Bettina; Govindan, Ramaswamy; Heath, Sharon; Ley, Timothy; Van Tine, Brian; Westervelt, Peter; Rubin, Mark A.; Lee, Jung Il; Aredes, Natália D.; Mariamidze, Armaz; Lawrence, Michael S.; Godzik, Adam; Lopez-Bigas, Nuria; Stuart, Josh; Wheeler, David; Getz, Gad; Chen, Ken; Lazar, Alexander J.; Mills, Gordon B.; Karchin, Rachel; Ding, Li

    2018-01-01

    Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced algorithms to identify drivers now exist, but systematic attempts to combine and optimize them on large datasets are few. We report a PanCancer and PanSoftware analysis spanning 9,423 tumor exomes (comprising

  10. Risk Management Analysis on the Car Drivers in Indonesia

    OpenAIRE

    Kuntohadi, Hendro; Pahala, Yosi; Sitanggang, Rohana

    2015-01-01

    Car drivers in Indonesia will always face many kinds of risks. This research contains the context determination of this research, identifies all the significant risks, measures the frequency and impact of all the risks, draws all the identified risks in the chart, and describes how to manage or mitigate the risks. The dangerous risks which have high frequency and high impact are: 1) Many car drivers get the driving license without taking a driving course and without learning carefully the the...

  11. Study on driving control behavior for lane change maneuver. Analysis of expert driver using neural network system; Shasen henkoji no driver sosa tokusei. Neural network system ni yoru jukuren driver no kaiseki

    Energy Technology Data Exchange (ETDEWEB)

    Yang, Z; Okayama, T; Katayama, T [Japan Automobile Research Institute Inc., Tsukuba (Japan); Kageyama, I [Nihon University, Tokyo (Japan)

    1997-10-01

    In order to study driver steering control behavior for vehicle, a driver model for single-lane change maneuver is constructed by a neural network system concerned with the man-machine-environment system. And, using sensitivity analysis, it is found that the model represent the driver control behavior, and the relation between the driver control behavior and vehicle responses. The sensitivity analysis is also examined by applying to the 2nd order predictive driver model. The validity of the sensitivity analysis is confirmed. 5 refs., 8 figs.

  12. Exploring Driver Injury Severity at Intersection: An Ordered Probit Analysis

    Directory of Open Access Journals (Sweden)

    Yaping Zhang

    2015-02-01

    Full Text Available It is well known that intersections are the most hazardous locations; however, only little is known about driver injury severity in intersection crashes. Hence, the main goal of this study was to further examine the different factors contributing to driver injury severity involved in fatal crashes at intersections. Data used for the present analysis was from the US DOT-Fatality Analysis Reporting System (FARS crash database from the year 2011. An ordered probit model was employed to fit the fatal crash data and analyze the factors impacting each injury severity level. The analysis results displayed that driver injury severity is significantly affected by many factors. They include driver age and gender, driver ethnicity, vehicle type and age (years of use, crash type, driving drunk, speeding, violating stop sign, cognitively distracted driving, and seat belt usage. These findings from the current study are beneficial to form a solid basis for adopting corresponding measures to effectively drop injury severity suffering from intersection crash. More insights into the effects of risk factors on driver injury severity could be acquired using more advanced statistical models.

  13. Fast and Precise Symbolic Analysis of Concurrency Bugs in Device Drivers

    OpenAIRE

    Deligiannis, P; Donaldson, AF; Rakamaric, Z

    2015-01-01

    ? 2015 IEEE.Concurrency errors, such as data races, make device drivers notoriously hard to develop and debug without automated tool support. We present Whoop, a new automated approach that statically analyzes drivers for data races. Whoop is empowered by symbolic pairwise lockset analysis, a novel analysis that can soundly detect all potential races in a driver. Our analysis avoids reasoning about thread interleavings and thus scales well. Exploiting the race-freedom guarantees provided by W...

  14. Distraction 'on the buses': a novel framework of ergonomics methods for identifying sources and effects of bus driver distraction.

    Science.gov (United States)

    Salmon, Paul M; Young, Kristie L; Regan, Michael A

    2011-05-01

    Driver distraction represents a significant problem in the public transport sector. Various methods exist for investigating distraction; however, the majority are difficult to apply within the context of naturalistic bus driving. This article investigates the nature of bus driver distraction at a major Australian public transport company, including the sources of distraction present, and their effects on driver performance, through the application of a novel framework of ergonomics methods. The framework represents a novel approach for assessing distraction in a real world context. The findings suggest that there are a number of sources of distraction that could potentially distract bus drivers while driving, including those that derive from the driving task itself, and those that derive from the additional requirements associated with bus operation, such as passenger and ticketing-related distractions. A taxonomy of the sources of bus driver distraction identified is presented, along with a discussion of proposed countermeasures designed to remove the sources identified or mitigate their effects on driver performance. Copyright © 2010 Elsevier Ltd and The Ergonomics Society. All rights reserved.

  15. Prevalence of sleep quality disorder among Iranian drivers: a systematic review and meta-analysis

    Science.gov (United States)

    Tabrizi, Reza; Moosazadeh, Mahmood; Razzaghi, Alireza; Akbari, Maryam; Heydari, Seyed Taghi; Kavari, Seyed Habibollah; Mani, Arash; Kazemi, Maryam; Bagheri Lankarani, Kamran

    2018-01-01

    Abstract: Background: Sleep Quality Disorder (SQD) plays a major role in road accidents. So, this study was carried out to determine the prevalence of SQD among occupational drivers using systematic review and meta-analysis in Iran. Methods: All Persian and English articles between January, 2000 and October, 2015 which had reported the SQD prevalence in Iranian drivers by Pittsburgh Sleep Quality Index (PSQI) with cross-sectional design, after the quality evaluation process and achieving the required score, were selected. The heterogenic index of the studies was distinguished by using Cochran (Q) and I2 tests. Based on heterogeneity results, a random effects model was used to estimate pooled prevalence of SQD. Meta-regression was also used to investigate the heterogeneity of suspected factors. Results: In total, 936 articles were found from national and international databases. Ten articles entered to meta-analysis process, ultimately. Since heterogeneity index suggested that there is a consider-able heterogeneity among the results of primary studies (I-squared = 98.8%, Q= 754.1, p less than 0.001), the overall estimation of SQD among Iranian drivers was conducted using random-effects model and its rate was estimated to be 53.4% (95% CI: 38.9-67.8). Conclusions: Our study demonstrated that more than half of Iranian drivers have SQD. Identifying the drivers with SQD by periodic examinations and providing advice and health care among occupational drivers could be appropriate solutions for decreasing the accident risks. PMID:29362294

  16. Systems analysis for modular versus multi-beam HIF drivers

    International Nuclear Information System (INIS)

    Meier, W.R.; Logan, B.G.

    2004-01-01

    Previous modeling for HIF drivers concentrated on designs in which 100 or more beams are grouped in an array and accelerated through a common set of induction cores. The total beam energy required by the target is achieved by the combination of final ion energy, current per beam and number of beams. Economic scaling favors a large number of small (∼1 cm dia.) beams. An alternative architecture has now been investigated, which we refer to as a modular driver. In this case, the driver is subdivided into many (>10) independent accelerators with one or many beams each. A key objective of the modular driver approach is to be able to demonstrate all aspects of the driver (source-to-target) by building a single, lower cost module compared to a full-scale, multi-beam driver. We consider and compare several design options for the modular driver including single-beam designs with solenoid instead of quadrupole magnets in order to transport the required current per module in a single beam, solenoid/quad combinations, and multi-beam, all-quad designs. The drivers are designed to meet the requirements of the hybrid target, which can accommodate a larger spot size than the distributed radiator target that was used for the Robust Point Design. We compare the multi-beam and modular driver configuration for a variety and assumptions and identify key technology advances needed for the modular design

  17. An application of the driver behavior questionnaire to Chinese carless young drivers.

    Science.gov (United States)

    Zhang, Qian; Jiang, Zuhua; Zheng, Dongpeng; Wang, Yifan; Man, Dong

    2013-01-01

    Carless young drivers refers to those drivers aged between 18 and 25 years who have a driver's license but seldom have opportunities to practice their driving skills because they do not have their own cars. Due to China's lower private car ownership, many young drivers turn into carless young drivers after licensure, and the safety issue associated with them has become a matter of great concern in China. Because few studies have examined the driving behaviors of these drivers, this study aims to utilize the Driver Behavior Questionnaire (DBQ) to investigate the self-reported driving behaviors of Chinese carless young drivers. A total of 523 Chinese carless young drivers (214 females, 309 males) with an average age of 21.91 years completed a questionnaire including the 27-item DBQ and demographics. The data were first randomized into 2 subsamples for factor analysis and then combined together for the following analyses. Both an exploratory factor analysis (EFA, n = 174) and a confirmatory factor analysis (CFA, n = 349) were performed to investigate the factor structure of the DBQ. Correlation analysis was conducted to examine the relationships between the demographics and the DBQ scales' variables. Multivariate linear regression and logistic regression were performed to investigate the prediction of the DBQ scales and crash involvement in the previous year. The EFA produced a 4-factor structure identified as errors, violations, attention lapses, and memory lapses, and the CFA revealed a good model fit after the removal of one item with a low factor loading and the permission of the error covariance between some items. The Chinese carless young drivers reported a comparatively low level of aberrant driving behaviors. The 3 most frequently reported behaviors were all lapses and the 3 least were all violations. Gender was the only significant predictor of the 2 lapses scales and lifetime mileage was the only significant predictor of the violations scale. Only the

  18. Novice drivers' individual trajectories of driver behavior over the first three years of driving.

    Science.gov (United States)

    Roman, Gabriela D; Poulter, Damian; Barker, Edward; McKenna, Frank P; Rowe, Richard

    2015-09-01

    Identifying the changes in driving behavior that underlie the decrease in crash risk over the first few months of driving is key to efforts to reduce injury and fatality risk in novice drivers. This study represented a secondary data analysis of 1148 drivers who participated in the UK Cohort II study. The Driver Behavior Questionnaire was completed at 6 months and 1, 2 and 3 years after licensure. Linear latent growth models indicated significant increases across development in all four dimensions of aberrant driving behavior under scrutiny: aggressive violations, ordinary violations, errors and slips. Unconditional and conditional latent growth class analyses showed that the observed heterogeneity in individual trajectories was explained by the presence of multiple homogeneous groups of drivers, each exhibiting specific trajectories of aberrant driver behavior. Initial levels of aberrant driver behavior were important in identifying sub-groups of drivers. All classes showed positive slopes; there was no evidence of a group of drivers whose aberrant behavior decreased over time that might explain the decrease in crash involvement observed over this period. Male gender and younger age predicted membership of trajectories with higher levels of aberrant behavior. These findings highlight the importance of early intervention for improving road safety. We discuss the implications of our findings for understanding the behavioral underpinnings of the decrease in crash involvement observed in the early months of driving. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

  19. Detection of driver metabolites in the human liver metabolic network using structural controllability analysis

    Science.gov (United States)

    2014-01-01

    Background Abnormal states in human liver metabolism are major causes of human liver diseases ranging from hepatitis to hepatic tumor. The accumulation in relevant data makes it feasible to derive a large-scale human liver metabolic network (HLMN) and to discover important biological principles or drug-targets based on network analysis. Some studies have shown that interesting biological phenomenon and drug-targets could be discovered by applying structural controllability analysis (which is a newly prevailed concept in networks) to biological networks. The exploration on the connections between structural controllability theory and the HLMN could be used to uncover valuable information on the human liver metabolism from a fresh perspective. Results We applied structural controllability analysis to the HLMN and detected driver metabolites. The driver metabolites tend to have strong ability to influence the states of other metabolites and weak susceptibility to be influenced by the states of others. In addition, the metabolites were classified into three classes: critical, high-frequency and low-frequency driver metabolites. Among the identified 36 critical driver metabolites, 27 metabolites were found to be essential; the high-frequency driver metabolites tend to participate in different metabolic pathways, which are important in regulating the whole metabolic systems. Moreover, we explored some other possible connections between the structural controllability theory and the HLMN, and find that transport reactions and the environment play important roles in the human liver metabolism. Conclusion There are interesting connections between the structural controllability theory and the human liver metabolism: driver metabolites have essential biological functions; the crucial role of extracellular metabolites and transport reactions in controlling the HLMN highlights the importance of the environment in the health of human liver metabolism. PMID:24885538

  20. What the drivers do and do not tell you: using verbal protocol analysis to investigate driver behaviour in emergency situations.

    Science.gov (United States)

    Banks, Victoria A; Stanton, Neville A; Harvey, Catherine

    2014-01-01

    Although task analysis of pedestrian detection can provide us with useful insights into how a driver may behave in emergency situations, the cognitive elements of driver decision-making are less well understood. To assist in the design of future Advanced Driver Assistance Systems, such as Autonomous Emergency Brake systems, it is essential that the cognitive elements of the driving task are better understood. This paper uses verbal protocol analysis in an exploratory fashion to uncover the thought processes underlying behavioural outcomes represented by hard data collected using the Southampton University Driving Simulator.

  1. Reduction of low frequency vibration of truck driver and seating system through system parameter identification, sensitivity analysis and active control

    Science.gov (United States)

    Wang, Xu; Bi, Fengrong; Du, Haiping

    2018-05-01

    This paper aims to develop an 5-degree-of-freedom driver and seating system model for optimal vibration control. A new method for identification of the driver seating system parameters from experimental vibration measurement has been developed. The parameter sensitivity analysis has been conducted considering the random excitation frequency and system parameter uncertainty. The most and least sensitive system parameters for the transmissibility ratio have been identified. The optimised PID controllers have been developed to reduce the driver's body vibration.

  2. [Occupational stress situation analysis of different types of train drivers].

    Science.gov (United States)

    Zhou, Wenhui; Gu, Guizhen; Wu, Hui; Yu, Shanfa

    2014-11-01

    To analyze the status of occupational stress in different types of train drivers. By using cluster sampling method, a cross-sectional study was conducted in 1 339 train drivers (including 289 passenger train drivers, 637 freight trains drivers, 339 passenger shunting train drivers, and 74 high speed rail drivers) from a Railway Bureau depot. The survey included individual factors, occupational stress factors, stress response factors and stress mitigating factors. The occupational stress factors, stress response factors and mitigating factors were measured by the revised effort-reward imbalance (ERI) model questionnaires and occupational stress measurement scale. By using the method of covariance analysized the difference of occupational stress factors of all types train drivers, the method of Stepwise regression was used to analyze the effection (R(2)) of occupational stress factors and stress mitigating factors on stress response factors. Covariance analysis as covariates in age, education level, length of service and marital status showed that the scores of ERI (1.58 ± 0.05), extrinsic effort (19.88 ± 0.44), rewards (23.43 ± 0.43), intrinsic effort (17.86 ± 0.36), physical environment (5.70 ± 0.22), social support (30.51 ± 0.88) and daily tension (10.27 ± 0.38 ) of high speed rail drivers were higher than other drivers (F values were 6.06, 11.32, 7.05, 13.25, 5.20, 9.48 and 6.14 respectively, P occupational stress factors and mitigating factors to depressive symptoms of train drivers was high speed rail drivers (R(2) = 0.64), passenger train drivers (R(2) = 0.44), passenger shunting train drivers (R(2) = 0.39), freight trains drivers (R(2) = 0.38); job satisfaction of train drivers was high speed rail drivers (R(2) = 0.68), passenger train drivers (R(2) = 0.62), freight trains drivers (R(2) = 0.43), passenger shunting train drivers(R(2) = 0.38); to daily tension of train drivers was high speed rail drivers (R(2) = 0.54), passenger train drivers (R(2) = 0

  3. Determinants and Drivers of Infectious Disease Threat Events in Europe.

    Science.gov (United States)

    Semenza, Jan C; Lindgren, Elisabet; Balkanyi, Laszlo; Espinosa, Laura; Almqvist, My S; Penttinen, Pasi; Rocklöv, Joacim

    2016-04-01

    Infectious disease threat events (IDTEs) are increasing in frequency worldwide. We analyzed underlying drivers of 116 IDTEs detected in Europe during 2008-2013 by epidemic intelligence at the European Centre of Disease Prevention and Control. Seventeen drivers were identified and categorized into 3 groups: globalization and environment, sociodemographic, and public health systems. A combination of >2 drivers was responsible for most IDTEs. The driver category globalization and environment contributed to 61% of individual IDTEs, and the top 5 individual drivers of all IDTEs were travel and tourism, food and water quality, natural environment, global trade, and climate. Hierarchical cluster analysis of all drivers identified travel and tourism as a distinctly separate driver. Monitoring and modeling such disease drivers can help anticipate future IDTEs and strengthen control measures. More important, intervening directly on these underlying drivers can diminish the likelihood of the occurrence of an IDTE and reduce the associated human and economic costs.

  4. Meta-analysis of graduated driver licensing laws.

    Science.gov (United States)

    2015-11-01

    The objective of the present study was to assess the effectiveness of GDL programs for reducing total, injury, and fatal crashes among drivers 15 to 20 years old by conducting a meta-analysis of GDL research since 2001 that evaluated the effectivenes...

  5. RUBIC identifies driver genes by detecting recurrent DNA copy number breaks

    NARCIS (Netherlands)

    van Dyk, H.O.; Hoogstraat, M; ten Hoeve, J; Reinders, M.J.T.; Wessels, L.F.A.

    2016-01-01

    The frequent recurrence of copy number aberrations across tumour samples is a reliable hallmark of certain cancer driver genes. However, state-of-the-art algorithms for detecting recurrent aberrations fail to detect several known drivers. In this study, we propose RUBIC, an approach that detects

  6. Can Link Analysis Be Applied to Identify Behavioral Patterns in Train Recorder Data?

    Science.gov (United States)

    Strathie, Ailsa; Walker, Guy H

    2016-03-01

    A proof-of-concept analysis was conducted to establish whether link analysis could be applied to data from on-train recorders to detect patterns of behavior that could act as leading indicators of potential safety issues. On-train data recorders capture data about driving behavior on thousands of routine journeys every day and offer a source of untapped data that could be used to offer insights into human behavior. Data from 17 journeys undertaken by six drivers on the same route over a 16-hr period were analyzed using link analysis, and four key metrics were examined: number of links, network density, diameter, and sociometric status. The results established that link analysis can be usefully applied to data captured from on-vehicle recorders. The four metrics revealed key differences in normal driver behavior. These differences have promising construct validity as leading indicators. Link analysis is one method that could be usefully applied to exploit data routinely gathered by on-vehicle data recorders. It facilitates a proactive approach to safety based on leading indicators, offers a clearer understanding of what constitutes normal driving behavior, and identifies trends at the interface of people and systems, which is currently a key area of strategic risk. These research findings have direct applications in the field of transport data monitoring. They offer a means of automatically detecting patterns in driver behavior that could act as leading indicators of problems during operation and that could be used in the proactive monitoring of driver competence, risk management, and even infrastructure design. © 2015, Human Factors and Ergonomics Society.

  7. Method for identifying drivers, barriers and synergies related to the deployment of a CO2 pipeline network : A case study for the Iberian Peninsula and Morocco

    NARCIS (Netherlands)

    Berghout, Niels; Cabal, Helena; Gouveia, João Pedro; van den Broek, Machteld; Faaij, André

    2015-01-01

    This paper provides a method to identify drivers, barriers and synergies (DBS) related to the deployment of a CO2 pipeline network. The method was demonstrated for the West Mediterranean region (WMR) (i.e. Spain, Portugal and Morocco). The method comprises a literature review, analysis of

  8. Advanced driver assistance systems for teen drivers: Teen and parent impressions, perceived need, and intervention preferences.

    Science.gov (United States)

    Weiss, Eve; Fisher Thiel, Megan; Sultana, Nahida; Hannan, Chloe; Seacrist, Thomas

    2018-02-28

    From the advent of airbags to electronic stability control, technological advances introduced into automobile design have significantly reduced injury and death from motor vehicle crashes. These advances are especially pertinent among teen drivers, a population whose leading cause of death is motor vehicle crashes. Recently developed advanced driver assistance systems (ADAS) have the potential to compensate for skill deficits and reduce overall crash risk. Yet, ADAS is only effective if drivers are willing to use it. Limited research has been conducted on the suitability of ADAS for teen drivers. The goal of this study is to identify teen drivers' perceived need for ADAS, receptiveness to in-vehicle technology, and intervention preferences. The long-term goal is to understand public perceptions and barriers to ADAS use and to help determine how these systems must evolve to meet the needs of the riskiest driving populations. Three focus groups (N = 24) were conducted with licensed teen drivers aged 16-19 years and 2 focus groups with parents of teen drivers (N = 12). Discussion topics included views on how ADAS might influence driving skills and behaviors; trust in technology; and data privacy. Discussions were transcribed; the team used conventional content analysis and open coding methods to identify 12 coding domains and code transcripts with NVivo 10. Interrater reliability testing showed moderate to high kappa scores. Overall, participants recognized potential benefits of ADAS, including improved safety and crash reduction. Teens suggested that ADAS is still developing and therefore has potential to malfunction. Many teens reported a greater trust in their own driving ability over vehicle technology. They expressed that novice drivers should learn to drive on non-ADAS-equipped cars and that ADAS should be considered a supplemental aid. Many teens felt that overreliance on ADAS may increase distracted driving or risky behaviors among teens. Parents also

  9. Sudden illness while driving a vehicle--a retrospective analysis of commercial drivers in Japan.

    Science.gov (United States)

    Hitosugi, Masahito; Gomei, Sayaka; Okubo, Takao; Tokudome, Shogo

    2012-01-01

    We performed a retrospective analysis of commercial drivers to clarify the background of incidents of sudden illness while driving. The analysis used reports submitted by employers to the Japan Ministry of Land, Infrastructure, Transport, and Tourism regarding commercial drivers who had been ordered to stop driving owing to health problems. Of 211 cases with an average work history of 15.2 years, there were 88 bus drivers, 70 taxi drivers, and 53 truck drivers, 36.0% of who had died as a result of their disease. Among taxi and truck drivers, more than 70% of incidents were due to cardiac, aortic, and cerebrovascular disease. More than 80% of these were unable to avoid traffic accidents caused by sudden illness. However, among bus drivers, cardiac, aortic, and cerebrovascular disease accounted for only 23.5% of incidents, and accidents were avoided in more than half of the cases. The duration between starting work and the incident time was significantly shorter among bus drivers [mean 3.3 hours, standard deviation (SD) 3.1] than taxi (7.7 hours, SD 5.8) and truck (7.2 hours, SD 6.3) drivers (Pprevent disabling events while driving. As a precaution, physicians should advise commercial drivers to stop driving as soon as they detect slight discomfort. To prevent accidents, more assertive health promotion aimed at professional drivers is needed.

  10. Attitudes of Greek Drivers with Focus on Mobile Phone Use While Driving.

    Science.gov (United States)

    Yannis, George; Theofilatos, Athanasios; Marinou, Paraskevi

    2015-01-01

    This article investigates the attitudes and behavior of Greek drivers with specific focus on mobile phone use while driving. The research is based on the data of the pan-European SARTRE 4 survey, which was conducted on a representative sample of Greek drivers in 2011. Analysis of the drivers' behavior was carried out by the statistical methods of factor and cluster analysis. According to the results of factor analysis, Greek drivers' responses in the selected questions were summarized into 4 factors, describing road behavior and accident involvement probability as well as their views on issues concerning other drivers' road behaviors, fatigued driving, enforcement of road safety, and mobile phone use while driving. The results of cluster analysis indicated 5 different groups of Greek drivers--the moderate, the optimistic, the conservative, the risky, and the reasonably cautious--and the characteristics of each group where identified. These results may be useful for the appropriate design of targeted road safety campaigns and other countermeasures.

  11. Exploring the effects of spatial autocorrelation when identifying key drivers of wildlife crop-raiding.

    Science.gov (United States)

    Songhurst, Anna; Coulson, Tim

    2014-03-01

    Few universal trends in spatial patterns of wildlife crop-raiding have been found. Variations in wildlife ecology and movements, and human spatial use have been identified as causes of this apparent unpredictability. However, varying spatial patterns of spatial autocorrelation (SA) in human-wildlife conflict (HWC) data could also contribute. We explicitly explore the effects of SA on wildlife crop-raiding data in order to facilitate the design of future HWC studies. We conducted a comparative survey of raided and nonraided fields to determine key drivers of crop-raiding. Data were subsampled at different spatial scales to select independent raiding data points. The model derived from all data was fitted to subsample data sets. Model parameters from these models were compared to determine the effect of SA. Most methods used to account for SA in data attempt to correct for the change in P-values; yet, by subsampling data at broader spatial scales, we identified changes in regression estimates. We consequently advocate reporting both model parameters across a range of spatial scales to help biological interpretation. Patterns of SA vary spatially in our crop-raiding data. Spatial distribution of fields should therefore be considered when choosing the spatial scale for analyses of HWC studies. Robust key drivers of elephant crop-raiding included raiding history of a field and distance of field to a main elephant pathway. Understanding spatial patterns and determining reliable socio-ecological drivers of wildlife crop-raiding is paramount for designing mitigation and land-use planning strategies to reduce HWC. Spatial patterns of HWC are complex, determined by multiple factors acting at more than one scale; therefore, studies need to be designed with an understanding of the effects of SA. Our methods are accessible to a variety of practitioners to assess the effects of SA, thereby improving the reliability of conservation management actions.

  12. Sleepiness and sleep-disordered breathing in truck drivers : risk analysis of road accidents.

    Science.gov (United States)

    Catarino, Rosa; Spratley, Jorge; Catarino, Isabel; Lunet, Nuno; Pais-Clemente, Manuel

    2014-03-01

    Portugal has one of the highest road traffic fatality rates in Europe. A clear association between sleep-disordered breathing (SDB) and traffic accidents has been previously demonstrated. This study aimed to determine prevalence of excessive daytime sleepiness (EDS) and other sleep disorder symptoms among truck drivers and to identify which individual traits and work habits are associated to increased sleepiness and accident risk. We evaluated a sample of 714 truck drivers using a questionnaire (244 face-to-face interviews, 470 self-administered) that included sociodemographic data, personal habits, previous accidents, Epworth Sleepiness Scale (ESS), and the Berlin questionnaire (BQ). Twenty percent of drivers had EDS and 29 % were at high risk for having obstructive sleep apnea syndrome (OSAS). Two hundred sixty-one drivers (36.6 %) reported near-miss accidents (42.5 % sleep related) and 264 (37.0 %), a driving accident (16.3 % sleep related). ESS score ≥ 11 was a risk factor for both near-miss accidents (odds ratio (OR)=3.84, paccidents (OR=2.25, paccidents (OR=3.30, p=0.03). We found an association between high Mallampati score (III-IV) and near misses (OR=1.89, p=0.04). In this sample of Portuguese truck drivers, we observed a high prevalence of EDS and other sleep disorder symptoms. Accident risk was related to sleepiness and antidepressant use. Identifying drivers at risk for OSAS should be a major priority of medical assessment centers, as a public safety policy.

  13. Analysis of an induction linac driver system for inertial fusion

    International Nuclear Information System (INIS)

    Hovingh, J.; Brady, V.O.; Faltens, A.; Keefe, D.; Lee, E.P.

    1987-07-01

    A linear induction accelerator that produces a beam of energetic (5 to 20 GeV) heavy (130 to 210 amu) ions is a prime candidate as a driver for inertial fusion. Continuing developments in sources for ions with charge state greater than unity allow a potentially large reduction in the driver cost and an increase in the driver efficiency. The use of high undepressed tunes (σ 0 ≅ 85 0 ) and low depressed tunes (σ ≅ 8.5 0 ) also contributes to a potentially large reduction in the driver cost. The efficiency and cost of the induction linac system are discussed as a function of output energy and pulse repetition frequency for several ion masses and charge states. The cost optimization code LIACEP, including accelerating module alternatives, transport modules, and scaling laws, is presented. Items with large cost-leverage are identified as a guide to future research activities and development of technology that can yield substantial reductions in the accelerator system cost and improvement in the accelerator system efficiency. Finally, a cost-effective strategy using heavy ion induction linacs in a development scenario for inertial fusion is presented. 34 refs., 6 figs., 7 tabs

  14. Optical flow and driver's kinematics analysis for state of alert sensing.

    Science.gov (United States)

    Jiménez-Pinto, Javier; Torres-Torriti, Miguel

    2013-03-28

    Road accident statistics from different countries show that a significant number of accidents occur due to driver's fatigue and lack of awareness to traffic conditions. In particular, about 60% of the accidents in which long haul truck and bus drivers are involved are attributed to drowsiness and fatigue. It is thus fundamental to improve non-invasive systems for sensing a driver's state of alert. One of the main challenges to correctly resolve the state of alert is measuring the percentage of eyelid closure over time (PERCLOS), despite the driver's head and body movements. In this paper, we propose a technique that involves optical flow and driver's kinematics analysis to improve the robustness of the driver's alert state measurement under pose changes using a single camera with near-infrared illumination. The proposed approach infers and keeps track of the driver's pose in 3D space in order to ensure that eyes can be located correctly, even after periods of partial occlusion, for example, when the driver stares away from the camera. Our experiments show the effectiveness of the approach with a correct eyes detection rate of 99.41%, on average. The results obtained with the proposed approach in an experiment involving fifteen persons under different levels of sleep deprivation also confirm the discriminability of the fatigue levels. In addition to the measurement of fatigue and drowsiness, the pose tracking capability of the proposed approach has potential applications in distraction assessment and alerting of machine operators.

  15. Quantitative analysis of the relationship between driver`s behavior and vehicle motion; Sharyo unten ni taisuru untensha no kyodo no teiryoka bunseki ni tsuite

    Energy Technology Data Exchange (ETDEWEB)

    Nakagawa, H; Matsuura, Y [Osaka Sangyo University, Osaka (Japan); Masuda, T

    1997-10-01

    In order to study the subject of driving safety about the human-vehicle interaction, driver`s maneuvering behavior was shot by CCD-cameras installed in a cabin and the motion of traveling vehicle was simultaneously taken by VTR-cameras set on the test course. These pictures were analyzed using the three-dimensional image processing system (Peak Motus system). Consequently, this system was effectively able to use for these measurements and analysis and introduced the correlation between the vehicle movement and the driver`s action. 4 refs., 12 figs., 2 tabs.

  16. Estimating likelihood of future crashes for crash-prone drivers

    Directory of Open Access Journals (Sweden)

    Subasish Das

    2015-06-01

    Full Text Available At-fault crash-prone drivers are usually considered as the high risk group for possible future incidents or crashes. In Louisiana, 34% of crashes are repeatedly committed by the at-fault crash-prone drivers who represent only 5% of the total licensed drivers in the state. This research has conducted an exploratory data analysis based on the driver faultiness and proneness. The objective of this study is to develop a crash prediction model to estimate the likelihood of future crashes for the at-fault drivers. The logistic regression method is used by employing eight years' traffic crash data (2004–2011 in Louisiana. Crash predictors such as the driver's crash involvement, crash and road characteristics, human factors, collision type, and environmental factors are considered in the model. The at-fault and not-at-fault status of the crashes are used as the response variable. The developed model has identified a few important variables, and is used to correctly classify at-fault crashes up to 62.40% with a specificity of 77.25%. This model can identify as many as 62.40% of the crash incidence of at-fault drivers in the upcoming year. Traffic agencies can use the model for monitoring the performance of an at-fault crash-prone drivers and making roadway improvements meant to reduce crash proneness. From the findings, it is recommended that crash-prone drivers should be targeted for special safety programs regularly through education and regulations.

  17. Investigations on Driver Unique Identification from Smartphone’s GPS Data Alone

    Directory of Open Access Journals (Sweden)

    Arijit Chowdhury

    2018-01-01

    Full Text Available Driver identification is an emerging area of interest in vehicle telematics, automobile control, and insurance. Recent body of works indicates that it may be possible to uniquely identify a driver using multiple dedicated sensors. In this paper, we present an approach for driver identification using smartphone GPS data alone. For our experiments, we collected data from 38 drivers for two months. We quantified the driver’s natural style by extracting a set of 137 statistical features from data generated for each completed trip. The analysis shows that, for the “driver identification” problem, an average accuracy of 82.3% is achieved for driver groups of 4-5 drivers. This is comparable to the state of the arts where mostly a multisensor approach has been taken. Further, it is shown that certain behavioral attributes like high driving skill impact identification accuracy. We observe that Random Forest classifier offers the best results. These results have great implications for various stakeholders since the proposed method can identify a driver based on his/her naturalistic driving style which is quantified in terms of statistical parameters extracted from only GPS data.

  18. Redesign of Transjakarta Bus Driver's Cabin

    Science.gov (United States)

    Mardi Safitri, Dian; Azmi, Nora; Singh, Gurbinder; Astuti, Pudji

    2016-02-01

    Ergonomic risk at work stations with type Seated Work Control was one of the problems faced by Transjakarta bus driver. Currently “Trisakti” type bus, one type of bus that is used by Transjakarta in corridor 9, serving route Pinang Ranti - Pluit, gained many complaints from drivers. From the results of Nordic Body Map questionnaires given to 30 drivers, it was known that drivers feel pain in the neck, arms, hips, and buttocks. Allegedly this was due to the seat position and the button/panel bus has a considerable distance range (1 meter) to be achieved by drivers. In addition, preliminary results of the questionnaire using Workstation Checklist identified their complaints about uncomfortable cushion, driver's seat backrest, and the exact position of the AC is above the driver head. To reduce the risk level of ergonomics, then did research to design the cabin by using a generic approach to designing products. The risk analysis driver posture before the design was done by using Rapid Upper Limb Assessment (RULA), Rapid Entire Body Assessment (REBA), and Quick Exposure Checklist (QEC), while the calculation of the moment the body is done by using software Mannequin Pro V10.2. Furthermore, the design of generic products was done through the stages: need metric-matrix, house of quality, anthropometric data collection, classification tree concept, concept screening, scoring concept, design and manufacture of products in the form of two-dimensional. While the design after design risk analysis driver posture was done by using RULA, REBA, and calculation of moments body as well as the design visualized using software 3DMax. From the results of analysis before the draft design improvements cabin RULA obtained scores of 6, REBA 9, and the result amounted to 57.38% QEC and moment forces on the back is 247.3 LbF.inch and on the right hip is 72.9 LbF.in. While the results of the proposed improvements cabin design RULA obtained scores of 3, REBA 4, and the moment of force on

  19. Cost/performance analysis of an induction linac driver system for inertial fusion

    International Nuclear Information System (INIS)

    Hovingh, J.; Brady, V.O.; Faltens, A.; Hoyer, E.H.; Lee, E.P.

    1986-01-01

    A linear induction accelerator that produces a beam of energetic (≅ 10 GeV) heavy (A ≅ 200) ions is a prime candidate as a driver for inertial fusion. Continuing developments is amorphous iron for use in accelerating modules represent a potentially large reduction in the driver cost and an increase in the driver efficiency. Additional insulator developments may also represent a potentially large reduction in the driver cost. The efficiency and cost of the induction linac system is discussed as a function of output energy and pulse repetition frequency for several beam charge states, numbers of beams and beam particle species. Accelerating modules and transport modules are described. Large cost leverage items are identified as a guide to future research activities and technology of development that can yield further substantial reductions in the accelerator system cost and improvement in the accelerator system efficiency

  20. Cost/performance analysis of an induction linac driver system for inertial fusion

    International Nuclear Information System (INIS)

    Hovingh, J.; Brady, V.O.; Faltens, A.; Hoyer, E.H.; Lee, E.P.

    1985-11-01

    A linear induction accelerator that produces a beam of energetic (approx. =10 GeV) heavy (CAapprox.200) ions is a prime candidate as a driver for inertial fusion. Continuing developments in amorphous iron for use in accelerating modules represent a potentially large reduction in the driver cost and an increase in the driver efficiency. Additional insulator developments may also represent a potentially large reduction in the driver cost. The efficiency and cost of the induction linac system is discussed as a function of output energy and pulse repetition frequency for several beam charge states, numbers of beams and beam particle species. Accelerating modules and transport modules will be described. Large cost leverage items will be identified as a guide to future research activities and technology of development that can yield further substantial reductions in the accelerator system cost and improvement in the accelerator system efficiency. 13 refs., 2 figs

  1. Driver style and driver skill – Clustering sub-groups of drivers differing in their potential danger in traffic

    DEFF Research Database (Denmark)

    Martinussen, Laila Marianne; Møller, Mette; Prato, Carlo Giacomo

    The Driver Behavior Questionnaire (DBQ) and the Driver Skill Inventory (DSI) are two of the most frequently used measures of self-reported driving style and driving skill. The motivation behind the present study was to test drivers’ consistency or judgment of their own self-reported driving ability...... based on a combined use of the DBQ and the DSI. Moreover, the joint use of the two instruments was applied to identify sub-groups of drivers that differ in their potential danger in traffic (as measured by frequency of aberrant driving behaviors and level of driving skills), as well as to test whether...... the sub-groups of drivers differed in characteristics such as age, gender, annual mileage and accident involvement. 3908 drivers aged 18–84 participated in the survey. The results suggested that the drivers are consistent in their reporting of driving ability, as the self-reported driving skill level...

  2. The Drivers of Success in Business Model Transformation

    Directory of Open Access Journals (Sweden)

    Nenad Savič

    2016-01-01

    Full Text Available Existing empirical literature on business models is still inconclusive about the key drivers of successful business model transformation. The paper explores this issue by using a single longitudinal case study design in combination with grounded theory approach on a medium-sized, high-tech and globally oriented company. Based on on-site visits, interviews and secondary documentation data analysis, the study identifies six generic drivers of successful business model transformation: transformational leadership, discovery driven decision-making, industry improvement – customer specific orientation, content-oriented communication, self-initiative collaborators, and phased separation strategy. The new drivers supplement our existing knowledge on how successful transformation takes place and add to existing drivers, while extensive discussion of their implications may help the managers to execute business transformations more effectively.

  3. Somatic chromosomal engineering identifies BCAN-NTRK1 as a potent glioma driver and therapeutic target.

    Science.gov (United States)

    Cook, Peter J; Thomas, Rozario; Kannan, Ram; de Leon, Esther Sanchez; Drilon, Alexander; Rosenblum, Marc K; Scaltriti, Maurizio; Benezra, Robert; Ventura, Andrea

    2017-07-11

    The widespread application of high-throughput sequencing methods is resulting in the identification of a rapidly growing number of novel gene fusions caused by tumour-specific chromosomal rearrangements, whose oncogenic potential remains unknown. Here we describe a strategy that builds upon recent advances in genome editing and combines ex vivo and in vivo chromosomal engineering to rapidly and effectively interrogate the oncogenic potential of genomic rearrangements identified in human brain cancers. We show that one such rearrangement, an microdeletion resulting in a fusion between Brevican (BCAN) and Neurotrophic Receptor Tyrosine Kinase 1 (NTRK1), is a potent oncogenic driver of high-grade gliomas and confers sensitivity to the experimental TRK inhibitor entrectinib. This work demonstrates that BCAN-NTRK1 is a bona fide human glioma driver and describes a general strategy to define the oncogenic potential of novel glioma-associated genomic rearrangements and to generate accurate preclinical models of this lethal human cancer.

  4. Driver Behavior During Overtaking Maneuvers from the 100-Car Naturalistic Driving Study.

    Science.gov (United States)

    Chen, Rong; Kusano, Kristofer D; Gabler, Hampton C

    2015-01-01

    Lane changes with the intention to overtake the vehicle in front are especially challenging scenarios for forward collision warning (FCW) designs. These overtaking maneuvers can occur at high relative vehicle speeds and often involve no brake and/or turn signal application. Therefore, overtaking presents the potential of erroneously triggering the FCW. A better understanding of driver behavior during lane change events can improve designs of this human-machine interface and increase driver acceptance of FCW. The objective of this study was to aid FCW design by characterizing driver behavior during lane change events using naturalistic driving study data. The analysis was based on data from the 100-Car Naturalistic Driving Study, collected by the Virginia Tech Transportation Institute. The 100-Car study contains approximately 1.2 million vehicle miles of driving and 43,000 h of data collected from 108 primary drivers. In order to identify overtaking maneuvers from a large sample of driving data, an algorithm to automatically identify overtaking events was developed. The lead vehicle and minimum time to collision (TTC) at the start of lane change events was identified using radar processing techniques developed in a previous study. The lane change identification algorithm was validated against video analysis, which manually identified 1,425 lane change events from approximately 126 full trips. Forty-five drivers with valid time series data were selected from the 100-Car study. From the sample of drivers, our algorithm identified 326,238 lane change events. A total of 90,639 lane change events were found to involve a closing lead vehicle. Lane change events were evenly distributed between left side and right side lane changes. The characterization of lane change frequency and minimum TTC was divided into 10 mph speed bins for vehicle travel speeds between 10 and 90 mph. For all lane change events with a closing lead vehicle, the results showed that drivers change

  5. Driver steering model for closed-loop steering function analysis

    Science.gov (United States)

    Bolia, Pratiksh; Weiskircher, Thomas; Müller, Steffen

    2014-05-01

    In this paper, a two level preview driver steering control model for the use in numerical vehicle dynamics simulation is introduced. The proposed model is composed of cascaded control loops: The outer loop is the path following layer based on potential field framework. The inner loop tries to capture the driver's physical behaviour. The proposed driver model allows easy implementation of different driving situations to simulate a wide range of different driver types, moods and vehicle types. The expediency of the proposed driver model is shown with the help of developed driver steering assist (DSA) function integrated with a conventional series production (Electric Power steering System with rack assist servo unit) system. With the help of the DSA assist function, the driver is prevented from over saturating the front tyre forces and loss of stability and controllability during cornering. The simulation results show different driver reactions caused by the change in the parameters or properties of the proposed driver model if the DSA assist function is activated. Thus, the proposed driver model is useful for the advanced driver steering and vehicle stability assist function evaluation in the early stage of vehicle dynamics handling and stability evaluation.

  6. Characteristics of Chinese Driver Behavior

    NARCIS (Netherlands)

    Li, J.

    2014-01-01

    The high growth rate of vehicle ownership and many novel drivers in China determine the special features of Chinese driver behavior. This thesis introduces a comparative study on driver behavior by the analysis of saturation flow at urban intersections, Driver Behavior Questionnaire surveys, focus

  7. Driving fatigue in professional drivers: a survey of truck and taxi drivers.

    Science.gov (United States)

    Meng, Fanxing; Li, Shuling; Cao, Lingzhi; Li, Musen; Peng, Qijia; Wang, Chunhui; Zhang, Wei

    2015-01-01

    Fatigue among truck drivers has been studied extensively; however, less is known regarding the fatigue experience of taxi drivers in heavily populated metropolitan areas. This study aimed to compare the differences and similarities between truck and taxi driver fatigue to provide implications for the fatigue management and education of professional drivers. A sample of 274 truck drivers and 286 taxi drivers in Beijing was surveyed via a questionnaire, which included items regarding work characteristics, fatigue experience, accident information, attitude toward fatigue, and methods of counteracting fatigue. Driver fatigue was prevalent among professional drivers, and it was even more serious for taxi drivers. Taxi drivers reported more frequent fatigue experiences and were involved in more accidents. Among the contributing factors to fatigue, prolonged driving time was the most important factor identified by both driver groups. Importantly, the reason for the engagement in prolonged driving was neither due to the lack of awareness concerning the serious outcome of fatigue driving nor because of their poor detection of fatigue. The most probable reason was the optimism bias, as a result of which these professional drivers thought that fatigue was more serious for other drivers than for themselves, and they thought that they were effective in counteracting the effect of fatigue on their driving performance. Moreover, truck drivers tended to employ methods that require stopping to counteract fatigue, whereas taxi drivers preferred methods that were simultaneous with driving. Although both driver groups considered taking a nap as one of the most effective means to address fatigue, this method was not commonly used. Interestingly, these drivers were aware that the methods they frequently used were not the most effective means to counteract fatigue. This study provides knowledge on truck and taxi drivers' characteristics in fatigue experience, fatigue attitude, and

  8. Drivers of Sales Innovation in Business-To-Business Firms

    DEFF Research Database (Denmark)

    Ritter, Thomas; Geersbro, Jens

    2014-01-01

    This paper defines the term sales innovation, offers an operationalization of the concept, and discusses antecedents of sales innovation in terms of important internal and external drivers. An empirical analysis of 409 B2B firms identifies the internal drivers of sales innovation as increased top...... management focus and increased resource allocation as well as increasing customer and competitor dynamics as external drivers. Despite the suggested positive impact of the degree of competitive pressure on sales innovation, the empirical results suggest a significant negative impact, i.e. competitive...... pressure leads to less innovation in sales. Finally the paper suggests managerial implications as well as avenues of further research in this area....

  9. SPIDER: A Framework for Understanding Driver Distraction.

    Science.gov (United States)

    Strayer, David L; Fisher, Donald L

    2016-02-01

    The objective was to identify key cognitive processes that are impaired when drivers divert attention from driving. Driver distraction is increasingly recognized as a significant source of injuries and fatalities on the roadway. A "SPIDER" model is developed that identifies key cognitive processes that are impaired when drivers divert attention from driving. SPIDER is an acronym standing for scanning, predicting, identifying, decision making, and executing a response. When drivers engage in secondary activities unrelated to the task of driving, SPIDER-related processes are impaired, situation awareness is degraded, and the ability to safely operate a motor vehicle may be compromised. The pattern of interference helps to illuminate the sources of driver distraction and may help guide the integration of new technology into the automobile. © 2015, Human Factors and Ergonomics Society.

  10. Reducing risky driver behaviour through the implementation of a driver risk management system

    Directory of Open Access Journals (Sweden)

    Rose Luke

    2014-11-01

    Full Text Available South Africa has one of the highest incidences of road accidents in the world. Most accidents are avoidable and are caused by driver behaviour and errors. The purpose of this article was to identify the riskiest driver behaviours in commercial fleets in South Africa, to determine the business impact of such behaviour, to establish a framework for the management of risky driver behaviour and to test the framework by applying a leading commercial driver behaviour management system as a case study. The case study comprised three South African commercial fleets. Using data from these fleets, critical incident triangles were used to determine the ratio data of risky driver behaviour to near-collisions and collisions. Based on managing the riskiest driver behaviours as causes of more serious incidents and accidents, the results indicated that through the implementation of an effective driver risk management system, risky incidents were significantly reduced.

  11. Key drivers for market penetration of biosimilars in Europe.

    Science.gov (United States)

    Rémuzat, Cécile; Dorey, Julie; Cristeau, Olivier; Ionescu, Dan; Radière, Guerric; Toumi, Mondher

    2017-01-01

    Background & Objectives : Potential drivers and barriers of biosimilar uptake were mainly analysed through qualitative approaches. The study objective was to conduct a quantitative analysis and identify drivers of biosimilar uptake of all available biosimilars in the European Union (EU). Methods : A three-step process was established to identify key drivers for the uptake of biosimilars in the top 10 EU member states (MS) pharmaceutical markets (Belgium, France, Germany, Greece, Hungary, Italy, Poland, Spain, Sweden, and the UK): (1) literature review to identify incentive policies in place to enhance biosimilars adoption; (2) assessment of biosimilar market dynamics based on database analysis; (3) regression model analysis on price using the following explicative variables: incentive policies; price difference between the biosimilar and the originator product; distribution channel; generic uptake and generic price cut; pharmaceutical expenditure per capita; and market competition. Results : At the study cut-off date, 20 biosimilars were available on the market. Incentive policies applied to biosimilars were found to be heterogeneous across countries, and uptakes of biosimilars were also very heterogeneous between different therapeutic classes and countries. Results from the model demonstrated that incentive policies and the date of first biosimilar market entry were correlated to biosimilar uptake. Pharmaceutical expenditure per capita and the highest generic uptake were inversely correlated with biosimilar uptake. Average generic price discount over originator and the number of biosimilars showed a trend toward statistical significance for correlation with biosimilar uptake, but did not reach the significance threshold. Biosimilar price discount over original biologic price, the number of analogues, and the distribution channel were not correlated with the biosimilar uptake. Conclusions : Understanding drivers of biosimilar uptake becomes a critical issue to

  12. Key drivers for market penetration of biosimilars in Europe

    Science.gov (United States)

    Rémuzat, Cécile; Dorey, Julie; Cristeau, Olivier; Ionescu, Dan; Radière, Guerric; Toumi, Mondher

    2017-01-01

    ABSTRACT Background & Objectives: Potential drivers and barriers of biosimilar uptake were mainly analysed through qualitative approaches. The study objective was to conduct a quantitative analysis and identify drivers of biosimilar uptake of all available biosimilars in the European Union (EU). Methods: A three-step process was established to identify key drivers for the uptake of biosimilars in the top 10 EU member states (MS) pharmaceutical markets (Belgium, France, Germany, Greece, Hungary, Italy, Poland, Spain, Sweden, and the UK): (1) literature review to identify incentive policies in place to enhance biosimilars adoption; (2) assessment of biosimilar market dynamics based on database analysis; (3) regression model analysis on price using the following explicative variables: incentive policies; price difference between the biosimilar and the originator product; distribution channel; generic uptake and generic price cut; pharmaceutical expenditure per capita; and market competition. Results: At the study cut-off date, 20 biosimilars were available on the market. Incentive policies applied to biosimilars were found to be heterogeneous across countries, and uptakes of biosimilars were also very heterogeneous between different therapeutic classes and countries. Results from the model demonstrated that incentive policies and the date of first biosimilar market entry were correlated to biosimilar uptake. Pharmaceutical expenditure per capita and the highest generic uptake were inversely correlated with biosimilar uptake. Average generic price discount over originator and the number of biosimilars showed a trend toward statistical significance for correlation with biosimilar uptake, but did not reach the significance threshold. Biosimilar price discount over original biologic price, the number of analogues, and the distribution channel were not correlated with the biosimilar uptake. Conclusions: Understanding drivers of biosimilar uptake becomes a critical issue to

  13. Driver feedback mobile APP

    Energy Technology Data Exchange (ETDEWEB)

    Soriguera Marti, F.; Miralles Miquel, E.

    2016-07-01

    This paper faces the human factor in driving and its consequences for road safety. It presents the concepts behind the development of a smartphone app capable of evaluating drivers’ performance. The app provides feedback to the driver in terms of a grade (between 0 and 10) depending on the aggressiveness and risks taken while driving. These are computed from the cumulative probability distribution function of the jerks (i.e. the time derivative of acceleration), which are measured using the smartphones’ accelerometer. Different driving contexts (e.g. urban, freeway, congestion, etc.) are identified applying cluster analysis to the measurements, and treated independently. Using regression analysis, the aggressiveness indicator is related to the drivers' safety records and to the probability of having an accident, through the standard DBQ - Driving Behavior Questionnaire. Results from a very limited pilot test show a strong correlation between the 99th percentile of the jerk measurements and the DBQ results. A linear model is fitted. This allows quantifying the safe driving behavior only from smartphone measurements. Finally, this indicator is translated into a normalized grade and feedback to the driver. This feedback will challenge the driver to train and to improve his performance. The phone will be blocked while driving and will incorporate mechanisms to prevent bad practices, like competition in aggressive driving. The app is intended to contribute to the improvement of road safety, one of the major public health problems, by tackling the human factor which is the trigger of the vast majority of traffic accidents. Making explicit and quantifying risky behaviors is the first step towards a safer driving. (Author)

  14. A scenario elicitation methodology to identify the drivers of electricity infrastructure cost in South America

    Science.gov (United States)

    Moksnes, Nandi; Taliotis, Constantinos; Broad, Oliver; de Moura, Gustavo; Howells, Mark

    2017-04-01

    Developing a set of scenarios to assess a proposed policy or future development pathways requires a certain level of information, as well as establishing the socio-economic context. As the future is difficult to predict, great care in defining the selected scenarios is needed. Even so it can be difficult to assess if the selected scenario is covering the possible solution space. Instead, this paper's methodology develops a large set of scenarios (324) in OSeMOSYS using the SAMBA 2.0 (South America Model Base) model to assess long-term electricity supply scenarios and applies a scenario-discovery statistical data mining algorithm, Patient Rule Induction Method (PRIM). By creating a multidimensional space, regions related to high and low cost can be identified as well as their key driver. The six key drivers are defined a priori in three (high, medium, low) or two levers (high, low): 1) Demand projected from GDP, population, urbanization and transport, 2) Fossil fuel price, 3) Climate change impact on hydropower, 4) Renewable technology learning rate, 5) Discount rate, 6) CO2 emission targets.

  15. POLITICAL PROCESS DRIVERS OF CORRUPTION IN EASTERN EUROPE

    Directory of Open Access Journals (Sweden)

    Ada-Iuliana POPESCU

    2016-12-01

    Full Text Available Corruption stands as one of the many obstacles to the political and economic security of the Eastern European region. Thus, despite the political and economic instability in the region, Eastern European countries, in and outside of the European Union need to fight corruption collectively and individually. The task is difficult, but hope is justified because the causes of corruption in this part of the region are similar and anti-corruption expertise is available. We believe that a deeper analysis of corruption’s drivers can produce a better articulated and more efficient anti-corruption strategy. This strategy will create an anti-corruption infrastructure that will strengthen the Eastern European Partnership. As a prelude to the deeper analysis that we believe must be a part of this strategy, this paper identifies the main drivers of corruption in the Eastern European Partnership countries and explains why addressing these drivers will strengthen the Eastern European Partnership.

  16. Extracting Fitness Relationships and Oncogenic Patterns among Driver Genes in Cancer.

    Science.gov (United States)

    Zhang, Xindong; Gao, Lin; Jia, Songwei

    2017-12-25

    Driver mutation provides fitness advantage to cancer cells, the accumulation of which increases the fitness of cancer cells and accelerates cancer progression. This work seeks to extract patterns accumulated by driver genes ("fitness relationships") in tumorigenesis. We introduce a network-based method for extracting the fitness relationships of driver genes by modeling the network properties of the "fitness" of cancer cells. Colon adenocarcinoma (COAD) and skin cutaneous malignant melanoma (SKCM) are employed as case studies. Consistent results derived from different background networks suggest the reliability of the identified fitness relationships. Additionally co-occurrence analysis and pathway analysis reveal the functional significance of the fitness relationships with signaling transduction. In addition, a subset of driver genes called the "fitness core" is recognized for each case. Further analyses indicate the functional importance of the fitness core in carcinogenesis, and provide potential therapeutic opportunities in medicinal intervention. Fitness relationships characterize the functional continuity among driver genes in carcinogenesis, and suggest new insights in understanding the oncogenic mechanisms of cancers, as well as providing guiding information for medicinal intervention.

  17. Exploring older driver crash trend: New Jersey case study

    Directory of Open Access Journals (Sweden)

    Vanvi Trieu

    2014-04-01

    Full Text Available Older drivers age 65 and above are known to experience greater risk on the roadway as well as increasing the risk to other roadway users. Within the next 20 years, their population is expected to increase from 41 million in 2011 to 70 million in 2030. To address this foreseeable change, the nation's recent Moving Ahead for Progress in the 21st Century (MAP-21 act requires state and local governments to examine older drivers and pedestrian risks and implement countermeasures as appropriate. This research was conducted to assist agencies in strategising for future plans, programmes and initiatives to better address the problem presented. This was accomplished by performing a detailed engineering analysis on crash data of older drivers over a 10-year period (2003–2012 from the state of New Jersey to identify crash trends and characteristics. A major finding from this research was the increase in fatal crashes of older drivers as a function of age. Top-ranking collision types with other vehicles and non-vehicles were identified. Crashes as a function of seasonal change, climate and lighting conditions were also examined.

  18. Healthcare Programmes for Truck Drivers in Sub-Saharan Africa: A Systematic Review and Meta-Analysis.

    Science.gov (United States)

    Lalla-Edward, Samanta Tresha; Fobosi, Siyabulela Christopher; Hankins, Catherine; Case, Kelsey; Venter, W D Francois; Gomez, Gabriela

    2016-01-01

    Truck drivers have unique health needs, and by virtue of their continuous travel, experience difficulty in accessing healthcare. Currently, planning for effective care is hindered by lack of knowledge about their health needs and about the impact of on-going programmes on this population's health outcomes. We reviewed healthcare programmes implemented for sub-Saharan African truck drivers, assessed the evaluation methods, and examined impact on health outcomes. We searched scientific and institutional databases, and online search engines to include all publications describing a healthcare programme in sub-Saharan Africa where the main clients were truck drivers. We consulted experts and organisations working with mobile populations to identify unpublished reports. Forest plots of impact and outcome indicators with unadjusted risk ratios and 95% confidence intervals were created to map the impact of these programmes. We performed a subgroup analysis by type of indicator using a random-effects model to assess between-study heterogeneity. We conducted a sensitivity analysis to examine both the summary effect estimate chosen (risk difference vs. risk ratio) and model to summarise results (fixed vs. random effects). Thirty-seven publications describing 22 healthcare programmes across 30 countries were included from 5,599 unique records. All programmes had an HIV-prevention focus with only three expanding their services to cover conditions other primary healthcare services. Twelve programmes were evaluated and most evaluations assessed changes in input, output, and outcome indicators. Absence of comparison groups, preventing attribution of the effect observed to the programme and lack of biologically confirmed outcomes were the main limitations. Four programmes estimated a quantitative change in HIV prevalence or reported STI incidence, with mixed results, and one provided anecdotal evidence of changes in AIDS-related mortality and social norms. Most programmes showed

  19. Stress and strain of short haul bus drivers: psychophysiology as a design oriented method for analysis.

    Science.gov (United States)

    Göbel, M; Springer, J; Scherff, J

    1998-05-01

    Psychophysiological measures offer objective information for workplace design according to user requirements. They are, however, rarely applied in industrial practice due to weak points from the designer's point of view, such as the differentiation of various superimposed stressors, inter-individual differences, and the effort required for data acquisition and handling. In this study a set of psychophysiological methods was used to analyse bus driver workplaces as a basis for redesign, and afterwards to evaluate design improvements. During inner-city operation bus drivers are exposed to a particular workload situation, especially due to the high density of traffic and bus stops. Their job is characterized by highly frequent and often simultaneous task execution, performed with a compulsory body posture and under exposure to vibration and noise. To reduce the workload related to the equipment and tasks of bus driving, a research project was initiated to design a new driver workplace that meets the specific ergonomic requirements of the drivers. A detailed workload analysis, consisting of a task analysis, a strain analysis derived from ECG measures and an eye movement analysis was performed during public bus driving in different cities and with different drivers and bus types. Although the results have to be considered as somewhat limited owing to the methodological restraints and conditions of a field study, they provided valuable guidance for design. A new concept for the driver cabin was created based on this database. After installation, this design was evaluated by similar psychophysiological measures. Comparison of the pre- and post results indicates that the redesigned work station reduced workload levels.

  20. Alcohol and drug involvement in motorcycle driver injuries in the city of Sao Paulo, Brazil: Analysis of crash culpability and other associated factors.

    Science.gov (United States)

    de Carvalho, Heraclito Barbosa; Andreuccetti, Gabriel; Rezende, Marcelo Rosa; Bernini, Celso; Silva, Jorge Santos; Leyton, Vilma; D'Andréa Greve, Julia Maria

    2016-05-01

    Earlier studies have already identified that a greater proportion of injured drivers are under the effects of illicit drugs than alcohol in Brazil, but the crash risk attributable to each substance is still unknown. Injured motorcycle drivers who were involved in traffic accidents in the West Zone of the city of Sao Paulo were recruited for a cross-sectional study based on crash culpability analysis. Alcohol and drug positivity among drivers was evaluated according to their responsibility for the crash. Culpability ratios were generated based on the proportion of drivers who were deemed culpable in relation to those considered not culpable according to the use of drugs and alcohol. Of the 273 drivers recruited, 10.6% tested positive for alcohol. Among those who were also tested for drugs (n=232), 20.3% had consumed either alcohol and/or other drugs, 15.5% of whom were positive only for drugs other than alcohol, specifically cannabis and cocaine. Drivers who tested positive for alcohol were significantly less likely to possess a valid driver's license and to report driving professionally, whereas those who had consumed only drugs were more likely to drive professionally. The culpability ratio estimated for alcohol-positive drivers was three times higher than that for alcohol-free drivers, showing a superior ratio than drivers who had consumed only drugs other than alcohol, who presented a 1.7 times higher culpability ratio than drug-free drivers. Substance use was overrepresented among culpable motorcycle drivers, with alcohol showing a greater contribution to crash culpability than other drugs. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  1. Analysis of Driver Evasive Maneuvering Prior to Intersection Crashes Using Event Data Recorders.

    Science.gov (United States)

    Scanlon, John M; Kusano, Kristofer D; Gabler, Hampton C

    2015-01-01

    Intersection crashes account for over 4,500 fatalities in the United States each year. Intersection Advanced Driver Assistance Systems (I-ADAS) are emerging vehicle-based active safety systems that have the potential to help drivers safely navigate across intersections and prevent intersection crashes and injuries. The performance of an I-ADAS is expected to be highly dependent upon driver evasive maneuvering prior to an intersection crash. Little has been published, however, on the detailed evasive kinematics followed by drivers prior to real-world intersection crashes. The objective of this study was to characterize the frequency, timing, and kinematics of driver evasive maneuvers prior to intersection crashes. Event data recorders (EDRs) downloaded from vehicles involved in intersection crashes were investigated as part of NASS-CDS years 2001 to 2013. A total of 135 EDRs with precrash vehicle speed and braking application were downloaded to investigate evasive braking. A smaller subset of 59 EDRs that collected vehicle yaw rate was additionally analyzed to investigate evasive steering. Each vehicle was assigned to one of 3 precrash movement classifiers (traveling through the intersection, completely stopped, or rolling stop) based on the vehicle's calculated acceleration and observed velocity profile. To ensure that any significant steering input observed was an attempted evasive maneuver, the analysis excluded vehicles at intersections that were turning, driving on a curved road, or performing a lane change. Braking application at the last EDR-recorded time point was assumed to indicate evasive braking. A vehicle yaw rate greater than 4° per second was assumed to indicate an evasive steering maneuver. Drivers executed crash avoidance maneuvers in four-fifths of intersection crashes. A more detailed analysis of evasive braking frequency by precrash maneuver revealed that drivers performing complete or rolling stops (61.3%) braked less often than drivers

  2. An analysis of health promotion materials for Dutch truck drivers: Off target and too complex?

    Science.gov (United States)

    Boeijinga, Anniek; Hoeken, Hans; Sanders, José

    2017-01-01

    Despite various health promotion initiatives, unfavorable figures regarding Dutch truck drivers' eating behaviors, exercise behaviors, and absenteeism have not improved. The aim was to obtain a better understanding of the low level of effectiveness of current health interventions for Dutch truck drivers by examining to what extent these are tailored to the target group's particular mindset (focus of content) and health literacy skills (presentation of content). The article analyzes 21 health promotion materials for Dutch truck drivers using a two-step approach: (a) an analysis of the materials' focus, guided by the Health Action Process Approach; and (b) an argumentation analysis, guided by pragma-dialectics. The corpus analysis revealed: (a) a predominant focus on the motivation phase; and (b) in line with the aim of motivating the target group, a consistent use of pragmatic arguments, which were typically presented in an implicit way. The results indicate that existing health promotion materials for Dutch truck drivers are not sufficiently tailored to the target group's mindset and health literacy skills. Recommendations are offered to develop more tailored/effective health interventions targeting this high-risk, underserved occupational group.

  3. Whole-core damage analysis of EBR-II driver fuel elements following SHRT program

    International Nuclear Information System (INIS)

    Chang, L.K.; Koenig, J.F.; Porter, D.L.

    1987-01-01

    In the Shutdown Heat Removal Testing (SHRT) program in EBR-II, fuel element cladding temperatures of some driver subassemblies were predicted to exceed temperatures at which cladding breach may occur. A whole-core thermal analysis of driver subassemblies was performed to determine the cladding temperatures of fuel elemnts, and these temperatures were used for fuel element damage calculation. The accumulated cladding damage of fuel element was found to be very small and fuel element failure resulting from SHRT transients is unlikely. No element breach was noted during the SHRT transients. The reactor was immediately restarted after the most severe SHRT transient had been completed and no driver fuel breach has been noted to date. (orig.)

  4. Observed and projected drivers of emerging infectious diseases in Europe.

    Science.gov (United States)

    Semenza, Jan C; Rocklöv, Joacim; Penttinen, Pasi; Lindgren, Elisabet

    2016-10-01

    Emerging infectious diseases are of international concern because of the potential for, and impact of, pandemics; however, they are difficult to predict. To identify the drivers of disease emergence, we analyzed infectious disease threat events (IDTEs) detected through epidemic intelligence collected at the European Centre for Disease Prevention and Control (ECDC) between 2008 and 2013, and compared the observed results with a 2008 ECDC foresight study of projected drivers of future IDTEs in Europe. Among 10 categories of IDTEs, foodborne and waterborne IDTEs were the most common, vaccine-preventable IDTEs caused the highest number of cases, and airborne IDTEs caused the most deaths. Observed drivers for each IDTE were sorted into three main groups: globalization and environmental drivers contributed to 61% of all IDTEs, public health system drivers contributed to 21%, and social and demographic drivers to 18%. A multiple logistic regression analysis showed that four of the top five drivers for observed IDTEs were in the globalization and environment group. In the observational study, the globalization and environment group was related to all IDTE categories, but only to five of eight categories in the foresight study. Directly targeting these drivers with public health interventions may diminish the chances of IDTE occurrence from the outset. © 2016 New York Academy of Sciences.

  5. Born to roam? Surveying cat owners in Tasmania, Australia, to identify the drivers and barriers to cat containment.

    Science.gov (United States)

    McLeod, Lynette J; Hine, Donald W; Bengsen, Andrew J

    2015-12-01

    Free-roaming domestic cats, Felis catus, are a major public nuisance in neighbourhoods across the world, and have been linked to biodiversity loss and a host of community health problems. Owners who let their cats roam, also place their cats at risk of serious injury. One management strategy that is gaining considerable support involves encouraging cat owners to contain their pets within their property. Contemporary behaviour change models highlight the importance of identifying drivers and barriers that encourage and discourage target behaviours such as cat containment. Results from a random dial phone survey of 356 cat owners in northern Tasmania identified four distinct cat containment profiles: owners who contained their cat all the time, owners who only contained their cat at night, owners who sporadically contained their cat with no set routine, and owners who made no attempt to contain their pet. Our results indicated that cat-owners' decisions to contain or not contain their cats were guided by a range of factors including owners' beliefs about their ability to implement an effective containment strategy and their views about the physical and psychological needs of their cats. The results are discussed in terms of improving the behavioural effectiveness of cat containment interventions by selecting appropriate behavioural change tools for the identified drivers and barriers, and developing targeted engagement strategies and messaging. Copyright © 2015 Elsevier B.V. All rights reserved.

  6. Biofuels development and adoption in Nigeria: Synthesis of drivers, incentives and enablers

    International Nuclear Information System (INIS)

    Abila, Nelson

    2012-01-01

    Biofuels development and adoption in Nigeria has progressed significantly since the inception of the country's biofuel program in 2007. The rapid growth of the biofuels subsector in Nigeria inspired this review which aims at identifying the key drivers, agents, enablers, incentives and objectives driving the development. From the upstream to the downstream sub-sectors, there is an increasing entry of players and participants (private and public investors). This paper aims to explore the underlining drivers, enablers and incentives promoting the investments and participations in biofuels development, adoption and utilization in Nigeria. The research sourced data from basically secondary sources and undertook desk review of available information. The drivers identified are classified into the endogenous and exogenous categories. From the review, the paper presents a multi-components conceptual framework that captures key elements of the biofuel development in Nigeria. - Highlights: ► Delineate factors (drivers) promoting biofuels. ► Identify agents and their roles in incentivizing the biofuel development. ► Delineate incentives from enablers of biofuel development and adoption. ► Categorize objective motives of actors within the sustainability triangle. ► Propose a framework as a foundation for further research, policy analysis and intervention.

  7. Driver behavior in car-to-pedestrian incidents: An application of the Driving Reliability and Error Analysis Method (DREAM).

    Science.gov (United States)

    Habibovic, Azra; Tivesten, Emma; Uchida, Nobuyuki; Bärgman, Jonas; Ljung Aust, Mikael

    2013-01-01

    To develop relevant road safety countermeasures, it is necessary to first obtain an in-depth understanding of how and why safety-critical situations such as incidents, near-crashes, and crashes occur. Video-recordings from naturalistic driving studies provide detailed information on events and circumstances prior to such situations that is difficult to obtain from traditional crash investigations, at least when it comes to the observable driver behavior. This study analyzed causation in 90 video-recordings of car-to-pedestrian incidents captured by onboard cameras in a naturalistic driving study in Japan. The Driving Reliability and Error Analysis Method (DREAM) was modified and used to identify contributing factors and causation patterns in these incidents. Two main causation patterns were found. In intersections, drivers failed to recognize the presence of the conflict pedestrian due to visual obstructions and/or because their attention was allocated towards something other than the conflict pedestrian. In incidents away from intersections, this pattern reoccurred along with another pattern showing that pedestrians often behaved in unexpected ways. These patterns indicate that an interactive advanced driver assistance system (ADAS) able to redirect the driver's attention could have averted many of the intersection incidents, while autonomous systems may be needed away from intersections. Cooperative ADAS may be needed to address issues raised by visual obstructions. Copyright © 2012 Elsevier Ltd. All rights reserved.

  8. Inertial confinement fusion driver enhancements: Final focusing systems and compact heavy-ion driver designs

    International Nuclear Information System (INIS)

    Bieri, R.L.

    1991-01-01

    Required elements of an inertial confinement fusion power plant are modeled and discussed. A detailed analysis of two critical elements of candidate drivers is done, and new component designs are proposed to increase the credibility and feasibility of each driver system. An analysis of neutron damage to the final elements of a laser focusing system is presented, and multilayer -- dielectric mirrors are shown to have damage lifetimes which axe too short to be useful in a commercial power plant. A new final-focusing system using grazing incidence metal mirrors to protect sensitive laser optics is designed and shown to be effective in extending the lifetime of the final focusing system. The reflectivities and damage limits of grazing incidence metal mirrors are examined in detail, and the required mirror sizes are shown to be compatible with the beam sizes and illumination geometries currently envisioned for laser drivers. A detailed design and analysis is also done for compact arrays of superconducting magnetic quadrupoles, which are needed in a multi-beam heavy-ion driver. The new array model is developed in more detail than some previous conceptual designs and models arrays which are more compact than arrays scaled from existing single -- quadrupole designs. The improved integrated model for compact arrays is used to compare the effects of various quadrupole array design choices on the size and cost of a heavy-ion driver. Array design choices which significantly affect the cost of a heavy-ion driver include the choice of superconducting material and the thickness of the collar used to support the winding stresses. The effect of these array design choices on driver size and cost is examined and the array model is used to estimate driver cost savings and performance improvements attainable with aggressive quadrupole array designs with high-performance superconductors

  9. Assessing drivers' response during automated driver support system failures with non-driving tasks.

    Science.gov (United States)

    Shen, Sijun; Neyens, David M

    2017-06-01

    With the increase in automated driver support systems, drivers are shifting from operating their vehicles to supervising their automation. As a result, it is important to understand how drivers interact with these automated systems and evaluate their effect on driver responses to safety critical events. This study aimed to identify how drivers responded when experiencing a safety critical event in automated vehicles while also engaged in non-driving tasks. In total 48 participants were included in this driving simulator study with two levels of automated driving: (a) driving with no automation and (b) driving with adaptive cruise control (ACC) and lane keeping (LK) systems engaged; and also two levels of a non-driving task (a) watching a movie or (b) no non-driving task. In addition to driving performance measures, non-driving task performance and the mean glance duration for the non-driving task were compared between the two levels of automated driving. Drivers using the automated systems responded worse than those manually driving in terms of reaction time, lane departure duration, and maximum steering wheel angle to an induced lane departure event. These results also found that non-driving tasks further impaired driver responses to a safety critical event in the automated system condition. In the automated driving condition, driver responses to the safety critical events were slower, especially when engaged in a non-driving task. Traditional driver performance variables may not necessarily effectively and accurately evaluate driver responses to events when supervising autonomous vehicle systems. Thus, it is important to develop and use appropriate variables to quantify drivers' performance under these conditions. Copyright © 2017 Elsevier Ltd and National Safety Council. All rights reserved.

  10. [Sleep quality and occupational stress relationship analysis of 1413 train drivers in a railway bureau].

    Science.gov (United States)

    Gu, G Z; Yu, S F; Zhou, W H; Wu, H; Kang, L; Chen, R

    2017-07-20

    Objective: To investigate sleep quality status of train drivers. Methods: By using cluster sampling method, a cross-sectional study was conducted in 1413 train drivers (including passenger train drivers 301, freight train drivers 683, passenger shunting train drivers 350, and high speed train drivers 79) from a railway bureau. The occupational stressors, strains, personalities and sleep quality were measured using occupational stress instruments and effort-reward imbalance questionnaire. Results: The train drivers of poor sleep quality was 48.34%. Sleep quality scores among different among different job category (job title) , exercise, smoking and drinking were statistical significance ( P 0.05) . Correlation: analysis revealed that sleep quality score was related negatively to job satisfaction, reward, working stability, promotion opportunities, positive affectivity, esteem and self-esteem scores ( r : -0.454, -0.207, -0.329,-0.170, -0.291, -0.103, -0.139, P stress, negative affectivity, depressive symptoms scores ( r : 0.338, 0.524, 0.226, 0.094, 0.182, 0.210, 0.247, 0.190, 0.615, 0.550, 0.345, 0.570, P stress, depressive symptoms, responsibility for person, responsibility for thing, negative affectivity and coping scores than the group of lower sleep quality score ( P stress for drivers occured the risk of poor sleep quality were more than two times as high as that of drivers with less physiological needs, less effort, less depressive symptoms and less daily stress ( OR =2.905~2.005) . Conclusions Different types of locomotive drivers get different level of sleep quality. Sleep quality was affected by occupational stress largely. Reducing the occupational stress may contribute to improve the sleep quality of train drivers.

  11. [Influencing factors for job satisfaction in train drivers in a railway bureau: an analysis of 1413 cases].

    Science.gov (United States)

    Gu, G Z; Yu, S F; Zhou, W H; Wu, H; Kang, L; Chen, R

    2017-01-20

    Objective: To investigate the influencing factors for job satisfaction in train drivers. Methods: In March 2012, cluster sampling was used to conduct a cross-sectional survey in 1413 male train drivers (including 301 passenger train drivers, 683 freight train drivers, 350 passenger shunting train drivers, and 79 high-speed train drivers) from a locomotive depot of a railway bureau. The occupational stress instruments, job content questionnaire, and effort-reward imbalance questionnaire were used to analyze job satisfaction, occupational stress factors, stress reaction, individual characteristics, coping strategies, and social support. Results: There were significant differences in job satisfaction score between the drivers with different posts, working years, ages, smoking status, and drinking status ( P analysis revealed that job satisfaction score was positively correlated with reward, working stability, promotion opportunity, positive emotion, social support, self-esteem, and coping strategy scores ( P analysis of variance showed that compared with the moderate and low job satisfaction groups, the high job satisfaction group had significantly higher reward, positive emotion, promotion opportunity, and role ambiguity scores ( P job satisfaction groups the low job satisfaction group had significantly higher scores of psychological needs, effort, role conflict, sleep disorders, daily stress, depressive symptom, negative emotion, drug use, intragroup conflict, and social support ( P job satisfaction group had a significantly higher score of self-esteem than the other two groups ( P analysis showed that the risk of job dissatisfaction in the drivers with low so-cial support and high daily stress was more than 2 times that in those with high social support and low daily stress ( OR =2.176 and 2.171) , and sleep disorders, effort, depressive symptom, low self-esteem, and role conflict were risk factors for job dissatisfaction ( OR =1.48-1.625). Conclusion: Occupational

  12. Drivers anticipate lead-vehicle conflicts during automated longitudinal control: Sensory cues capture driver attention and promote appropriate and timely responses.

    Science.gov (United States)

    Morando, Alberto; Victor, Trent; Dozza, Marco

    2016-12-01

    Adaptive Cruise Control (ACC) has been shown to reduce the exposure to critical situations by maintaining a safe speed and headway. It has also been shown that drivers adapt their visual behavior in response to the driving task demand with ACC, anticipating an impending lead vehicle conflict by directing their eyes to the forward path before a situation becomes critical. The purpose of this paper is to identify the causes related to this anticipatory mechanism, by investigating drivers' visual behavior while driving with ACC when a potential critical situation is encountered, identified as a forward collision warning (FCW) onset (including false positive warnings). This paper discusses how sensory cues capture attention to the forward path in anticipation of the FCW onset. The analysis used the naturalistic database EuroFOT to examine visual behavior with respect to two manually-coded metrics, glance location and glance eccentricity, and then related the findings to vehicle data (such as speed, acceleration, and radar information). Three sensory cues (longitudinal deceleration, looming, and brake lights) were found to be relevant for capturing driver attention and increase glances to the forward path in anticipation of the threat; the deceleration cue seems to be dominant. The results also show that the FCW acts as an effective attention-orienting mechanism when no threat anticipation is present. These findings, relevant to the study of automation, provide additional information about drivers' response to potential lead-vehicle conflicts when longitudinal control is automated. Moreover, these results suggest that sensory cues are important for alerting drivers to an impending critical situation, allowing for a prompt reaction. Copyright © 2016 Elsevier Ltd. All rights reserved.

  13. Low back pain in drivers exposed to whole body vibration: analysis of a dose-response pattern

    NARCIS (Netherlands)

    Tiemessen, I. J. H.; Hulshof, C. T. J.; Frings-Dresen, M. H. W.

    2008-01-01

    Analysis of a dose-response pattern between exposure to whole body vibration (WBV) and low back pain (LBP) in a group of drivers. This study assessed individual factors, work-related risk factors, various LBP outcome measures and LBP disability in a group of drivers (n = 571) approached at baseline

  14. Analysis of effects of manhole covers on motorcycle driver maneuvers: a nonparametric classification tree approach.

    Science.gov (United States)

    Chang, Li-Yen

    2014-01-01

    A manhole cover is a removable plate forming the lid over the opening of a manhole to allow traffic to pass over the manhole and to prevent people from falling in. Because most manhole covers are placed in roadway traffic lanes, if these manhole covers are not appropriately installed or maintained, they can represent unexpected hazards on the road, especially for motorcycle drivers. The objective of this study is to identify the effects of manhole cover characteristics as well as driver factors and traffic and roadway conditions on motorcycle driver maneuvers. A video camera was used to record motorcycle drivers' maneuvers when they encountered an inappropriately installed or maintained manhole cover. Information on 3059 drivers' maneuver decisions was recorded. Classification and regression tree (CART) models were applied to explore factors that can significantly affect motorcycle driver maneuvers when passing a manhole cover. Nearly 50 percent of the motorcycle drivers decelerated or changed their driving path to reduce the effects of the manhole cover. The manhole cover characteristics including the level difference between manhole cover and pavement, the pavement condition over the manhole cover, and the size of the manhole cover can significantly affect motorcycle driver maneuvers. Other factors, including traffic conditions, lane width, motorcycle speed, and loading conditions, also have significant effects on motorcycle driver maneuvers. To reduce the effects and potential risks from the manhole covers, highway authorities not only need to make sure that any newly installed manhole covers are as level as possible but also need to regularly maintain all the manhole covers to ensure that they are in good condition. In the long run, the size of manhole covers should be kept as small as possible so that the impact of manhole covers on motorcycle drivers can be effectively reduced. Supplemental materials are available for this article. Go to the publisher

  15. Lifestyle and accidents among young drivers.

    Science.gov (United States)

    Gregersen, N P; Berg, H Y

    1994-06-01

    This study covers the lifestyle component of the problems related to young drivers' accident risk. The purpose of the study is to measure the relationship between lifestyle and accident risk, and to identify specific high-risk and low-risk groups. Lifestyle is measured through a questionnaire, where 20-year-olds describe themselves and how often they deal with a large number of different activities, like sports, music, movies, reading, cars and driving, political engagement, etc. They also report their involvement in traffic accidents. With a principal component analysis followed by a cluster analysis, lifestyle profiles are defined. These profiles are finally correlated to accidents, which makes it possible to define high-risk and low-risk groups. The cluster analysis defined 15 clusters including four high-risk groups with an average overrisk of 150% and two low-risk groups with an average underrisk of 75%. The results are discussed from two perspectives. The first is the importance of theoretical understanding of the contribution of lifestyle factors to young drivers' high accident risk. The second is how the findings could be used in practical road safety measures, like education, campaigns, etc.

  16. Sleep, Dietary, and Exercise Behavioral Clusters Among Truck Drivers With Obesity: Implications for Interventions.

    Science.gov (United States)

    Olson, Ryan; Thompson, Sharon V; Wipfli, Brad; Hanson, Ginger; Elliot, Diane L; Anger, W Kent; Bodner, Todd; Hammer, Leslie B; Hohn, Elliot; Perrin, Nancy A

    2016-03-01

    The objectives of the study were to describe a sample of truck drivers, identify clusters of drivers with similar patterns in behaviors affecting energy balance (sleep, diet, and exercise), and test for cluster differences in health safety, and psychosocial factors. Participants' (n = 452, body mass index M = 37.2, 86.4% male) self-reported behaviors were dichotomized prior to hierarchical cluster analysis, which identified groups with similar behavior covariation. Cluster differences were tested with generalized estimating equations. Five behavioral clusters were identified that differed significantly in age, smoking status, diabetes prevalence, lost work days, stress, and social support, but not in body mass index. Cluster 2, characterized by the best sleep quality, had significantly lower lost workdays and stress than other clusters. Weight management interventions for drivers should explicitly address sleep, and may be maximally effective after establishing socially supportive work environments that reduce stress exposures.

  17. Reliability of drivers in urban intersections.

    Science.gov (United States)

    Gstalter, Herbert; Fastenmeier, Wolfgang

    2010-01-01

    The concept of human reliability has been widely used in industrial settings by human factors experts to optimise the person-task fit. Reliability is estimated by the probability that a task will successfully be completed by personnel in a given stage of system operation. Human Reliability Analysis (HRA) is a technique used to calculate human error probabilities as the ratio of errors committed to the number of opportunities for that error. To transfer this notion to the measurement of car driver reliability the following components are necessary: a taxonomy of driving tasks, a definition of correct behaviour in each of these tasks, a list of errors as deviations from the correct actions and an adequate observation method to register errors and opportunities for these errors. Use of the SAFE-task analysis procedure recently made it possible to derive driver errors directly from the normative analysis of behavioural requirements. Driver reliability estimates could be used to compare groups of tasks (e.g. different types of intersections with their respective regulations) as well as groups of drivers' or individual drivers' aptitudes. This approach was tested in a field study with 62 drivers of different age groups. The subjects drove an instrumented car and had to complete an urban test route, the main features of which were 18 intersections representing six different driving tasks. The subjects were accompanied by two trained observers who recorded driver errors using standardized observation sheets. Results indicate that error indices often vary between both the age group of drivers and the type of driving task. The highest error indices occurred in the non-signalised intersection tasks and the roundabout, which exactly equals the corresponding ratings of task complexity from the SAFE analysis. A comparison of age groups clearly shows the disadvantage of older drivers, whose error indices in nearly all tasks are significantly higher than those of the other groups

  18. A social network analysis of alcohol-impaired drivers in Maryland : an egocentric approach.

    Science.gov (United States)

    2011-04-01

    This study examined the personal, household, and social structural attributes of alcoholimpaired : drivers in Maryland. The study used an egocentric approach of social network : analysis. This approach concentrated on specific actors (alcohol-impaire...

  19. Data and methods for studying commercial motor vehicle driver fatigue, highway safety and long-term driver health.

    Science.gov (United States)

    Stern, Hal S; Blower, Daniel; Cohen, Michael L; Czeisler, Charles A; Dinges, David F; Greenhouse, Joel B; Guo, Feng; Hanowski, Richard J; Hartenbaum, Natalie P; Krueger, Gerald P; Mallis, Melissa M; Pain, Richard F; Rizzo, Matthew; Sinha, Esha; Small, Dylan S; Stuart, Elizabeth A; Wegman, David H

    2018-03-09

    This article summarizes the recommendations on data and methodology issues for studying commercial motor vehicle driver fatigue of a National Academies of Sciences, Engineering, and Medicine study. A framework is provided that identifies the various factors affecting driver fatigue and relating driver fatigue to crash risk and long-term driver health. The relevant factors include characteristics of the driver, vehicle, carrier and environment. Limitations of existing data are considered and potential sources of additional data described. Statistical methods that can be used to improve understanding of the relevant relationships from observational data are also described. The recommendations for enhanced data collection and the use of modern statistical methods for causal inference have the potential to enhance our understanding of the relationship of fatigue to highway safety and to long-term driver health. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

  20. Factors affecting driver alertness during the operation of haul trucks in the South African mining industry

    CSIR Research Space (South Africa)

    Schutte, PC

    2003-06-01

    Full Text Available In view of the seriousness of haul trucks accidents, SIMRAC initiated research to identify factors affecting haul truck driver alertness during mining operations. The information obtained during the risk analysis was used to identify possible...

  1. Identifying beliefs underlying pre-drivers' intentions to take risks: An application of the Theory of Planned Behaviour.

    Science.gov (United States)

    Rowe, Richard; Andrews, Elizabeth; Harris, Peter R; Armitage, Christopher J; McKenna, Frank P; Norman, Paul

    2016-04-01

    Novice motorists are at high crash risk during the first few months of driving. Risky behaviours such as speeding and driving while distracted are well-documented contributors to crash risk during this period. To reduce this public health burden, effective road safety interventions need to target the pre-driving period. We use the Theory of Planned Behaviour (TPB) to identify the pre-driver beliefs underlying intentions to drive over the speed limit (N=77), and while over the legal alcohol limit (N=72), talking on a hand-held mobile phone (N=77) and feeling very tired (N=68). The TPB explained between 41% and 69% of the variance in intentions to perform these behaviours. Attitudes were strong predictors of intentions for all behaviours. Subjective norms and perceived behavioural control were significant, though weaker, independent predictors of speeding and mobile phone use. Behavioural beliefs underlying these attitudes could be separated into those reflecting perceived disadvantages (e.g., speeding increases my risk of crash) and advantages (e.g., speeding gives me a thrill). Interventions that can make these beliefs safer in pre-drivers may reduce crash risk once independent driving has begun. Copyright © 2015 Elsevier Ltd. All rights reserved.

  2. Is a driver's license age waiver worth a teen's life?

    Science.gov (United States)

    Porter, Dawn M; Miller, Beverly K; Mullins, Samantha H; Porter, Mary E; Aitken, Mary E

    2018-04-10

    Motor vehicle crashes are the leading cause of death for teens 14-19 years of age, with younger teen drivers at higher risk than older teens. Graduated driver licensing has been proven to reduce teen driver-related motor vehicle crashes and fatalities. Arkansas allows parents to request age waivers, which allow a teen to obtain a license for independent driving before the sixteenth birthday. The objectives of this study were to: (1) determine the prevalence of age waivers issued in Arkansas and (2) determine motor vehicle crash risks associated with 14 and 15 year old drivers. This is a brief report on an informative query exploring risk factors related to age waivers. Publicly available databases were utilized for across state comparisons. The Web-based Injury Statistics Query and Reporting Systems (WISQARS) was utilized to calculate motor vehicle crash crude death rates. National Highway Traffic Safety Administration data were utilized to identify seat belt use rates. The Fatal Analysis Reporting System (FARS) was utilized to identify crash fatality risks for 14 and 15 year old drivers in Arkansas (N = 24). Age waiver data were obtained from the Arkansas Driver Control Administration. De-identified data on fatal crashes and rates of age waiver issuance in Arkansas for 14 and 15 year olds from 2004 through 2016 were calculated. We reviewed crash data for 14 and 15 year old drivers in Arkansas between 2004 and 2014 to determine fatality risks. Thirty-one out of seventy-five counties in Arkansas were above the state age waiver issuance rate of 30.4 per 1000 14 to 15 year old teens. Among the four states that had similar age waivers for 14 to 15 year olds, Arkansas had the highest motor vehicle death rate of 10.2 per 100,000 young teens and the lowest seat belt use rate at 73%. Arkansas had the highest reported teen crash fatality rates among 4 states with age waivers. The volume of age waivers issued in Arkansas is concerning. Further research is needed

  3. Key drivers of airline loyalty.

    Science.gov (United States)

    Dolnicar, Sara; Grabler, Klaus; Grün, Bettina; Kulnig, Anna

    2011-10-01

    This study investigates drivers of airline loyalty. It contributes to the body of knowledge in the area by investigating loyalty for a number of a priori market segments identified by airline management and by using a method which accounts for the multi-step nature of the airline choice process. The study is based on responses from 687 passengers. Results indicate that, at aggregate level, frequent flyer membership, price, the status of being a national carrier and the reputation of the airline as perceived by friends are the variables which best discriminate between travellers loyal to the airline and those who are not. Differences in drivers of airline loyalty for a number of segments were identified. For example, loyalty programs play a key role for business travellers whereas airline loyalty of leisure travellers is difficult to trace back to single factors. For none of the calculated models satisfaction emerged as a key driver of airline loyalty.

  4. Exploratory multinomial logit model-based driver injury severity analyses for teenage and adult drivers in intersection-related crashes.

    Science.gov (United States)

    Wu, Qiong; Zhang, Guohui; Ci, Yusheng; Wu, Lina; Tarefder, Rafiqul A; Alcántara, Adélamar Dely

    2016-05-18

    Teenage drivers are more likely to be involved in severely incapacitating and fatal crashes compared to adult drivers. Moreover, because two thirds of urban vehicle miles traveled are on signal-controlled roadways, significant research efforts are needed to investigate intersection-related teenage driver injury severities and their contributing factors in terms of driver behavior, vehicle-infrastructure interactions, environmental characteristics, roadway geometric features, and traffic compositions. Therefore, this study aims to explore the characteristic differences between teenage and adult drivers in intersection-related crashes, identify the significant contributing attributes, and analyze their impacts on driver injury severities. Using crash data collected in New Mexico from 2010 to 2011, 2 multinomial logit regression models were developed to analyze injury severities for teenage and adult drivers, respectively. Elasticity analyses and transferability tests were conducted to better understand the quantitative impacts of these factors and the teenage driver injury severity model's generality. The results showed that although many of the same contributing factors were found to be significant in the both teenage and adult driver models, certain different attributes must be distinguished to specifically develop effective safety solutions for the 2 driver groups. The research findings are helpful to better understand teenage crash uniqueness and develop cost-effective solutions to reduce intersection-related teenage injury severities and facilitate driver injury mitigation research.

  5. A systematic review on drivers, barriers, and practices towards circular economy

    DEFF Research Database (Denmark)

    Govindan, Kannan; Hasanagic, Mia

    2018-01-01

    identified that emerge from the application of a circular economy, no concrete studies exist that investigate current state-of-the-art drivers, barriers and practices in this relevant field. An in-depth exploration of current practices would enhance the circular economy’s significance and would help...... understand its present level of implementation. With this concern, this study provides an analysis of the drivers, barriers and practices that influence the implementation of the circular economy in the context of supply chains through a systematic review. In order to analyse the circular economy’s level...... of implementation, we correlate stakeholders’ perspectives with drivers, barriers, and practices; thus, a multi-perspective framework is proposed. From the results, it is evident that among various stakeholders, the governmental perspective has the maximum positive impact on the implementation of the circular...

  6. Revealing the underlying drivers of disaster risk: a global analysis

    Science.gov (United States)

    Peduzzi, Pascal

    2017-04-01

    Disasters events are perfect examples of compound events. Disaster risk lies at the intersection of several independent components such as hazard, exposure and vulnerability. Understanding the weight of each component requires extensive standardisation. Here, I show how footprints of past disastrous events were generated using GIS modelling techniques and used for extracting population and economic exposures based on distribution models. Using past event losses, it was possible to identify and quantify a wide range of socio-politico-economic drivers associated with human vulnerability. The analysis was applied to about nine thousand individual past disastrous events covering earthquakes, floods and tropical cyclones. Using a multiple regression analysis on these individual events it was possible to quantify each risk component and assess how vulnerability is influenced by various hazard intensities. The results show that hazard intensity, exposure, poverty, governance as well as other underlying factors (e.g. remoteness) can explain the magnitude of past disasters. Analysis was also performed to highlight the role of future trends in population and climate change and how this may impacts exposure to tropical cyclones in the future. GIS models combined with statistical multiple regression analysis provided a powerful methodology to identify, quantify and model disaster risk taking into account its various components. The same methodology can be applied to various types of risk at local to global scale. This method was applied and developed for the Global Risk Analysis of the Global Assessment Report on Disaster Risk Reduction (GAR). It was first applied on mortality risk in GAR 2009 and GAR 2011. New models ranging from global assets exposure and global flood hazard models were also recently developed to improve the resolution of the risk analysis and applied through CAPRA software to provide probabilistic economic risk assessments such as Average Annual Losses (AAL

  7. Driver's anger state identification by using facial expression in ...

    African Journals Online (AJOL)

    Preventive safety system of vehicle is highlighted to reduce the number of traffic accidents. Driver's state adaptive driving safety system may be one of candidates of the safety system. Identifying driver's psychosomatic states is indispensable to establish those safety systems. Anger of driver state is often seen in traffic ...

  8. [Social support and occupational stress relationship analysis of 1 413 train drivers in a railway bureau].

    Science.gov (United States)

    Gu, G Z; Yu, S F; Zhou, W H; Wu, H; Kang, L; Chen, R

    2017-02-06

    Objective: To investigate the social support status of train drivers. Methods: Using cluster sampling, a cross-sectional study was conducted in 1 413 male train drivers (including 301 passenger train drivers, 683 freight train drivers, 85 guest scheduling train drivers, 265 cargo adjustable drivers, and 79 high-speed train drivers) from a railway bureau depot. The survey included individual factors, social support, occupational stressors, strains, personalities, and coping strategy using occupational stress instruments and effort-reward imbalance questionnaire. We compared the difference in social support scores between different drivers, who were divided according to job type and age. Additionally, the correlation between social support score and job strain-related factors was analyzed. The influence of depressive symptoms and job satisfaction were analyzed using a non-conditional logistic multivariate model. Results: The overall average age P (50) ( P (25), P (75)) of 1 413 train drivers was 33.92 (27.83,43.58) years. The overall average length of service 12.25 (5.25,22.75) years. A significant difference in social support scores was observed according to job type ( H =23.23, P40 years (27 (22,31)). Correlation analysis revealed that the social support score was negatively associated with job satisfaction ( r=- 0.43), reward ( r=- 0.22), working stability ( r=- 0.23), promotion opportunities ( r=- 0.12), positive affectivity ( r=- 0.31), esteem ( r=- 0.21), and self-esteem ( r=- 0.20) scores ( Pstress ( r= 0.29), negative affectivity ( r= 0.23), and depressive symptoms ( r= 0.44) scores ( Poccupational stress. High social support was related to reduction in the occurrence of occupational stress, depressive symptoms, and low job satisfaction. Social support is related to mental health of train drivers.

  9. Perturbation and Stability Analysis of the Multi-Anticipative Intelligent Driver Model

    Science.gov (United States)

    Chen, Xi-Qun; Xie, Wei-Jun; Shi, Jing; Shi, Qi-Xin

    This paper discusses three kinds of IDM car-following models that consider both the multi-anticipative behaviors and the reaction delays of drivers. Here, the multi-anticipation comes from two ways: (1) the driver is capable of evaluating the dynamics of several preceding vehicles, and (2) the autonomous vehicles can obtain the velocity and distance information of several preceding vehicles via inter-vehicle communications. In this paper, we study the stability of homogeneous traffic flow. The linear stability analysis indicates that the stable region will generally be enlarged by the multi-anticipative behaviors and reduced by the reaction delays. The temporal amplification and the spatial divergence of velocities for local perturbation are also studied, where the results further prove this conclusion. Simulation results also show that the multi-anticipative behaviors near the bottleneck will lead to a quicker backwards propagation of oscillations.

  10. Lower back pain and absenteeism among professional public transport drivers.

    Science.gov (United States)

    Kresal, Friderika; Roblek, Vasja; Jerman, Andrej; Meško, Maja

    2015-01-01

    Drivers in public transport are subjected to lower back pain. The reason for the pain is associated with the characteristics of the physical position imposed on the worker while performing the job. Lower back pain is the main cause of absenteeism among drivers. The present study includes 145 public transport drivers employed as professional drivers for an average of 14.14 years. Analysis of the data obtained in the study includes the basic descriptive statistics, χ(2) test and multiple regression analysis. Analysis of the incidence of lower back pain showed that the majority of our sample population suffered from pain in the lower back. We found that there are no statistically significant differences between the groups formed by the length of service as a professional driver and incidence of lower back pain; we were also interested in whether or not the risk factors of lower back pain affects the absenteeism of city bus drivers. Analysis of the data has shown that the risk factors of pain in the lower part of the spine do affect the absenteeism of city bus drivers.

  11. Factors Affecting Accidents Risks among Truck Drivers In Egypt

    Directory of Open Access Journals (Sweden)

    Elshamly Ahmed Fathalla

    2017-01-01

    Full Text Available Egypt is ranked among the countries with the highest rates of road accidents. According to the American Chamber of Commerce more than 96% of Egypt's goods are transported by trucks and due to their large volume and excessive weight, the severity and number of truck accident fatalities are much higher than other vehicles in Egypt. The present study aims at identifying truck driver's behavior and its influence on crash involvement. Due to the shortage in recording accident data and the inaccurate road accident audit, data was collected from several governorates in Egypt through questionnaire. Questionnaire forms were filled out through personal interviews with truck drivers. The total number of respondents was 643. The final analysis was made on the 615 questionnaires with complete answers. The data was analyzed and logistic regression was applied to accident related data to examine the contributing factors affecting accident occurrence of truck drivers. Results showed that fatigue in terms of driving hours (continuous and total and lack of sleep, drug use during driving, and driver obesity are the most influencing factors on the occurrence of truck accidents in Egypt. The findings of this research highlight the important role human factors have on the risk of crash involvement amongst Egypt's truck drivers and the need to improve their work conditions.

  12. Truck Drivers And Risk Of STDs Including HIV

    Directory of Open Access Journals (Sweden)

    Bansal R.K

    1995-01-01

    Full Text Available Research Question: Whether long distance truck drivers are at a higher risk of contracting and transmitting STDs including HIV? Objectives: i To study the degree of knowledge of HIV and AIDS among long- distance truck drivers. ii Assess their sexual behaviour including condom use. iii Explore their prevailing social influences and substance abuse patterns. iv Explore their treatment seeking bahaviour as regards STDs. v Deduce their risk of contracting and transmitting STDs including HIV. Study Design: Cross- sectional interview. Setting: Transport Nagar, Indore (M.P Participants: 210 senior drivers (First drivers and 210 junior drivers (Second drivers. Study Variables: Extra-Marital sexual intercourse, condom usage, past and present history of STDs, treatment and counseling, substance abuse, social â€" cultural milieu. Outcome Variables: Risk of contraction of STDs. Statistical Analysis: Univariate analysis. Results: 94% of the drivers were totally ignorant about AIDS. 82.9% and 43.8 % of the senior and junior drivers had a history of extra- marital sex and of these only 2 regularly used condoms. 13.8% and 3.3 % of the senior and junior drivers had a past or present history suggestive of STD infection. Alcohol and Opium were regularly used by them. Conclusion: The studied drivers are at a high risk of contracting and transmitting STDs including HIV.

  13. Dominant role of drivers' attitude in prevention of road traffic crashes: a study on knowledge, attitude, and practice of drivers in Iran.

    Science.gov (United States)

    Mirzaei, Ramazan; Hafezi-Nejad, Nima; Sadegh Sabagh, Mohammad; Ansari Moghaddam, Alireza; Eslami, Vahid; Rakhshani, Fatemeh; Rahimi-Movaghar, Vafa

    2014-05-01

    Evaluating the relation between Iranian drivers' knowledge, attitude, and practice (KAP) regarding traffic regulations, and their deterministic effect on road traffic crashes (RTCs). Two cities of Tehran and Zahedan, Iran. A cross-sectional study was designed. Using a simplified cluster sampling design, 2200 motor vehicle drivers including 1200 in Tehran and 1000 in Zahedan were selected. Sixty locations in Tehran and 50 in Zahedan were chosen. In each pre-identified location, 20 adult drivers were approached consecutively. A questionnaire developed by researchers was filled by each participant. The questionnaire had four sections including items assessing the demographics, knowledge, attitude and practice of drivers toward traffic regulations. Logistic regression analysis was used to evaluate the relationship between the RTCs and KAP variables. The study sample consisted of 619 (28.1%) occupational and 1580 (71.8%) private drivers. Among them, 86.4% were male. The median age was 33.6 ± 10.83. Drivers in Tehran and Zahedan had no significant differences between their mean scores of KAP items of the questionnaire. Higher knowledge, safer attitude, and safer practice were associated with a decreased number of RTC. After adjusting for possible confounders, increase of one standard deviation in attitude and practice scores (but not knowledge) resulted in 26.4% and 18.5% decrease in RTC, respectively. Finally, considering knowledge, attitude and practice of drivers in one model to assess their mutual effect, it was shown that only attitude is significantly associated with a decrease of RTC (OR=0.76, P=0.007). Increase in attitude and practice accompanied with decreased number of RTCs in Iranian drivers. Specifically, drivers' attitude had the crucial effect. It is not knowledge and standard traffic education; rather it is how such education is registered as an attitude that translates what is being learned into actions. Without safer attitude, even safer self

  14. Prevalence and factors associated with road traffic crash among taxi drivers in Hanoi, Vietnam.

    Science.gov (United States)

    La, Quang Ngoc; Lee, Andy H; Meuleners, Lynn B; Van Duong, Dat

    2013-01-01

    Injury due to road traffic crash is a major cause of ill health and premature deaths in developing countries. Taxis provide a main mode of public transport in Vietnam but there has been little research on the risk of crash for taxi drivers. This retrospective study collected information on taxi crashes for the period 2006-2009 by interviewing drivers from five taxi companies in Hanoi, Vietnam, using a structured questionnaire. Of the total 1214 participants recruited, 276 drivers reported at least one crash, giving an overall crash prevalence of 22.7%. Among the crashed group, 50 drivers (18.1%) were involved in two to four crashes. Logistic regression analysis further identified age of driver, type of driving licence, employment status, perceived sufficiency of income, seat-belt usage, and traffic infringement history to be significantly associated with the crash risk. Further prospective and qualitative studies are recommended to provide detailed crash characteristics as well as behaviour and perception of taxi drivers, so that an effective intervention can be developed to improve road safety and to prevent injury of these commercial drivers. Copyright © 2012 Elsevier Ltd. All rights reserved.

  15. Probabilistic safety analysis about the radiation risk for the driver in a fast-scan container/vehicle inspection system

    International Nuclear Information System (INIS)

    Li Junli; Zhu Guoping; Ming Shenjin; Cao Yanfeng

    2008-01-01

    A new Container/Vehicle Inspection System called fast-scan inspection system has been developed and used in some countries, which has a special advantage in scanning efficiency of 200 - 400 containers per hour. However, for its unique scanning mode, the fast-scan inspection system causes some worries about the radiation risk for the truck drivers, who will drive the container truck to pass through the scanning tunnel and might be exposed by the radiation beam in accidents. A PSA analysis, which has been widely used to evaluate the safety of nuclear power plant in the past, is presented here to estimate the probability of accidental exposure to the driver and evaluate the health risk. The fault tree and event tree analysis show that the probability of accidental exposure to the driver is pretty low and the main failure contributions are human errors and scanning control devices failures, which provides some recommendations for the further improvement about this product. Furthermore, on the basic of ICRP No.60 and 76 reports, the health risk to the truck driver is only about 4.0x10 -14 /a. Compared with the exempt level of 5x10 -7 /a, it can be concluded that the fast-scan system is safe enough for the truck driver. (author)

  16. Factors associated with civilian drivers involved in crashes with emergency vehicles.

    Science.gov (United States)

    Drucker, Christopher; Gerberich, Susan G; Manser, Michael P; Alexander, Bruce H; Church, Timothy R; Ryan, Andrew D; Becic, Ensar

    2013-06-01

    Motor vehicle crashes involving civilian and emergency vehicles (EVs) have been a known problem that contributes to fatal and nonfatal injuries; however, characteristics associated with civilian drivers have not been examined adequately. This study used data from The National Highway Traffic Safety Administration's Fatality Analysis Reporting System and the National Automotive Sampling System General Estimates System to identify driver, roadway, environmental, and crash factors, and consequences for civilian drivers involved in fatal and nonfatal crashes with in-use and in-transport EVs. In general, drivers involved in emergency-civilian crashes (ECCs) were more often driving: straight through intersections (vs. same direction) of four-points or more (vs. not at intersection); where traffic signals were present (vs. no traffic control device); and at night (vs. midday). For nonfatal ECCs, drivers were more often driving: distracted (vs. not distracted); with vision obstructed by external objects (vs. no obstruction); on dark but lighted roads (vs. daylight); and in opposite directions (vs. same directions) of the EVs. Consequences included increased risk of injury (vs. no injury) and receiving traffic violations (vs. no violation). Fatal ECCs were associated with driving on urban roads (vs. rural), although these types of crashes were less likely to occur on dark roads (vs. daylight). The findings of this study suggest drivers may have difficulties in visually detecting EVs in different environments. Copyright © 2013 Elsevier Ltd. All rights reserved.

  17. Cooperative advanced Driver assistance Systems - Technological measures for data privacy compliance

    OpenAIRE

    Jäger, Hubert; Schnieder, Lars

    2016-01-01

    Cooperative advanced driver assistance systems (ADAS) will contribute to road traffic safety: Critical situations will be detected, the driver alerted and control of the vehicle interfered with automatically. However, the introduction of such driver assistance systems presupposes that data privacy issues have already been solved in advance. A necessary condition for the driver to accept and trust new Driver assistance systems is that his/her personal and personally identifiable data will be t...

  18. Physics at an upgraded Fermilab proton driver

    Energy Technology Data Exchange (ETDEWEB)

    Geer, S.; /Fermilab

    2005-07-01

    In 2004 the Fermilab Long Range Planning Committee identified a new high intensity Proton Driver as an attractive option for the future, primarily motivated by the recent exciting developments in neutrino physics. Over the last few months a physics study has developed the physics case for the Fermilab Proton Driver. The potential physics opportunities are discussed.

  19. Smart driver monitoring : when signal processing meets human factors : in the driver's seat

    NARCIS (Netherlands)

    Aghaei, A.S.; Donmez, B.; Liu, C.C.; He, D.; Liu, G.; Plataniotis, K.N.; Chen, H.Y.W.; Sojoudi, Z.

    2016-01-01

    This article provides an interdisciplinary perspective on driver monitoring systems by discussing state-of-the-art signal processing solutions in the context of road safety issues identified in human factors research. Recently, the human factors community has made significant progress in

  20. Older driver fitness-to-drive evaluation using naturalistic driving data.

    Science.gov (United States)

    Guo, Feng; Fang, Youjia; Antin, Jonathan F

    2015-09-01

    As our driving population continues to age, it is becoming increasingly important to find a small set of easily administered fitness metrics that can meaningfully and reliably identify at-risk seniors requiring more in-depth evaluation of their driving skills and weaknesses. Sixty driver assessment metrics related to fitness-to-drive were examined for 20 seniors who were followed for a year using the naturalistic driving paradigm. Principal component analysis and negative binomial regression modeling approaches were used to develop parsimonious models relating the most highly predictive of the driver assessment metrics to the safety-related outcomes observed in the naturalistic driving data. This study provides important confirmation using naturalistic driving methods of the relationship between contrast sensitivity and crash-related events. The results of this study provide crucial information on the continuing journey to identify metrics and protocols that could be applied to determine seniors' fitness to drive. Published by Elsevier Ltd.

  1. Research data management and libraries: relationships, activities, drivers and influences.

    Directory of Open Access Journals (Sweden)

    Stephen Pinfield

    Full Text Available The management of research data is now a major challenge for research organisations. Vast quantities of born-digital data are being produced in a wide variety of forms at a rapid rate in universities. This paper analyses the contribution of academic libraries to research data management (RDM in the wider institutional context. In particular it: examines the roles and relationships involved in RDM, identifies the main components of an RDM programme, evaluates the major drivers for RDM activities, and analyses the key factors influencing the shape of RDM developments. The study is written from the perspective of library professionals, analysing data from 26 semi-structured interviews of library staff from different UK institutions. This is an early qualitative contribution to the topic complementing existing quantitative and case study approaches. Results show that although libraries are playing a significant role in RDM, there is uncertainty and variation in the relationship with other stakeholders such as IT services and research support offices. Current emphases in RDM programmes are on developments of policies and guidelines, with some early work on technology infrastructures and support services. Drivers for developments include storage, security, quality, compliance, preservation, and sharing with libraries associated most closely with the last three. The paper also highlights a 'jurisdictional' driver in which libraries are claiming a role in this space. A wide range of factors, including governance, resourcing and skills, are identified as influencing ongoing developments. From the analysis, a model is constructed designed to capture the main aspects of an institutional RDM programme. This model helps to clarify the different issues involved in RDM, identifying layers of activity, multiple stakeholders and drivers, and a large number of factors influencing the implementation of any initiative. Institutions may usefully benchmark their

  2. Research data management and libraries: relationships, activities, drivers and influences.

    Science.gov (United States)

    Pinfield, Stephen; Cox, Andrew M; Smith, Jen

    2014-01-01

    The management of research data is now a major challenge for research organisations. Vast quantities of born-digital data are being produced in a wide variety of forms at a rapid rate in universities. This paper analyses the contribution of academic libraries to research data management (RDM) in the wider institutional context. In particular it: examines the roles and relationships involved in RDM, identifies the main components of an RDM programme, evaluates the major drivers for RDM activities, and analyses the key factors influencing the shape of RDM developments. The study is written from the perspective of library professionals, analysing data from 26 semi-structured interviews of library staff from different UK institutions. This is an early qualitative contribution to the topic complementing existing quantitative and case study approaches. Results show that although libraries are playing a significant role in RDM, there is uncertainty and variation in the relationship with other stakeholders such as IT services and research support offices. Current emphases in RDM programmes are on developments of policies and guidelines, with some early work on technology infrastructures and support services. Drivers for developments include storage, security, quality, compliance, preservation, and sharing with libraries associated most closely with the last three. The paper also highlights a 'jurisdictional' driver in which libraries are claiming a role in this space. A wide range of factors, including governance, resourcing and skills, are identified as influencing ongoing developments. From the analysis, a model is constructed designed to capture the main aspects of an institutional RDM programme. This model helps to clarify the different issues involved in RDM, identifying layers of activity, multiple stakeholders and drivers, and a large number of factors influencing the implementation of any initiative. Institutions may usefully benchmark their activities against the

  3. Drivers of atmospheric evaporative demand during African droughts

    Science.gov (United States)

    Blakeley, S. L.; Harrison, L.; Hobbins, M.; Dewes, C.; Funk, C. C.; Shukla, S.; Husak, G. J.

    2017-12-01

    Seeking to advance the practice of famine early warning across sub-Saharan Africa we illuminate past drivers of high-impact droughts to gain a better understanding of the evaporative processes involved in drought dynamics. Atmospheric evaporative demand (ETo) is often used to estimate plant water balance and drought impacts to vegetation, and previously demonstrated linkages between precipitation, temperature, and ETo need to be better understood. This work is timely as new data streams will enable near-real-time monitoring of ETo and incorporation of ETo forecasts into seasonal outlooks for African growing seasons. For historical droughts during major growing seasons in sub-Saharan Africa, we evaluate ETo and identify main drivers for drought cases-identified based on below-normal precipitation during the wettest three months of the growing season-and contrast these with the ETo drivers that dominate in wetter years (we also consider droughts triggered by above normal ETo). Our focus is on regions of Africa where adequate precipitation is important for productive agriculture and pastoral activities and where evaporative demand might exacerbate moisture limitations. It is expected that important ETo drivers are partly connected with precipitation-related processes but that there are variations between regions and events. The goal here is to provide a generalized understanding of what aspects of evaporative demand historically have posed an additional hazard to plant stress and how precipitation outcomes are responsible for the ETo drivers. In addition, we explore whether there have been discernible changes through time in regard to ETo drivers during below-normal precipitation seasons. Upper and lower terciles of CHIRPS precipitation are used to identify anomalous dry and wet cases. The ETo dataset spans the 1980-near present period and is calculated following ASCE's formulation of Penman-Monteith method driven by daily temperature, humidity, wind speed, and solar

  4. Individual and combined effects of multiple global change drivers on terrestrial phosphorus pools: A meta-analysis.

    Science.gov (United States)

    Yue, Kai; Yang, Wanqin; Peng, Yan; Peng, Changhui; Tan, Bo; Xu, Zhenfeng; Zhang, Li; Ni, Xiangyin; Zhou, Wei; Wu, Fuzhong

    2018-07-15

    Human activity-induced global change drivers have dramatically changed terrestrial phosphorus (P) dynamics. However, our understanding of the interactive effects of multiple global change drivers on terrestrial P pools remains elusive, limiting their incorporation into ecological and biogeochemical models. We conducted a meta-analysis using 1751 observations extracted from 283 published articles to evaluate the individual, combined, and interactive effects of elevated CO 2 , warming, N addition, P addition, increased rainfall, and drought on P pools of plant (at both single-plant and plant-community levels), soil and microbial biomass. Our results suggested that (1) terrestrial P pools showed the most sensitive responses to the individual effects of warming and P addition; (2) P pools were consistently stimulated by P addition alone or in combination with simultaneous N addition; (3) environmental and experimental setting factors such as ecosystem type, climate, and latitude could significantly influence both the individual and combined effects; and (4) the interactive effects of two-driver pairs across multiple global change drivers are more likely to be additive rather than synergistic or antagonistic. Our findings highlighting the importance of additive interactive effects among multiple global change drivers on terrestrial P pools would be useful for incorporating P as controls on ecological processes such as photosynthesis and plant growth into ecosystem models used to analyze effects of multiple drivers under future global change. Copyright © 2018 Elsevier B.V. All rights reserved.

  5. The Candidate Cancer Gene Database: a database of cancer driver genes from forward genetic screens in mice.

    Science.gov (United States)

    Abbott, Kenneth L; Nyre, Erik T; Abrahante, Juan; Ho, Yen-Yi; Isaksson Vogel, Rachel; Starr, Timothy K

    2015-01-01

    Identification of cancer driver gene mutations is crucial for advancing cancer therapeutics. Due to the overwhelming number of passenger mutations in the human tumor genome, it is difficult to pinpoint causative driver genes. Using transposon mutagenesis in mice many laboratories have conducted forward genetic screens and identified thousands of candidate driver genes that are highly relevant to human cancer. Unfortunately, this information is difficult to access and utilize because it is scattered across multiple publications using different mouse genome builds and strength metrics. To improve access to these findings and facilitate meta-analyses, we developed the Candidate Cancer Gene Database (CCGD, http://ccgd-starrlab.oit.umn.edu/). The CCGD is a manually curated database containing a unified description of all identified candidate driver genes and the genomic location of transposon common insertion sites (CISs) from all currently published transposon-based screens. To demonstrate relevance to human cancer, we performed a modified gene set enrichment analysis using KEGG pathways and show that human cancer pathways are highly enriched in the database. We also used hierarchical clustering to identify pathways enriched in blood cancers compared to solid cancers. The CCGD is a novel resource available to scientists interested in the identification of genetic drivers of cancer. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

  6. Development and application of a new tool in driver task analysis; Entwicklung und Anwendung einer neuen Methodik zur Fahreraufgabenanalyse

    Energy Technology Data Exchange (ETDEWEB)

    Fastenmeier, W.; Gstalter, H. [mensch-verkehr-umwelt Institut fuer Angewandte Psychologie, Muenchen (Germany)

    2003-07-01

    A framework for driver task analysis is derived from a model of the drivers information processing. The first step of the procedure (SAFE) is to divide a given driving task (e.g. left turning in a signalised intersection of a certain type) into subtasks. These subtasks are appointed to defined stretches of the road and the time structure of the subtasks is determined. For each subtask an analysis format is used, that organizes different requirements into perception, expectation, judgement, memory, decision and driver action. In a next step, typical driver errors are appointed to the subtasks. Afterwards the information gathered in the analysis procedure is compressed to ratings of the complexity and risk included in each subtask. After the crucial subtasks of a driving task have been determined, a list of those requirements that led to that rating can be compiled. These lists give the potential for aiding the driver e.g. by use of driver assistance systems. (orig.) [German] In den Verkehrswissenschaften existieren bislang keine verkehrsspezifischen Standardverfahren, die eine Anforderungsanalyse auf der Ebene der Fahraufgaben erlauben. Dieser Beitrag stellt die Grundzuege eines Verfahrens zur Fahraufgabenanalyse dar (SAFE: Situative Anforderungsanalyse von Fahraufgaben). Es basiert auf einer Modellvorstellung zu den Informationsverarbeitungsprozessen, die waehrend der Bewaeltigung der Fahraufgabe eine Rolle spielen. Der erste Schritt der Aufgabenanalyse besteht darin, eine ausgewaehlte Fahraufgabe (z.B. Linksabbiegen in einer ampelgeregelten Kreuzung bestimmten Typs) in Teilaufgaben zu zerlegen und eine zeitliche Strukturierung dieser Teilaufgaben vorzunehmen. Diese werden raeumlichen Segmenten zugeordnet, die nacheinander durchfahren werden muessen. Fuer jede Teilaufgabe erfolgt dann die eigentliche Anforderungsanalyse, die nach den Kapiteln Wahrnehmung, Erwartungsbildung, Beurteilung, Gedaechtnisprozesse, Entscheidung/Planung sowie Fahrzeugbedienung mit jeweils

  7. Analysis of factors associated with injury severity in crashes involving young New Zealand drivers

    DEFF Research Database (Denmark)

    Weiss, Harold B.; Kaplan, Sigal; Prato, Carlo Giacomo

    2014-01-01

    measures within youth-oriented road safety programs. The current study estimates discrete choice models of injury severity of crashes involving young drivers conditional on these crashes having occurred. The analysis examined a comprehensive set of single-vehicle and two-vehicle crashes involving at least...

  8. Aging baby boomers--a blessing or challenge for driver licensing authorities.

    Science.gov (United States)

    Dobbs, Bonnie M

    2008-08-01

    In less than 5 years, the first wave of baby boomers will begin turning 65, with the last wave of boomers entering their senior years in January 2029. Currently, boomers make up a significant percentage of the population in Canada, the United States, and other developed countries. The baby boom generation has had a profound impact on our society over the last six decades, and this large cohort will continue to exert its influence for several decades to come. Central to this article is the rapid growth in the number of persons 65 years of age and older, beginning in 2011, with a corresponding increase in the number of older drivers. The demographic shift has important implications for licensing authorities, the regulatory bodies charged with licensing and 'fitness to drive' decisions. The objectives of this paper are to summarize the published scientific literature on licensing policies and procedures currently in use for older drivers, discuss their limitations, and provide recommendations for meeting the upcoming challenges of an aging baby boomer population of drivers. Online searches were conducted using the following databases: PsycINFO, MEDLINE, Scopus, and TRIS. Google and Google Scholar also were searched for scientific articles. References identified from database and online searches were examined for relevant articles. A number of studies have investigated the utility of different licensing policies and procedures for identifying older drivers who may be at risk for impaired driving performance. Overall, results suggest that current policies and procedures are ineffective in identifying high-risk older drivers. The results also emphasize the need for a different approach for the identification of high risk older drivers by licensing agencies. Recommendations to assist with that goal are provided. The aging of the baby boomer population, combined with the projected high crash rates for this cohort of drivers as it moves through the senior years, underscores

  9. Systems biology analysis of drivers underlying hallmarks of cancer cell metabolism

    Science.gov (United States)

    Zielinski, Daniel C.; Jamshidi, Neema; Corbett, Austin J.; Bordbar, Aarash; Thomas, Alex; Palsson, Bernhard O.

    2017-01-01

    Malignant transformation is often accompanied by significant metabolic changes. To identify drivers underlying these changes, we calculated metabolic flux states for the NCI60 cell line collection and correlated the variance between metabolic states of these lines with their other properties. The analysis revealed a remarkably consistent structure underlying high flux metabolism. The three primary uptake pathways, glucose, glutamine and serine, are each characterized by three features: (1) metabolite uptake sufficient for the stoichiometric requirement to sustain observed growth, (2) overflow metabolism, which scales with excess nutrient uptake over the basal growth requirement, and (3) redox production, which also scales with nutrient uptake but greatly exceeds the requirement for growth. We discovered that resistance to chemotherapeutic drugs in these lines broadly correlates with the amount of glucose uptake. These results support an interpretation of the Warburg effect and glutamine addiction as features of a growth state that provides resistance to metabolic stress through excess redox and energy production. Furthermore, overflow metabolism observed may indicate that mitochondrial catabolic capacity is a key constraint setting an upper limit on the rate of cofactor production possible. These results provide a greater context within which the metabolic alterations in cancer can be understood.

  10. Network analysis of genomic alteration profiles reveals co-altered functional modules and driver genes for glioblastoma.

    Science.gov (United States)

    Gu, Yunyan; Wang, Hongwei; Qin, Yao; Zhang, Yujing; Zhao, Wenyuan; Qi, Lishuang; Zhang, Yuannv; Wang, Chenguang; Guo, Zheng

    2013-03-01

    The heterogeneity of genetic alterations in human cancer genomes presents a major challenge to advancing our understanding of cancer mechanisms and identifying cancer driver genes. To tackle this heterogeneity problem, many approaches have been proposed to investigate genetic alterations and predict driver genes at the individual pathway level. However, most of these approaches ignore the correlation of alteration events between pathways and miss many genes with rare alterations collectively contributing to carcinogenesis. Here, we devise a network-based approach to capture the cooperative functional modules hidden in genome-wide somatic mutation and copy number alteration profiles of glioblastoma (GBM) from The Cancer Genome Atlas (TCGA), where a module is a set of altered genes with dense interactions in the protein interaction network. We identify 7 pairs of significantly co-altered modules that involve the main pathways known to be altered in GBM (TP53, RB and RTK signaling pathways) and highlight the striking co-occurring alterations among these GBM pathways. By taking into account the non-random correlation of gene alterations, the property of co-alteration could distinguish oncogenic modules that contain driver genes involved in the progression of GBM. The collaboration among cancer pathways suggests that the redundant models and aggravating models could shed new light on the potential mechanisms during carcinogenesis and provide new indications for the design of cancer therapeutic strategies.

  11. The driver, the road, the rules … and the rest? A systems-based approach to young driver road safety.

    Science.gov (United States)

    Scott-Parker, B; Goode, N; Salmon, P

    2015-01-01

    The persistent overrepresentation of young drivers in road crashes is universally recognised. A multitude of factors influencing their behaviour and safety have been identified through methods including crash analyses, simulated and naturalistic driving studies, and self-report measures. Across the globe numerous, diverse, countermeasures have been implemented; the design of the vast majority of these has been informed by a driver-centric approach. An alternative approach gaining popularity in transport safety is the systems approach which considers not only the characteristics of the individual, but also the decisions and actions of other actors within the road transport system, along with the interactions amongst them. This paper argues that for substantial improvements to be made in young driver road safety, what has been learnt from driver-centric research needs to be integrated into a systems approach, thus providing a holistic appraisal of the young driver road safety problem. Only then will more effective opportunities and avenues for intervention be realised. Copyright © 2014 Elsevier Ltd. All rights reserved.

  12. Naturalistic distraction and driving safety in older drivers.

    Science.gov (United States)

    Aksan, Nazan; Dawson, Jeffrey D; Emerson, Jamie L; Yu, Lixi; Uc, Ergun Y; Anderson, Steven W; Rizzo, Matthew

    2013-08-01

    In this study, we aimed to quantify and compare performance of middle-aged and older drivers during a naturalistic distraction paradigm (visual search for roadside targets) and to predict older drivers performance given functioning in visual, motor, and cognitive domains. Distracted driving can imperil healthy adults and may disproportionally affect the safety of older drivers with visual, motor, and cognitive decline. A total of 203 drivers, 120 healthy older (61 men and 59 women, ages 65 years and older) and 83 middle-aged drivers (38 men and 45 women, ages 40 to 64 years), participated in an on-road test in an instrumented vehicle. Outcome measures included performance in roadside target identification (traffic signs and restaurants) and concurrent driver safety. Differences in visual, motor, and cognitive functioning served as predictors. Older drivers identified fewer landmarks and drove slower but committed more safety errors than did middle-aged drivers. Greater familiarity with local roads benefited performance of middle-aged but not older drivers.Visual cognition predicted both traffic sign identification and safety errors, and executive function predicted traffic sign identification over and above vision. Older adults are susceptible to driving safety errors while distracted by common secondary visual search tasks that are inherent to driving. The findings underscore that age-related cognitive decline affects older drivers' management of driving tasks at multiple levels and can help inform the design of on-road tests and interventions for older drivers.

  13. Examination of Supplemental Driver Training and Online Basic Driver Education

    Science.gov (United States)

    2012-06-01

    This report describes supplemental driver training programs and online basic driver education. It coves supplemental driver training that : focused on knowledge and skills beyond those normally found in traditional driver education delivered in the U...

  14. [Health reasons for work disability among municipal transport drivers].

    Science.gov (United States)

    Szubert, Zuzanna; Sobala, Wojciech

    2005-01-01

    The health condition of public transport drivers is one of the factors playing a role in assuring safety of passengers taking use of this kind of transportation means. Therefore, the assessment of pathologies occurring in this occupational group is essential from the prevention point of view. Drivers employed in the municipal transport system are at particular risk. The aim of the study was to define health reasons of work disability among bus and tram drivers in general and to indicate pathologies responsible for disabilities in particular. The study covered 940 drivers (including 788 men and 152 women) employed in a municipal transportation enterprise during the years 1996-2000. Bus (30%) and tram (22%) drivers as well as transport service workers (48%), aged over 45 years, but under the retirement age, were eligible for the study. The analysis of temporary work disability during a five-year period was based on sickness absence, sickness absence rate and the average duration of sickness absence. The analysis revealed that diseases of the circulatory system form the major group of pathologies responsible for total sickness absence among bus drivers (43%), tram drivers (27%) and transport service workers (27%). These disease are also a leading cause of earlier retirement. They mostly include ischemic heart disease in bus drivers and hypertension in tram drivers. Cancers (pleura, kidney and eye) were responsible for 9% of sickness absence in the group of male tram drivers, whereas endocrine, nutritional and metabolic diseases and immunity disorders (diabetes, disorders of thyroid gland) in 16% of female tram drivers. Diseases of the musculoskeletal system were major causes of sickness absence among female tram drivers (24%), whereas malignant and benign neoplasms of breast and uterine myoma in 24% of female transport service workers. The results of the analysis are in agreement with the literature findings and provide explicit evidence that employment in the

  15. Driver hand-held cellular phone use: a four-year analysis.

    Science.gov (United States)

    Eby, David W; Vivoda, Jonathon M; St Louis, Renée M

    2006-01-01

    The use of hand-held cellular (mobile) phones while driving has stirred more debate, passion, and research than perhaps any other traffic safety issue in the past several years. There is ample research showing that the use of either hand-held or hands-free cellular phones can lead to unsafe driving patterns. Whether or not these performance deficits increase the risk of crash is difficult to establish, but recent studies are beginning to suggest that cellular phone use elevates crash risk. The purpose of this study was to assess changes in the rate of hand-held cellular phone use by motor-vehicle drivers on a statewide level in Michigan. This study presents the results of 13 statewide surveys of cellular phone use over a 4-year period. Hand-held cellular phone use data were collected through direct observation while vehicles were stopped at intersections and freeway exit ramps. Data were weighted to be representative of all drivers traveling during daylight hours in Michigan. The study found that driver hand-held cellular phone use has more than doubled between 2001 and 2005, from 2.7% to 5.8%. This change represents an average increase of 0.78 percentage points per year. The 5.8% use rate observed in 2005 means that at any given daylight hour, around 36,550 drivers were conversing on cellular phones while driving on Michigan roadways. The trend line fitted to these data predicts that by the year 2010, driver hand-held cellular phone use will be around 8.6%, or 55,000 drivers at any given daylight hour. These results make it clear that cellular phone use while driving will continue to be an important traffic safety issue, and highlight the importance of continued attempts to generate new ways of alleviating this potential hazard.

  16. Continuous traffic flow modeling of driver support systems in multiclass traffic with intervehicle communication and drivers in the loop

    NARCIS (Netherlands)

    Tampere, C.; Hoogendoorn, S.P.; van Arem, Bart

    2009-01-01

    This paper presents a continuous traffic-flow model for the explorative analysis of advanced driver-assistance systems (ADASs). Such systems use technology (sensors and intervehicle communication) to support the task of the driver, who retains full control over the vehicle. Based on a review of

  17. Are professional drivers less sleepy than non-professional drivers?

    Science.gov (United States)

    Anund, Anna; Ahlström, Christer; Fors, Carina; Åkerstedt, Torbjörn

    2018-01-01

    Objective It is generally believed that professional drivers can manage quite severe fatigue before routine driving performance is affected. In addition, there are results indicating that professional drivers can adapt to prolonged night shifts and may be able to learn to drive without decreased performance under high levels of sleepiness. However, very little research has been conducted to compare professionals and non-professionals when controlling for time driven and time of day. Method The aim of this study was to use a driving simulator to investigate whether professional drivers are more resistant to sleep deprivation than non-professional drivers. Differences in the development of sleepiness (self-reported, physiological and behavioral) during driving was investigated in 11 young professional and 15 non-professional drivers. Results Professional drivers self-reported significantly lower sleepiness while driving a simulator than non-professional drivers. In contradiction, they showed longer blink durations and more line crossings, both of which are indicators of sleepiness. They also drove faster. The reason for the discrepancy in the relation between the different sleepiness indicators for the two groups could be due to more experience to sleepiness among the professional drivers or possibly to the faster speed, which might unconsciously have been used by the professionals to try to counteract sleepiness. Conclusion Professional drivers self-reported significantly lower sleepiness while driving a simulator than non-professional drivers. However, they showed longer blink durations and more line crossings, both of which are indicators of sleepiness, and they drove faster.

  18. Traffic Safety through Driver Assistance and Intelligence

    Directory of Open Access Journals (Sweden)

    Heiner Bubb

    2011-05-01

    BMW, Daimler, Audi, Citroen, Lexus, VW, Opel, Peugeot, Renault, Chevrolet, Saab and Bosch. Both the contributions of research work concerning driving behavior analysis and driver assistance systems have to be aligned with a permanently updated interaction within the system of driver, vehicle and road traffic environment.

  19. The definition of and drivers of new product performance

    DEFF Research Database (Denmark)

    Jespersen, Kristina Risom; Juhl, Hans Jørn

    In the last three decades academic research on new product development has tried to identify the drivers of new product development performance. This body of research is characterised by a vast amount of different definitions of both the drivers of new product performance and the performance...

  20. Functionally Assessing Candidate Drivers Advances Precision Cancer Medicine.

    Science.gov (United States)

    Scott, Kenneth L; Powers, Scott

    2016-08-08

    The complexity of genomic alterations in cancer has made it difficult to identify oncogenic drivers for the development of targeted therapies. The study by Berger et al. in this issue of Cancer Cell demonstrates that high-throughput functional profiling can uncover impactful mutations and oncogenic driver alleles. Copyright © 2016 Elsevier Inc. All rights reserved.

  1. Analysis of IFR driver fuel hot channel factors

    International Nuclear Information System (INIS)

    Ku, J.Y.; Chang, L.K.; Mohr, D.

    1994-01-01

    Thermal-hydraulic uncertainty factors for Integral Fast Reactor (IFR) driver fuels have been determined based primarily on the database obtained from the predecessor fuels used in the IFR prototype, Experimental Breeder Reactor II. The uncertainty factors were applied to the channel factors (HCFs) analyses to obtain separate overall HCFs for fuel and cladding for steady-state analyses. A ''semistatistical horizontal method'' was used in the HCFs analyses. The uncertainty factor of the fuel thermal conductivity dominates the effects considered in the HCFs analysis; the uncertainty in fuel thermal conductivity will be reduced as more data are obtained to expand the currently limited database for the IFR ternary metal fuel (U-20Pu-10Zr). A set of uncertainty factors to be used for transient analyses has also been derived

  2. Analysis of IFR driver fuel hot channel factors

    International Nuclear Information System (INIS)

    Ku, J.Y.; Chang, L.K.; Mohr, D.

    2004-01-01

    Thermal-hydraulic uncertainty factors for Integral Fast Reactor (IFR) driver fuels have been determined based primarily on the database obtained from the predecessor fuels used in the IFR prototype. Experimental Breeder Reactor II. The uncertainty factors were applied to the hot channel factors (HCFs) analyses to obtain separate overall HCFs for fuel and cladding for steady-state analyses. A 'semistatistical horizontal method' was used in the HCFs analyses. The uncertainty factor of the fuel thermal conductivity dominates the effects considered in the HCFs analysis; the uncertainty in fuel thermal conductivity will be reduced as more data are obtained to expand the currently limited database for the IFR ternary metal fuel (U-20Pu-10Zr). A set of uncertainty factors to be used for transient analyses has also been derived. (author)

  3. DRIVER INATTENTION

    Directory of Open Access Journals (Sweden)

    Richard TAY

    2004-01-01

    Full Text Available Driver inattention, especially driver distraction, is an extremely influential but generally neglected contributing factor of road crashes. This paper explores some of the common behaviours associated with several common forms of driver inattention, with respect to their perceived crash risks, rates of self-reported behaviours and whether drivers regulate such behaviours depending on the road and traffic environment, and provides some policy recommendations to address issues raised.

  4. Effects of Defensive Vehicle Handling on Novice Driver Safety : Phase 3. Data Analysis and Results

    Science.gov (United States)

    2010-09-01

    This project evaluates the effectiveness of a multistage driver education program for Montanas young : drivers. A total of 347 teenaged drivers who had completed high school driver education agreed to participate. : These drivers were randomly spl...

  5. School start times and teenage driver motor vehicle crashes.

    Science.gov (United States)

    Foss, Robert D; Smith, Richard L; O'Brien, Natalie P

    2018-04-26

    Shifting school start times to 8:30 am or later has been found to improve academic performance and reduce behavior problems. Limited research suggests this may also reduce adolescent driver motor vehicle crashes. A change in the school start time from 7:30 am to 8:45 am for all public high schools in one North Carolina county presented the opportunity to address this question with greater methodologic rigor. We conducted ARIMA interrupted time-series analyses to examine motor vehicle crash rates of high school age drivers in the intervention county and 3 similar comparison counties with comparable urban-rural population distribution. To focus on crashes most likely to be affected, we limited analysis to crashes involving 16- & 17-year-old drivers occurring on days when school was in session. In the intervention county, there was a 14% downward shift in the time-series following the 75 min delay in school start times (p = .076). There was no change approaching statistical significance in any of the other three counties. Further analysis indicated marked, statistically significant shifts in hourly crash rates in the intervention county, reflecting effects of the change in school start time on young driver exposure. Crashes from 7 to 7:59 am decreased sharply (-25%, p = .008), but increased similarly from 8 to 8:59 am (21%, p = .004). Crashes from 2 to 2:59 pm declined dramatically (-48%, p = .000), then increased to a lesser degree from 3 to 3:59 pm (32%, p = .024) and non-significantly from 4 to 4:59 (19%, p = .102). There was no meaningful change in early morning or nighttime crashes, when drowsiness-induced crashes might have been expected to be most common. The small decrease in crashes among high school age drivers following the shift in school start time is consistent with the findings of other studies of teen driver crashes and school start times. All these studies, including the present one, have limitations, but the similar

  6. Linking Stream Dissolved Oxygen with the Dynamic Environmental Drivers across the Pacific Coast of U.S.A.

    Science.gov (United States)

    Araya, F. Z.; Abdul-Aziz, O. I.

    2017-12-01

    This study utilized a systematic data analytics approach to determine the relative linkages of stream dissolved oxygen (DO) with the hydro-climatic and biogeochemical drivers across the U.S. Pacific Coast. Multivariate statistical techniques of Pearson correlation matrix, principal component analysis, and factor analysis were applied to a complex water quality dataset (1998-2015) at 35 water quality monitoring stations of USGS NWIS and EPA STORET. Power-law based partial least squares regression (PLSR) models with a bootstrap Monte Carlo procedure (1000 iterations) were developed to reliably estimate the relative linkages by resolving multicollinearity (Nash-Sutcliffe Efficiency, NSE = 0.50-0.94). Based on the dominant drivers, four environmental regimes have been identified and adequately described the system-data variances. In Pacific North West and Southern California, water temperature was the most dominant driver of DO in majority of the streams. However, in Central and Northern California, stream DO was controlled by multiple drivers (i.e., water temperature, pH, stream flow, and total phosphorus), exhibiting a transitional environmental regime. Further, total phosphorus (TP) appeared to be the limiting nutrient for most streams. The estimated linkages and insights would be useful to identify management priorities to achieve healthy coastal stream ecosystems across the Pacific Coast of U.S.A. and similar regions around the world. Keywords: Data analytics, water quality, coastal streams, dissolved oxygen, environmental regimes, Pacific Coast, United States.

  7. Railway suicide: the psychological effects on drivers.

    Science.gov (United States)

    Farmer, R; Tranah, T; O'Donnell, I; Catalan, J

    1992-05-01

    People have jumped (or fallen) in front of trains on the London Underground system in increasing numbers throughout the twentieth century. During the past decade there have been about 100 such incidents each year, of which around 90 would involve the train driver witnessing his train strike the person on the track. Most are suicides or attempts at suicide. They represent major unexpected and violent events in the lives of the train drivers and it might be expected that some of them would respond by developing a post-traumatic stress reaction of the type identified by Horowitz (1976) or other adverse psychological reactions or both. The research reported in this paper was designed to characterize the range of responses of drivers to the experiences of killing or injuring members of the public during the course of their daily work. It was found that 16.3% of the drivers involved in incidents did develop post-traumatic stress disorder and that other diagnoses, e.g. depression and phobic states, were present in 39.5% of drivers when interviewed one month after the incident.

  8. Continuous traffic flow modeling of driver support systems in multiclass traffic with inter-vehicle communication and drivers in the loop

    NARCIS (Netherlands)

    Tampere, C.M.J.; Hoogendoorn, S.P.; Arem, B. van

    2009-01-01

    This paper presents a continuous traffic-flow model for the explorative analysis of advanced driver-assistance systems (ADASs). Such systems use technology (sensors and intervehicle communication) to support the task of the driver, who retains full control over the vehicle. Based on a review of

  9. Attitudinal segmentaion of drivers in Pakistan: The potential for effective road safety campaigns.

    Science.gov (United States)

    Batool, Zahara; Carsten, Oliver

    2018-05-01

    Deviant driving behaviors are considered as the main cause of Road Traffic Accidents in Pakistan. This research is founded on the premise that driving behaviors are mediated by attitudinal and motivational factors. It advocates that rather than simply aggregating drivers' responses or a-priori classification of them based on their personal characteristics, adoption of segmentation technique is more useful to look at multiple factors provoking aberrant driving behavior in combination and not just in isolation. For this, the study generated an Attitudinal Questionnaire, inspired by the Ajzen's Theory of Planned Behavior (TPB: Ajzen, 1991), and extended violation-scale of modified Driver Behavior Questionnaire (DBQ: Lawton et al., 1997). Attitudinal and behavioral items are first factor analyzed. Then, cluster analysis is performed on extracted attitudinal factors which classified sample driving population into four relatively homogenous and distinct groups of drivers. The results demonstrated the explanatory utility of the market segmentation approach to systematically relate the interaction between attitudes, behaviors and socio-demographic characteristics of drivers. It is concluded that the approach is successful in distinguishing safe drivers from unsafe driver and therefore, can legitimately form the basis of road safety interventions. Finally, the findings are used to recommend targeted information-based road safety solutions with a focus on the diverse characteristics of each of the identified segments. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. Multiple logistic regression model of signalling practices of drivers on urban highways

    Science.gov (United States)

    Puan, Othman Che; Ibrahim, Muttaka Na'iya; Zakaria, Rozana

    2015-05-01

    Giving signal is a way of informing other road users, especially to the conflicting drivers, the intention of a driver to change his/her movement course. Other users are exposed to hazard situation and risks of accident if the driver who changes his/her course failed to give signal as required. This paper describes the application of logistic regression model for the analysis of driver's signalling practices on multilane highways based on possible factors affecting driver's decision such as driver's gender, vehicle's type, vehicle's speed and traffic flow intensity. Data pertaining to the analysis of such factors were collected manually. More than 2000 drivers who have performed a lane changing manoeuvre while driving on two sections of multilane highways were observed. Finding from the study shows that relatively a large proportion of drivers failed to give any signals when changing lane. The result of the analysis indicates that although the proportion of the drivers who failed to provide signal prior to lane changing manoeuvre is high, the degree of compliances of the female drivers is better than the male drivers. A binary logistic model was developed to represent the probability of a driver to provide signal indication prior to lane changing manoeuvre. The model indicates that driver's gender, type of vehicle's driven, speed of vehicle and traffic volume influence the driver's decision to provide a signal indication prior to a lane changing manoeuvre on a multilane urban highway. In terms of types of vehicles driven, about 97% of motorcyclists failed to comply with the signal indication requirement. The proportion of non-compliance drivers under stable traffic flow conditions is much higher than when the flow is relatively heavy. This is consistent with the data which indicates a high degree of non-compliances when the average speed of the traffic stream is relatively high.

  11. Estimating likelihood of future crashes for crash-prone drivers

    OpenAIRE

    Subasish Das; Xiaoduan Sun; Fan Wang; Charles Leboeuf

    2015-01-01

    At-fault crash-prone drivers are usually considered as the high risk group for possible future incidents or crashes. In Louisiana, 34% of crashes are repeatedly committed by the at-fault crash-prone drivers who represent only 5% of the total licensed drivers in the state. This research has conducted an exploratory data analysis based on the driver faultiness and proneness. The objective of this study is to develop a crash prediction model to estimate the likelihood of future crashes for the a...

  12. Challenges for Older Drivers in Urban, Suburban, and Rural Settings

    Directory of Open Access Journals (Sweden)

    Rashmi P. Payyanadan

    2018-03-01

    Full Text Available Along with age-related factors, geographical settings—urban, suburban, and rural areas—also contribute to the differences in fatal crashes among older drivers. These differences in crash outcomes might be attributed to the various driving challenges faced by older drivers residing in different locations. To understand these challenges from the perspective of the older driver, a focus group study was conducted with drivers 65 and older from urban, suburban, and rural settings. Guided-group interviews were used to assess driving challenges, mobility options, opportunities for driver support systems (DSS, and alternate transportation needs. Content analysis of the interview responses resulted in four categories representing common challenges faced by older drivers across the settings: behavior of other drivers on the road, placement of road signs, reduced visibility of road signs due to age-related decline, and difficulties using in-vehicle technologies. Six categories involved location-specific challenges such as heavy traffic situations for urban and suburban drivers, and multi-destination trips for rural drivers. Countermeasures implemented by older drivers to address these challenges primarily involved route selection and avoidance. Technological advances of DSS systems provide a unique opportunity to support the information needs for route selection and avoidance preferences of drivers. Using the content analysis results, a framework was built to determine additional and modified DSS features to meet the specific challenges of older drivers in urban, suburban, and rural settings. These findings suggest that there is heterogeneity in the driving challenges and preferences of older drivers based on their location. Consequently, DSS technologies and vehicle automation need to be tailored to not only meet the driving safety and mobility needs of older drivers as a population, but also to their driving environment.

  13. An analysis on older driver's driving behavior by GPS tracking data: Road selection, left/right turn, and driving speed

    Directory of Open Access Journals (Sweden)

    Yanning Zhao

    2018-02-01

    Full Text Available With the high older-related accident ratio and increasing population aging problem, understanding older drivers' driving behaviors has become more and more important for building and improving transportation system. This paper examines older driver's driving behavior which includes road selection, left/right turn and driving speed. A two-month experiment of 108 participants was carried out in Aichi Prefecture, Japan. Since apparently contradictory statements were often drawn in survey-based or simulators-based studies, this study collected not only drivers' basic information but also GPS data. Analysis of road selection demonstrates that older drivers are reluctant to drive on expressway not only in short trips but also in long trips. The present study did not find significant difference between older drivers and others while turning at the intersections. To investigate the impact factors on driving speed, a random-effects regression model is constructed with explanatory variables including age, gender, road types and the interaction terms between age and road types. Compared with other variables, it fails to find that age (60 years old or over has significant impact on driving speed. Moreover, the results reflect that older drivers drive even faster than others at particular road types: national road and ordinary municipal road. The results in this study are expected to help improve transportation planning and develop driving assistance systems for older drivers.

  14. Analysis of medical and psychological certificates concerning drivers who drove after alcohol use

    Directory of Open Access Journals (Sweden)

    Ewa Latała-Łoś

    2014-08-01

    Full Text Available Background: The aim of the study is to present the health predispositions to drive, assessed during certifying people referred to the Regional Centre for Occupational Medicine in Kielce due to drunk driving or driving after using alcohol. The article mainly presents the results regarding the prevalence of alcohol dependence and other psychiatric disorders in this group. We analyzed health condition at 3 year intervals in the years 2004, 2007 and 2010, adding the population of those who were examined in 2011. Material and Methods: A total of 5701 people were involved, both men and women. Drivers test cards along with the results of biochemical tests and specialist consultations were analyzed. The analysis of the results was performed using the statistical package PQStat 1.4.2.324 Results: Certificates with health contraindications to drive were issued to 6.7% of investigated individuals. Very significant correlation between alcohol dependence syndrome and the level of γ-glutamyl transferase (GGT, alanine aminotransferase (ALT, and aspartate aminotransferase (AST were confirmed. Alcohol dependence was diagnosed in 3.8% of the group. Conclusions: The health state of the drivers met the required certification criteria necessary for obtaining a driving license in more than 93% of the group. The study revealed many diseases in the group of investigated drivers, including 3.8% of alcohol dependence and 5% of mental disorders. The threat of losing driving license has become an important factor motivating drivers to undertake therapy. However, it seems advisable to develop principles for treatment monitoring and exchange of information between the certifying physician and the treating psychiatrist or psychologist. Med Pr 2014;65(4:497–506

  15. Restructuring of the driver for TASS/SMR, SMART analysis code

    International Nuclear Information System (INIS)

    Lee, G. H.; Kim, S. H.; Whang, Y. D.; Kim, H. C.

    2003-01-01

    TASS/SMR is under development by implementing the newly developed thermal hydraulic models for the integral reactor, SMART. The data structure of TASS utilizes external files, which could result in difficulties for the code maintenance and an easy understanding of the code. The driver for TASS/SMR was rewritten for the use of Fortran 90 advanced features, such as dynamic memory management and user defined derived type. The input structure of TASS changed from the interactive method to card numbered system. Also the output process of TASS reformed by removing the utility program. The validation of the TASS/SMR driver was performed by the comparison of results. The use of the revised TASS/SMR driver is expected to accelerate code development process as well as improve user friendliness

  16. Identification of Constrained Cancer Driver Genes Based on Mutation Timing

    Science.gov (United States)

    Sakoparnig, Thomas; Fried, Patrick; Beerenwinkel, Niko

    2015-01-01

    Cancer drivers are genomic alterations that provide cells containing them with a selective advantage over their local competitors, whereas neutral passengers do not change the somatic fitness of cells. Cancer-driving mutations are usually discriminated from passenger mutations by their higher degree of recurrence in tumor samples. However, there is increasing evidence that many additional driver mutations may exist that occur at very low frequencies among tumors. This observation has prompted alternative methods for driver detection, including finding groups of mutually exclusive mutations and incorporating prior biological knowledge about gene function or network structure. Dependencies among drivers due to epistatic interactions can also result in low mutation frequencies, but this effect has been ignored in driver detection so far. Here, we present a new computational approach for identifying genomic alterations that occur at low frequencies because they depend on other events. Unlike passengers, these constrained mutations display punctuated patterns of occurrence in time. We test this driver–passenger discrimination approach based on mutation timing in extensive simulation studies, and we apply it to cross-sectional copy number alteration (CNA) data from ovarian cancer, CNA and single-nucleotide variant (SNV) data from breast tumors and SNV data from colorectal cancer. Among the top ranked predicted drivers, we find low-frequency genes that have already been shown to be involved in carcinogenesis, as well as many new candidate drivers. The mutation timing approach is orthogonal and complementary to existing driver prediction methods. It will help identifying from cancer genome data the alterations that drive tumor progression. PMID:25569148

  17. An examination of the environmental, driver and vehicle factors associated with the serious and fatal crashes of older rural drivers.

    Science.gov (United States)

    Thompson, J P; Baldock, M R J; Mathias, J L; Wundersitz, L N

    2013-01-01

    Motor vehicle crashes involving rural drivers aged 75 years and over are more than twice as likely to result in a serious or fatal injury as those involving their urban counterparts. The current study examined some of the reasons for this using a database of police-reported crashes (2004-2008) to identify the environmental (lighting, road and weather conditions, road layout, road surface, speed limit), driver (driver error, crash type), and vehicle (vehicle age) factors that are associated with the crashes of older rural drivers. It also determined whether these same factors are associated with an increased likelihood of serious or fatal injury in younger drivers for whom frailty does not contribute to the resulting injury severity. A number of environmental (i.e., undivided, unsealed, curved and inclined roads, and areas with a speed limit of 100km/h or greater) and driver (i.e., collision with a fixed object and rolling over) factors were more frequent in the crashes of older rural drivers and additionally associated with increased injury severity in younger drivers. Moreover, when these environmental factors were entered into a logistic regression model to predict whether older drivers who were involved in crashes did or did not sustain a serious or fatal injury, it was found that each factor independently increased the likelihood of a serious or fatal injury. Changes, such as the provision of divided and sealed roads, greater protection from fixed roadside objects, and reduced speed limits, appear to be indicated in order to improve the safety of the rural driving environment for drivers of all ages. Additionally, older rural drivers should be encouraged to reduce their exposure to these risky circumstances. Copyright © 2012 Elsevier Ltd. All rights reserved.

  18. Key drivers for informal project coordination among sub-contractors

    DEFF Research Database (Denmark)

    Aagaard, Annabeth; Eskerod, Pernille; Madsen, Erik Skov

    2015-01-01

    understandings. Still though, many sub-contractors choose not to coordinate informally. The purpose of this paper is to identify drivers that enhance or inhibits informal coordination in projects. A qualitative, explorative case study approach was applied. Fifteen SME sub-contractors within the offshore wind...... are massive. Six drivers which enhance informal coordination and three drivers which inhibit informal coordination among sub-contractors in projects were identified. The findings imply that management in project-oriented organizations can enhance informal coordination across project sub-contractors...... and by facilitating trust building, by emphasizing previous collaboration successes with the sub-contractors and the possibility of future common projects, by being explicit about expectations on informal coordination, and by developing sub-contractor contracts that are not as tight in economic terms, but instead...

  19. Drivers' Visual Characteristics when Merging onto or Exiting an Urban Expressway.

    Directory of Open Access Journals (Sweden)

    Ying Cheng

    Full Text Available The aim of this study is to examine drivers' visual and driving behavior while merging onto or exiting an urban expressway with low and high traffic densities. The analysis was conducted according to three periods (approaching, merging or exiting, and accelerating or decelerating. A total of 10 subjects (8 males and 2 females with ages ranging from 25 to 52 years old (M = 30.0 years old participated in the study. The research was conducted in a natural driving situation, and the drivers' eye movements were monitored and recorded using an eye tracking system. The results show that the influence of traffic density on the glance duration and scan duration is more significant when merging than when exiting. The results also demonstrate that the number of glances and the mean glance duration are mainly related to the driving task (e.g., the merging period. Therefore, drivers' visual search strategies mainly depend on the current driving task. With regard to driving behavior, the variation tendencies of the duration and the velocity of each period are similar. These results support building an automated driving assistant system that can automatically identify gaps and accelerate or decelerate the car accordingly or provide suggestions to the driver to do so.

  20. Driver behavior in traffic.

    Science.gov (United States)

    2012-02-01

    Existing traffic analysis and management tools do not model the ability of drivers to recognize their environment and respond to it with behaviors that vary according to the encountered driving situation. The small body of literature on characterizin...

  1. Study on driver model for hybrid truck based on driving simulator experimental results

    Directory of Open Access Journals (Sweden)

    Dam Hoang Phuc

    2018-04-01

    Full Text Available In this paper, a proposed car-following driver model taking into account some features of both the compensatory and anticipatory model representing the human pedal operation has been verified by driving simulator experiments with several real drivers. The comparison between computer simulations performed by determined model parameters with the experimental results confirm the correctness of this mathematical driver model and identified model parameters. Then the driver model is joined to a hybrid vehicle dynamics model and the moderate car following maneuver simulations with various driver parameters are conducted to investigate influences of driver parameters on vehicle dynamics response and fuel economy. Finally, major driver parameters involved in the longitudinal control of drivers are clarified. Keywords: Driver model, Driver-vehicle closed-loop system, Car Following, Driving simulator/hybrid electric vehicle (B1

  2. Blood alcohol concentration in drivers of Liege area (Belgium): a 5-year analysis.

    Science.gov (United States)

    Deville, M; Charlier, C

    2015-10-01

    The objective of the study was to describe 'the results of the blood alcohol determinations made on drivers from the Liege area between 2007 and 2012. The results were interpreted according to the sex, to the age, to the circumstances and temporal variation of the test. Statistical analysis was performed using R® software. 2725 determinations were done, mainly after crashes. The mean blood alcohol concentration (BAC) was 1.69 g/L, and 2132 drivers were above the legal threshold. A majority of offenders were men, but the mean BAC did not differ significantly between men and women. A correlation between age and mean BAC can be observed on the positive cases. Lowest and highest mean BACs are observed during the daytime and during the night, respectively, but no significant difference can be observed between the week and the weekend. Finally, no significant difference in BAC was observed over years.

  3. The Global Drivers of Photosynthesis and Light Use Efficiency Seasonality: A Granger Frequency Causality Analysis

    Science.gov (United States)

    Nemani, Ramakrishna R.

    2016-01-01

    Photosynthesis and light use efficiency (LUE) are major factors in the evolution of the continental carbon cycle due to their contribution to gross primary production (GPP). However, while the drivers of photosynthesis and LUE on a plant or canopy scale can often be identified, significant uncertainties exist when modeling these on a global scale. This is due to sparse observations in regions such as the tropics and the lack of a direct global observation dataset. Although others have attempted to address this issue using correlations (Beer, 2010) or calculating GPP from vegetation indices (Running, 2004), in this study we take a new approach. We combine the statistical method of Granger frequency causality and partial Granger frequency causality with remote sensing data products (including sun-induced fluorescence used as a proxy for GPP) to determine the main environmental drivers of GPP across the globe.

  4. Cell Phone-Related Near Accidents Among Young Drivers: Associations With Mindfulness.

    Science.gov (United States)

    Terry, Christopher P; Terry, Danielle L

    2015-01-01

    Cell phone use while driving (CPWD) has been shown to significantly reduce driver safety. This is a particular concern among young drivers who possess less driving experience and tend to engage in high rates of cell phone use. The present study identified psychological predictors of near accidents related to CPWD among a sample of 385 college student drivers. Participants answered a series of questions regarding their use of a cell phone while driving and completed measures of mindfulness, polychronicity, and intrusive thinking. Students who reported talking on their phone or texting more frequently while driving reported a higher incidence of near accidents related to each behavior. However, after controlling for CPWD, multiple regression analysis indicated that those who reported experiencing more cell phone-related intrusive thoughts also experienced more near accidents. Furthermore, two facets of mindfulness--acting with awareness and nonjudging of inner experience--were negatively associated with near accidents. These findings suggest that individuals who are more aware of the present moment and accepting of their affective responses may better regulate their attention while using a cell phone behind the wheel.

  5. Final Report on the Fuel Saving Effectiveness of Various Driver Feedback Approaches

    Energy Technology Data Exchange (ETDEWEB)

    Gonder, J.; Earleywine, M.; Sparks, W.

    2011-03-01

    This final report quantifies the fuel-savings opportunities from specific driving behavior changes, identifies factors that influence drivers' receptiveness to adopting fuel-saving behaviors, and assesses various driver feedback approaches.

  6. Using Landscape Analysis to Test Hypotheses about Drivers of Tick Abundance and Infection Prevalence with Borrelia burgdorferi.

    Science.gov (United States)

    Ferrell, A Michelle; Brinkerhoff, R Jory

    2018-04-12

    Patterns of vector-borne disease risk are changing globally in space and time and elevated disease risk of vector-borne infection can be driven by anthropogenic modification of the environment. Incidence of Lyme disease, caused by the bacterium Borrelia burgdorferi sensu stricto, has risen in a number of locations in North America and this increase may be driven by spatially or numerically expanding populations of the primary tick vector, Ixodes scapularis . We used a model selection approach to identify habitat fragmentation and land-use/land cover variables to test the hypothesis that the amount and configuration of forest cover at spatial scales relevant to deer, the primary hosts of adult ticks, would be the predominant determinants of tick abundance. We expected that land cover heterogeneity and amount of forest edge, a habitat thought to facilitate deer foraging and survival, would be the strongest driver of tick density and that larger spatial scales (5-10 km) would be more important than smaller scales (1 km). We generated metrics of deciduous and mixed forest fragmentation using Fragstats 4.4 implemented in ArcMap 10.3 and found, after adjusting for multicollinearity, that total forest edge within a 5 km buffer had a significant negative effect on tick density and that the proportion of forested land cover within a 10 km buffer was positively associated with density of I. scapularis nymphs. None of the 1 km fragmentation metrics were found to significantly improve the fit of the model. Elevation, previously associated with increased density of I. scapularis nymphs in Virginia, while significantly predictive in univariate analysis, was not an important driver of nymph density relative to fragmentation metrics. Our results suggest that amount of forest cover (i.e., lack of fragmentation) is the most important driver of I. scapularis density in our study system.

  7. Identification of Drivers in Traffic Accidents and Determination of Passenger Position in a Vehicle by Finger Marks

    Directory of Open Access Journals (Sweden)

    Matej Trapečar

    2012-01-01

    Full Text Available The following paper aims to illustrate certain investigative activities in the forensic analysis and examination of the scene of traffic accidents. When a traffic accident occurs, the scene must be secured as soon as possible to enable professional and proper forensic investigation. Failure to secure the accident scene might result in losing or contaminating the traces, which makes it more difficult to prove or explain trace evidence in further procedure or even makes such evidence inadmissible. The topic is discussed from the viewpoint of crime scene examination, since analysing and investigating traffic accidents requires a great deal of expertise and attention of the investigators. Complex traffic accidents include feigned accidents, hit-and-run accidents as well as accidents in which the driver and passengers, dead or alive, need to be identified. In identifying the passengers, standard criminal investigation methods as well as police forensic and forensic medicine methods are followed. Such methods include confirming the identities with identity documents, other documents and vehicle ownership, fingerprints, biological traces, fibre traces, contact traces, traces of physical injuries on the driver and passengers, etc. According to the results obtained in fingerprint detection on human skin surfaces, this method can also be applied in confirming physical contact between the driver and the passengers in the accident, e.g. in the event of moving the victims and changing the scene of the accident.   Key words: traffic accidents, accident analysis, driver's identity, passengers' position, finger marks, human skin

  8. Evaluation of Traffic Accident Risk in In-City Bus Drivers: The Use of Berlin Questionnaire

    Science.gov (United States)

    Ekren, Pervin Korkmaz; Uysal, Funda Elmas; Başoğlu, Özen K.

    2018-01-01

    OBJECTIVES Traffic accidents associated with high mortality rate may produce serious problems especially in highways. Obstructive sleep apnea (OSA) has been associated with a high risk for traffic accidents due to excessive daytime sleepiness even in in-city drivers. In the present study, it was aimed to evaluate the rate of OSA symptoms and to identify risk factors associated with traffic accidents in in-city bus drivers. MATERIAL AND METHODS A self-administered questionnaire including demographic and anthropometric features, sleep and work schedules, Berlin questionnaire, Epworth sleepiness score (ESS), and history of traffic accidents was used. RESULTS The questionnaire was conducted for 1400 male bus drivers (mean age, 38.0±6.4 y, body mass index, 27.8±3.9 kg/m2). A total of 1058 (75.6%) drivers had one or more accidents while driving bus. According to the Berlin questionnaire, 176 (12.6%) drivers were found to have high OSA risk and the accident rate was 83.0% in high-risk group, whereas 74.5% of low-risk drivers had accidents (p=0.043). The drivers with a history of traffic accident were older (p=0.030), had higher ESS (p=0.019), and were more in the high-risk OSA group according to the Berlin questionnaire (p=0.015). In multivariate linear regression analysis, traffic accident was associated with only Berlin questionnaire (p=0.015). CONCLUSION The present results support that city bus drivers with high OSA risk according to Berlin questionnaire have increased accident rates. Therefore, we suggest using Berlin questionnaire for screening sleep apnea not only in highway drivers but also in in-city bus drivers. PMID:29755810

  9. Profound Tissue Specificity in Proliferation Control Underlies Cancer Drivers and Aneuploidy Patterns.

    Science.gov (United States)

    Sack, Laura Magill; Davoli, Teresa; Li, Mamie Z; Li, Yuyang; Xu, Qikai; Naxerova, Kamila; Wooten, Eric C; Bernardi, Ronald J; Martin, Timothy D; Chen, Ting; Leng, Yumei; Liang, Anthony C; Scorsone, Kathleen A; Westbrook, Thomas F; Wong, Kwok-Kin; Elledge, Stephen J

    2018-04-05

    Genomics has provided a detailed structural description of the cancer genome. Identifying oncogenic drivers that work primarily through dosage changes is a current challenge. Unrestrained proliferation is a critical hallmark of cancer. We constructed modular, barcoded libraries of human open reading frames (ORFs) and performed screens for proliferation regulators in multiple cell types. Approximately 10% of genes regulate proliferation, with most performing in an unexpectedly highly tissue-specific manner. Proliferation drivers in a given cell type showed specific enrichment in somatic copy number changes (SCNAs) from cognate tumors and helped predict aneuploidy patterns in those tumors, implying that tissue-type-specific genetic network architectures underlie SCNA and driver selection in different cancers. In vivo screening confirmed these results. We report a substantial contribution to the catalog of SCNA-associated cancer drivers, identifying 147 amplified and 107 deleted genes as potential drivers, and derive insights about the genetic network architecture of aneuploidy in tumors. Copyright © 2018 Elsevier Inc. All rights reserved.

  10. Locomotor diseases among male long-haul truck drivers and other professional drivers

    DEFF Research Database (Denmark)

    Jensen, Anker; Kaerlev, Linda; Tüchsen, Finn

    2007-01-01

    -249) and for other truck drivers (SHR: 130, 95% CI: 108-156) compared to bus drivers (SHR: 110, 95% CI: 79-149). All drivers had high SHR for lesions of the ulnar nerve (SHR: 159, 95% CI: 119-207), especially bus drivers (SHR: 197, 95% CI: 116-311). Long-haul truck drivers had high SHRs for synovitis and bursitis...

  11. SUBJECTIVE METHODS FOR ASSESSMENT OF DRIVER DROWSINESS

    Directory of Open Access Journals (Sweden)

    Alina Mashko

    2017-12-01

    Full Text Available The paper deals with the issue of fatigue and sleepiness behind the wheel, which for a long time has been of vital importance for the research in the area of driver-car interaction safety. Numerous experiments on car simulators with diverse measurements to observe human behavior have been performed at the laboratories of the faculty of the authors. The paper provides analysis and an overview and assessment of the subjective (self-rating and observer rating methods for observation of driver behavior and the detection of critical behavior in sleep deprived drivers using the developed subjective rating scales.

  12. Analysis of impact noise induced by hitting of titanium head golf driver.

    Science.gov (United States)

    Kim, Young Ho; Kim, Young Chul; Lee, Jun Hee; An, Yong-Hwi; Park, Kyung Tae; Kang, Kyung Min; Kang, Yeon June

    2014-11-01

    The hitting of titanium head golf driver against golf ball creates a short duration, high frequency impact noise. We analyzed the spectra of these impact noises and evaluated the auditory hazards from exposure to the noises. Noises made by 10 titanium head golf drivers with five maximum hits were collected, and the spectra of the pure impact sounds were studied using a noise analysis program. The noise was measured at 1.7 m (position A) and 3.4 m (position B) from the hitting point in front of the hitter and at 3.4 m (position C) behind the hitting point. Average time duration was measured and auditory risk units (ARUs) at position A were calculated using the Auditory Hazard Assessment Algorithm for Humans. The average peak levels at position A were 119.9 dBA at the sound pressure level (SPL) peak and 100.0 dBA at the overall octave level. The average peak levels (SPL and overall octave level) at position B were 111.6 and 96.5 dBA, respectively, and at position C were 111.5 and 96.7 dBA, respectively. The average time duration and ARUs measured at position A were 120.6 ms and 194.9 units, respectively. Although impact noises made by titanium head golf drivers showed relatively low ARUs, individuals enjoying golf frequently may be susceptible to hearing loss due to the repeated exposure of this intense impact noise with short duration and high frequency. Unprotected exposure to impact noises should be limited to prevent cochleovestibular disorders.

  13. Regional drivers of on-farm energy production in Bavaria

    International Nuclear Information System (INIS)

    Schaffer, Axel; Düvelmeyer, Claudia

    2016-01-01

    Bavaria's energy policy seeks to increase the share of power supply from renewable sources related to on-farm energy production (agricultural biogas, wind- and solar energy) from currently 15% to more than 30% in 2021. It is therefore of particular interest for policy-makers to identify regional drivers of and barriers to this concept. The presented study addresses this issue and applies a spatial regression analysis to Bavaria’s 71 rural counties. The findings indicate significant impacts of technological regional transformation ability, agricultural structure (degree of professionalization and consolidation of organic farming) and neighborhood effects. This is in contrast to most geographical factors, which seem to be of minor relevance. - Highlights: •Energy transition is largely carried by farmers’ adoption of renewable energy (RE). •Adoption of RE generally follows an s-shaped diffusion curve. •Drivers are regions’ transformation ability and professionalization of agriculture. •Adoption of RE conflicts with organic farming.

  14. Improved power quality based high brightness LED lamp driver

    African Journals Online (AJOL)

    user

    consists of a PFC Cuk DC-DC converter which operates in continuous conduction mode (CCM) to improve the ... In proposed LED driver as shown in Figure 1, a Cuk buck boost AC-DC converter ... Design and Analysis of Proposed LED Driver.

  15. Measuring situational avoidance in older drivers: An application of Rasch analysis.

    Science.gov (United States)

    Davis, Jessica; Conlon, Elizabeth; Ownsworth, Tamara; Morrissey, Shirley

    2016-02-01

    Situational avoidance is a form of driving self-regulation at the strategic level of driving behaviour. It has typically been defined as the purposeful avoidance of driving situations perceived as challenging or potentially hazardous. To date, assessment of the psychometric properties of existing scales that measure situational avoidance has been sparse. This study examined the contribution of Rasch analysis to the situational avoidance construct. Three hundred and ninety-nine Australian drivers (M=66.75, SD=10.14, range: 48-91 years) completed the Situational Avoidance Questionnaire (SAQ). Following removal of the item Parallel Parking, the scale conformed to a Rasch model, showing good person separation, sufficient reliability, little disordering of thresholds, and no evidence of differential item functioning by age or gender. The residuals were independent supporting the assumption of unidimensionality and in conforming to a Rasch model, SAQ items were found to be hierarchical or cumulative. Increased avoidance was associated with factors known to be related to driving self-regulation more broadly, including older age, female gender, reduced driving space and frequency, reporting a change in driving in the past five years and poorer indices of health (i.e., self-rated mood, vision and cognitive function). Overall, these results support the use of the SAQ as a psychometrically sound measure of situational avoidance. Application of Rasch analysis to this area of research advances understanding of the driving self-regulation construct and its practice by drivers in baby boomer and older adult generations. Copyright © 2015 Elsevier Ltd. All rights reserved.

  16. Physics at a New Fermilab Proton Driver

    International Nuclear Information System (INIS)

    Geer, Steve

    2005-01-01

    In 2004 the Fermilab Long Range Planning Committee identified a new high intensity Proton Driver as an attractive option for the future, primarily motivated by the recent exciting developments in neutrino physics. The Fermilab Director has requested further development of the physics case for a new Fermilab Proton Driver, exploring both its ability to support a World class neutrino program, and the other physics opportunities it would provide. A physics study has been ongoing for the last 6 months. The emerging physics case will be presented.

  17. Did Brisbane Grow Smartly? Drivers of City Growth 1991-2001 and Lessons for Current Policies

    Directory of Open Access Journals (Sweden)

    Farjana Mostafiz Shatu

    2014-10-01

    Full Text Available Urban areas are growing unsustainably around the world; however, the growth patterns and their associated drivers vary between contexts. As a result, research has highlighted the need to adopt case study based approaches to stimulate the development of new theoretic understandings. Using land-cover data sets derived from Landsat images (30 m × 30 m, this research identifies both patterns and drivers of urban growth in a period (1991-2001 when a number of policy acts were enacted aimed at fostering smart growth in Brisbane, Australia. A linear multiple regression model was estimated using the proportion of lands that were converted from non-built-up (1991 to built-up usage (2001 within a suburb as a dependent variable to identify significant drivers of land-cover changes. In addition, the hot spot analysis was conducted to identify spatial biases of land-cover changes, if any. Results show that the built-up areas increased by 1.34% every year. About 19.56% of the non-built-up lands in 1991 were converted into built-up lands in 2001. This conversion pattern was significantly biased in the northernmost and southernmost suburbs in the city. This is due to the fact that, as evident from the regression analysis, these suburbs experienced a higher rate of population growth, and had the availability of habitable green field sites in relatively flat lands. The above findings suggest that the policy interventions undertaken between the periods were not as effective in promoting sustainable changes in the environment as they were aimed for.

  18. Analysis of West Virginia's graduated driver licensing program.

    Science.gov (United States)

    2012-12-01

    Motor vehicle collisions are the leading cause of death for individuals between the ages of 15-20 years old in the United States. Top safety concerns involving teen drivers include; safety belt use, impaired driving, and distracted driving. Rules tha...

  19. Calibrating and Validating a Simulation Model to Identify Drivers of Urban Land Cover Change in the Baltimore, MD Metropolitan Region

    Directory of Open Access Journals (Sweden)

    Claire Jantz

    2014-09-01

    Full Text Available We build upon much of the accumulated knowledge of the widely used SLEUTH urban land change model and offer advances. First, we use SLEUTH’s exclusion/attraction layer to identify and test different urban land cover change drivers; second, we leverage SLEUTH’s self-modification capability to incorporate a demographic model; and third, we develop a validation procedure to quantify the influence of land cover change drivers and assess uncertainty. We found that, contrary to our a priori expectations, new development is not attracted to areas serviced by existing or planned water and sewer infrastructure. However, information about where population and employment growth is likely to occur did improve model performance. These findings point to the dominant role of centrifugal forces in post-industrial cities like Baltimore, MD. We successfully developed a demographic model that allowed us to constrain the SLEUTH model forecasts and address uncertainty related to the dynamic relationship between changes in population and employment and urban land use. Finally, we emphasize the importance of model validation. In this work the validation procedure played a key role in rigorously assessing the impacts of different exclusion/attraction layers and in assessing uncertainty related to population and employment forecasts.

  20. Automobile Driver Fingerprinting

    Directory of Open Access Journals (Sweden)

    Enev Miro

    2016-01-01

    Full Text Available Today’s automobiles leverage powerful sensors and embedded computers to optimize efficiency, safety, and driver engagement. However the complexity of possible inferences using in-car sensor data is not well understood. While we do not know of attempts by automotive manufacturers or makers of after-market components (like insurance dongles to violate privacy, a key question we ask is: could they (or their collection and later accidental leaks of data violate a driver’s privacy? In the present study, we experimentally investigate the potential to identify individuals using sensor data snippets of their natural driving behavior. More specifically we record the in-vehicle sensor data on the controllerarea- network (CAN of a typical modern vehicle (popular 2009 sedan as each of 15 participants (a performed a series of maneuvers in an isolated parking lot, and (b drove the vehicle in traffic along a defined ~ 50 mile loop through the Seattle metropolitan area. We then split the data into training and testing sets, train an ensemble of classifiers, and evaluate identification accuracy of test data queries by looking at the highest voted candidate when considering all possible one-vs-one comparisons. Our results indicate that, at least among small sets, drivers are indeed distinguishable using only incar sensors. In particular, we find that it is possible to differentiate our 15 drivers with 100% accuracy when training with all of the available sensors using 90% of driving data from each person. Furthermore, it is possible to reach high identification rates using less than 8 minutes of training data. When more training data is available it is possible to reach very high identification using only a single sensor (e.g., the brake pedal. As an extension, we also demonstrate the feasibility of performing driver identification across multiple days of data collection

  1. Tracking progress in teenage driver crash risk in the United States since the advent of graduated driver licensing programs.

    Science.gov (United States)

    McCartt, Anne T; Teoh, Eric R

    2015-06-01

    This study examined U.S. teenagers' crash rates since 1996, when the first graduated driver licensing (GDL) program in the United State was implemented. Passenger vehicle driver crash involvement rates for 16-19 and 30-59 (middle-aged) year-olds were examined, using data from the Fatality Analysis Reporting System, National Automotive Sampling System General Estimates System, Census Bureau, and National Household Travel Surveys. Per capita fatal and police-reported crash rates in 2012 were lower for 16year-olds than for middle-aged drivers but older teenagers' rates were higher. Mileage-based fatal and police-reported crash rates in 2008 were higher for teenagers than for middle-aged drivers and higher for 16-17year-olds than for older teenagers. In 1996-2012, teenagers' per capita fatal and police-reported crash rates declined sharply, especially for 16-17year-olds, and more so than for middle-aged drivers. Substantial declines also occurred in teenagers' mileage-based fatal and police-reported crash rates from 1995-96 to 2008, generally more so than for middle-aged drivers. Regarding factors in fatal crashes in 1996 and 2012, proportions of young teenagers' crashes occurring at night and with multiple teenage passengers declined, more so than among older teenagers and middle-aged drivers. The proportion of fatally injured drivers who had been drinking declined for teenagers but changed little for middle-aged drivers. Improvements were not apparent in rates of driver errors or speeding among teenage drivers in fatal crashes. Teenage drivers' crash risk dropped during the period of implementation of GDL laws, especially fatal crash types targeted by GDL. However, teenagers' crash risk remains high, and important crash factors remain unaddressed by GDL. Although this study was not designed to examine the role of GDL, the results are consistent with the increased presence of such laws. More gains are achievable if states strengthen their laws. Copyright © 2015

  2. Incidence of lung cancer among subway drivers in Stockholm.

    Science.gov (United States)

    Gustavsson, Per; Bigert, Carolina; Pollán, Marina

    2008-07-01

    Very high levels of airborne particles have been detected in the subway system in Stockholm. Subway particles are more toxic to DNA in cultured human lung cells than particles from ambient air. This cohort comprised all men in Stockholm County who were gainfully employed in 1970. They were followed for cancer incidence until 1989. Lung cancer cases were identified from the national cancer register. Subway drivers were identified from the census in 1970. The reference cohort comprised all transport and communication workers in Stockholm. There were nine cases of lung cancer among the subway drivers, giving a SIR of 0.82 (95% confidence interval 0.38-1.56). The lung cancer incidence was not increased among the subway drivers. The study gives some evidence against the hypothesis that subway particles would be more potent in inducing lung cancer than particles in ambient air. (c) 2008 Wiley-Liss, Inc.

  3. The Role of Interaction Patterns with Hybrid Electric Vehicle Eco-Features for Drivers' Eco-Driving Performance.

    Science.gov (United States)

    Arend, Matthias G; Franke, Thomas

    2017-03-01

    The objective of the present research was to understand drivers' interaction patterns with hybrid electric vehicles' (HEV) eco-features (electric propulsion, regenerative braking, neutral mode) and their relationship to fuel efficiency and driver characteristics (technical system knowledge, eco-driving motivation). Eco-driving (driving behaviors performed to achieve higher fuel efficiency) has the potential to reduce CO 2 emissions caused by road vehicles. Eco-driving in HEVs is particularly challenging due to the systems' dynamic energy flows. As a result, drivers are likely to show diverse eco-driving behaviors, depending on factors like knowledge and motivation. The eco-features represent an interface for the control of the systems' energy flows. A sample of 121 HEV drivers who had constantly logged their fuel consumption prior to the study participated in an online questionnaire. Drivers' interaction patterns with the eco-features were related to fuel efficiency. A common factor was identified in an exploratory factor analysis, characterizing the intensity of actively dealing with electric energy, which was also related to fuel efficiency. Driver characteristics were not related to this factor, yet they were significant predictors of fuel efficiency. From the perspective of user-energy interaction, the relationship of the aggregated factor to fuel efficiency emphasizes the central role of drivers' perception of and interaction with energy conversions in determining HEV eco-driving success. To arrive at an in-depth understanding of drivers' eco-driving behaviors that can guide interface design, authors of future research should be concerned with the psychological processes that underlie drivers' interaction patterns with eco-features.

  4. The effects of texting on driving performance in a driving simulator: the influence of driver age.

    Science.gov (United States)

    Rumschlag, Gordon; Palumbo, Theresa; Martin, Amber; Head, Doreen; George, Rajiv; Commissaris, Randall L

    2015-01-01

    Distracted driving is a significant contributor to motor vehicle accidents and fatalities, and texting is a particularly significant form of driver distraction that continues to be on the rise. The present study examined the influence of driver age (18-59 years old) and other factors on the disruptive effects of texting on simulated driving behavior. While 'driving' the simulator, subjects were engaged in a series of brief text conversations with a member of the research team. The primary dependent variable was the occurrence of Lane Excursions (defined as any time the center of the vehicle moved outside the directed driving lane, e.g., into the lane for oncoming traffic or onto the shoulder of the road), measured as (1) the percent of subjects that exhibited Lane Excursions, (2) the number of Lane Excursions occurring and (3) the percent of the texting time in Lane Excursions. Multiple Regression analyses were used to assess the influence of several factors on driving performance while texting, including text task duration, texting skill level (subject-reported), texting history (#texts/week), driver gender and driver age. Lane Excursions were not observed in the absence of texting, but 66% of subjects overall exhibited Lane Excursions while texting. Multiple Regression analysis for all subjects (N=50) revealed that text task duration was significantly correlated with the number of Lane Excursions, and texting skill level and driver age were significantly correlated with the percent of subjects exhibiting Lane Excursions. Driver gender was not significantly correlated with Lane Excursions during texting. Multiple Regression analysis of only highly skilled texters (N=27) revealed that driver age was significantly correlated with the number of Lane Excursions, the percent of subjects exhibiting Lane Excursions and the percent of texting time in Lane Excursions. In contrast, Multiple Regression analysis of those drivers who self-identified as not highly skilled

  5. Refueling Behavior of Flexible Fuel Vehicle Drivers in the Federal Fleet

    Energy Technology Data Exchange (ETDEWEB)

    Daley, R.; Nangle, J.; Boeckman, G.; Miller, M.

    2014-05-01

    Federal fleets are a frequent subject of legislative and executive efforts to lead a national transition to alternative fuels and advanced vehicle technologies. Section 701 of the Energy Policy Act of 2005 requires that all dual-fueled alternative fuel vehicles in the federal fleet be operated on alternative fuel 100% of the time when they have access to it. However, in Fiscal Year (FY) 2012, drivers of federal flex fuel vehicles (FFV) leased through the General Services Administration refueled with E85 24% of the time when it was available--falling well short of the mandate. The U.S. Department of Energy's National Renewable Energy Laboratory completed a 2-year Laboratory Directed Research and Development project to identify the factors that influence the refueling behavior of federal FFV drivers. The project began with two primary hypotheses. First, information scarcity increases the tendency to miss opportunities to purchase E85. Second, even with perfect information, there are limits to how far drivers will go out of their way to purchase E85. This paper discusses the results of the project, which included a June 2012 survey of federal fleet drivers and an empirical analysis of actual refueling behavior from FY 2009 to 2012. This research will aid in the design and implementation of intervention programs aimed at increasing alternative fuel use and reducing petroleum consumption.

  6. Review on identification study of driver behavior intention and characteristics

    Directory of Open Access Journals (Sweden)

    Gang LI

    2017-08-01

    Full Text Available In order to better improve vehicle active safety and realize personalized driving, aiming at the problem of the identification of driver behavior intention and characteristics, the electronic control systems' important role in the automobile and the importance of the driver behavior intention and characteristic identification are discussed. The relative domestic and foreign research is summarized, and the prospect is put forward. In order to improve the performance of automobile electronic control system and realize the intelligent control for the cars, the identification of driver behavior intention and characteristics needs to be studied. How to rationally classify and on-line identify drivers' characteristics correctly for the steering, braking and acceleration characteristics is a long term research topic.

  7. Drivers and Risk Factors of Unplanned 30-Day Readmission Following Spinal Cord Stimulator Implantation.

    Science.gov (United States)

    Elsamadicy, Aladine A; Sergesketter, Amanda; Ren, Xinru; Mohammed Qasim Hussaini, Syed; Laarakker, Avra; Rahimpour, Shervin; Ejikeme, Tiffany; Yang, Siyun; Pagadala, Promila; Parente, Beth; Xie, Jichun; Lad, Shivanand P

    2018-01-01

    Unplanned 30-day readmission rates contribute significantly to growing national healthcare expenditures. Drivers of unplanned 30-day readmission after spinal cord stimulator (SCS) implantation are relatively unknown. The aim of this study was to determine drivers of 30-day unplanned readmission following SCS implantation. The National Readmission Database was queried to identify all patients who underwent SCS implantation for the 2013 calendar year. Patients were grouped by readmission status, "No Readmission" and "Unplanned 30-day Readmission." Patient demographics and comorbidities were collected for each patient. The primary outcome of interest was the rate of unplanned 30-day readmissions and associated driving factors. A multivariate analysis was used to determine independent predictors of unplanned 30-day readmission after SCS implantation. We identified 1521 patients who underwent SCS implantation, with 113 (7.4%) experiencing an unplanned readmission within 30 days. Baseline patient demographics, comorbidities, and hospital characteristics were similar between both cohorts. The three main drivers for 30-day readmission after SCS implantation include: 1) infection (not related to SCS device), 2) infection due to device (limited to only hardware infection), and 3) mechanical complication of SCS device. Furthermore, obesity was found to be an independent predictor of 30-day readmission (OR: 1.86, p = 0.008). Our study suggests that infectious and mechanical complications are the primary drivers of unplanned 30-day readmission after SCS implantation, with obesity as an independent predictor of unplanned readmission. Given the technological advancements in SCS, repeated studies are necessary to identify factors associated with unplanned 30-day readmission rates after SCS implantation to improve patient outcomes and reduce associated costs. © 2017 International Neuromodulation Society.

  8. Main drivers of health expenditure growth in China: a decomposition analysis.

    Science.gov (United States)

    Zhai, Tiemin; Goss, John; Li, Jinjing

    2017-03-09

    In past two decades, health expenditure in China grew at a rate of 11.6% per year, which is much faster than the growth of the country's economy (9.9% per year). As cost containment is a key aspect of China's new health system reform agenda, this study aims to identify the main drivers of past growth so that cost containment policies are focussed in the right areas. The analysis covered the period 1993-2012. To understand the drivers of past growth during this period, Das Gupta's decomposition method was used to decompose the changes in health expenditure by disease into five main components that include population growth, population ageing, disease prevalence rate, expenditure per case of disease, and excess health price inflation. Demographic data on population size and age-composition were obtained from the Department of Economic and Social Affairs of the United Nations. Age- and disease- specific expenditure and prevalence rates by age and disease were extracted from China's National Health Accounts studies and Global Burden of Disease 2013 studies of the Institute for Health Metrics and Evaluation, respectively. Growth in health expenditure in China was mainly driven by a rapid increase in real expenditure per prevalent case, which contributed 8.4 percentage points of the 11.6% annual average growth. Excess health price inflation and population growth contributed 1.3 and 1.3% respectively. The effect of population ageing was relatively small, contributing 0.8% per year. However, reductions in disease prevalence rates reduced the growth rate by 0.3 percentage points. Future policy in optimising growth in health expenditure in China should address growth in expenditure per prevalent case. This is especially so for neoplasms, and for circulatory and respiratory disease. And a focus on effective interventions to reduce the prevalence of disease in the country will ensure that changing disease rates do not lead to a higher growth in future health expenditure

  9. [The ability of drivers to give first aid--testing by questionnaire].

    Science.gov (United States)

    Goniewicz, M

    1998-01-01

    Road accidents have become a serious social problem. The scale and complexity of this problem shows clearly that there is a necessity to improve citizens' ability to give first aid which is especially essential in the case of drivers. Thus special training how to give first aid at the accident place seems to be of the primary importance. The objective of this paper is to: 1) identify to what extent the drivers of motor vehicles are prepared to provide first aid for casualties of the road accidents, 2) evaluate the training system of teaching motorists how to give first aid before professional help arrives, 3) identify drivers' views on possibilities of decreasing the number of fatal casualties of the road accidents. The questionnaire was given to 560 employees of local government institutions in the city of Lublin either professional or non-professional drivers. The direct method and anonymous questionnaire were used. The results of the questionnaire revealed clearly that very few drivers are well-prepared to give proper first aid at the accident site. No matter what sex, education or driving experience, the drivers have not got enough skills to give first aid and the effect is enhanced by various psychological barriers. The questioned drivers shared the opinion that first aid training is badly run. The drivers stressed bad quality of the training and the fact that it is impossible to acquire practical skills that may be required in the case of emergency. Drivers' views on possibilities of decreasing the number of fatal casualties of the road accidents included, among others, the following propositions: in addition to the driving licence exam first aid exam should be compulsory severe enforcement and execution of the law which regulates the mandatory first aid giving.

  10. Identification of drivers for modular production

    DEFF Research Database (Denmark)

    Brunoe, Thomas Ditlev; Bossen, Jacob; Nielsen, Kjeld

    2015-01-01

    Todays competitive environment in industry creates a need for companies to enhance their ability to introduce new products faster. To increase rampup speed reconfigurable manufacturing systems is a promising concept, however to implement this production platforms and modular manufacturing...... is required. This paper presents an analysis whether and which module drivers from general product development can be applied to the development process of a modular manufacturing system. The result is a compiled list of modular drivers for manufacturing and examples of their use....

  11. Analysis Of Traffic Conditions Based On The Percentage Of Drivers Using The Instructions Displayed On VMS Boards

    Directory of Open Access Journals (Sweden)

    Leszek Smolarek

    2015-09-01

    Full Text Available The theme of the publication is to show the influence of human factor on traffic conditions during the traffic incident. The publication also depicts the functionality of the model at which the simulation was performed. The model was constructed in the VISSIM and VISUM software also using Visual Basic for Applications – Excel, [8,9]. By coordinating programs VBA and VISSIM was automated turned on or off the incident as well as turned on or off the VMS with information about the proposed of the alternative route. The additional differentiation of the percentage of drivers using the information displayed enabled to compare the data with identical external conditions influencing at traffic. For statistical analysis of data was used statistical program Statgraphics Centurion which made possible to build a model describing the impact of the behavior of drivers on traffic conditions. It is an innovative approach to modeling the impact on traffic conditions accepted by drivers information transmitted on the boards.

  12. Sensorimotor and postural control factors associated with driving safety in a community-dwelling older driver population.

    Science.gov (United States)

    Lacherez, Philippe; Wood, Joanne M; Anstey, Kaarin J; Lord, Stephen R

    2014-02-01

    To establish whether sensorimotor function and balance are associated with on-road driving performance in older adults. The performance of 270 community-living adults aged 70-88 years recruited via the electoral roll was measured on a battery of peripheral sensation, strength, flexibility, reaction time, and balance tests and on a standardized measure of on-road driving performance. Forty-seven participants (17.4%) were classified as unsafe based on their driving assessment. Unsafe driving was associated with reduced peripheral sensation, lower limb weakness, reduced neck range of motion, slow reaction time, and poor balance in univariate analyses. Multivariate logistic regression analysis identified poor vibration sensitivity, reduced quadriceps strength, and increased sway on a foam surface with eyes closed as significant and independent risk factors for unsafe driving. These variables classified participants into safe and unsafe drivers with a sensitivity of 74% and specificity of 70%. A number of sensorimotor and balance measures were associated with driver safety and the multivariate model comprising measures of sensation, strength, and balance was highly predictive of unsafe driving in this sample. These findings highlight important determinants of driver safety and may assist in developing efficacious driver safety strategies for older drivers.

  13. Finding cancer driver mutations in the era of big data research.

    Science.gov (United States)

    Poulos, Rebecca C; Wong, Jason W H

    2018-04-02

    In the last decade, the costs of genome sequencing have decreased considerably. The commencement of large-scale cancer sequencing projects has enabled cancer genomics to join the big data revolution. One of the challenges still facing cancer genomics research is determining which are the driver mutations in an individual cancer, as these contribute only a small subset of the overall mutation profile of a tumour. Focusing primarily on somatic single nucleotide mutations in this review, we consider both coding and non-coding driver mutations, and discuss how such mutations might be identified from cancer sequencing datasets. We describe some of the tools and database that are available for the annotation of somatic variants and the identification of cancer driver genes. We also address the use of genome-wide variation in mutation load to establish background mutation rates from which to identify driver mutations under positive selection. Finally, we describe the ways in which mutational signatures can act as clues for the identification of cancer drivers, as these mutations may cause, or arise from, certain mutational processes. By defining the molecular changes responsible for driving cancer development, new cancer treatment strategies may be developed or novel preventative measures proposed.

  14. A novel framework for improvement of road accidents considering decision-making styles of drivers in a large metropolitan area.

    Science.gov (United States)

    Azadeh, Ali; Zarrin, Mansour; Hamid, Mehdi

    2016-02-01

    Road accidents can be caused by different factors such as human factors. Quality of the decision-making process of drivers could have a considerable impact on preventing disasters. The main objective of this study is the analysis of factors affecting road accidents by considering the severity of accidents and decision-making styles of drivers. To this end, a novel framework is proposed based on data envelopment analysis (DEA) and statistical methods (SMs) to assess the factors affecting road accidents. In this study, for the first time, dominant decision-making styles of drivers with respect to severity of injuries are identified. To show the applicability of the proposed framework, this research employs actual data of more than 500 samples in Tehran, Iran. The empirical results indicate that the flexible decision style is the dominant style for both minor and severe levels of accident injuries. Copyright © 2015 Elsevier Ltd. All rights reserved.

  15. Look-ahead driver feedback and powertrain management

    Energy Technology Data Exchange (ETDEWEB)

    Verma, Rajeev [Eaton Corporation, Menomonee Falls, WI (United States)

    2014-12-31

    Commercial medium and heavy vehicles, though only a small portion of total vehicle population, play a significant role in energy consumption. In 2012, these vehicles accounted for about 5775.5 trillion btu of energy consumption and 408.8 million tons of CO2 emissions annually, which is a quarter of the total energy burden of highway transportation in the United States [1]. This number is expected to surpass passenger car fuel use within the next few decades. In the meantime, most commercial vehicle fleets are running at a very low profit margin. It is a well known fact that fuel economy can vary significantly between drivers, even when they operate the same vehicle on the same route. According to the US Environmental Protection Agency (EPA) and Natural Resource Canada (NRCan), there is up to 35% fuel economy difference between drivers within the same commercial fleet [2] [3], [4]. Similar results were obtained from a Field Operation Test conducted by Eaton Corporation [5]. During this test as much as 30% fuel economy difference was observed among pick-up-and-delivery drivers and 11% difference was observed among line-haul drivers. The driver variability can be attributed to the fact that different drivers react differently to driving conditions such as road grade, traffic, speed limits, etc. For instance, analysis of over 600k miles of naturalistic heavy duty truck driving data [5] indicates that an experienced driver anticipates a downhill and eases up on the throttle to save fuel while an inexperienced driver lacks this judgment.

  16. "Good Passengers and Not Good Passengers:" Adolescent Drivers' Perceptions About Inattention and Peer Passengers.

    Science.gov (United States)

    McDonald, Catherine C; Sommers, Marilyn S

    The purpose of this qualitative focus group elicitation research study was to explore teen driver perceptions of peer passengers and driver inattention. We utilized focus groups for data collection and content analysis to analyze the data, both of which were guided by the theory of planned behavior. We conducted 7 focus groups with 30 teens, ages 16-18, licensed for ≤1year to examine attitudes, perceived behavioral control, and norms related to driving inattention and peer passengers. The sample was 50% male, mean age 17.39 (SD 0.52) with mean length of licensure 173.7days (SD 109.2). Three themes emerged: 1) "Good and not good" passengers; 2) Passengers and technology as harmful and helpful; and 3) The driver is in charge. While passengers can be a source of distraction, our participants also identified passenger behaviors that reduced risk, such as assistance with technology and guidance for directions. An understanding of teens' perceptions of peer passengers can contribute to the development of effective interventions targeting teen driver inattention. Nurses are well-positioned to contribute to these teen crash prevention efforts. Copyright © 2016 Elsevier Inc. All rights reserved.

  17. Sensory profile and drivers of liking for grape nectar among smoker and nonsmoker consumers

    Directory of Open Access Journals (Sweden)

    Cristiane Ramos Voorpostel

    2014-03-01

    Full Text Available Decreased gustatory and olfactory capacity is one of the problems caused by tobacco use. The objectives of this study were to determine the sensory profile of six grape nectar samples sweetened with different sweeteners and to verify the drivers of liking in two distinct consumer groups: smokers and nonsmokers. The sensory profile was constructed by twelve trained panelists using quantitative descriptive analysis (QDA. Consumer tests were performed with 112 smokers and 112 nonsmokers. Partial least squares regression analyses was used to identify the drivers of acceptance and rejection of the grape nectars among the two consumer groups. According to the QDA, the samples differed regarding six of the nineteen attributes generated. The absolute averages of the affective test were lower in the group of smokers; possibly because smoking influences acceptance and eating preferences, especially with regard to sweet foods. The results showed that the grape flavor was the major driver of preference for acceptance of the nectar, while astringency, wine aroma, bitterness and sweetness, and bitter aftertaste were drivers of rejection in the two groups of consumers, with some differences between the groups.

  18. EMPIRICAL ANALYSIS OF THE ROLE OF THE FIRMS’ VALUE DRIVERS

    Directory of Open Access Journals (Sweden)

    Anita KISS

    2015-12-01

    Full Text Available This paper focuses on the value creation and the value drivers. One of the objectives of this paper is to present the concept of maximizing shareholder value. The main goal is to categorize the most important value drivers, and their role of the firms’ value. This study proceeds as follows. The first section presents the value chain, the primary and the support activities. The second part describes the theoretical background of maximizing shareholder value. The third part illustrates the key value drivers. The fourth empirical section of the study analyses the database featuring data from 18 European countries, 10 sectors and 1553 firms in the period between 2004 and 2011. Finally, the fifth section includes concluding remarks. Based on the related literature reviewed and in the conducted empirical research it can be assessed that, the EBIT, reinvestment, invested capital, the return on invested capital, the net margin and the sales growth rate all have a positive effect on firm value, while the tax rate and the market value of return on asset (MROA has a negative one.

  19. Drivers of Sales Performance: A Contemporary Meta-Analysis

    NARCIS (Netherlands)

    W.J.M.I. Verbeke (Willem); H.M.S. Dietz (Bart); E. Verwaal (Ernst)

    2010-01-01

    textabstractIt has been twenty-five years since the publication of a comprehensive review of the full spectrum of sales-performance drivers. This study takes stock of the contemporary field and synthesizes empirical evidence from the period 1982–2008. The authors revise the classification scheme for

  20. Drivers of Corporate Social Responsibility (CSR) in Family Businesses

    OpenAIRE

    Mengel, Niklas

    2016-01-01

    This thesis analyzed the Drivers and Implementation Approaches of Corporate Social Responsibility (CSR) in Family Businesses. Qualitative Analysis based on Semi-Structured Interviews was conducted in the region of Southern Lower Saxony and later on quantified through category-based Content Analysis. The results suggest that Drivers of CSR can be divided into value-based and strategic, and Implementation Approaches into informal and formal. Family Businesses are more likely to be driven by val...

  1. A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms.

    Science.gov (United States)

    Meiring, Gys Albertus Marthinus; Myburgh, Hermanus Carel

    2015-12-04

    In this paper the various driving style analysis solutions are investigated. An in-depth investigation is performed to identify the relevant machine learning and artificial intelligence algorithms utilised in current driver behaviour and driving style analysis systems. This review therefore serves as a trove of information, and will inform the specialist and the student regarding the current state of the art in driver style analysis systems, the application of these systems and the underlying artificial intelligence algorithms applied to these applications. The aim of the investigation is to evaluate the possibilities for unique driver identification utilizing the approaches identified in other driver behaviour studies. It was found that Fuzzy Logic inference systems, Hidden Markov Models and Support Vector Machines consist of promising capabilities to address unique driver identification algorithms if model complexity can be reduced.

  2. A study on the effects of fatigue driving and drunk driving on drivers' physical characteristics.

    Science.gov (United States)

    Zhang, Xingjian; Zhao, Xiaohua; Du, Hongji; Rong, Jian

    2014-01-01

    The purpose of this study was to analyze the effects of fatigue driving and drunk driving on drivers' physical characteristics; to analyze the differences in drivers' physical characteristics affected by different kinds of fatigue; and to compare the differences in the effects of the 2 driving states, fatigue driving and drunk driving. Twenty-five participants' physical characteristics were collected under 5 controlled situations: normal, tired driving, drowsy driving, drowsiness + tired driving, and drunk driving. In this article, fatigue driving refers to tiredness and drowsiness and includes 3 situations: tired driving, drowsy driving, and drowsiness + tired driving. The drivers' physical characteristics were measured in terms of 9 parameters: systolic blood pressure (SBP), heart rate (HR), eyesight, dynamic visual acuity (DVA), time for dark adaption (TDA), reaction time to sound (RTS), reaction time to light (RTL), deviation of depth perception (DDP), and time deviation of speed anticipation (TDSA). They were analyzed using analysis of variance (ANOVA) with repeated measures. Binary logistical regression analysis was used to explain the relationship between drivers' physical characteristics and the two driving states. Most of the drivers' physical characteristic parameters were found to be significantly different under the influence of different situations. Four indicators are significantly affected by fatigue driving during deep fatigue (in decreasing order of influence): HR, RTL, SBP and RTS. HR and RTL are significant in the logistical regression model of the drowsiness + tired driving situation and normal situations. Six indicators of the drivers' physical characteristics are significantly affected by drunk driving (in decreasing order of influence): SBP, RTL, DDP, eyesight, RTS, and TDSA. SBP and DDP have a significant effect in the logistical regression model of the drunk driving situation and the normal situation. Both fatigue driving and drunk driving

  3. Long-term changes in CO2 emissions in Austria and Czechoslovakia-Identifying the drivers of environmental pressures

    International Nuclear Information System (INIS)

    Gingrich, Simone; Kuskova, Petra; Steinberger, Julia K.

    2011-01-01

    This study presents fossil-fuel related CO 2 emissions in Austria and Czechoslovakia (current Czech Republic and Slovakia) for 1830-2000. The drivers of CO 2 emissions are discussed by investigating the variables of the standard Kaya identity for 1920-2000 and conducting a comparative Index Decomposition Analysis. Proxy data on industrial production and household consumption are analysed to understand the role of the economic structure. CO 2 emissions increased in both countries in the long run. Czechoslovakia was a stronger emitter of CO 2 throughout the time period, but per-capita emissions significantly differed only after World War I, when Czechoslovakia and Austria became independent. The difference in CO 2 emissions increased until the mid-1980s (the period of communism in Czechoslovakia), explained by the energy intensity and the composition effects, and higher industrial production in Czechoslovakia. Counterbalancing factors were the income effect and household consumption. After the Velvet revolution in 1990, Czechoslovak CO 2 emissions decreased, and the energy composition effect (and industrial production) lost importance. Despite their different political and economic development, Austria and Czechoslovakia reached similar levels of per-capita CO 2 emissions in the late 20th century. Neither Austrian 'eco-efficiency' nor Czechoslovak restructuring have been effective in reducing CO 2 emissions to a sustainable level. - Research Highlights: →CO 2 emissions in Austria and Czechoslovakia increased during industrialisation. →The differences were strongest during periods of different political regimes. →The main drivers for differences were energy composition and energy intensity.

  4. Psychosocial characteristics of drunk drivers assessed by the Addiction Severity Index, prediction of relapse.

    Science.gov (United States)

    Hubicka, Beata; Laurell, Hans; Bergman, Hans

    2010-02-01

    To investigate psychosocial characteristics and problems of a representative sample of Swedish drunk drivers with special consideration of the gender of the driver; analyze criminal records of the drivers before and after enrollment in the study; identify psychosocial predictors of relapse to drunk driving. Psychosocial characteristics were assessed by the Addiction Severity Index (ASI). Alcohol problems were additionally assessed by the Alcohol Use Disorders Identification Test (AUDIT). Criminal records were collected for the five year period before the enrollment, and for the subsequent two years, from Sweden's official crime statistics. About half of the investigated drivers had other psychosocial problems besides the drink driving offence. Female drivers had more alcohol, drug, psychiatric and relational problems, including with parents when growing up, than male drivers, but less previous and subsequent criminality. Heavily drunk drivers (blood alcohol concentration > or = 0.1%) had more problems with alcohol, legal status and employment and support than the other drunk drivers. Problems with legal status, family and social relations and alcohol use increased the risk of relapse in drunk driving, while medical problems seemed to be a protective factor. Different ASI risk factors were identified for relapse in either traffic offences or other crimes. As well as the drunk driving offence, drunk drivers often have other psychosocial problems, female drivers in particular. Already the blood alcohol concentration per se gives some indication of the psychosocial problem profile of a drunk driver and the ASI profile has some prognostic value for relapse in drunk driving.

  5. Should I Text or Call Here? A Situation-Based Analysis of Drivers' Perceived Likelihood of Engaging in Mobile Phone Multitasking.

    Science.gov (United States)

    Oviedo-Trespalacios, Oscar; Haque, Md Mazharul; King, Mark; Washington, Simon

    2018-05-29

    This study investigated how situational characteristics typically encountered in the transport system influence drivers' perceived likelihood of engaging in mobile phone multitasking. The impacts of mobile phone tasks, perceived environmental complexity/risk, and drivers' individual differences were evaluated as relevant individual predictors within the behavioral adaptation framework. An innovative questionnaire, which includes randomized textual and visual scenarios, was administered to collect data from a sample of 447 drivers in South East Queensland-Australia (66% females; n = 296). The likelihood of engaging in a mobile phone task across various scenarios was modeled by a random parameters ordered probit model. Results indicated that drivers who are female, are frequent users of phones for texting/answering calls, have less favorable attitudes towards safety, and are highly disinhibited were more likely to report stronger intentions of engaging in mobile phone multitasking. However, more years with a valid driving license, self-efficacy toward self-regulation in demanding traffic conditions and police enforcement, texting tasks, and demanding traffic conditions were negatively related to self-reported likelihood of mobile phone multitasking. The unobserved heterogeneity warned of riskier groups among female drivers and participants who need a lot of convincing to believe that multitasking while driving is dangerous. This research concludes that behavioral adaptation theory is a robust framework explaining self-regulation of distracted drivers. © 2018 Society for Risk Analysis.

  6. Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis

    International Nuclear Information System (INIS)

    Zeng, Lin; Xu, Ming; Liang, Sai; Zeng, Siyu; Zhang, Tianzhu

    2014-01-01

    The decline of China's energy intensity slowed since 2000. During 2002–2005 it actually increased, reversing the long-term trend. Therefore, it is important to identify drivers of the fluctuation of energy intensity. We use input–output structural decomposition analysis to investigate the contributions of changes in energy mix, sectoral energy efficiency, production structure, final demand structure, and final demand category composition to China's energy intensity fluctuation during 1997–2007. We include household energy consumption in the study by closing the input–output model with respect to households. Results show that sectoral energy efficiency improvements contribute the most to the energy intensity decline during 1997–2007. The increase in China's energy intensity during 2002–2007 is instead explained by changes in final demand composition and production structure. Changes in final demand composition are mainly due to increasing share of exports, while changes in production structure mainly arise from the shift of Chinese economy to more energy-intensive industries. Changes in energy mix and final demand structure contribute little to China's energy intensity fluctuation. From the consumption perspective, growing exports of energy-intensive products and increasing infrastructure demands explain the majority of energy intensity increase during 2002–2007. - Highlights: • We analyzed energy intensity change from production and consumption perspectives. • We extended the research scope of energy intensity to cover household consumption. • Sectoral energy efficiency improvement contributed most to energy intensity decline. • Impact of production structure change on energy intensity varied at different times. • Growing export demand newly became main driver of China's energy intensity increase

  7. Safety climate and the distracted driving experiences of truck drivers.

    Science.gov (United States)

    Swedler, David I; Pollack, Keshia M; Agnew, Jacqueline

    2015-07-01

    For truck drivers, distracted driving is a workplace behavior that increases occupational injury risk. We propose safety climate as an appropriate lens through which researchers can examine occupational distracted driving. Using a mixed methods study design, we surveyed truck drivers using the Safety Climate Questionnaire (SCQ) complemented by semi-structured interviews of experts on distracted driving and truck safety. Safety climate was assessed by using the entire SCQ as an overall climate score, followed by factor analysis that identified the following safety climate factors: Communications and Procedures; Management Commitment; and Work Pressure. In multivariate regression, the overall safety climate scale was associated with having ever experienced a crash and/or distraction-involved swerving. Interview participants described how these SCQ constructs could affect occupational distracted driving. To reduce distraction-related crashes in their organizations, management can adhere to safe policies and procedures, invest in engineering controls, and develop safer communication procedures. © 2015 Wiley Periodicals, Inc.

  8. Drivers of sustained hygiene behaviour change: A case study from mid-western Nepal.

    Science.gov (United States)

    McMichael, Celia; Robinson, Priscilla

    2016-08-01

    Behaviour change is central to the prevention of many population health problems, yet it is typically difficult to initiate and sustain. This paper reports on an evaluation of a water, sanitation and hygiene (WASH) intervention in mid-western Nepal, with particular focus on the drivers and barriers for handwashing with soap/ash and elimination of open defecation. The research was conducted during October-November 2014, two and half years following the intervention's end-point. Qualitative data were collected from the target community (n = 112) via group discussions, interviews and drawings/stories of 'most significant change'. Households' handwashing/water facilities and toilets were observed. Analysis was informed by a model that highlights environmental, psychosocial and technological factors that shape hygiene behaviours across multiple levels, from the habitual to the structural (Dreibelbis et al. 2013). Findings indicate the intervention has supported development of new norms around hygiene behaviours. Key drivers of sustained hygiene behaviour were habit formation, emotional drivers (e.g. disgust, affiliation), and collective action and civic pride; key constraints included water scarcity and socio-economic disadvantage. Identifying and responding to the drivers and constraints of hygiene behaviour change in specific contexts is critical to sustained behaviour change and population health impact. Copyright © 2016 Elsevier Ltd. All rights reserved.

  9. Drivers for renewable energy: A comparison among OECD countries

    International Nuclear Information System (INIS)

    Gan, Jianbang; Smith, C.T.

    2011-01-01

    The difference in the shares of renewable energy in total primary energy supply among OECD countries is immense. We attempt to identify some key factors that may have driven this difference for renewable energy in general and bioenergy in particular. We found that besides country-specific factors, gross national product (GDP) and renewable energy and bioenergy market deployment policies have significant and positive impacts on the per capita supply of both renewable energy and bioenergy in OECD countries. R and D expenditures, energy prices, CO 2 emissions, and other energy policies are statistically insignificant in terms of their impact on renewable energy and bioenergy supply. However, this does not necessarily mean that they are not potential drivers for renewable energy and bioenergy, but rather suggests that their magnitudes have not been big enough to significantly influence energy supply based on the historical data from 1994 to 2003. These findings lead to useful policy implications for countries attempting to promote renewable energy and bioenergy development. -- Highlights: ► We identify the drivers of renewable energy development in OECD countries. ► Common drivers include GDP per capita and market deployment policies. ► Country-specific drivers reveal different pathways for bioenergy development.

  10. An assessment of deforestation and forest degradation drivers in developing countries

    International Nuclear Information System (INIS)

    Hosonuma, Noriko; Herold, Martin; De Sy, Veronique; De Fries, Ruth S; Brockhaus, Maria; Verchot, Louis; Angelsen, Arild; Romijn, Erika

    2012-01-01

    Countries are encouraged to identify drivers of deforestation and forest degradation in the development of national strategies and action plans for REDD+. In this letter we provide an assessment of proximate drivers of deforestation and forest degradation by synthesizing empirical data reported by countries as part of their REDD+ readiness activities, CIFOR country profiles, UNFCCC national communications and scientific literature. Based on deforestation rate and remaining forest cover 100 (sub)tropical non-Annex I countries were grouped into four forest transition phases. Driver data of 46 countries were summarized for each phase and by continent, and were used as a proxy to estimate drivers for the countries with missing data. The deforestation drivers are similar in Africa and Asia, while degradation drivers are more similar in Latin America and Asia. Commercial agriculture is the most important driver of deforestation, followed by subsistence agriculture. Timber extraction and logging drives most of the degradation, followed by fuelwood collection and charcoal production, uncontrolled fire and livestock grazing. The results reflect the most up to date and comprehensive overview of current national-level data availability on drivers, which is expected to improve over time within the frame of the UNFCCC REDD+ process. (letter)

  11. Assessing older drivers: a primary care protocol to evaluate driving safety risk.

    Science.gov (United States)

    Murden, Robert A; Unroe, Kathleen

    2005-08-01

    Most articles on elder drivers offer either general advice, or review testing protocols that divide drivers into two distinct groups: safe or unsafe. We believe it is unreasonable to expect any testing to fully separate drivers into just these two mutually exclusive groups, so we offer a protocol for a more practical approach. This protocol can be applied by primary care physicians. We review the justification for the many steps of this protocol, which have branches that lead to identifying drivers as low risk, high risk (for accidents) or needing further evaluation. Options for further evaluation are provided.

  12. Analyzing the drivers of green manufacturing with fuzzy approach

    DEFF Research Database (Denmark)

    Govindan, Kannan; Diabat, Ali; Madan Shankar, K.

    2015-01-01

    India, and aided by their replies; a pair-wise comparison was made among the drivers. The pair-wise comparison is used as an input data and the drivers were analyzed on its basis. The analysis resorted to the use of a fuzzy Multi Criteria Decision Making (MCDM) approach. The obtained results...

  13. Exome sequencing of oral squamous cell carcinoma in users of Arabian snuff reveals novel candidates for driver genes.

    Science.gov (United States)

    Al-Hebshi, Nezar Noor; Li, Shiyong; Nasher, Akram Thabet; El-Setouhy, Maged; Alsanosi, Rashad; Blancato, Jan; Loffredo, Christopher

    2016-07-15

    The study sought to identify genetic aberrations driving oral squamous cell carcinoma (OSCC) development among users of shammah, an Arabian preparation of smokeless tobacco. Twenty archival OSCC samples, 15 of which with a history of shammah exposure, were whole-exome sequenced at an average depth of 127×. Somatic mutations were identified using a novel, matched controls-independent filtration algorithm. CODEX and Exomedepth coupled with a novel, Database of Genomic Variant-based filter were employed to call somatic gene-copy number variations. Significantly mutated genes were identified with Oncodrive FM and the Youn and Simon's method. Candidate driver genes were nominated based on Gene Set Enrichment Analysis. The observed mutational spectrum was similar to that reported by the TCGA project. In addition to confirming known genes of OSCC (TP53, CDKNA2, CASP8, PIK3CA, HRAS, FAT1, TP63, CCND1 and FADD) the analysis identified several candidate novel driver events including mutations of NOTCH3, CSMD3, CRB1, CLTCL1, OSMR and TRPM2, amplification of the proto-oncogenes FOSL1, RELA, TRAF6, MDM2, FRS2 and BAG1, and deletion of the recently described tumor suppressor SMARCC1. Analysis also revealed significantly altered pathways not previously implicated in OSCC including Oncostatin-M signalling pathway, AP-1 and C-MYB transcription networks and endocytosis. There was a trend for higher number of mutations, amplifications and driver events in samples with history of shammah exposure particularly those that tested EBV positive, suggesting an interaction between tobacco exposure and EBV. The work provides further evidence for the genetic heterogeneity of oral cancer and suggests shammah-associated OSCC is characterized by extensive amplification of oncogenes. © 2016 UICC.

  14. Drivers and moderators of business decline

    Directory of Open Access Journals (Sweden)

    Marius Pretorius

    2010-12-01

    Full Text Available Purpose: Reports of business failure elicit various reactions, while research in this domain often appears to be limited by a lack of access to information about failure and by the negativity that surrounds it. Those who have experienced failure do not readily talk about it, or they disappear from the radar screen of researchers. Yet failure is preceded by decline which, when focused on strategically, can reduce eventual failures if early action is taken. The main purpose of this study is to develop a conceptual framework or typology of the drivers and moderators of business decline. Design/methodology/approach: After applying the "grounded theory" approach to the academic literature on decline and failure, a conceptual framework for the variables that drive and moderate business decline is proposed. Findings: The study proposes that decline has three core drivers, three peripheral drivers and four moderators. The core drivers identified are: resource munificence; leadership as origin; and causality (strategic versus operational origin of decline. The three peripheral drivers are: unique preconditions; continuous decisions impact; and extremes dichotomy. The study describes four moderators of the drivers: life cycle stage; stakeholder perspective; quantitative versus qualitative nature of signs and causes; and finally the age and size effects. Research limitations/implications: The proposed conceptual framework is based on literature only, although it has found support during discussions with practitioners. It is proposed to readers of this journal for scrutiny and validation. Practical implications: Strategists need to understand what drives decline in order to act timeously; practitioners who have an insight into the moderators with their impacts could make better decisions in response to decline in organisations and possibly avoid business failure. Originality/Value: Understanding business decline is still a huge theoretical challenge, which

  15. Schoolbus driver performance can be improved with driver training ...

    African Journals Online (AJOL)

    and compares the school transport driver performance with that of general motorists. Despite concerns that ... To compare Safe Travel to School Programme driver safety perfor- .... The SA government has recognised the challenges faced with.

  16. Heavy-ion driver parametric studies and choice of a base 5 mega-joule driver design

    International Nuclear Information System (INIS)

    Bieri, R.; Meier, W.

    1992-01-01

    Parametric studies to optimize heavy-ion driver designs are described and an optimized 5 MJ driver design is described. Parametric studies are done on driver parameters including driver energy, number of beams, type of superconductor used in focusing magnets, maximum magnetic field allowed at the superconducting windings, axial quadrupole field packing fraction, ion mass, and ion charge state. All modeled drivers use the maximum beam currents allowed by the Maschke limits; driver scaling is described in a companion paper. The optimized driver described is conservative and cost effective. The base driver direct costs are only $120/Joule, and the base driver uses no recirculation, beam combination, or beam separation. The low driver cost achieved is due, in part, to the use of compact Nb 3 Sn quadrupole arrays, but results primarily from optimization over the large, multi-dimensional, parameter space available for heavy-ion drivers

  17. Modeling Crossing Behavior of Drivers at Unsignalized Intersections with Consideration of Risk Perception

    Directory of Open Access Journals (Sweden)

    Liu Miaomiao

    2016-01-01

    Full Text Available Drivers’ risk perception is vital to driving behavior and traffic safety. In the dynamic interaction of a driver-vehicle-environment system, drivers’ risk perception changes dynamically. This study focused on drivers’ risk perception at unsignalized intersections in China and analyzed drivers’ crossing behavior. Based on cognitive psychology theory and an adaptive neuro-fuzzy inference system, quantitative models of drivers’ risk perception were established for the crossing processes between two straight-moving vehicles from the orthogonal direction. The acceptable risk perception levels of drivers were identified using a self-developed data analysis method. Based on game theory, the relationship among the quantitative value of drivers’ risk perception, acceptable risk perception level, and vehicle motion state was analyzed. The models of drivers’ crossing behavior were then established. Finally, the behavior models were validated using data collected from real-world vehicle movements and driver decisions. The results showed that the developed behavior models had both high accuracy and good applicability. This study would provide theoretical and algorithmic references for the microscopic simulation and active safety control system of vehicles.

  18. Lane-changing model with dynamic consideration of driver's propensity

    Science.gov (United States)

    Wang, Xiaoyuan; Wang, Jianqiang; Zhang, Jinglei; Ban, Xuegang Jeff

    2015-07-01

    Lane-changing is the driver's selection result of the satisfaction degree in different lane driving conditions. There are many different factors influencing lane-changing behavior, such as diversity, randomicity and difficulty of measurement. So it is hard to accurately reflect the uncertainty of drivers' lane-changing behavior. As a result, the research of lane-changing models is behind that of car-following models. Driver's propensity is her/his emotion state or the corresponding preference of a decision or action toward the real objective traffic situations under the influence of various dynamic factors. It represents the psychological characteristics of the driver in the process of vehicle operation and movement. It is an important factor to influence lane-changing. In this paper, dynamic recognition of driver's propensity is considered during simulation based on its time-varying discipline and the analysis of the driver's psycho-physic characteristics. The Analytic Hierarchy Process (AHP) method is used to quantify the hierarchy of driver's dynamic lane-changing decision-making process, especially the influence of the propensity. The model is validated using real data. Test results show that the developed lane-changing model with the dynamic consideration of a driver's time-varying propensity and the AHP method are feasible and with improved accuracy.

  19. Environmental Drivers of NDVI-Based Vegetation Phenology in Central Asia

    Directory of Open Access Journals (Sweden)

    Jahan Kariyeva

    2011-02-01

    Full Text Available Through the application and use of geospatial data, this study aimed to detect and characterize some of the key environmental drivers contributing to landscape-scale vegetation response patterns in Central Asia. The objectives of the study were to identify the variables driving the year-to-year vegetation dynamics in three regional landscapes (desert, steppe, and mountainous; and to determine if the identified environmental drivers can be used to explain the spatial-temporal variability of these spatio-temporal dynamics over time. It was posed that patterns of change in terrestrial phenology, derived from the 8 km bi-weekly time series of Normalized Difference Vegetation Index (NDVI data acquired by the Advanced Very High Resolution Radiometer (AVHRR satellites (1981–2008, can be explained through a multi-scale analysis of a suite of environmental drivers. Multiple linear stepwise regression analyses were used to test the hypotheses and address the objectives of the study. The annually computed phenological response variables or pheno-metricstime (season start, season length, and an NDVI-based productivity metric were modeled as a function of ten environmental factors relating to soil, topography, and climate. Each of the three studied regional landscapes was shown to be governed by a distinctive suite of environmental drivers. The phenological responses of the steppe landscapes were affected by the year-to-year variation in temperature regimes. The phenology of the mountainous landscapes was influenced primarily by the elevation gradient. The phenological responses of desert landscapes were demonstrated to have the greatest variability over time and seemed to be affected by soil carbon content and year-to-year variation of both temperature regimes and winter precipitation patterns. Amounts and scales of observed phenological variability over time (measured through coefficient of variation for each pheno-metrictime in each of the regional

  20. A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms

    Directory of Open Access Journals (Sweden)

    Gys Albertus Marthinus Meiring

    2015-12-01

    Full Text Available In this paper the various driving style analysis solutions are investigated. An in-depth investigation is performed to identify the relevant machine learning and artificial intelligence algorithms utilised in current driver behaviour and driving style analysis systems. This review therefore serves as a trove of information, and will inform the specialist and the student regarding the current state of the art in driver style analysis systems, the application of these systems and the underlying artificial intelligence algorithms applied to these applications. The aim of the investigation is to evaluate the possibilities for unique driver identification utilizing the approaches identified in other driver behaviour studies. It was found that Fuzzy Logic inference systems, Hidden Markov Models and Support Vector Machines consist of promising capabilities to address unique driver identification algorithms if model complexity can be reduced.

  1. Obstructive sleep apnea among express bus drivers in Malaysia: important indicators for screening.

    Science.gov (United States)

    Yusoff, M Fadhli Mohd; Baki, Marina Mat; Mohamed, Norlen; Mohamed, A Sani; Yunus, M Razif Mohamad; Ami, Mazita; Othman, Ilhamah; Ishak, Azlan I

    2010-12-01

    Obstructive sleep apnea (OSA) has been identified as one of the significant risk factors for motor vehicle crashes (MVCs). In the interest of public safety, this study was conducted to determine the prevalence of OSA and its associated factors among express bus drivers in Malaysia. Identifying factors or conditions related with OSA is very important because they can be used as indicators to subject a person to a confirmatory diagnosis using polysomnography testing. Two hundred eighty-nine randomly selected express bus drivers from 5 express bus companies participated in the study. Information on demography, medical history, clinical symptoms, and signs of OSA were collected by a designated medical officer and the diagnosis of OSA was done based on the Apnea Hypopnoea Index (AHI) from polysomnography testing. Based on AHI, 128 (44.3%) subjects were diagnosed as having OSA with 83 (28.7%), 26 (9.0%), and 26 (6.6%) classified as mild, moderate, and severe OSA, respectively. Multiple logistic regression analysis results showed that age (odds ratio [OR] = 1.05, 95% confidence interval [CI] 1.01-1.09), snoring (OR = 3.54, 95% CI 1.91-6.57), body mass index (BMI; OR = 1.17, 95% CI 1.09-1.25), hypertension (OR = 1.87, 95% CI 1.02-3.40), and neck circumference (OR = 1.31, 95% CI 1.18-1.46) were significantly associated with OSA status. The results supported the need for identifying the risk group for OSA among express bus drivers and the need to diagnose them early for an early intervention.

  2. Distribution and drivers of costs in type 2 diabetes mellitus treated with oral hypoglycemic agents: a retrospective claims data analysis.

    Science.gov (United States)

    Bron, Morgan; Guerin, Annie; Latremouille-Viau, Dominick; Ionescu-Ittu, Raluca; Viswanathan, Prabhakar; Lopez, Claudia; Wu, Eric Q

    2014-09-01

    To describe the distribution of costs and to identify the drivers of high costs among adult patients with type 2 diabetes mellitus (T2DM) receiving oral hypoglycemic agents. T2DM patients using oral hypoglycemic agents and having HbA1c test data were identified from the Truven MarketScan databases of Commercial and Medicare Supplemental insurance claims (2004-2010). All-cause and diabetes-related annual direct healthcare costs were measured and reported by cost components. The 25% most costly patients in the study sample were defined as high-cost patients. Drivers of high costs were identified in multivariate logistic regressions. Total 1-year all-cause costs for the 4104 study patients were $55,599,311 (mean cost per patient = $13,548). Diabetes-related costs accounted for 33.8% of all-cause costs (mean cost per patient = $4583). Medical service costs accounted for the majority of all-cause and diabetes-related total costs (63.7% and 59.5%, respectively), with a minority of patients incurring >80% of these costs (23.5% and 14.7%, respectively). Within the medical claims, inpatient admission for diabetes-complications was the strongest cost driver for both all-cause (OR = 13.5, 95% CI = 8.1-23.6) and diabetes-related costs (OR = 9.7, 95% CI = 6.3-15.1), with macrovascular complications accounting for most inpatient admissions. Other cost drivers included heavier hypoglycemic agent use, diabetes complications, and chronic diseases. The study reports a conservative estimate for the relative share of diabetes-related costs relative to total cost. The findings of this study apply mainly to T2DM patients under 65 years of age. Among the T2DM patients receiving oral hypoglycemic agents, 23.5% of patients incurred 80% of the all-cause healthcare costs, with these costs being driven by inpatient admissions, complications of diabetes, and chronic diseases. Interventions targeting inpatient admissions and/or complications of diabetes may contribute to the decrease of the

  3. Working conditions and illicit psychoactive substance use among truck drivers in Brazil.

    Science.gov (United States)

    Girotto, Edmarlon; de Andrade, Selma Maffei; Mesas, Arthur Eumann; González, Alberto Durán; Guidoni, Camilo Molino

    2015-11-01

    The aim of this study was to identify the role that working conditions play in predicting the consumption of illicit psychoactive substances (IPS) among truck drivers. This cross-sectional study was conducted with truck drivers who transport grains to Paranaguá Port, PR, Brazil. The truck drivers were interviewed, and they completed a self-administered questionnaire regarding their sociodemographics, lifestyles, working conditions, and consumption of IPS over the past 30 days. The statistical analysis included logistic regression models progressively adjusted for sociodemographic and lifestyle variables. A total of 670 male drivers with a mean age of 41.9 (±11.1) years were assessed. The prevalence of IPS consumption over the past 30 days was 10.9% (n=73). The drugs used primarily consisted of amphetamines (n=61). After adjusting for working characteristics, sociodemographic and lifestyle variables, the following working conditions were associated with the consumption of IPS: driving mostly at night (OR=3.91; 95% CI 1.75 to 8.74), driving while tired (OR=2.26; 95% CI 1.31 to 3.89), and earning a higher monthly income (OR=2.08; 95% CI 1.16 to 3.72). Drivers who were 39 years old or younger (OR=2.11; 95% CI 1.05 to 4.25) and not living with a partner (OR=2.22; 95% CI 1.17 to 4.22) were also more likely to consume IPS. Driving mostly at night, being tired, and earning more increase the use of IPS among truck drivers, regardless of other working characteristics, sociodemographic, and lifestyle variables. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  4. Derivation of main drivers affecting the possibility of human errors during low power and shutdown operation

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Ar Ryum; Seong, Poong Hyun [KAIST, Daejeon (Korea, Republic of); Park, Jin Kyun; Kim, Jae Whan [KAERI, Daejeon (Korea, Republic of)

    2016-05-15

    In order to estimate the possibility of human error and identify its nature, human reliability analysis (HRA) methods have been implemented. For this, various HRA methods have been developed so far: techniques for human error rate prediction (THERP), cause based decision tree (CBDT), the cognitive reliability and error analysis method (CREAM) and so on. Most HRA methods have been developed with a focus on full power operation of NPPs even though human performance may more largely affect the safety of the system during low power and shutdown (LPSD) operation than it would when the system is in full power operation. In this regard, it is necessary to conduct a research for developing HRA method to be used in LPSD operation. For the first step of the study, main drivers which affect the possibility of human error have been developed. Drivers which are commonly called as performance shaping factors (PSFs) are aspects of the human's individual characteristics, environment, organization, or task that specifically decrements or improves human performance, thus respectively increasing or decreasing the likelihood of human errors. In order to estimate the possibility of human error and identify its nature, human reliability analysis (HRA) methods have been implemented. For this, various HRA methods have been developed so far: techniques for human error rate prediction (THERP), cause based decision tree (CBDT), the cognitive reliability and error analysis method (CREAM) and so on. Most HRA methods have been developed with a focus on full power operation of NPPs even though human performance may more largely affect the safety of the system during low power and shutdown (LPSD) operation than it would when the system is in full power operation. In this regard, it is necessary to conduct a research for developing HRA method to be used in LPSD operation. For the first step of the study, main drivers which affect the possibility of human error have been developed. Drivers

  5. Derivation of main drivers affecting the possibility of human errors during low power and shutdown operation

    International Nuclear Information System (INIS)

    Kim, Ar Ryum; Seong, Poong Hyun; Park, Jin Kyun; Kim, Jae Whan

    2016-01-01

    In order to estimate the possibility of human error and identify its nature, human reliability analysis (HRA) methods have been implemented. For this, various HRA methods have been developed so far: techniques for human error rate prediction (THERP), cause based decision tree (CBDT), the cognitive reliability and error analysis method (CREAM) and so on. Most HRA methods have been developed with a focus on full power operation of NPPs even though human performance may more largely affect the safety of the system during low power and shutdown (LPSD) operation than it would when the system is in full power operation. In this regard, it is necessary to conduct a research for developing HRA method to be used in LPSD operation. For the first step of the study, main drivers which affect the possibility of human error have been developed. Drivers which are commonly called as performance shaping factors (PSFs) are aspects of the human's individual characteristics, environment, organization, or task that specifically decrements or improves human performance, thus respectively increasing or decreasing the likelihood of human errors. In order to estimate the possibility of human error and identify its nature, human reliability analysis (HRA) methods have been implemented. For this, various HRA methods have been developed so far: techniques for human error rate prediction (THERP), cause based decision tree (CBDT), the cognitive reliability and error analysis method (CREAM) and so on. Most HRA methods have been developed with a focus on full power operation of NPPs even though human performance may more largely affect the safety of the system during low power and shutdown (LPSD) operation than it would when the system is in full power operation. In this regard, it is necessary to conduct a research for developing HRA method to be used in LPSD operation. For the first step of the study, main drivers which affect the possibility of human error have been developed. Drivers which

  6. Seasonal variability of oxidative stress markers in city bus drivers. Part I. Oxidative damage to DNA.

    Science.gov (United States)

    Rossner, Pavel; Svecova, Vlasta; Milcova, Alena; Lnenickova, Zdena; Solansky, Ivo; Sram, Radim J

    2008-07-03

    We investigated the seasonal variability of 8-oxodeoxyguanosine (8-oxodG), a marker of oxidative damage to DNA, in urine of 50 bus drivers and 50 controls in Prague, Czech Republic, in three seasons with different levels of air pollution: winter 2005, summer 2006 and winter 2006. The exposure to environmental pollutants (carcinogenic polycyclic aromatic hydrocarbons, c-PAHs, particulate matter (PM), and volatile organic compounds (VOC)) was monitored by personal and/or stationary monitors. For the analysis of 8-oxodG levels, the ELISA technique was used. Bus drivers were exposed to significantly higher levels of c-PAHs in winter 2006, while in the other two seasons the exposure of controls was unexpectedly higher than that of bus drivers. We did not see any difference in VOC exposure between both groups in summer 2006 and in winter 2006; VOC were not monitored in winter 2005. 8-OxodG levels were higher in bus drivers than in controls in all seasons. The median levels of 8-oxodG (nmol/mmol creatinine) in bus drivers vs. controls were as follows: winter 2005: 7.79 vs. 6.12 (p=0.01); summer 2006: 6.91 vs. 5.11 (p<0.01); winter 2006: 5.73 vs. 3.94 (p<0.001). Multivariate logistic regression analysis identified PM2.5 and PM10 levels, measured by stationary monitors during a 3-day period before urine collection, as the only factors significantly affecting 8-oxodG levels, while the levels of c-PAHs had no significant influence.

  7. Negativity Bias in Dangerous Drivers.

    Directory of Open Access Journals (Sweden)

    Jing Chai

    Full Text Available The behavioral and cognitive characteristics of dangerous drivers differ significantly from those of safe drivers. However, differences in emotional information processing have seldom been investigated. Previous studies have revealed that drivers with higher anger/anxiety trait scores are more likely to be involved in crashes and that individuals with higher anger traits exhibit stronger negativity biases when processing emotions compared with control groups. However, researchers have not explored the relationship between emotional information processing and driving behavior. In this study, we examined the emotional information processing differences between dangerous drivers and safe drivers. Thirty-eight non-professional drivers were divided into two groups according to the penalty points that they had accrued for traffic violations: 15 drivers with 6 or more points were included in the dangerous driver group, and 23 drivers with 3 or fewer points were included in the safe driver group. The emotional Stroop task was used to measure negativity biases, and both behavioral and electroencephalograph data were recorded. The behavioral results revealed stronger negativity biases in the dangerous drivers than in the safe drivers. The bias score was correlated with self-reported dangerous driving behavior. Drivers with strong negativity biases reported having been involved in mores crashes compared with the less-biased drivers. The event-related potentials (ERPs revealed that the dangerous drivers exhibited reduced P3 components when responding to negative stimuli, suggesting decreased inhibitory control of information that is task-irrelevant but emotionally salient. The influence of negativity bias provides one possible explanation of the effects of individual differences on dangerous driving behavior and traffic crashes.

  8. Education and driver-training

    Directory of Open Access Journals (Sweden)

    Andrej Justinek

    1999-12-01

    Full Text Available The characteristics of the driver are manifested in his/her behaviour. For safe driving one must have a driver's knowledge. The contents of educational material are determined by law, and are both theoretical and practical, yet frequently they do not suffice to meet the requirements of safe driving. In this paper, the author suggests that, in the training of drivers, more educational elements should be included, such a would have  an effective influence on the driver's moti ves and attitudes. The driver's motives - which may result in incorrect driving­ are diverse: most often, the default is overspeeding, even though the drivers always over-estimate the potential time gain. In fact, over-fast driving is a way of satisfying other, different needs; and, above all, it is a form of compensation for unsettled life problems, and at the same time an indication of the driver's personal inability to cope with stress.

  9. Barriers to and drivers for UK bioenergy development

    Energy Technology Data Exchange (ETDEWEB)

    Adams, P.W.; Mezzullo, W.G. [Department of Mechanical Engineering, Faculty of Engineering and Design, University of Bath, Claverton Down, Bath BA2 7AY (United Kingdom); Hammond, G.P.; McManus, M.C. [Department of Mechanical Engineering, Faculty of Engineering and Design, University of Bath, Claverton Down, Bath BA2 7AY (United Kingdom); Institute for Sustainable Energy and Environment (I.SEE), University of Bath, Claverton Down, Bath BA2 7AY (United Kingdom)

    2011-02-15

    Barriers to UK bioenergy development arise from a number of technical, financial, social and other constraints. Likewise, the drivers for using bioenergy are numerous and diverse. A range of these barriers and drivers have been identified through a comprehensive literature and case study review, and then assessed through an online questionnaire, completed by stakeholders from across the UK bioenergy industry: farmers/suppliers, developers/owners of bioenergy projects, primary end-users, and government/policy stakeholders. The results are presented in the form of 'spider web' diagrams. The most critical barriers and drivers relate to economic factors of bioenergy projects. Farmers/suppliers and developers are influenced by production costs and benefits, whilst primary end-users of bioenergy are concerned mainly with the cost of purchasing energy resources. Common drivers for all stakeholders were found to be reducing carbon emissions and the dependency on fossil fuels. In order to satisfy the needs of stakeholders schemes must be both economically attractive and environmentally sustainable for projects to be successful. (author)

  10. Using naturalistic driving study data to investigate the impact of driver distraction on driver's brake reaction time in freeway rear-end events in car-following situation.

    Science.gov (United States)

    Gao, Jingru; Davis, Gary A

    2017-12-01

    The rear-end crash is one of the most common freeway crash types, and driver distraction is often cited as a leading cause of rear-end crashes. Previous research indicates that driver distraction could have negative effects on driving performance, but the specific association between driver distraction and crash risk is still not fully revealed. This study sought to understand the mechanism by which driver distraction, defined as secondary task distraction, could influence crash risk, as indicated by a driver's reaction time, in freeway car-following situations. A statistical analysis, exploring the causal model structure regarding drivers' distraction impacts on reaction times, was conducted. Distraction duration, distraction scenario, and secondary task type were chosen as distraction-related factors. Besides, exogenous factors including weather, visual obstruction, lighting condition, traffic density, and intersection presence and endogenous factors including driver age and gender were considered. There was an association between driver distraction and reaction time in the sample freeway rear-end events from SHRP 2 NDS database. Distraction duration, the distracted status when a leader braked, and secondary task type were related to reaction time, while all other factors showed no significant effect on reaction time. The analysis showed that driver distraction duration is the primary direct cause of the increase in reaction time, with other factors having indirect effects mediated by distraction duration. Longer distraction duration, the distracted status when a leader braked, and engaging in auditory-visual-manual secondary task tended to result in longer reaction times. Given drivers will be distracted occasionally, countermeasures which shorten distraction duration or avoid distraction presence while a leader vehicle brakes are worth considering. This study helps better understand the mechanism of freeway rear-end events in car-following situations, and

  11. COMPARISON OF SEVERITY AFFECTING FACTORS BETWEEN YOUNG AND OLDER DRIVERS INVOLVED IN SINGLE VEHICLE CRASHES

    Directory of Open Access Journals (Sweden)

    Sunanda DISSANAYAKE, Ph.D., P.E.

    2004-01-01

    Full Text Available Single vehicle crashes contribute to a significant amount of fatalities in the United States. At the same time, fatality crash involvement rates of young and older drivers are well above the average and both groups are identified as critical groups when it comes to highway safety. Therefore, the study described in this paper developed separate models to predict crash severity of single vehicle crashes by young and older drivers. By using the models, factors affecting towards increased crash severity were identified for each group and comparisons were made. Almost all the common identified factors influenced both driver groups in the same manner except in the case of alcohol and drug usage, which indicated an interesting finding in the case of crash severity of older drivers. Speeding and non-usage of a restraint device were the two most important factors affecting towards increased crash severity for both driver groups at all severity levels. Additionally, ejection and existence of curve/grade were determinants of higher young driver crash severity at all levels. For older drivers, having a frontal impact point was a severity determinant at all levels. County of residence and weather condition were not effective in making any changes with respect to crash severity at any level, while some other factors had a minimal affect. Findings of this study are beneficial in investigating the potential ways of reducing crash severity, which could also be influential in reducing the occurrence of crashes as well.

  12. Drivers of Acceptance of a New Beverage in Europe

    Directory of Open Access Journals (Sweden)

    Ana Patricia Silva

    2016-05-01

    Full Text Available One of the challenges of studying food consumption behavior is to identify the drivers of choice for a food product. This is particularly important to design and develop new foods for which no previous information is available. Hibiscus sabdariffa L. (Bissap is an herbaceous plant and an important source of vitamins, minerals, and bioactive compounds, which confer a number of potential health benefits to derived products. The consumption of Bissap in beverage form is widespread in Africa and Asia, but not yet in Europe. Therefore, this study aimed to identify the main drivers of consumer acceptance of a traditional African beverage made from Bissap to which they had not been previously exposed. First, three focus groups (n = 22 were performed in Portugal to characterize the sensory profile of four Bissap beverages, to reveal perceptions and attitudes towards Bissap beverages, and to identify potential choice attributes. Subsequently, a full-profile conjoint analysis (n = 99 was performed, where consumers evaluated 37 Bissap beverage profiles, aiming to estimate choice attribute importance and to identify relevant market segments. Focus group findings showed that consumers would choose Bissap because they perceived as a healthy choice, and due to its novelty. The conjoint study showed an ideal profile for a Bissap beverage costing €0.99/L, <18 kcal/100 mL, packaged in Tetra-pack, light red color, and containing labeling information about antioxidants and Bissap. Four clusters of consumers were identified: price sensitive, body concerned, packaging attracted, and demanding, highlighting the most influential choice attributes: price, calories, and packaging. Findings provide useful guidance for new product development of an African product in the European lifestyle. Results might be useful from a nutraceutical point of view and to the food/beverages industry.

  13. Definition of run-off-road crash clusters-For safety benefit estimation and driver assistance development.

    Science.gov (United States)

    Nilsson, Daniel; Lindman, Magdalena; Victor, Trent; Dozza, Marco

    2018-04-01

    Single-vehicle run-off-road crashes are a major traffic safety concern, as they are associated with a high proportion of fatal outcomes. In addressing run-off-road crashes, the development and evaluation of advanced driver assistance systems requires test scenarios that are representative of the variability found in real-world crashes. We apply hierarchical agglomerative cluster analysis to define similarities in a set of crash data variables, these clusters can then be used as the basis in test scenario development. Out of 13 clusters, nine test scenarios are derived, corresponding to crashes characterised by: drivers drifting off the road in daytime and night-time, high speed departures, high-angle departures on narrow roads, highways, snowy roads, loss-of-control on wet roadways, sharp curves, and high speeds on roads with severe road surface conditions. In addition, each cluster was analysed with respect to crash variables related to the crash cause and reason for the unintended lane departure. The study shows that cluster analysis of representative data provides a statistically based method to identify relevant properties for run-off-road test scenarios. This was done to support development of vehicle-based run-off-road countermeasures and driver behaviour models used in virtual testing. Future studies should use driver behaviour from naturalistic driving data to further define how test-scenarios and behavioural causation mechanisms should be included. Copyright © 2018 Elsevier Ltd. All rights reserved.

  14. An analysis of West Virginia's graduated driver licensing program.

    Science.gov (United States)

    2012-12-01

    Motor vehicle collisions are the leading cause of death for individuals between the ages of 15-20 years old in the United States. Top safety concerns involving teen drivers include; safety belt use, impaired driving, and distracted driving. Rules tha...

  15. Factors correlated with traffic accidents as a basis for evaluating Advanced Driver Assistance Systems.

    Science.gov (United States)

    Staubach, Maria

    2009-09-01

    This study aims to identify factors which influence and cause errors in traffic accidents and to use these as a basis for information to guide the application and design of driver assistance systems. A total of 474 accidents were examined in depth for this study by means of a psychological survey, data from accident reports, and technical reconstruction information. An error analysis was subsequently carried out, taking into account the driver, environment, and vehicle sub-systems. Results showed that all accidents were influenced by errors as a consequence of distraction and reduced activity. For crossroad accidents, there were further errors resulting from sight obstruction, masked stimuli, focus errors, and law infringements. Lane departure crashes were additionally caused by errors as a result of masked stimuli, law infringements, expectation errors as well as objective and action slips, while same direction accidents occurred additionally because of focus errors, expectation errors, and objective and action slips. Most accidents were influenced by multiple factors. There is a safety potential for Advanced Driver Assistance Systems (ADAS), which support the driver in information assimilation and help to avoid distraction and reduced activity. The design of the ADAS is dependent on the specific influencing factors of the accident type.

  16. Modeling of Driver Steering Operations in Lateral Wind Disturbances toward Driver Assistance System

    Science.gov (United States)

    Kurata, Yoshinori; Wada, Takahiro; Kamiji, Norimasa; Doi, Shun'ichi

    Disturbances decrease vehicle stability and increase driver's mental and physical workload. Especially unexpected disturbances such as lateral winds have severe effect on vehicle stability and driver's workload. This study aims at building a driver model of steering operations in lateral wind toward developing effective driver assistance system. First, the relationship between the driver's lateral motion and its reactive quick steering behavior is investigated using driving simulator with lateral 1dof motion. In the experiments, four different wind patterns are displayed by the simulator. As the results, strong correlation was found between the driver's head lateral jerk by the lateral disturbance and the angular acceleration of the steering wheel. Then, we build a mathematical model of driver's steering model from lateral disturbance input to steering torque of the reactive quick feed-forward steering based on the experimental results. Finally, validity of the proposed model is shown by comparing the steering torque of experimental results and that of simulation results.

  17. Climatic drivers of vegetation based on wavelet analysis

    Science.gov (United States)

    Claessen, Jeroen; Martens, Brecht; Verhoest, Niko E. C.; Molini, Annalisa; Miralles, Diego

    2017-04-01

    Vegetation dynamics are driven by climate, and at the same time they play a key role in forcing the different bio-geochemical cycles. As climate change leads to an increase in frequency and intensity of hydro-meteorological extremes, vegetation is expected to respond to these changes, and subsequently feed back on their occurrence. This response can be analysed using time series of different vegetation diagnostics observed from space, in the optical (e.g. Normalised Difference Vegetation Index (NDVI), Solar Induced Fluorescence (SIF)) and microwave (Vegetation Optical Depth (VOD)) domains. In this contribution, we compare the climatic drivers of different vegetation diagnostics, based on a monthly global data-cube of 24 years at a 0.25° resolution. To do so, we calculate the wavelet coherence between each vegetation-related observation and observations of air temperature, precipitation and incoming radiation. The use of wavelet coherence allows unveiling the scale-by-scale response and sensitivity of the diverse vegetation indices to their climatic drivers. Our preliminary results show that the wavelet-based statistics prove to be a suitable tool for extracting information from different vegetation indices. Going beyond traditional methods based on linear correlations, the application of wavelet coherence provides information about: (a) the specific periods at which the correspondence between climate and vegetation dynamics is larger, (b) the frequencies at which this correspondence occurs (e.g. monthly or seasonal scales), and (c) the time lag in the response of vegetation to their climate drivers, and vice versa. As expected, areas of high rainfall volumes are characterised by a strong control of radiation and temperature over vegetation. Furthermore, precipitation is the most important driver of vegetation variability over short terms in most regions of the world - which can be explained by the rapid response of leaf development towards available water content

  18. Cyclist-related content in novice driver education and training.

    Science.gov (United States)

    Bonham, Jennifer; Johnson, Marilyn

    2018-02-01

    In Australia, the increasing public profile and policy interest in cycling contrasts with variable cycling participation rates across jurisdictions (Australian Bicycle Council, 2017) and lack of cyclist-specific infrastructure. Cyclists and drivers often share road space, usually without indication from the built environment about how to maximise each other's safety and utility. Yet despite this regular interaction, cyclists are largely absent from the driver licensing process in Australia. That is, novice drivers are not taught how to share the road with cyclists. This case study used a mixed methods approach to examine the cyclist-related content in the Graduated Driver Licensing System (GDLS) in the Australian Capital Territory (ACT). The case study was conducted in four stages: 1) content analysis of all documents used through the GDLS; 2) observations of the Road Ready course and learner driver lessons; 3) online survey; and, 4) semi-structured interviews. Cyclists are rarely mentioned in the GDLS in the ACT and references often constructed cyclists as problematic or were based in instructors' personal opinion (rather than scripted responses). Outcomes from this study have directly informed a new vulnerable road user driver licence competency in the ACT and findings include recommendations for greater inclusion of cyclists in the driver licensing system. Copyright © 2017 Elsevier Ltd. All rights reserved.

  19. The impact of later trading hours for hotels on levels of impaired driver road crashes and driver breath alcohol levels.

    Science.gov (United States)

    Chikritzhs, Tanya; Stockwell, Tim

    2006-09-01

    To examine the impact of later trading hours for licensed hotels in Perth, Western Australia on levels of associated impaired driver road crashes and driver breath alcohol levels (BALs). Police data on the "last place of drinking" for impaired drivers involved in road crashes and their corresponding BALs were examined to identify those associated with Perth hotels between 1 July 1990 and 30 June 1997. During this period, 43 (23%) of the 186 hotels meeting study criteria were granted an Extended Trading Permit for 1 a.m. closing (ETP hotels), while the rest continued to close at midnight (non-ETP hotels). Time-series analyses employing multiple linear regressions were applied to determine whether an association existed between the introduction of extended trading and (i) monthly levels of impaired driver road crashes associated with ETP hotels and (ii) driver BALs associated with ETP hotels. Trends associated with non-ETP hotels were included as controls and possible confounders were considered. After controlling for the trend in crash rates associated with non-ETP hotels and the introduction of mobile police breath testing stations to Perth freeways, a significant increase in monthly crash rates for ETP hotels was found. This relationship was largely accounted for by higher volumes of high-alcohol content beer, wine and spirits purchased by ETP hotels. No relation was found between driver BALs and the introduction of ETPs. Late trading was associated with increased levels of impaired driver road crashes and alcohol consumption, particularly high-risk alcoholic beverages. Greater numbers of patrons and characteristics specific to clientele of hotels which applied for late trading hours (i.e. younger age, greater propensity to drunk-drive, preference for high-risk beverages) were suggested as having contributed to this increase.

  20. Long-term changes in CO{sub 2} emissions in Austria and Czechoslovakia-Identifying the drivers of environmental pressures

    Energy Technology Data Exchange (ETDEWEB)

    Gingrich, Simone, E-mail: simone.gingrich@uni-klu.ac.a [Institute of Social Ecology, Faculty for Interdisciplinary Studies Vienna, University of Klagenfurt, Schottenfeldgasse 29/5, 1070 Wien (Austria); Kuskova, Petra [Department of Social Geography and Regional Development, Charles University in Prague (Czech Republic); Steinberger, Julia K. [Institute of Social Ecology, Faculty for Interdisciplinary Studies Vienna, University of Klagenfurt, Schottenfeldgasse 29/5, 1070 Wien (Austria)

    2011-02-15

    This study presents fossil-fuel related CO{sub 2} emissions in Austria and Czechoslovakia (current Czech Republic and Slovakia) for 1830-2000. The drivers of CO{sub 2} emissions are discussed by investigating the variables of the standard Kaya identity for 1920-2000 and conducting a comparative Index Decomposition Analysis. Proxy data on industrial production and household consumption are analysed to understand the role of the economic structure. CO{sub 2} emissions increased in both countries in the long run. Czechoslovakia was a stronger emitter of CO{sub 2} throughout the time period, but per-capita emissions significantly differed only after World War I, when Czechoslovakia and Austria became independent. The difference in CO{sub 2} emissions increased until the mid-1980s (the period of communism in Czechoslovakia), explained by the energy intensity and the composition effects, and higher industrial production in Czechoslovakia. Counterbalancing factors were the income effect and household consumption. After the Velvet revolution in 1990, Czechoslovak CO{sub 2} emissions decreased, and the energy composition effect (and industrial production) lost importance. Despite their different political and economic development, Austria and Czechoslovakia reached similar levels of per-capita CO{sub 2} emissions in the late 20th century. Neither Austrian 'eco-efficiency' nor Czechoslovak restructuring have been effective in reducing CO{sub 2} emissions to a sustainable level. - Research Highlights: {yields}CO{sub 2} emissions in Austria and Czechoslovakia increased during industrialisation. {yields}The differences were strongest during periods of different political regimes. {yields}The main drivers for differences were energy composition and energy intensity.

  1. Analysis of near crashes among teen, young adult, and experienced adult drivers using the SHRP2 naturalistic driving study.

    Science.gov (United States)

    Seacrist, Thomas; Douglas, Ethan C; Huang, Elaine; Megariotis, James; Prabahar, Abhiti; Kashem, Abyaad; Elzarka, Ayya; Haber, Leora; MacKinney, Taryn; Loeb, Helen

    2018-02-28

    Motor vehicle crashes are the leading cause of death among young drivers. Though previous research has focused on crash events, near crashes offer additional data to help identify driver errors that could potentially lead to crashes as well as evasive maneuvers used to avoid them. The Strategic Highway Research Program 2 (SHRP2) Naturalistic Driving Study (NDS) contains extensive data on real-world driving and offers a reliable methodology to quantify and study near crashes. This article presents findings on near crashes and how they compare to crash events among teen, young adult, and experienced adult drivers. A subset from the SHRP2 database consisting of 1,653 near crashes for teen (16-19 years, n = 550), young adult (20-24 years, n = 748), and experienced adult (35-54 years, n = 591) drivers was used. Onboard instrumentation including scene cameras, accelerometers, and Global Positioning System logged time series data at 10 Hz. Scene videos were reviewed for all events to classify near crashes based on 7 types: rear-end, road departure, intersection, head-on, side-swipe, pedestrian/cyclist, and animal. Near crash rates, incident type, secondary tasks, and evasive maneuvers were compared across age groups and between crashes and near crashes. For rear-end near crashes, vehicle dynamic variables including near crash severity, headway distance, time headway, and time to collision at the time of braking were compared across age groups. Crashes and near crashes were combined to compare the frequency of critical events across age. Teen drivers exhibited a significantly higher (P systems based on the most common driving errors for vulnerable road users.

  2. Examination of supplemental driver training and online basic driver education courses : traffic tech.

    Science.gov (United States)

    2012-08-01

    The first six months of unsupervised driving are the most : hazardous in a novice drivers driving experience. Most : States adopted graduated driver licensing (GDL) systems : to give novice drivers experience in a protective environment, : gradual...

  3. An epidemiologic survey of road traffic accidents in Iran: analysis of driver-related factors.

    Science.gov (United States)

    Moafian, Ghasem; Aghabeigi, Mohammad-Reza; Heydari, Seyed Taghi; Hoseinzadeh, Amin; Lankarani, Kamran Bagheri; Sarikhani, Yaser

    2013-01-01

    Road traffic accident (RTA) and its related injuries contribute to a significant portion of the burden of diseases in Iran. This paper explores the association between driver-related factors and RTA in the country. This cross-sectional study was conducted in Iran and all data regarding RTAs from March 20, 2010 to June 10, 2010 were obtained from the Traffic Police Department. We included 538 588 RTA records, which were classified to control for the main confounders: accident type, final cause of accident, time of accident and driver-related factors. Driver-related factors included sex, educational level, license type, type of injury, duration between accident and getting the driving license and driver's error type. A total of 538 588 drivers (91.83% male, sex ratio of almost 13:1) were involved in the RTAs. Among them 423 932 (78.71%) were uninjured; 224 818 (41.74%) had a diploma degree. Grade 2 driving license represented the highest proportion of all driving licenses (290 811, 54.00%). The greatest number of accidents took place at 12:00-13:59 (75 024, 13.93%). The proportion of drivers involved in RTAs decreased from 15.90% in the first year of getting a driving license to 3.13% after 10 years'of driving experience. Neglect of regulations was the commonest cause of traffic crashes (345 589, 64.17%). Non-observance of priority and inattention to the front were the most frequent final causes of death (138 175, 25.66% and 129 352, 24.02%, respectively). We found significant association between type of accident and sex, education, license type, time of accident, final cause of accident, driver's error as well as duration between accident and getting the driving license (all P less than 0.001). Our results will improve the traffic law enforcement measures, which will change inappropriate behavior of drivers and protect the least experienced road users.

  4. [Risk factors for road traffic injury in agricultural vehicle drivers].

    Science.gov (United States)

    Cui, M J; Chen, Y; Li, Y; Hu, J; Zhang, X J

    2017-08-20

    Objective: To examine the risk factors for road traffic injury in agricultural vehicle drivers. Methods: A total of 103 drivers (who had suffered agricultural vehicle road traffic injury within the past year based on the road traffic injury registrar from the Traffic Management Bureau) who were involved in the annual agricultural vehicle inspection from December 2014 to January 2015 were randomly sampled from the Yixing Agricultural Vehicle Station as the case group for this study. Based on a 1∶2 assignment ratio and matched for sex, age, and education, a total of 206 drivers who had not suffered any agricultural vehicle road traffic injury within the past year were selected as the control group. The general information, vehicle information, driving information, driving behavior, and accident details of the agricultural vehicle drivers were analyzed. Results: The incidence rate of road traffic injury was 7.24% given the 103 agricultural vehicle drivers who had suffered agricultural vehicle road traffic injury in the past year. Univariate logistic regression analysis showed that drinking, debt, pressure, history of car accident, history of drunk driving, smoking and phone use during driving, fatigue driving, and driving with illness were the risk factors for road traffic injury in agricultural vehicle drivers ( OR =2.332, 2.429, 19.778, 5.589, 8.517, 2.125, 3.203, 10.249 and 5.639, respectively) . Multivariate logistic regression analysis also demonstrated that pressure, history of car accident, history of drunk driving, fatigue driving, and driving with illness were the risk factors for road traffic injury in agricultural vehicle drivers ( OR =12.139, 11.184, 6.729, 5.939, and 6.544, respectively) . Conclusion: Pressure, history of car accident, history of drunk driving, fatigue driving, and driving with illness are the major risk factors for road traffic injury in agricultural vehicle drivers.

  5. Technological drivers in data centers and telecom systems: Multiscale thermal, electrical, and energy management

    International Nuclear Information System (INIS)

    Garimella, Suresh V.; Persoons, Tim; Weibel, Justin; Yeh, Lian-Tuu

    2013-01-01

    Highlights: ► Thermal management approaches reviewed against energy usage of IT industry. ► Challenges of energy efficiency in large-scale electronic systems highlighted. ► Underlying drivers for progress at the business and technology levels identified. ► Thermal, electrical and energy management challenges discussed as drivers. ► Views of IT system operators, manufacturers and integrators represented. - Abstract: We identify technological drivers for tomorrow’s data centers and telecommunications systems, including thermal, electrical and energy management challenges, based on discussions at the 2nd Workshop on Thermal Management in Telecommunication Systems and Data Centers in Santa Clara, California, on April 25–26, 2012. The relevance of thermal management in electronic systems is reviewed against the background of the energy usage of the information technology (IT) industry, encompassing perspectives of different sectors of the industry. The underlying drivers for progress at the business and technology levels are identified. The technological challenges are reviewed in two main categories – immediate needs and future needs. Enabling cooling techniques that are currently under development are also discussed

  6. Study on Driver Visual Physiological Characteristics in Urban Traffic

    Directory of Open Access Journals (Sweden)

    Fengyuan Wang

    2014-01-01

    Full Text Available In the integrated traffic environment, human factor is always a main factor of the three elementary factors, besides the vehicle and road factor. The driver physiological and psychological characteristics have an important impact especially on traffic safety in urban road traffic conditions. Some typical traffic scenes in condition of urban road, such as light signal control at intersection, overtaking, and passing, are selected for condition analysis. An eye movement apparatus was used to obtain driver eye closure, blink frequency, and other visual physiological indicators in the traffic conditions of urban road. The regular patterns of driver visual characteristics in the corresponding scenes were analyzed in detail to provide data and theoretical support for the further research on traffic safety of urban environment from the viewpoint of driver psychology and behavior.

  7. Divided attention in young drivers under the influence of alcohol.

    Science.gov (United States)

    Freydier, C; Berthelon, C; Bastien-Toniazzo, M; Gineyt, G

    2014-06-01

    The present research evaluates driving impairment linked to divided attention task and alcohol and determines whether it is higher for novice drivers than for experienced drivers. Novice and experienced drivers participated in three experimental sessions in which blood alcohol concentrations (BACs) were 0.0 g/L, 0.2 g/L, and 0.5 g/L. They performed a divided attention task with a main task of car-following task and an additional task of number parity identification. Driving performance, response time and accuracy on the additional task were measured. ANOVA showed a driving impairment and a decrease in additional task performance from a BAC of 0.5 g/L, particularly for novice drivers. Indeed, the latter adopt more risky behavior such as tailgating. In the divided attention task, driving impairment was found for all drivers and impairment on information processing accuracy was highlighted, notably in peripheral vision. The divided attention task used here provides a relevant method for identifying the effects of alcohol on cognitive functions and could be used in psychopharmacological research. Copyright © 2014 Elsevier Ltd. All rights reserved.

  8. The use of meta-analysis or research synthesis to combine driving simulation or naturalistic study results on driver distraction.

    Science.gov (United States)

    Caird, Jeff K; Johnston, Katherine A; Willness, Chelsea R; Asbridge, Mark

    2014-06-01

    Three important and inter-related topics are addressed in this paper. First, the importance of meta-analysis and research synthesis methods to combine studies on traffic safety, in general, and on driver distraction, in particular, is briefly reviewed. Second, naturalistic, epidemiologic, and driving simulation studies on driver distraction are used to illustrate convergent and divergent results that have accumulated thus far in this domain of research. In particular, mobile phone conversation, passenger presence, and text messaging naturalistic studies use meta-analyses and research syntheses to illustrate important patterns of results that are in need of more in-depth study. Third, a number of driver distraction study limitations such as poorly defined dependent variables, lack of methodological detail, and omission of statistical information prevent the integration of many studies into meta-analyses. In addition, the overall quality of road safety studies suffers from these same limitations and suggestions for improvement are made to guide researchers and reviewers. Practical Applications. The use of research synthesis and meta-analysis provide comprehensive estimates of the impact of distractions on driving performance, which can be used to guide public policy and future research. Copyright © 2014 National Safety Council and Elsevier Ltd. All rights reserved.

  9. Understanding local-scale drivers of biodiversity outcomes in terrestrial protected areas.

    Science.gov (United States)

    Barnes, Megan D; Craigie, Ian D; Dudley, Nigel; Hockings, Marc

    2017-07-01

    Conservation relies heavily on protected areas (PAs) maintaining their key biodiversity features to meet global biodiversity conservation goals. However, PAs have had variable success, with many failing to fully maintain their biodiversity features. The current literature concerning what drives variability in PA performance is rapidly expanding but unclear, sometimes contradictory, and spread across multiple disciplines. A clear understanding of the drivers of successful biodiversity conservation in PAs is necessary to make them fully effective. Here, we conduct a comprehensive assessment of the current state of knowledge concerning the drivers of biological outcomes within PAs, focusing on those that can be addressed at local scales. We evaluate evidence in support of potential drivers to identify those that enable more successful outcomes and those that impede success and provide a synthetic review. Interactions are discussed where they are known, and we highlight gaps in understanding. We find that elements of PA design, management, and local and national governance challenges, species and system ecology, and sociopolitical context can all influence outcomes. Adjusting PA management to focus on actions and policies that influence the key drivers identified here could improve global biodiversity outcomes. © 2016 New York Academy of Sciences.

  10. Impact of Automation on Drivers' Performance in Agricultural Semi-Autonomous Vehicles.

    Science.gov (United States)

    Bashiri, B; Mann, D D

    2015-04-01

    Drivers' inadequate mental workload has been reported as one of the negative effects of driving assistant systems and in-vehicle automation. The increasing trend of automation in agricultural vehicles raises some concerns about drivers' mental workload in such vehicles. Thus, a human factors perspective is needed to identify the consequences of such automated systems. In this simulator study, the effects of vehicle steering task automation (VSTA) and implement control and monitoring task automation (ICMTA) were investigated using a tractor-air seeder system as a case study. Two performance parameters (reaction time and accuracy of actions) were measured to assess drivers' perceived mental workload. Experiments were conducted using the tractor driving simulator (TDS) located in the Agricultural Ergonomics Laboratory at the University of Manitoba. Study participants were university students with tractor driving experience. According to the results, reaction time and number of errors made by drivers both decreased as the automation level increased. Correlations were found among performance parameters and subjective mental workload reported by the drivers.

  11. An econometric analysis of the effects of the penalty points system driver's license in Spain.

    Science.gov (United States)

    Castillo-Manzano, José I; Castro-Nuño, Mercedes; Pedregal, Diego J

    2010-07-01

    This article seeks to quantify the effects of the penalty points system driver's license during the 18-month period following its coming into force. This is achieved by means of univariate and multivariate unobserved component models set up in a state space framework estimated using maximum likelihood. A detailed intervention analysis is carried out in order to test for the effects and their duration of the introduction of the penalty points system driver's license in Spain. Other variables, mainly indicators of the level of economic activity in Spain, are also considered. Among the main effects, we can mention an average reduction of almost 12.6% in the number of deaths in highway accidents. It would take at least 2 years for that effect to disappear. For the rest of the safety indicator variables (vehicle occupants injured in highway accidents and vehicle occupants injured in accidents built-up areas) the effects disappeared 1 year after the law coming into force. Copyright 2010 Elsevier Ltd. All rights reserved.

  12. Addressing the Multiple Drivers of Wetland Ecosystems Degradation in Lagos, Nigeria

    Science.gov (United States)

    Agboola, J.; Ndimele, P. E.; Odunuga, S.; Akanni, A.; Kosemani, B.; Ahove, M.

    2015-12-01

    Several body of knowledge have noted the importance of wetland ecosystems in climate moderation, resource supply and flood risk reduction amongst others. Relevant as it may, rapidly increasing population and uncontrolled urban development poses a challenge in some regions and require understanding of the ecosystem components and drivers of change over a long period of time. Thus, the main thrust of this paper is to analyse multiple drivers of wetland ecosystems degradation in the last 30 years in the Lagos megacity using field study, desktop review, satellite data and laboratory analysis. Key drivers identified includes: conversion of wetlands to settlements and waste sink, land use planning that neglects wetland conservation and restoration, ineffective legal status for wetlands, over exploitation leading to degradation and fragmentation of wetland ecosystems governance. In stemming further loss of this vital ecosystem, this study adopted and proposed respectively, the Drivers, Pressure, State, Impact and Response (DPSIR) and Integrated Planning Approach (IPA) frameworks in analysing policy and governance issues in wetland development. These analyses figured out amongst others, strict conservation and sustainable use of wetland resources, habitat restoration, climate adaptation measures, legal protection and wetland management institution as major responses to current multiple pressures facing wetland ecosystems in Lagos. For these frameworks to be made meaningful, weak coordination among government agencies and institutional capacity in implementation and law enforcement, unsustainable resource extraction by private/business organization and issues on alternative sources of income on the part of the local communities amongst others needs to be addressed.

  13. Effectiveness of marine protected areas in managing the drivers of ecosystem change: a case of Mnazi Bay Marine Park, Tanzania.

    Science.gov (United States)

    Machumu, Milali Ernest; Yakupitiyage, Amararatne

    2013-04-01

    Marine protected areas (MPAs) are being promoted in Tanzania to mitigate the drivers of ecosystem change such as overfishing and other anthropogenic impacts on marine resources. The effectiveness of MPAs in managing those drivers was assessed in three ecological zones, seafront, mangrove, and riverine of Mnazi Bay Marine Park, using Participatory Community Analysis techniques, questionnaire survey, checklist and fishery resource assessment methods. Eleven major drivers of ecosystem change were identified. Resource dependence had a major effect in all ecological zones of the park. The results indicated that the park's legislations/regulations, management procedures, and conservation efforts are reasonably effective in managing its resources. The positive signs accrued from conservation efforts have been realized by the communities in terms of increased catch/income, awareness and compliance. However, some natural and anthropogenic drivers continued to threaten the park's sustainability. Furthermore, implementation of resource use and benefit sharing mechanisms still remained a considerable challenge to be addressed.

  14. Turning movements, vehicle offsets and ageing drivers driving behaviour at channelized and unchannelized intersections.

    Science.gov (United States)

    Choi, Jaisung; Tay, Richard; Kim, Sangyoup; Jeong, Seungwon

    2017-11-01

    Ageing drivers experience a higher risk of intersection crashes because of their decrease in driving efficiency, including the decline in cognitive ability, head and neck flexibility, and visual acuity. Although several studies have been conducted to examine the factors associated with ageing driver crashes at intersections, little research has been conducted to examine the differences in the factors related to ageing drivers' turning paths and intersection geometric features. This study aims to improve the safety of ageing drivers at intersections by identifying the maneuvers that are risky for them and tracking their turning movements at selected intersections. We find that ageing drivers experience more crashes at intersections than younger drivers, especially crashes involving turning movements. Furthermore, ageing drivers experience more crashes at unchannelized intersections compared to channelized intersections. In addition, this study finds that ageing drivers exhibit greater and more inconsistent offsets during turning movements compared to those of younger drivers at both channelized and unchannelized intersections. Ageing drivers also tend to make relatively sharper or tighter turns than younger drivers. Hence, transportation engineers and road safety professionals should consider appropriate countermeasures to reduce the risks of crashes involving ageing drivers at intersections. Copyright © 2017 Elsevier Ltd. All rights reserved.

  15. An Analysis of a Contingency Program on Designated Drivers at a College Bar

    Science.gov (United States)

    Kazbour, Richard R.; Bailey, Jon S.

    2010-01-01

    The present study evaluated the effects of prompts and incentives on designated drivers in a bar. We defined the dependent variable as the percentage of customers either functioning as or riding with a designated driver. We used an ABCA design to evaluate the effectiveness of prompts and incentives on the dependent variable. Results indicated that…

  16. The impact of young drivers' lifestyle on their road traffic accident risk in greater Athens area.

    Science.gov (United States)

    Chliaoutakis, J E; Darviri, C; Demakakos, P T

    1999-11-01

    Young drivers (18-24) both in Greece and elsewhere appear to have high rates of road traffic accidents. Many factors contribute to the creation of these high road traffic accidents rates. It has been suggested that lifestyle is an important one. The main objective of this study is to find out and clarify the (potential) relationship between young drivers' lifestyle and the road traffic accident risk they face. Moreover, to examine if all the youngsters have the same elevated risk on the road or not. The sample consisted of 241 young Greek drivers of both sexes. The statistical analysis included factor analysis and logistic regression analysis. Through the principal component analysis a ten factor scale was created which included the basic lifestyle traits of young Greek drivers. The logistic regression analysis showed that the young drivers whose dominant lifestyle trait is alcohol consumption or drive without destination have high accident risk, while these whose dominant lifestyle trait is culture, face low accident risk. Furthermore, young drivers who are religious in one way or another seem to have low accident risk. Finally, some preliminary observations on how health promotion should be put into practice are discussed.

  17. 76 FR 39018 - Commercial Driver's License Testing and Commercial Learner's Permit Standards; Corrections

    Science.gov (United States)

    2011-07-05

    ... [Docket No. FMCSA-2007-27659] RIN 2126-AB02 Commercial Driver's License Testing and Commercial Learner's..., 2011, that will be effective on July 8, 2011. This final rule amends the commercial driver's license... to issue the commercial learner's permit (CLP). Since the final rule was published, FMCSA identified...

  18. Failure Modes Analysis for the MSU-RIA Driver Linac

    CERN Document Server

    Wu, Xiaoyu; Gorelov, Dmitry; Grimm, Terry L; Marti, Felix; York, Richard

    2005-01-01

    Previous end-to-end beam dynamics simulation studies* using experimentally-based input beams including alignment and rf errors and variation in charge-stripping foil thickness have indicated that the Rare Isotope Accelerator (RIA) driver linac proposed by MSU has adequate transverse and longitudinal acceptances to accelerate light and heavy ions to final energies of at least 400 MeV/u with beam powers of 100 to 400 kW. During linac operation, equipment loss due to, for example, cavity contamination, availability of cryogens, or failure of rf or power supply systems, will lead to at least a temporary loss of some of the cavities and focusing elements. To achieve high facility availability, each segment of the linac should be capable of adequate performance even with failed elements. Beam dynamics studies were performed to evaluate the linac performance under various scenarios of failed cavities and focusing elements with proper correction schemes, in order to prove the flexibility and robustness of the driver ...

  19. Deregulation and Macroeconomic Drivers Of Foreign Direct ...

    African Journals Online (AJOL)

    Deregulation and Macroeconomic Drivers Of Foreign Direct Investment In Nigerian Agriculture (1970 -2009): An Econometric Analysis. ... The study showed that foreign exchange and the economic deregulation policy of Nigerian government ...

  20. Drug involvement of fatally injured drivers

    Science.gov (United States)

    2010-11-01

    While data focusing on the danger of driving under the influence : of alcohol is readily available and often cited, less is : known or discussed about drivers under the influence of : other drugs. The Fatality Analysis Reporting System (FARS), : a ce...

  1. Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier

    Directory of Open Access Journals (Sweden)

    Gang Li

    2013-12-01

    Full Text Available Driving while fatigued is just as dangerous as drunk driving and may result in car accidents. Heart rate variability (HRV analysis has been studied recently for the detection of driver drowsiness. However, the detection reliability has been lower than anticipated, because the HRV signals of drivers were always regarded as stationary signals. The wavelet transform method is a method for analyzing non-stationary signals. The aim of this study is to classify alert and drowsy driving events using the wavelet transform of HRV signals over short time periods and to compare the classification performance of this method with the conventional method that uses fast Fourier transform (FFT-based features. Based on the standard shortest duration for FFT-based short-term HRV evaluation, the wavelet decomposition is performed on 2-min HRV samples, as well as 1-min and 3-min samples for reference purposes. A receiver operation curve (ROC analysis and a support vector machine (SVM classifier are used for feature selection and classification, respectively. The ROC analysis results show that the wavelet-based method performs better than the FFT-based method regardless of the duration of the HRV sample that is used. Finally, based on the real-time requirements for driver drowsiness detection, the SVM classifier is trained using eighty FFT and wavelet-based features that are extracted from 1-min HRV signals from four subjects. The averaged leave-one-out (LOO classification performance using wavelet-based feature is 95% accuracy, 95% sensitivity, and 95% specificity. This is better than the FFT-based results that have 68.8% accuracy, 62.5% sensitivity, and 75% specificity. In addition, the proposed hardware platform is inexpensive and easy-to-use.

  2. Acoustic Levitation With One Driver

    Science.gov (United States)

    Wang, T. G.; Rudnick, I.; Elleman, D. D.; Stoneburner, J. D.

    1985-01-01

    Report discusses acoustic levitation in rectangular chamber using one driver mounted at corner. Placement of driver at corner enables it to couple effectively to acoustic modes along all three axes. Use of single driver reduces cost, complexity and weight of levitation system below those of three driver system.

  3. Teen Drivers' Perceptions of Inattention and Cell Phone Use While Driving.

    Science.gov (United States)

    McDonald, Catherine C; Sommers, Marilyn S

    2015-01-01

    Inattention to the roadway, including cell phone use while driving (cell phone calls, sending and reading texts, mobile app use, and Internet use), is a critical problem for teen drivers and increases risk for crashes. Effective behavioral interventions for teens are needed in order to decrease teen driver inattention related to cell phone use while driving. However, teens' perceptions of mobile device use while driving is a necessary component for theoretically driven behavior change interventions. The purpose of this study was to describe teen drivers' perceptions of cell phone use while driving in order to inform future interventions to reduce risky driving. We conducted 7 focus groups with a total of 30 teen drivers, ages 16-18, licensed for ≤ 1 year in Pennsylvania. The focus group interview guide and analysis were based on the Theory of Planned Behavior, identifying the attitudes, perceived behavioral control, and norms about inattention to the roadway. Directed descriptive content analysis was used to analyze the focus group interviews. All focus groups were coded by 2 research team members and discrepancies were reconciled. Themes were developed based on the data. Teens had a mean age of 17.39 (SD = 0.52), mean length of licensure of 173.7 days (SD = 109.2; range 4-364), were 50% male and predominately white (90%) and non-Hispanic (97%). From the focus group data, 3 major themes emerged: (1) Recognizing the danger but still engaging; (2) Considering context; and (3) Formulating safer behaviors that might reduce risk. Despite recognizing that handheld cell phone use, texting, and social media app use are dangerous and distracting while driving, teens and their peers often engaged in these behaviors. Teens described how the context of the situation contributed to whether a teen would place or answer a call, write or respond to a text, or use a social media app. Teens identified ways in which they controlled their behaviors, although some still drew

  4. Risky driving behaviors for road traffic accident among drivers in Mekele city, Northern Ethiopia

    Directory of Open Access Journals (Sweden)

    Hassen Abrahim

    2011-12-01

    Full Text Available Abstract Background Due to its perception as a disease of development, road traffic accident and related injuries tend to be under recognized as a major health problem in developing countries. However, majority of the world's fatalities on the roads occur in low income and middle income countries. Since the main cause of road traffic accident is attributed to human risky behaviors, it is important to identify significant factors for risky behaviors of drivers. Methods A quantitative cross-sectional study with a sample size of 350 drivers was conducted in April 2011. The study was conducted among Taxi, Bajaj (three tire vehicles and private owned car drivers. After proportion to size allocation for Taxi (75, Baja (103 and private owned car (172 drivers, we used systematic random sampling method to identify illegible study subjects. Data was collected with face to face interview using a pretested questioner. Univariate, bivariate and multivariate analysis was done using SPSS version 16. Results The mean age of the respondents was 28.7 (SD 9.9. Majority were 339 (96.9% males. Significant number of the study subjects 233 (66.6% had risky driving behaviors. More than a quarter 100 (28.6% had less knowledge about basic traffic signs. Majority of drivers 181 (51.7% had negative attitude towards risky driving behaviors. Significant percent of them 148 (42.3% had a habit of using mobile phone while driving vehicle and 28 (9.7% had experience of driving after drinking alcohol. All the Bajaj, 97(62.6% house car and 58(37.4% taxi unfasten their seat belt while driving. Majority 303 (86.6% followed the recommended speed limit of driving. About 66 (18.9% of them had experience of punishment or warning by traffic polices in the previous 1 year and 77 (22% ever had car accident while driving. Conclusions Drivers of secondary education and with high average monthly income were more likely to have risky driving behavior. Having supportive attitude towards risky

  5. Rational-driver approximation in car-following theory

    Science.gov (United States)

    Lubashevsky, Ihor; Wagner, Peter; Mahnke, Reinhard

    2003-11-01

    The problem of a car following a lead car driven with constant velocity is considered. To derive the governing equations for the following car dynamics a cost functional is constructed. This functional ranks the outcomes of different driving strategies, which applies to fairly general properties of the driver behavior. Assuming rational-driver behavior, the existence of the Nash equilibrium is proved. Rational driving is defined by supposing that a driver corrects continuously the car motion to follow the optimal path minimizing the cost functional. The corresponding car-following dynamics is described quite generally by a boundary value problem based on the obtained extremal equations. Linearization of these equations around the stationary state results in a generalization of the widely used optimal velocity model. Under certain conditions (the “dense traffic” limit) the rational car dynamics comprises two stages, fast and slow. During the fast stage a driver eliminates the velocity difference between the cars, the subsequent slow stage optimizes the headway. In the dense traffic limit an effective Hamiltonian description is constructed. This allows a more detailed nonlinear analysis. Finally, the differences between rational and bounded rational driver behavior are discussed. The latter, in particular, justifies some basic assumptions used recently by the authors to construct a car-following model lying beyond the frameworks of rationality.

  6. Medical review practices for driver licensing volume 3: guidelines and processes in the United States.

    Science.gov (United States)

    2017-04-01

    This is the third of three reports examining driver medical review practices in the United States and how : they fulfill the basic functions of identifying, assessing, and rendering licensing decisions on medically or : functionally at-risk drivers. ...

  7. The Roles and Performance of Professional Driving Instructors in Novice Driver Education

    Directory of Open Access Journals (Sweden)

    Zulhaidi M. Jawi

    2017-08-01

    Full Text Available This review article aimed to analyse existing literature regarding the roles and performance of professional driving instructors (PDIs in novice driver education (DE. A systematic classification scheme was adopted to analyse identified articles to determine the study context of PDIs in novice DE, the competency level of PDIs in relation to experienced and learner drivers and the contributions of PDIs to the novice driver learning process. A total of 14 original research articles were identified, with no systematic reviews or meta-analyses available. Overall, all of the articles were found to be inadequate in providing an in-depth understanding of the roles and performance of PDIs in novice DE. There is an urgent need to improve current understanding of the roles of PDIs in novice DE and to work towards an internationally recognised PDI management approach.

  8. Analyzing Drivers' Attitude towards HUD System Using a Stated Preference Survey

    Directory of Open Access Journals (Sweden)

    Hongwei Guo

    2014-02-01

    Full Text Available It is very important for drivers to obtain driving information easily and efficiently. There are many advanced devices used for driving safety assistance. Of these assistance devices, the head-up display (HUD system can promote the reduction of driver's reaction time and improve spatial awareness. The drivers' attitude towards and preference for HUD system are crucial to design the functional framework and interface of HUD system. This study explored the relationships between drivers' attitude and HUD presentation image designs using stated preference data from questionnaire survey. The questionnaire included drivers' attitude towards the use of HUD and the preference for the information display zone and information display elements of the HUD. Contrastive analysis was adopted to examine the variations in drivers' attitude and preference for age and driving skills. According to the results, the participants have varying attitudes to HUD system, but most participants show relatively unified preference for the information display zone and information display elements. The results can also be used to customize a HUD presentation image which is in accordance with the drivers' feelings and preferences.

  9. Drivers of fishing at the household scale in Fiji

    Directory of Open Access Journals (Sweden)

    Rachel Dacks

    2018-03-01

    Full Text Available Coral reefs sustain millions of people worldwide, yet in recent years, social, environmental, and climate change have caused major declines in coral reef fisheries. Small-scale coral reef fisheries research has largely focused on community-level drivers of fishing, ignoring the heterogeneities that exist within communities. We used social-ecological indicators from 20 coastal villages in Fiji to identify potential fine-scale, context-appropriate drivers of estimated household fish catch. Indicators were developed based on a review of the literature, discussions with local experts, and a pilot study. Using structural equation models, we found that importance of fishing to income, household fish consumption, livelihood diversity, travel time to market, and coral reef area all positively affect estimated household-level fish catch. Our results contrast with findings from other larger scale studies by identifying that households further from markets had higher fishing frequency. We highlight the role of middlemen in these small-scale fisheries, who have been largely overlooked as drivers of fisheries catch. Our findings emphasize the need for household-level analyses to better understand the complexities in coral reef social-ecological systems to more effectively manage small-scale fisheries in communities.

  10. Prediction of vehicle crashes by drivers' characteristics and past traffic violations in Korea using a zero-inflated negative binomial model.

    Science.gov (United States)

    Kim, Dae-Hwan; Ramjan, Lucie M; Mak, Kwok-Kei

    2016-01-01

    Traffic safety is a significant public health challenge, and vehicle crashes account for the majority of injuries. This study aims to identify whether drivers' characteristics and past traffic violations may predict vehicle crashes in Korea. A total of 500,000 drivers were randomly selected from the 11.6 million driver records of the Ministry of Land, Transport and Maritime Affairs in Korea. Records of traffic crashes were obtained from the archives of the Korea Insurance Development Institute. After matching the past violation history for the period 2004-2005 with the number of crashes in year 2006, a total of 488,139 observations were used for the analysis. Zero-inflated negative binomial model was used to determine the incident risk ratio (IRR) of vehicle crashes by past violations of individual drivers. The included covariates were driver's age, gender, district of residence, vehicle choice, and driving experience. Drivers violating (1) a hit-and-run or drunk driving regulation at least once and (2) a signal, central line, or speed regulation more than once had a higher risk of a vehicle crash with respective IRRs of 1.06 and 1.15. Furthermore, female gender, a younger age, fewer years of driving experience, and middle-sized vehicles were all significantly associated with a higher likelihood of vehicle crashes. Drivers' demographic characteristics and past traffic violations could predict vehicle crashes in Korea. Greater resources should be assigned to the provision of traffic safety education programs for the high-risk driver groups.

  11. Wireless and wearable EEG system for evaluating driver vigilance.

    Science.gov (United States)

    Lin, Chin-Teng; Chuang, Chun-Hsiang; Huang, Chih-Sheng; Tsai, Shu-Fang; Lu, Shao-Wei; Chen, Yen-Hsuan; Ko, Li-Wei

    2014-04-01

    Brain activity associated with attention sustained on the task of safe driving has received considerable attention recently in many neurophysiological studies. Those investigations have also accurately estimated shifts in drivers' levels of arousal, fatigue, and vigilance, as evidenced by variations in their task performance, by evaluating electroencephalographic (EEG) changes. However, monitoring the neurophysiological activities of automobile drivers poses a major measurement challenge when using a laboratory-oriented biosensor technology. This work presents a novel dry EEG sensor based mobile wireless EEG system (referred to herein as Mindo) to monitor in real time a driver's vigilance status in order to link the fluctuation of driving performance with changes in brain activities. The proposed Mindo system incorporates the use of a wireless and wearable EEG device to record EEG signals from hairy regions of the driver conveniently. Additionally, the proposed system can process EEG recordings and translate them into the vigilance level. The study compares the system performance between different regression models. Moreover, the proposed system is implemented using JAVA programming language as a mobile application for online analysis. A case study involving 15 study participants assigned a 90 min sustained-attention driving task in an immersive virtual driving environment demonstrates the reliability of the proposed system. Consistent with previous studies, power spectral analysis results confirm that the EEG activities correlate well with the variations in vigilance. Furthermore, the proposed system demonstrated the feasibility of predicting the driver's vigilance in real time.

  12. Heavy-ion driver design and scaling

    International Nuclear Information System (INIS)

    Bieri, R.; Monsler, M.; Meier, W.; Stewart, L.

    1992-01-01

    Parametric models for scaling heavy-ion driver designs are described. Scaling of target performance and driver cost is done for driver parameters including driver energy, number of beams, type of superconductor used in focusing magnets, maximum magnetic field allowed at the superconducting windings, linear quadrupole array packing fraction mass, and ion charge state. The cumulative accelerator voltage and beam currents are determined from the Maschke limits on beam current for each choice of driver energy and post-acceleration pulse duration. The heavy-ion driver is optimized over the large available driver parameter space. Parametric studies and the choice of a base driver model are described in a companion paper

  13. Drivers behind the development of forest energy in Sweden

    International Nuclear Information System (INIS)

    Bjoerheden, Rolf

    2006-01-01

    The use of forest fuels has more than doubled in Sweden over the last 25-30 years. Almost a fifth of the utilized energy is now based on forest biomass. Concurrently, real prices of bioenergy have decreased to less than a third of what they were 25 years ago. Some principal driving forces behind this development are identified and discussed in this paper. The origin of this development was equally the result of a foreseen shortage of fibre and a reaction to this vulnerable position, made obvious through the 'oil crises'. Although Sweden has a long tradition of large-scale use of forest energy, 35 years ago she was almost totally dependent on imported oil. Forest mechanisation provided rational solutions to handling small diameter wood and stumps in conventional industrial processes, but also enabled the economical use of such wood for energy. During 3 decades of development, drivers and obstacles have shifted. What started to reduce dependence on fossil fuels was later driven by increased general environmental awareness. An emerging 'green' lobby blocked the development of nuclear power and expanded harnessing of hydropower which were alternative means of self-sufficiency. In the last 10-15 years, focus has changed again. Global concern for climatic change due to emissions of greenhouse gases is a powerful driver, endorsing increased use of CO 2 -neutral energy sources. Sustainability, resource cycling and the welfare of future generations are seen as goals for continued development. Ideals and policies do not, however, automatically induce change in regular operations. A set of drivers is identified, that has played the decisive role in practice. These include the direct technical-operational drivers, as well as indirect drivers through market development, taxation and other legislation

  14. Misinterpretation of the strategic significance of cost driver analysis: evidence from management accounting theory and practice

    Directory of Open Access Journals (Sweden)

    Henry T Palowski

    2011-06-01

    Full Text Available This paper traces the development of cost driver theory in the Strategy literature and reflects on misinterpretations of the strategic significance of the theory in related academic disciplines, notably Management Accounting. Management Accounting has largely been responsible for informing costing practice in a wide range of organizational settings. The paper considers one such application- i.e. the case of the Higher Education Funding Council’s (HEFC costing and pricing initiative for UK universities. The project was completed just under five years ago, although details of implementation are still ongoing, to a degree. The systems in place incorporate most of the theoretical flaws outlined in this paper. Rather than providing cost driver analysis to aid the strategic management process in universities, the system appears to represent little more than a compliance and reporting framework between university central administrations and the funding provider, HEFC.

  15. Human Leptospirosis Infection in Fiji: An Eco-epidemiological Approach to Identifying Risk Factors and Environmental Drivers for Transmission.

    Science.gov (United States)

    Lau, Colleen L; Watson, Conall H; Lowry, John H; David, Michael C; Craig, Scott B; Wynwood, Sarah J; Kama, Mike; Nilles, Eric J

    2016-01-01

    Leptospirosis is an important zoonotic disease in the Pacific Islands. In Fiji, two successive cyclones and severe flooding in 2012 resulted in outbreaks with 576 reported cases and 7% case-fatality. We conducted a cross-sectional seroprevalence study and used an eco-epidemiological approach to characterize risk factors and drivers for human leptospirosis infection in Fiji, and aimed to provide an evidence base for improving the effectiveness of public health mitigation and intervention strategies. Antibodies indicative of previous or recent infection were found in 19.4% of 2152 participants (81 communities on the 3 main islands). Questionnaires and geographic information systems data were used to assess variables related to demographics, individual behaviour, contact with animals, socioeconomics, living conditions, land use, and the natural environment. On multivariable logistic regression analysis, variables associated with the presence of Leptospira antibodies included male gender (OR 1.55), iTaukei ethnicity (OR 3.51), living in villages (OR 1.64), lack of treated water at home (OR 1.52), working outdoors (1.64), living in rural areas (OR 1.43), high poverty rate (OR 1.74), living Fiji are complex and multifactorial, with environmental factors playing crucial roles. With global climate change, severe weather events and flooding are expected to intensify in the South Pacific. Population growth could also lead to more intensive livestock farming; and urbanization in developing countries is often associated with urban and peri-urban slums where diseases of poverty proliferate. Climate change, flooding, population growth, urbanization, poverty and agricultural intensification are important drivers of zoonotic disease transmission; these factors may independently, or potentially synergistically, lead to enhanced leptospirosis transmission in Fiji and other similar settings.

  16. Prevalence of alcohol and other drugs and the concentrations in blood of drivers killed in road traffic crashes in Sweden.

    Science.gov (United States)

    Ahlner, Johan; Holmgren, Anita; Jones, Alan Wayne

    2014-03-01

    Drunk or drug-impaired drivers represent a major public health and societal problem worldwide. Because over 95% of drivers killed on the roads in Sweden are autopsied, reliable information is available about the use of alcohol and/or other drug before the crash. This retrospective 4-year study (2008-2011) used a forensic toxicology database (TOXBASE) to evaluate the concentrations of alcohol and other drugs in blood samples from drivers killed in road-traffic crashes. The mean age of all victims (N = 895) was 48 ± 20 years, and the majority were male (86%). In 504 drivers (56%), the results of toxicological analysis were negative and these victims were older; mean age (± SD) 47 ± 20 years, than alcohol positive cases (35 ± 14 years) and illicit drug users (34 ± 15 years). In 21% of fatalities, blood-alcohol concentration (BAC) was above the statutory limit for driving (0.2 g/L), although the median BAC was appreciably higher (1.72 g/L). Illicit drugs (mainly amphetamine and cannabis) were identified in ~7% of victims, either alone (2.5%), together with alcohol (1.8%) or a prescription drug (2%). The psychoactive prescription drugs identified were mainly benzodiazepines, z-hypnotics and tramadol, which were found in the blood of 7.6% of crash victims. The high median BAC in fatally-injured drivers speaks strongly towards alcohol-induced impairment as being responsible for the crash. Compared with alcohol, the prevalence of illicit and psychoactive prescription drugs was fairly low despite a dramatic increase in the number of drug-impaired drivers arrested by the police after a zero-tolerance law was introduced in 1999.

  17. Comprehensive profiling of DNA repair defects in breast cancer identifies a novel class of endocrine therapy resistance drivers.

    Science.gov (United States)

    Anurag, Meenakshi; Punturi, Nindo; Hoog, Jeremy; Bainbridge, Matthew N; Ellis, Matthew J; Haricharan, Svasti

    2018-05-23

    This study was undertaken to conduct a comprehensive investigation of the role of DNA damage repair (DDR) defects in poor outcome ER+ disease. Expression and mutational status of DDR genes in ER+ breast tumors were correlated with proliferative response in neoadjuvant aromatase inhibitor therapy trials (discovery data set), with outcomes in METABRIC, TCGA and Loi data sets (validation data sets), and in patient derived xenografts. A causal relationship between candidate DDR genes and endocrine treatment response, and the underlying mechanism, was then tested in ER+ breast cancer cell lines. Correlations between loss of expression of three genes: CETN2 (p<0.001) and ERCC1 (p=0.01) from the nucleotide excision repair (NER) and NEIL2 (p=0.04) from the base excision repair (BER) pathways were associated with endocrine treatment resistance in discovery data sets, and subsequently validated in independent patient cohorts. Complementary mutation analysis supported associations between mutations in NER and BER pathways and reduced endocrine treatment response. A causal role for CETN2, NEIL2 and ERCC1 loss in intrinsic endocrine resistance was experimentally validated in ER+ breast cancer cell lines, and in ER+ patient-derived xenograft models. Loss of CETN2, NEIL2 or ERCC1 induced endocrine treatment response by dysregulating G1/S transition, and therefore, increased sensitivity to CDK4/6 inhibitors. A combined DDR signature score was developed that predicted poor outcome in multiple patient cohorts. This report identifies DDR defects as a new class of endocrine treatment resistance drivers and indicates new avenues for predicting efficacy of CDK4/6 inhibition in the adjuvant treatment setting. Copyright ©2018, American Association for Cancer Research.

  18. [Reliability and validity of Driving Anger Scale in professional drivers in China].

    Science.gov (United States)

    Li, Z; Yang, Y M; Zhang, C; Li, Y; Hu, J; Gao, L W; Zhou, Y X; Zhang, X J

    2017-11-10

    Objective: To assess the reliability and validity of the Chinese version of Driving Anger Scale (DAS) in professional drivers in China and provide a scientific basis for the application of the scale in drivers in China. Methods: Professional drivers, including taxi drivers, bus drivers, truck drivers and school bus drivers, were selected to complete the questionnaire. Cronbach's α and split-half reliability were calculated to evaluate the reliability of DAS, and content, contract, discriminant and convergent validity were performed to measure the validity of the scale. Results: The overall Cronbach's α of DAS was 0.934 and the split-half reliability was 0.874. The correlation coefficient of each subscale with the total scale was 0.639-0.922. The simplified version of DAS supported a presupposed six-factor structure, explaining 56.371% of the total variance revealed by exploratory factor analysis. The DAS had good convergent and discriminant validity, with the success rate of calibration experiment of 100%. Conclusion: DAS has a good reliability and validity in professional drivers in China, and the use of DAS is worth promoting in divers.

  19. Statistical analysis of suprathermal electron drivers at 67P/Churyumov-Gerasimenko

    Science.gov (United States)

    Broiles, Thomas W.; Burch, J. L.; Chae, K.; Clark, G.; Cravens, T. E.; Eriksson, A.; Fuselier, S. A.; Frahm, R. A.; Gasc, S.; Goldstein, R.; Henri, P.; Koenders, C.; Livadiotis, G.; Mandt, K. E.; Mokashi, P.; Nemeth, Z.; Odelstad, E.; Rubin, M.; Samara, M.

    2016-11-01

    We use observations from the Ion and Electron Sensor (IES) on board the Rosetta spacecraft to study the relationship between the cometary suprathermal electrons and the drivers that affect their density and temperature. We fit the IES electron observations with the summation of two kappa distributions, which we characterize as a dense and warm population (˜10 cm-3 and ˜16 eV) and a rarefied and hot population (˜0.01 cm-3 and ˜43 eV). The parameters of our fitting technique determine the populations' density, temperature, and invariant kappa index. We focus our analysis on the warm population to determine its origin by comparing the density and temperature with the neutral density and magnetic field strength. We find that the warm electron population is actually two separate sub-populations: electron distributions with temperatures above 8.6 eV and electron distributions with temperatures below 8.6 eV. The two sub-populations have different relationships between their density and temperature. Moreover, the two sub-populations are affected by different drivers. The hotter sub-population temperature is strongly correlated with neutral density, while the cooler sub-population is unaffected by neutral density and is only weakly correlated with magnetic field strength. We suggest that the population with temperatures above 8.6 eV is being heated by lower hybrid waves driven by counterstreaming solar wind protons and newly formed, cometary ions created in localized, dense neutral streams. To the best of our knowledge, this represents the first observations of cometary electrons heated through wave-particle interactions.

  20. Older drivers : a review.

    NARCIS (Netherlands)

    Hakamies-Blomqvist, L. Sirén, A. & Davidse, R.J.

    2004-01-01

    The proportion of senior citizens (aged 65+) will grow from about 15 per cent in the year 2000 to about 30 per cent in the year 2050. The share of older drivers in the driver population will grow even faster because of increasing licensing rates among the ageing population. Older drivers do not have

  1. Drivers of Environmental Institutional Dynamics in Decentralized African Countries

    Science.gov (United States)

    Hassenforder, Emeline; Barreteau, Olivier; Daniell, Katherine Anne; Pittock, Jamie; Ferrand, Nils

    2015-12-01

    This paper builds on the assumption that an effective approach to support the sustainability of natural resource management initiatives is institutional "bricolage." We argue that participatory planning processes can foster institutional bricolage by encouraging stakeholders to make their own arrangements based on the hybridization of old and new institutions. This papers aims at identifying how participatory process facilitators can encourage institutional bricolage. Specifically the paper investigates the specific contextual and procedural drivers of institutional dynamics in two case studies: the Rwenzori region in Uganda and the Fogera woreda in Ethiopia. In both cases, participatory planning processes were implemented. This research has three innovative aspects. First, it establishes a clear distinction between six terms which are useful for identifying, describing, and analyzing institutional dynamics: formal and informal; institutions and organizations; and emergence and change. Secondly, it compares the contrasting institutional dynamics in the two case studies. Thirdly, process-tracing is used to identify contextual and procedural drivers to institutional dynamics. We assume that procedural drivers can be used as "levers" by facilitators to trigger institutional bricolage. We found that facilitators need to pay particular attention to the institutional context in which the participatory planning process takes place, and especially at existing institutional gaps or failures. We identified three clusters of procedural levers: the selection and engagement of participants; the legitimacy, knowledge, and ideas of facilitators; and the design of the process, including the scale at which it is developed, the participatory tools used and the management of the diversity of frames.

  2. Understanding international postgraduate studies. Drivers from the supply and the demand side.

    Science.gov (United States)

    Delgado-Serrano, M M; Gomez-Bruque, J L; Ambrosio-Albala, M J; Llamas-Moreno, B

    2010-01-01

    Changes in the global political and socioeconomic scenario are fostering the internationalization of master and doctoral programme as one of the current priorities for Universities. Changes in European higher education such as those stimulated by the Bologna process and the introduction of double, multiple or joint Master degree programmes together with the Erasmus Mundus programme are enhancing the competition of European universities in the global education market place. Universities compete to attract the best students, both national and international, to their postgraduate programmes. However, the design and launch of international masters or doctorates imply working with a different logic to the one used in national programmes. Complexity, diversity and differentiation are drivers of international education and as happens in complex systems the properties and features of the final products are different from the existing in the individual components. The aim of this paper is to understand international studies as complex systems and to analyze and identify factors affecting to the different components involved in the implementation of these programmes. The new approaches and the interrelations in aspects such as academic, administrative or economic management, quality assurance and marketing issues are examined and drivers, challenges and good practices where possible are identified. The analysis has been carried out considering the point of view of both Universities (supply-led approach) and students and employers (demand-led approach). From the analysis have emerged important questions that show the interrelation pattern and that can be useful when designing and implementing international postgraduate studies. Universities and students tend to agree about many issues however, some divergences have also been identified which make the results of the research more valuable.

  3. Drivers of wetland conversion: a global meta-analysis.

    Science.gov (United States)

    van Asselen, Sanneke; Verburg, Peter H; Vermaat, Jan E; Janse, Jan H

    2013-01-01

    Meta-analysis of case studies has become an important tool for synthesizing case study findings in land change. Meta-analyses of deforestation, urbanization, desertification and change in shifting cultivation systems have been published. This present study adds to this literature, with an analysis of the proximate causes and underlying forces of wetland conversion at a global scale using two complementary approaches of systematic review. Firstly, a meta-analysis of 105 case-study papers describing wetland conversion was performed, showing that different combinations of multiple-factor proximate causes, and underlying forces, drive wetland conversion. Agricultural development has been the main proximate cause of wetland conversion, and economic growth and population density are the most frequently identified underlying forces. Secondly, to add a more quantitative component to the study, a logistic meta-regression analysis was performed to estimate the likelihood of wetland conversion worldwide, using globally-consistent biophysical and socioeconomic location factor maps. Significant factors explaining wetland conversion, in order of importance, are market influence, total wetland area (lower conversion probability), mean annual temperature and cropland or built-up area. The regression analyses results support the outcomes of the meta-analysis of the processes of conversion mentioned in the individual case studies. In other meta-analyses of land change, similar factors (e.g., agricultural development, population growth, market/economic factors) are also identified as important causes of various types of land change (e.g., deforestation, desertification). Meta-analysis helps to identify commonalities across the various local case studies and identify which variables may lead to individual cases to behave differently. The meta-regression provides maps indicating the likelihood of wetland conversion worldwide based on the location factors that have determined historic

  4. A Multivariate Approach to Study Drivers of Land-Cover Changes through Remote Sensing in the Dry Chaco of Argentina

    Directory of Open Access Journals (Sweden)

    Laura E. Hoyos

    2018-05-01

    Full Text Available Land-cover changes are driven by different combinations of biophysical, economic, and cultural drivers that are acting at different scales. We aimed to (1 analyze trends in land use and land cover changes (conversion, abandonment, forest persistence in the dry Chaco in central Argentina (1979 to 2010, and (2 examine how physical and socio-economic drivers have influenced those changes. Based on Landsat data, we obtained the proportion of 16 classes of land cover changes for 81 individual circular samples. We performed a Principal Component Analysis (PCA to identify the main trends of change across the whole region. To explore the relationships between the changes in land cover and drivers, we developed a GIS comprising thematic maps representing the different drivers. The drivers were first correlated with the two first PCA axes, and in a second approximation were subjected to multiple regression analyses. We obtained in this way the best model to explain each PCA axis. The highest conversion, as indicated by PCA axis 1, was experienced by flat areas close to roads and with the highest annual rainfall. Besides agricultural expansion that was triggered by precipitation increase as a major driver of forest conversion, changes that were observed during the period 1979–2010, may have also been influenced by several other driving forces acting at different spatial scales and contexts.

  5. Eco-routing: More green drivers means more benefits?

    Energy Technology Data Exchange (ETDEWEB)

    Valdes Serrano, C.; Perez Prada, F.; Monzon de Caceres, A.

    2016-07-01

    Information and Communications Technology (ICT)/Information and Technology Services (ITS) can play an important role in the transport sector, helping in maintaining accessibility and contemporarily optimizing the use of the vehicles. Among these ICT measures, eco-routing seems a promising one. Drivers normally follow the route which minimizes their generalized costs, normally time and money. But environmental concern is increasing, and drivers are starting to think about the effects of their driving. This means including CO2 emissions or fuel consumption in their route choice. But is this always positive, independently of the traffic situation and the penetration level of green drivers? This articles aims to analyze what happens in terms of fuel consumption, CO2 emissions and travel time, when different penetration levels of drivers, and with different traffic situations, follow the route of minimum fuel consumption instead of the conventional generalized costs. The analysis is based on a modelling process using a transport model of the whole region of Madrid. A total of 18 scenarios are considered: 3 reference scenarios (for congested, medium and low flow traffic situations), and 5 different penetration levels of green drivers for each traffic situation. Results show how impact varies substantially with the level of traffic and, also, that the more the best is not always true. (Author)

  6. Test analysis and research on static choice reaction ability of commercial vehicle drivers

    Science.gov (United States)

    Zhang, Lingchao; Wei, Lang; Qiao, Jie; Tian, Shun; Wang, Shengchang

    2017-03-01

    Drivers' choice reaction ability has a certain relation with safe driving. It has important significance to research its influence on traffic safety. Firstly, the paper uses a choice reaction detector developed by research group to detect drivers' choice reaction ability of commercial vehicles, and gets 2641 effective samples. Then by using mathematical statistics method, the paper founds that average reaction time from accident group has no difference with non-accident group, and then introduces a variance rate of reaction time as a new index to replace it. The result shows that the test index choice reaction errors and variance rate of reaction time have positive correlations with accidents. Finally, according to testing results of the detector, the paper formulates a detection threshold with four levels for helping transportation companies to assess commercial vehicles drivers.

  7. Understanding Collateral Evolution in Linux Device Drivers

    DEFF Research Database (Denmark)

    Padioleau, Yoann; Lawall, Julia Laetitia; Muller, Gilles

    2006-01-01

    no tools to help in this process, collateral evolution is thus time consuming and error prone.In this paper, we present a qualitative and quantitative assessment of collateral evolution in Linux device driver code. We provide a taxonomy of evolutions and collateral evolutions, and use an automated patch......-analysis tool that we have developed to measure the number of evolutions and collateral evolutions that affect device drivers between Linux versions 2.2 and 2.6. In particular, we find that from one version of Linux to the next, collateral evolutions can account for up to 35% of the lines modified in such code....

  8. Young drivers and effects from graduated driving license

    DEFF Research Database (Denmark)

    Tønning, Charlotte; Agerholm, Niels

    2016-01-01

    be expected from advanced driver training, and if possible to identify, which measures there have the best effect on traffic safety. Method or methodological issues The method is literature studies. All Scandinavian-written reports and articles are screened. Likewise, are ScienceDirect, Google Scholar...

  9. Flow processes in electric discharge drivers

    Science.gov (United States)

    Baganoff, D.

    1975-01-01

    The performance of an electric discharge shock tube is discussed from the point of view that the conditions at the sonic station are the primary controlling variables (likewise in comparing designs), and that the analysis of the flow on either side of the sonic station should be done separately. The importance of considering mass-flow rate in matching a given driver design to the downstream flow required for a particular shock-wave speed is stressed. It is shown that a driver based on the principle of liquid injection (of H2) is superior to one based on the Ludwieg tube, because of the greater mass-flow rate and the absence of a massive diaphragm.

  10. Electricity investments and development of power generation capacities: an approach of the drivers for investment choices in Europe regarding nuclear energy

    International Nuclear Information System (INIS)

    Shoai-Tehrani, Bianka

    2014-01-01

    In a context of growing energy prices and climate change mitigation, the thesis addresses the issues of investments in power generation capacities and in particular nuclear capacities. Given that the Generation IV of nuclear reactors is supposed to be ready in 2040 for industrial deployment, the purpose of the thesis is to study the conditions for electricity investments in France and Europe within this horizon, in order to assess development perspectives for nuclear energy and for potential emergence of Generation IV on the European market. To do so, it is necessary to study the mechanisms at stake in investment choices taking into account all power generating technologies. Economic theory usually bases the choice on long-term economic rationality, which does not allow explain the actual choices observed in European electricity mix. The objective of the research work is thus to identify investment choice drivers and to propose an approach describing the behavior of investors in a more realistic way. A multidisciplinary approach was adopted to explore the question. It combines a historical analysis of drivers evolution according to historical context, a structural analysis of these drivers to identify favorable scenarios for future nuclear reactors, a value creation approach to replicate investors' preferences in those scenarios, and last, a value option approach focusing on nuclear technologies and comparing competitiveness of Generation IV reactors with current reactors. As a result, only strong climate policy combined to government support to nuclear energy could allow industrial development of Generation IV, while high progress of renewables does not lessen the attractiveness of nuclear energy.On a international level, such analysis could be broaden by taking into account the drivers specific to each area of the world, such as highly growing demand in developing countries. (author)

  11. Electricity investments and development of power generation capacities: An approach of the drivers for investment choices in Europe regarding nuclear energy

    International Nuclear Information System (INIS)

    Shoai-Tehrani, Bianka

    2014-01-01

    In a context of growing energy prices and climate change mitigation, the thesis addresses the issues of investments in power generation capacities and in particular nuclear capacities. Given that the Generation IV of nuclear reactors is supposed to be ready in 2040 for industrial deployment, the purpose of the thesis is to study the conditions for electricity investments in France and Europe within this horizon, in order to assess development perspectives for nuclear energy and for potential emergence of Generation IV on the European market. To do so, it is necessary to study the mechanisms at stake in investment choices taking into account all power generating technologies. Economic theory usually bases the choice on long-term economic rationality, which does not allow explain the actual choices observed in European electricity mix. The objective of the research work is thus to identify investment choice drivers and to propose an approach describing the behavior of investors in a more realistic way. A multidisciplinary approach was adopted to explore the question. It combines a historical analysis of drivers evolution according to historical context, a structural analysis of these drivers to identify favorable scenarios for future nuclear reactors, a value creation approach to replicate investors' preferences in those scenarios, and last, a value option approach focusing on nuclear technologies and comparing competitiveness of Generation IV reactors with current reactors. As a result, only strong climate policy combined to government support to nuclear energy could allow industrial development of Generation IV, while high progress of renewables does not lessen the attractiveness of nuclear energy. On a international level, such analysis could be broaden by taking into account the drivers specific to each area of the world, such as highly growing demand in developing countries. (author)

  12. Relative Linkages of Stream Dissolved Oxygen with the Climatic, Hydrological, and Biogeochemical Drivers across the East Coast of U.S.A.

    Science.gov (United States)

    Abdul-Aziz, O. I.; Ahmed, S.

    2017-12-01

    Dissolved oxygen (DO) is a key indicator of stream water quality and ecosystem health. However, the temporal dynamics of stream DO is controlled by a multitude of interacting environmental drivers. The relative linkages of stream DO with the relevant environmental drivers were determined in this study across the U.S. East Coast by employing a systematic data analytics approach. The study analyzed temporal data for 51 water quality monitoring stations from USGS NWIS and EPA STORET databases. Principal component analysis and factor analysis, along with Pearson's correlation analysis, were applied to identify the interrelationships and unravel latent patterns among DO and the environmental drivers. Power law based partial least squares regression models with a bootstarp Monte-Carlo procedure (1000 iterations) were developed to reliably estimate the environmental linkages of DO by resolving multicollinearity. Based on the similarity of dominant drivers, the streams were categorized into three distinct environmental regimes. Stream DO in the northern part of temperate zone (e.g., northeast coast) had the strongest linkage with water temperature; suggesting an environmental regime with dominant climatic control. However, stream DO in the tropical zones (e.g., southeast Florida) was mostly driven by pH; indicating an environmental regime likely controlled by redox chemistry. Further, a transitional regime was found between the temperate and tropical zones, where stream DO was controlled by both water temperature and pH. The results suggested a strong effect of the climatic gradient (temperate to tropical) on stream DO along the East Coast. The identified environmental regimes and the regime-specific relative linkages provided new information on the dominant controls of coastal stream water quality dynamics. The findings would guide the planning and management of coastal stream water quality and ecosystem health across the U.S. East Coast and around the world.

  13. Understanding the drivers on medical workloads: an analysis of spectators at the Australian Football League.

    Science.gov (United States)

    Zeitz, Kathryn; Haghighi, Pari Delir; Burstein, Frada; Williams, Jeffrey

    2013-06-01

    The present study was designed to further understand the psychosocial drivers of crowds impacting on the demand for healthcare. This involved analysing different spectator crowds for medical usage at mass gatherings; more specifically, did different football team spectators (of the Australian Football League) generate different medical usage rates. In total, 317 games were analysed from 10 venues over 2 years. Data were analysed by the ANOVA and Pearson correlation tests. RESULTS; Spectators who supported different football teams generated statistically significant differences in patient presentation rates (PPR) (F15, 618=1.998, P=0.014). The present study confirmed previous findings that there is a positive correlation between the crowd size and PPR at mass gatherings but found a negative correlation between density and PPR (r = -0.206, n=317, Pemergency medical care. In measuring demand for emergency medical services there is a need to develop a more sophisticated understanding of a variety of drivers in addition to traditional metrics such as temperature, crowd size and other physical elements. In this study we saw that spectators who supported different football teams generated statistically significant differences in PPR. What is known about this topic? Understanding the drivers of emergency medical care is most important in the mass gathering setting. There has been minimal analysis of psychological 'crowd' variables. What does this paper add? This study explores the psychosocial impact of supporting a different team on the PPR of spectators at Australian Football League matches. The value of collecting and analysing these types of data sets is to support more balanced planning, better decision support and knowledge management, and more effective emergency medical demand management. What are the implications for practitioners? This information further expands the body of evidence being created to understand the drivers of emergency medical demand and usage

  14. Global desertification: Drivers and feedbacks

    Science.gov (United States)

    D'Odorico, Paolo; Bhattachan, Abinash; Davis, Kyle F.; Ravi, Sujith; Runyan, Christiane W.

    2013-01-01

    Desertification is a change in soil properties, vegetation or climate, which results in a persistent loss of ecosystem services that are fundamental to sustaining life. Desertification affects large dryland areas around the world and is a major cause of stress in human societies. Here we review recent research on the drivers, feedbacks, and impacts of desertification. A multidisciplinary approach to understanding the drivers and feedbacks of global desertification is motivated by our increasing need to improve global food production and to sustainably manage ecosystems in the context of climate change. Classic desertification theories look at this process as a transition between stable states in bistable ecosystem dynamics. Climate change (i.e., aridification) and land use dynamics are the major drivers of an ecosystem shift to a “desertified” (or “degraded”) state. This shift is typically sustained by positive feedbacks, which stabilize the system in the new state. Desertification feedbacks may involve land degradation processes (e.g., nutrient loss or salinization), changes in rainfall regime resulting from land-atmosphere interactions (e.g., precipitation recycling, dust emissions), or changes in plant community composition (e.g., shrub encroachment, decrease in vegetation cover). We analyze each of these feedback mechanisms and discuss their possible enhancement by interactions with socio-economic drivers. Large scale effects of desertification include the emigration of “environmental refugees” displaced from degraded areas, climatic changes, and the alteration of global biogeochemical cycles resulting from the emission and long-range transport of fine mineral dust. Recent research has identified some possible early warning signs of desertification, which can be used as indicators of resilience loss and imminent shift to desert-like conditions. We conclude with a brief discussion on some desertification control strategies implemented in different

  15. Executive report : toll roads, toll rates, and driver behavior.

    Science.gov (United States)

    2012-12-01

    State and federal research has examined toll roads and attempted to identify methods to make toll roads a more attractive option for drivers. Researchers examined various views of toll road transactions and concluded: : Truckers and trucking comp...

  16. Excessive sleepiness prevalence in public transportation drivers of a developing country.

    Science.gov (United States)

    Risco, Jorge; Ruiz, Paulo; Mariños, Alejandro; Juarez, Alan; Ramos, Mariana; Salmavides, Frine; Vega, Johann; Kruger, Hever; Vizcarra, Darwin

    2013-01-01

    To determine the prevalence of excessive sleepiness (ES) in bus and auto-rickshaw drivers from Lima, Peru. We conducted a cross-sectional study of Lima's bus and auto-rickshaw drivers to estimate ES prevalence in this population. Survey sites were private transportation companies, systematically selected with a snowball approach. ES was assessed with the Spanish-validated version of the Epworth sleep questionnaire (ESQ) with a cutoff score >10. We obtained relevant demographic information. Four hundred and thirty-four bus and auto-rickshaw drivers were eligible for analysis. The overall ES prevalence was 32.7 percent (95% confidence interval [CI]: 28-37.2). ES prevalence was higher in bus drivers than in auto-rickshaw drivers, 38 percent (95% CI: 31.7-44.2) and 26.9 percent (95% CI: 20.6-33.1), respectively (P = .01). We used data from all subjects to obtain regression equations for ESQ score with several predictors. Being a bus driver, working additional nighttime hours per week, having depression or anxiety, and alcohol abuse had small but significant associations with ESQ scores. ES prevalence in Lima's public transportation drivers is in a medium range as suggested by previous regional studies.

  17. Driver injury in near- and far-side impacts: Update on the effect of front passenger belt use.

    Science.gov (United States)

    Parenteau, Chantal S; Viano, David C

    2018-04-03

    This is a study that updates earlier research on the influence of a front passenger on the risk for severe driver injury in near-side and far-side impacts. It includes the effects of belt use by the driver and passenger, identifies body regions involved in driver injury, and identifies the sources for severe driver head injury. 1997-2015 NASS-CDS data were used to investigate the risk for Maximum Abbreviated Injury Scale (MAIS) 4 + F driver injury in near-side and far-side impacts by front passenger belt use and as a sole occupant in the driver seat. Side impacts were identified with GAD1 = L or R without rollover (rollover ≤ 0). Front-outboard occupants were included without ejection (ejection = 0). Injury severity was defined by MAIS and fatality (F) by TREATMNT = 1 or INJSEV = 4. Weighted data were determined. The risk for MAIS 4 + F was determined using the number of occupants with known injury status MAIS 0 + F. Standard errors were determined. Overall, belted drivers had greater risks for severe injury in near-side than far-side impacts. As a sole driver, the risk was 0.969 ± 0.212% for near-side and 0.313 ± 0.069% for far-side impacts (P impacts. The risk was 2.17 times greater with an unbelted passenger (NS). The driver's risk was 0.782 ± 0.431% with an unbelted passenger and 0.361% ± 0.114% with a belted passenger in far-side impacts. The risk was 1.57 times greater with an unbelted passenger (P impacts, the leading sources for AIS 4+ head injury were the left B-pillar, roof, and other vehicle. For far-side impacts, the leading sources were the other occupant, right interior, and roof (8.5%). Seat belt use by a passenger lowered the risk of severe driver injury in side impacts. The reduction was 54% in near-side impacts and 36% in far-side impacts. Belted drivers experienced mostly head and thoracic AIS 4+ injuries. Head injuries in the belted drivers were from contact with the side interior and the other occupant, even with a belted passenger.

  18. Cognitive characteristics of older Japanese drivers.

    Science.gov (United States)

    Susilowati, Indri H; Yasukouchi, Akira

    2012-02-29

    Some causes of accidents among older drivers are: not paying attention to traffic signals; missing stop lines; and having to deal with and misjudging emergency situations. These causes of accidents reveal problems with attention and cognition. Such incidents are also related to driver perception and stress-coping mechanisms. It is important to examine the relation of stress reactions to attention and cognition as a factor influencing the causes of accidents commonly involving older drivers. Subjects were 10 young drivers (23.3 ± 3.33 years) and 25 older drivers divided into two groups (older1 [60 to 65 years] and older2 [> 65 years]). This study revealed the correlation within driver stress inventory and driver coping questionnaires parameters was observed only in older drivers. They also needed a longer response time for Trail Making Test A and B. The factors affected the attention and cognition of older drivers by age but not driving experience itself, and coping parameters such as emotion focus, reappraisal, and avoidance were not included as stress inventory parameters. Being prone to fatigue was less for younger drivers than older drivers. Because they have shorter distances, shorter drive times, and no need for expressways, older drivers also had a significantly lower risk of thrill-seeking behaviour and more patience. The intervention addressing their attention skills, aggressive feelings, and emotion focus should be considered. The technological improvements in cars will make older drivers feel safer and make driving easier which might lower the attention paid to the road, and regular driving training might be needed to assess and enhance their safety.

  19. Driver performance and attention allocation in use of logo signs on freeway exit ramps.

    Science.gov (United States)

    Zahabi, Maryam; Machado, Patricia; Lau, Mei Ying; Deng, Yulin; Pankok, Carl; Hummer, Joseph; Rasdorf, William; Kaber, David B

    2017-11-01

    The objective of this research was to quantify the effects of driver age, ramp signage configuration, including number of panels, logo format and sign familiarity, on driver performance and attention allocation when exiting freeways. Sixty drivers participated in a simulator study and analysis of variance models were used to assess response effects of the controlled manipulations. Results revealed elderly drivers to demonstrate worse performance and conservative control strategies as compared to middle-aged and young drivers. Elderly drivers also exhibited lower off-road fixation frequency and shorter off-road glance durations compared to middle-aged and young drivers. In general, drivers adopted a more conservative strategy when exposed to nine-panel signs as compared to six-panel signs and were more accurate in target detection when searching six-panels vs. nine and with familiar vs. unfamiliar logos. These findings provide an applicable guide for agency design of freeway ramp signage accounting for driver demographics. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. Factors associated with suicide ideation among subway drivers in Korea.

    Science.gov (United States)

    Byun, Junsu; Kim, Hyoung-Ryoul; Lee, Hye-Eun; Kim, Se-Eun; Lee, Jongin

    2016-01-01

    There were several suicide events of subway drivers in Korea. The aim of this study is to explore work-related factors associated with suicide ideation among subway drivers. We analyzed data from 980 male subway drivers. A section of the Korean version of the Composite International Diagnostic Interview (K-CIDI 2.1) was administered by trained interviewers to judge whether a driver has suicide ideation and to diagnose psychiatric disorders. A questionnaire was also administered to collect data on sociodemographic characteristics, work environments, occupational stress, person under train (PUT) experience, and work-related problems. Occupational stress was examined by using the Korean Occupational Stress Scale (KOSS). Logistic regression was applied to evaluate the association between work-related factors and suicide ideation among subway drivers. Regarding work-related problems, conflict with passengers and sudden stops due to the emergency bell were significantly associated with suicide ideation. MDD, PTSD, and panic disorder were strongly associated with suicide ideation. In the analysis of occupational stress, insufficient job control (OR 2.34) and lack of reward (OR 2.52) were associated with suicide ideation even after being adjusted for psychiatric disorders and other work-related factors. Insufficient job control and lack of reward were associated with suicide ideation among subway drivers. Strategies for drivers to have autonomy while working and to achieve effort-reward balance should be implemented. Furthermore, drivers who have experienced negative work-related problems should be managed appropriately.

  1. X3 expansion tube driver gas spectroscopy and temperature measurements

    Science.gov (United States)

    Parekh, V.; Gildfind, D.; Lewis, S.; James, C.

    2018-07-01

    The University of Queensland's X3 facility is a large, free-piston driven expansion tube used for super-orbital and high Mach number scramjet aerothermodynamic studies. During recent development of new scramjet test flow conditions, experimentally measured shock speeds were found to be significantly lower than that predicted by initial driver performance calculations. These calculations were based on ideal, isentropic compression of the driver gas and indicated that loss mechanisms, not accounted for in the preliminary analysis, were significant. The critical determinant of shock speed is peak driver gas sound speed, which for a given gas composition depends on the peak driver gas temperature. This temperature may be inaccurately estimated if an incorrect fill temperature is assumed, or if heat losses during driver gas compression are significant but not accounted for. For this study, the ideal predicted peak temperature was 3750 K, without accounting for losses. However, a much lower driver temperature of 2400 K is suggested based on measured experimental shock speeds. This study aimed to measure initial and peak driver gas temperatures for a representative X3 operating condition. Examination of the transient temperatures of the driver gas and compression tube steel wall during the initial fill process showed that once the filling process was complete, the steady-state driver gas temperature closely matched the tube wall temperature. Therefore, while assuming the gas is initially at the ambient laboratory temperature is not a significant source of error, it can be entirely mitigated by simply monitoring tube wall temperature. Optical emission spectroscopy was used to determine the driver gas spectra after diaphragm rupture; the driver gas emission spectrum exhibited a significant continuum radiation component, with prominent spectral lines attributed to contamination of the gas. A graybody approximation of the continuum suggested a peak driver gas temperature of

  2. X3 expansion tube driver gas spectroscopy and temperature measurements

    Science.gov (United States)

    Parekh, V.; Gildfind, D.; Lewis, S.; James, C.

    2017-11-01

    The University of Queensland's X3 facility is a large, free-piston driven expansion tube used for super-orbital and high Mach number scramjet aerothermodynamic studies. During recent development of new scramjet test flow conditions, experimentally measured shock speeds were found to be significantly lower than that predicted by initial driver performance calculations. These calculations were based on ideal, isentropic compression of the driver gas and indicated that loss mechanisms, not accounted for in the preliminary analysis, were significant. The critical determinant of shock speed is peak driver gas sound speed, which for a given gas composition depends on the peak driver gas temperature. This temperature may be inaccurately estimated if an incorrect fill temperature is assumed, or if heat losses during driver gas compression are significant but not accounted for. For this study, the ideal predicted peak temperature was 3750 K, without accounting for losses. However, a much lower driver temperature of 2400 K is suggested based on measured experimental shock speeds. This study aimed to measure initial and peak driver gas temperatures for a representative X3 operating condition. Examination of the transient temperatures of the driver gas and compression tube steel wall during the initial fill process showed that once the filling process was complete, the steady-state driver gas temperature closely matched the tube wall temperature. Therefore, while assuming the gas is initially at the ambient laboratory temperature is not a significant source of error, it can be entirely mitigated by simply monitoring tube wall temperature. Optical emission spectroscopy was used to determine the driver gas spectra after diaphragm rupture; the driver gas emission spectrum exhibited a significant continuum radiation component, with prominent spectral lines attributed to contamination of the gas. A graybody approximation of the continuum suggested a peak driver gas temperature of

  3. Google glass: a driver distraction cause or cure?

    Science.gov (United States)

    Sawyer, Ben D; Finomore, Victor S; Calvo, Andres A; Hancock, P A

    2014-11-01

    We assess the driving distraction potential of texting with Google Glass (Glass), a mobile wearable platform capable of receiving and sending short-message-service and other messaging formats. A known roadway danger, texting while driving has been targeted by legislation and widely banned. Supporters of Glass claim the head-mounted wearable computer is designed to deliver information without concurrent distraction. Existing literature supports the supposition that design decisions incorporated in Glass might facilitate messaging for drivers. We asked drivers in a simulator to drive and use either Glass or a smartphone-based messaging interface, then interrupted them with an emergency brake event. Both the response event and subsequent recovery were analyzed. Glass-delivered messages served to moderate but did not eliminate distracting cognitive demands. A potential passive cost to drivers merely wearing Glass was also observed. Messaging using either device impaired driving as compared to driving without multitasking. Glass in not a panacea as some supporters claim, but it does point the way to design interventions that effect reduced load in multitasking. Discussions of these identified benefits are framed within the potential of new in-vehicle systems that bring both novel forms of distraction and tools for mitigation into the driver's seat.

  4. Perceptions of public transport travel time and their effect on choice-sets among car drivers

    NARCIS (Netherlands)

    N.J.A. van Exel (Job); P. Rietveld (Piet)

    2010-01-01

    textabstractCar drivers' perceptions of the quality of alternative travel modes have been identified as a barrier for including these alternatives in their choice sets. The present study investigated the accuracy of car drivers' perceptions of public transport (PT) travel time and the potential

  5. KDiamend: a package for detecting key drivers in a molecular ecological network of disease.

    Science.gov (United States)

    Lyu, Mengxuan; Chen, Jiaxing; Jiang, Yiqi; Dong, Wei; Fang, Zhou; Li, Shuaicheng

    2018-04-11

    Microbial abundance profiles are applied widely to understand diseases from the aspect of microbial communities. By investigating the abundance associations of species or genes, we can construct molecular ecological networks (MENs). The MENs are often constructed by calculating the Pearson correlation coefficient (PCC) between genes. In this work, we also applied multimodal mutual information (MMI) to construct MENs. The members which drive the concerned MENs are referred to as key drivers. We proposed a novel method to detect the key drivers. First, we partitioned the MEN into subnetworks. Then we identified the most pertinent subnetworks to the disease by measuring the correlation between the abundance pattern and the delegated phenotype-the variable representing the disease phenotypes. Last, for each identified subnetwork, we detected the key driver by PageRank. We developed a package named KDiamend and applied it to the gut and oral microbial data to detect key drivers for Type 2 diabetes (T2D) and Rheumatoid Arthritis (RA). We detected six T2D-relevant subnetworks and three key drivers of them are related to the carbohydrate metabolic process. In addition, we detected nine subnetworks related to RA, a disease caused by compromised immune systems. The extracted subnetworks include InterPro matches (IPRs) concerned with immunoglobulin, Sporulation, biofilm, Flaviviruses, bacteriophage, etc., while the development of biofilms is regarded as one of the drivers of persistent infections. KDiamend is feasible to detect key drivers and offers insights to uncover the development of diseases. The package is freely available at http://www.deepomics.org/pipelines/3DCD6955FEF2E64A/ .

  6. Cognitive characteristics of older Japanese drivers

    Directory of Open Access Journals (Sweden)

    Susilowati Indri H

    2012-02-01

    Full Text Available Abstract Background Some causes of accidents among older drivers are: not paying attention to traffic signals; missing stop lines; and having to deal with and misjudging emergency situations. These causes of accidents reveal problems with attention and cognition. Such incidents are also related to driver perception and stress-coping mechanisms. It is important to examine the relation of stress reactions to attention and cognition as a factor influencing the causes of accidents commonly involving older drivers. Finding Subjects were 10 young drivers (23.3 ± 3.33 years and 25 older drivers divided into two groups (older1 [60 to 65 years] and older2 [> 65 years]. This study revealed the correlation within driver stress inventory and driver coping questionnaires parameters was observed only in older drivers. They also needed a longer response time for Trail Making Test A and B. The factors affected the attention and cognition of older drivers by age but not driving experience itself, and coping parameters such as emotion focus, reappraisal, and avoidance were not included as stress inventory parameters. Being prone to fatigue was less for younger drivers than older drivers. Because they have shorter distances, shorter drive times, and no need for expressways, older drivers also had a significantly lower risk of thrill-seeking behaviour and more patience. Conclusion The intervention addressing their attention skills, aggressive feelings, and emotion focus should be considered. The technological improvements in cars will make older drivers feel safer and make driving easier which might lower the attention paid to the road, and regular driving training might be needed to assess and enhance their safety.

  7. Does assisted driving behavior lead to safety-critical encounters with unequipped vehicles' drivers?

    Science.gov (United States)

    Preuk, Katharina; Stemmler, Eric; Schießl, Caroline; Jipp, Meike

    2016-10-01

    With Intelligent Transport Systems (e.g., traffic light assistance systems) assisted drivers are able to show driving behavior in anticipation of upcoming traffic situations. In the years to come, the penetration rate of such systems will be low. Therefore, the majority of vehicles will not be equipped with these systems. Unequipped vehicles' drivers may not expect the driving behavior of assisted drivers. However, drivers' predictions and expectations can play a significant role in their reaction times. Thus, safety issues could arise when unequipped vehicles' drivers encounter driving behavior of assisted drivers. This is why we tested how unequipped vehicles' drivers (N=60) interpreted and reacted to the driving behavior of an assisted driver. We used a multi-driver simulator with three drivers. The three drivers were driving in a line. The lead driver in the line was a confederate who was followed by two unequipped vehicles' drivers. We varied the equipment of the confederate with an Intelligent Transport System: The confederate was equipped either with or without a traffic light assistance system. The traffic light assistance system provided a start-up maneuver before a light turned green. Therefore, the assisted confederate seemed to show unusual deceleration behavior by coming to a halt at an unusual distance from the stop line at the red traffic light. The unusual distance was varied as we tested a moderate (4m distance from the stop line) and an extreme (10m distance from the stop line) parameterization of the system. Our results showed that the extreme parametrization resulted in shorter minimal time-to-collision of the unequipped vehicles' drivers. One rear-end crash was observed. These results provided initial evidence that safety issues can arise when unequipped vehicles' drivers encounter assisted driving behavior. We recommend that future research identifies counteractions to prevent these safety issues. Moreover, we recommend that system developers

  8. Obstacles to engaging in young driver licensing: Perspectives of parents.

    Science.gov (United States)

    Naz, Sehana; Scott-Parker, Bridie

    2017-02-01

    Young novice drivers remain at greater risk of injury and death despite a wealth of interventions including graduated driver licensing (GDL) programs. The key to implementing safer practices inherent in GDL appears to lie with optimising the role of parents. This qualitative research explored the parent's perspectives of obstacles to engaging in the driver licensing process within a GDL program. Parents also shared advice on what they found helpful, and where relevant, recommended changes in the process to enable safer practices for young drivers. Twenty-three parents (aged 35-60 years, M=49.52, SD=8.01, 11 males) participated in semi-structured interviews regarding licensing experiences with their young driver children. The young drivers included learner (n=11), provisional (restricted/intermediate) (n=9) and open (unrestricted/full) licence drivers (n=3), ranging from 16 to 24 years (M=18.04, SD=2.21, 13 males). Content analysis revealed that most obstacles were encountered at the learner licensing phase, with the parent-reported difficult temperament of the learner driver the most prominent. Unsurprisingly, advice to other parents to be patient and remain calm featured heavily during the same phase. Anxiety from not having control of the vehicle was another obstacle at the learner phase, translating to anxieties for child safety in the early stages of provisional driving. Recommendations for the current GDL included more rigorous road rule testing, with general support for the program, professional driver training at learner and provisional stages facilitated parental engagement through the licensing phases. The findings overwhelmingly suggest a need for parents to be educated regarding their importance in, and of, the driver licensing process, and the efficacy of their instruction, content and practices. Copyright © 2016 Elsevier Ltd. All rights reserved.

  9. Improved recovery of repeat intoxicated drivers using fingernails and blood spots to monitor alcohol and other substance abuse.

    Science.gov (United States)

    Bean, Pamela; Brown, Guida; Hallinan, Patricia; Becerra, Sergio; Lewis, Doug

    2017-01-02

    This study reports the results of a pilot program in Kenosha County that used a combination of direct biomarkers extracted from blood spots and nails to monitor repeat intoxicated drivers for their use of alcohol and drugs with a detection window spanning from 3 weeks to several months. The objectives were to test whether the direct biomarkers phosphatidylethanol (PEth), ethylglucuronide (EtG), and 5 drug metabolites would (1) help assessors obtain a more objective evaluation of repeat offenders during the assessment interview, (2) allow for timely identification of relapses and improve classification of drivers into risk categories, and (3) predict recidivism by identifying offenders most likely to obtain a subsequent operating while intoxicated (OWI) offense within 4 years of enrollment in the program. All (N = 261) repeat offenders were tested using PEth obtained from blood spots and EtG obtained from fingernails; 159 participants were also tested for a 5 drugs of abuse nail panel. Drivers were tested immediately after the assessment interview (baseline) and at 3, 6, 9, and 12 months after baseline. Based on biomarker results and self-reports of abstinence, offenders were classified into different risk categories and required to follow specific testing timelines based on the program's decision tree. The baseline analysis shows that 60% of drivers tested positive for alcohol biomarkers (EtG, PEth, or both) at the assessment interview, with lower detection rates (0-11%) for the 5 drug metabolites. The comparison of biomarkers results to self-reports of abstinence identified 28% of all offenders as high risk and assigned them to more frequent testing and more intense monitoring. The longitudinal analysis shows that 56% (completers) of participants completed the program successfully and the remaining 44% (noncompliant) terminated prematurely. Two thirds (68%) of the completers were able to reduce or control their drinking and one third relapsed at least one time

  10. Assisting Driver Sovereignty : A Fail-Safe Design Approach to Driver Distraction

    NARCIS (Netherlands)

    Van Gijssel, A.

    2013-01-01

    This thesis investigates the potential of a fail-safe approach to driver distraction through novel interface concepts for integrated Advanced Driver Assistance Systems (ADAS). Traffic accidents are a negative side effect of the universal and economical desire for mobility. The year 2009 saw the

  11. A study of at-fault older drivers in light-vehicle crashes in Singapore.

    Science.gov (United States)

    Chin, Hoong Chor; Zhou, Mo

    2018-03-01

    A number of studies on motor vehicle crashes have suggested that older drivers are more likely to be at-fault compared to younger drivers. The objective of this paper is to identify factors that contribute to older drivers (aged 65 and above) being at fault in light vehicle crashes in Singapore. Based on 3 years of crash data, the calibrated binary logit model shows that older drivers are more likely to be at fault during peak periods and festive seasons between November to February, as well as at gore areas of expressways, intersections. Curb lanes of multi-lane roads and single-lane roads are also found to increase the odds of older drivers being at fault. Furthermore, older drivers appear to have more problems on roads with wet surfaces and speed limits of 60 km/h and 70 km/h. In the light of an aging population in Singapore, it is imperative that more targeted countermeasures be taken from multiple perspectives to lower such risks. Copyright © 2018 Elsevier Ltd. All rights reserved.

  12. Truck Drivers' Experiences and Perspectives Regarding Factors Influencing Traffic Accidents: A Qualitative Study.

    Science.gov (United States)

    Karimi Moonaghi, Hossein; Ranjbar, Hossein; Heydari, Abbas; Scurlock-Evans, Laura

    2015-08-01

    Traffic accidents are a major public health problem, leading to death and disability. Although pertinent studies have been conducted, little data are available in Iran. This study explored the experiences of truck drivers and their perspectives regarding factors contributing to traffic accidents. Eighteen truck drivers, purposively sampled, participated in semi-structured interviews. Data were analyzed using qualitative content analysis. A main theme, lack of ability to control stress, emerged as a factor influencing the incidence of traffic accidents. This main theme was found to have three subthemes: poor organization of the job, lack of workplace facilities and proper equipment, and unsupportive environment. Although several factors were found to contribute to traffic accidents, their effects were not independent, and all were considered significant. Identifying factors that contribute to traffic accidents requires a systematic and holistic approach. Findings could be used by the transportation industry and community health centers to prevent traffic accidents. © 2015 The Author(s).

  13. Density-dependent feedbacks can mask environmental drivers of populations

    DEFF Research Database (Denmark)

    Dahlgren, Johan Petter

    I present some results from studies identifying environmental drivers of vital rates and population dynamics when controlling for intraspecific density statistically or experimentally, show that density dependence can be strong even in populations of slow-growing species in stressful habitats, an...

  14. Teen Drivers' Perceptions of Their Peer Passengers: Qualitative Study.

    Science.gov (United States)

    Ehsani, Johnathon P; Haynie, Denise L; Luthers, Christina; Perlus, Jessamyn; Gerber, Eli; Ouimet, Marie Claude; Klauer, Sheila G; Simons-Morton, Bruce

    The presence of peer passengers increases teenage drivers' fatal crash risk. Distraction and social influence are the two main factors that have been associated with increased risk. Teen drivers' perceptions of their peer passengers on these factors could inform our understanding of the conditions under which peer passengers increase crash risk or promote safer driving. The purpose of this study was to examine teen drivers' perceptions of their peer passengers on distraction and social influence. A convenience sample of male and female drivers participated in a semi-structured interview that included questions on their perceptions of the effects of peer passengers on driving on distraction and social influence. The analysis of the interviews was guided by a grounded theory approach. Teenage drivers were aware of the risk that peer passengers posed. Some described having passengers in the vehicle as distracting, and recognized that the level of distraction increased with the number of passengers in the vehicle. Drivers that felt responsible for the safety of their peer passengers described strategies they used to control the in-vehicle environment. Drivers described driving with passengers as a performance, and articulated direct and indirect sources of pressure, gender norms, and unspoken expectations of their passengers as influencing their driving behavior. The influence of passengers is situation specific and dependent on whom the passenger(s) may be. Passenger influence may be either protective or harmful, depending on the circumstances. Some passengers exert direct influence, but often their influence appears more indirect and subtle.

  15. Crash protection of stock car racing drivers--application of biomechanical analysis of Indy car crash research.

    Science.gov (United States)

    Melvin, John W; Begeman, Paul C; Faller, Ronald K; Sicking, Dean L; McClellan, Scott B; Maynard, Edwin; Donegan, Michael W; Mallott, Annette M; Gideon, Thomas W

    2006-11-01

    Biomechanical analysis of Indy car crashes using on-board impact recorders (Melvin et al. 1998, Melvin et al. 2001) indicates that Indy car driver protection in high-energy crashes can be achieved in frontal, side, and rear crashes with severities in the range of 100 to 135 G peak deceleration and velocity changes in the range of 50 to 70 mph. These crashes were predominantly single-car impacts with the rigid concrete walls of oval tracks. This impressive level of protection was found to be due to the unique combination of a very supportive and tight-fitting cockpit-seating package, a six-point belt restraint system, and effective head padding with an extremely strong chassis that defines the seat and cockpit of a modern Indy car. In 2000 and 2001, a series of fatal crashes in stock car racing created great concern for improving the crash protection for drivers in those racecars. Unlike the Indy car, the typical racing stock car features a more spacious driver cockpit due to its resemblance to the shape of a passenger car. The typical racing seat used in stock cars did not have the same configuration or support characteristics of the Indy car seat, and five-point belt restraints were used. The tubular steel space frame chassis of a stock car also differs from an Indy car's composite chassis structure in both form and mechanical behavior. This paper describes the application of results of the biomechanical analysis of the Indy car crash studies to the unique requirements of stock car racing driver crash protection. Sled test and full-scale crash test data using both Hybrid III frontal crash anthropomorphic test devices (ATDs) and BioSID side crash ATDs for the purpose of evaluating countermeasures involving restraint systems, seats and head/neck restraints has been instrumental in guiding these developments. In addition, the development of deformable walls for oval tracks (the SAFER Barrier) is described as an adjunct to improved occupant restraint through control

  16. Spatiotemporal variability in wildfire patterns and analysis of the main drivers in Honduras using GIS and MODIS data

    Science.gov (United States)

    Valdez Vasquez, M. C.; Chen, C. F.

    2017-12-01

    Wildfires are unrestrained fires in an area of flammable vegetation and they are one of the most frequent disasters in Honduras during the dry season. During this period, anthropogenic activity combined with the harsh climatic conditions, dry vegetation and topographical variables, cause a large amount of wildfires. For this reason, there is a need to identify the drivers of wildfires and their susceptibility variations during the wildfire season. In this study, we combined the wildfire points during the 2010-2016 period every 8 days with a series of variables using the random forest (RF) algorithm. In addition to the wildfire points, we randomly generated a similar amount of background points that we use as pseudo-absence data. To represent the human imprint, we included proximity to different types of roads, trails, settlements and agriculture sites. Other variables included are the Moderate Resolution Imaging Spectra-radiometer (MODIS)-derived 8-day composites of land surface temperature (LST) and the normalized multi-band drought index (NMDI), derived from the MODIS surface reflectance data. We also included monthly average precipitation, solar radiation, and topographical variables. The exploratory analysis of the variables reveals that low precipitation combined with the low NMDI and accessibility to non-paved roads were the major drivers of wildfires during the early months of the dry season. During April, which is the peak of the dry season, the explanatory variables of relevance also included elevation and LST in addition to the proximity to paved and non-paved roads. During May, proximity to crops becomes relevant, in addition to the aforesaid variables. The average estimated area with high and very high wildfire susceptibility was 22% of the whole territory located mainly in the central and eastern regions, drifting towards the northeast areas during May. We validated the results using the area under the receiver operating characteristic (ROC) curve (AUC

  17. Drivers of cycling demand and cycling futures in the Danish context

    DEFF Research Database (Denmark)

    Analysis of the time trend in cycling mode share based on longest possible time series. Logistic regression model of cycling as mode choice as basis for studying ‘driver variables’ contribution to time trend. Describing important vectors of change behind the time trend.......Analysis of the time trend in cycling mode share based on longest possible time series. Logistic regression model of cycling as mode choice as basis for studying ‘driver variables’ contribution to time trend. Describing important vectors of change behind the time trend....

  18. Effects of memory rehearsal on driver performance: experiment and theoretical account.

    Science.gov (United States)

    Salvucci, Dario D; Beltowska, Joanna

    2008-10-01

    We report an experiment and a theoretical analysis concerning the effects of an exclusively cognitive task, specifically a memory rehearsal task, on driver performance. Although recent work on driver distraction has elucidated the sometimes significant effects of cognitive processing on driver performance, these studies have typically mixed cognitive with perceptual and motor processing, making it difficult to isolate the effects of cognitive processing alone. We asked participants to drive in a driving simulator during only the rehearsal stage of a serial-recall memory task while we measured their ability to maintain a central lane position and respond to the illumination of a lead vehicle's brake lights. Memory rehearsal significantly affected drivers' steering performance as measured by lateral deviation from lane center, and it also significantly affected drivers' response time to the braking stimulus for the higher load memory task. These results lend support to a theoretical account of cognitive distraction provided by threaded cognition theory in terms of a cognitive bottleneck in procedural processing, and they also suggest that consideration of task urgency may be important in accounting for performance trade-offs among concurrent tasks. The experiment augments the current understanding of cognitive driver distraction and suggests that even exclusively cognitive secondary tasks may sometimes affect driver performance.

  19. "The little squealer" or "the virtual guardian angel"? Young drivers' and their parents' perspective on using a driver monitoring technology and its implications for parent-young driver communication.

    Science.gov (United States)

    Guttman, Nurit; Gesser-Edelsburg, Anat

    2011-02-01

    In-vehicle driving monitoring technologies have the potential to enable young drivers to learn from self-assessment. However, their use is largely dependent on parental involvement. A total of 79 interviews were conducted with young drivers and parents regarding this technology and its use. Most had the experience of having an in-vehicle data recorder installed in the vehicle driven by the young drivers. Parents and the young drivers expressed both appreciation as well as reservations about its potential as a means to enhance the driving safety of young drivers. A surprising finding was that some parents did not check the feedback and said they relied on the young driver to do so. Main concerns related to privacy, parent-young driver relationship, self-esteem and confidence, constructive use of the feedback data, and the limitations of the documentation that can be done by the technology. Providing parents and young drivers with a support system and tools to discuss and utilize the feedback are underscored. Challenges include addressing the invasion of young drivers' privacy and gender differences, and using the monitoring-capacity of the technology to enhance safe driving practices. Implications for programs to enhance communication and a dialogical approach between parents and young drivers are discussed. Copyright © 2010 Elsevier Ltd. All rights reserved.

  20. Risk factors affecting fatal bus accident severity: Their impact on different types of bus drivers.

    Science.gov (United States)

    Feng, Shumin; Li, Zhenning; Ci, Yusheng; Zhang, Guohui

    2016-01-01

    While the bus is generally considered to be a relatively safe means of transportation, the property losses and casualties caused by bus accidents, especially fatal ones, are far from negligible. The reasons for a driver to incur fatalities are different in each case, and it is essential to discover the underlying risk factors of bus fatality severity for different types of drivers in order to improve bus safety. The current study investigates the underlying risk factors of fatal bus accident severity to different types of drivers in the U.S. by estimating an ordered logistic model. Data for the analysis are retrieved from the Buses Involved in Fatal Accidents (BIFA) database from the USA for the years 2006-2010. Accidents are divided into three levels by counting their equivalent fatalities, and the drivers are classified into three clusters by the K-means cluster analysis. The analysis shows that some risk factors have the same impact on different types of drivers, they are: (a) season; (b) day of week; (c) time period; (d) number of vehicles involved; (e) land use; (f) manner of collision; (g) speed limit; (h) snow or ice surface condition; (i) school bus; (j) bus type and seating capacity; (k) driver's age; (l) driver's gender; (m) risky behaviors; and (n) restraint system. Results also show that some risk factors only have impact on the "young and elder drivers with history of traffic violations", they are: (a) section type; (b) number of lanes per direction; (c) roadway profile; (d) wet road surface; and (e) cyclist-bus accident. Notably, history of traffic violations has different impact on different types of bus drivers. Copyright © 2015 Elsevier Ltd. All rights reserved.

  1. Prevalence of driver physical factors leading to unintentional lane departure crashes.

    Science.gov (United States)

    Cicchino, Jessica B; Zuby, David S

    2017-07-04

    control. Active lane-keeping assist systems may need to be combined with in-vehicle driver monitoring to identify incapacitated drivers and safely remove them from the roadway if the systems are to reach their maximum potential benefit.

  2. Young novice drivers.

    NARCIS (Netherlands)

    2013-01-01

    In The Netherlands, young novice drivers (18-24 years of age) show a crash rate that is five times higher than that of experienced drivers (30-59 years of age). The rate of young males is even seven times as high. The main reasons are lack of driving experience and hazardous behaviour typical of

  3. Successful Conviction of Intoxicated Drivers at a Level I Trauma Center

    Directory of Open Access Journals (Sweden)

    James F. Holmes

    2014-07-01

    Full Text Available Introduction: Conviction rates for drivers driving under the influence (DUI and in motor vehicle collisions (MVC presenting to trauma centers are based primarily on data from the 1990s. Our goal was to identify DUI conviction rates of intoxicated drivers in MVCs presenting to a trauma center and to identify factors associated with the failure to obtain a DUI conviction. Methods: Retrospective study of adults (>18 years presenting to a trauma center emergency department (ED in 2007. Eligible subjects were drivers involved in a MVC with an ED blood alcohol level (BAL ≥ 80mg/dL. Subjects were matched to their Department of Motor Vehicle (DMV records to identify DUI convictions from the collision, the legal blood alcohol concentration (BAC, and arresting officer’s impression of the driver’s sobriety. We entered potential variables predictive of failure to obtain a DUI conviction into a regression model. Results: The 241 included subjects had a mean age of 34.1 ± 12.8 years, and 185 (77% were male. Successful DUI convictions occurred in 142/241 (58.9%, 95% CI 52.4, 65.2% subjects. In a regression model, Injury Severity Score > 15 (odds ratio = 2.70 (95% CI 1.06, 6.85 and a lower ED BAL from 80 to 200mg/dL (odds ratio = 5.03 (95% CI 1.69, 14.9 were independently associated with a failure to obtain a DUI conviction. Conclusion: Slightly more than half of drivers who present to an ED after a MVC receive a DUI conviction. The most severely injured subjects and those with lower BALs are least likely to be convicted of a DUI.

  4. Discriminant Analysis of the Effects of Software Cost Drivers on ...

    African Journals Online (AJOL)

    The paper work investigates the effect of software cost drivers on project schedule estimation of software development projects in Nigeria. Specifically, the paper determines the extent to which software cost variables affect our software project time schedule in our environment. Such studies are lacking in the recent ...

  5. Identifying drought response of semi-arid aeolian systems using near-surface luminescence profiles and changepoint analysis, Nebraska Sandhills.

    Science.gov (United States)

    Buckland, Catherine; Bailey, Richard; Thomas, David

    2017-04-01

    Two billion people living in drylands are affected by land degradation. Sediment erosion by wind and water removes fertile soil and destabilises landscapes. Vegetation disturbance is a key driver of dryland erosion caused by both natural and human forcings: drought, fire, land use, grazing pressure. A quantified understanding of vegetation cover sensitivities and resultant surface change to forcing factors is needed if the vegetation and landscape response to future climate change and human pressure are to be better predicted. Using quartz luminescence dating and statistical changepoint analysis (Killick & Eckley, 2014) this study demonstrates the ability to identify step-changes in depositional age of near-surface sediments. Lx/Tx luminescence profiles coupled with statistical analysis show the use of near-surface sediments in providing a high-resolution record of recent system response and aeolian system thresholds. This research determines how the environment has recorded and retained sedimentary evidence of drought response and land use disturbances over the last two hundred years across both individual landforms and the wider Nebraska Sandhills. Identifying surface deposition and comparing with records of climate, fire and land use changes allows us to assess the sensitivity and stability of the surface sediment to a range of forcing factors. Killick, R and Eckley, IA. (2014) "changepoint: An R Package for Changepoint Analysis." Journal of Statistical Software, (58) 1-19.

  6. Good Old Gamers, Good Drivers: Results from a correlational experiment among older drivers

    Directory of Open Access Journals (Sweden)

    Suchada Vichitvanichphong

    2016-03-01

    Full Text Available In many situations, driving is essential for senior citizens to maintain their independent lifestyle. A systematic literature review was conducted that summarized the age-related physical, visual and cognitive functional declines and their associated risk to driving. Based on these findings, we explored whether the skills required in playing Xbox Kinect video games were correlated with measures of driving performance among older drivers. Fifty-two participants, 65 years of age or older (Mean = 72; SD = 3.84; range 65 – 85 years; 29 males who have access to a car and drive frequently were invited to play Just dance, Table Tennis (ping pong, Bowling, and Dr Kawashima’s Brain Training Exercises on an Xbox Kinect 360. Participants also completed a 25-minute on-road driving task along a predetermined route to assess and identify critical driving errors using a similar instrument as that used by a driving license tester. Bivariate correlation examined the relationship between game scores and these objective driving skills. There was a significant correlation between the Xbox Kinect video games and on-road driving scores (r = 0.861, p <0.001, indicating that ‘good gamers are good drivers’. This was correlation was significant for the males (r = 0.864, p <0.001 as well as for the females (r = 0.878, p <0.001. We suggest that performance on Xbox games may be a suitable, cost-effective and less-risky indicator of on-road driving skills for older drivers, particularly in jurisdictions in which mandatory testing of older citizens has been introduced or is being considered as a requirement in the driver licensing process.

  7. Taxonomy of Older Driver Behaviors and Crash Risk : Appendix C

    Science.gov (United States)

    2012-02-01

    This projects objectives were to identify risky behaviors, driving habits, and exposure patterns that have been shown to increase the likelihood of crash involvement among older drivers; and to classify these crash-contributing factors according t...

  8. Temporal Drivers of Liking Based on Functional Data Analysis and Non-Additive Models for Multi-Attribute Time-Intensity Data of Fruit Chews.

    Science.gov (United States)

    Kuesten, Carla; Bi, Jian

    2018-06-03

    Conventional drivers of liking analysis was extended with a time dimension into temporal drivers of liking (TDOL) based on functional data analysis methodology and non-additive models for multiple-attribute time-intensity (MATI) data. The non-additive models, which consider both direct effects and interaction effects of attributes to consumer overall liking, include Choquet integral and fuzzy measure in the multi-criteria decision-making, and linear regression based on variance decomposition. Dynamics of TDOL, i.e., the derivatives of the relative importance functional curves were also explored. Well-established R packages 'fda', 'kappalab' and 'relaimpo' were used in the paper for developing TDOL. Applied use of these methods shows that the relative importance of MATI curves offers insights for understanding the temporal aspects of consumer liking for fruit chews.

  9. An epidemiologic survey of road traffic accidents in Iran: analysis of driver-related factors

    Directory of Open Access Journals (Sweden)

    Moafian Ghasem

    2013-06-01

    Full Text Available 【Abstract】Objective: Road traffic accident (RTA and its related injuries contribute to a significant portion of the burden of diseases in Iran. This paper explores the as-sociation between driver-related factors and RTA in the country. Methods: This cross-sectional study was conducted in Iran and all data regarding RTAs from March 20, 2010 to June 10, 2010 were obtained from the Traffic Police Department. We included 538 588 RTA records, which were classified to control for the main confounders: accident type, final cause of accident, time of accident and driver-related factors. Driver-related factors included sex, educational level, license type, type of injury, duration between accident and getting the driving license and driver’s error type. Results: A total of 538 588 drivers (91.83% male, sex ratio of almost 13:1 were involved in the RTAs. Among them 423 932 (78.71% were uninjured; 224 818 (41.74% had a diploma degree. Grade 2 driving license represented the highest proportion of all driving licenses (290 811, 54.00%. The greatest number of accidents took place at 12:00-13:59 (75 024, 13.93%. The proportion of drivers involved in RTAs decreased from 15.90% in the first year of getting a driving license to 3.13% after 10 years’ of driving experience. Ne-glect of regulations was the commonest cause of traffic crashes (345 589, 64.17%. Non-observance of priority and inattention to the front were the most frequent final causes of death (138 175, 25.66% and 129 352, 24.02%, respectively. We found significant association between type of acci-dent and sex, education, license type, time of accident, final cause of accident, driver’s error as well as duration between accident and getting the driving license (all P<0.001. Conclusion: Our results will improve the traffic law enforcement measures, which will change inappropriate be-havior of drivers and protect the least experienced road users. Key words: Accidents, traffic; Automobile

  10. Experimental Research in Boost Driver with EDLCs

    Science.gov (United States)

    Matsumoto, Hirokazu

    The supply used in servo systems tends to have a high voltage in order to reduce loss and improve the response of motor drives. We propose a new boost motor driver that comprises EDLCs. The proposed driver has a simple structure, wherein the EDLCs are connected in series to the supply, and comprises a charge circuit to charge the EDLCs. The proposed driver has three advantages over conventional boost drivers. The first advantage is that the driver can easily attain the stable boost voltage. The second advantage is that the driver can reduce input power peaks. In a servo system, the input power peaks become greater than the rated power in order to accelerate the motor rapidly. This implies that the equipments that supply power to servo systems must have sufficient power capacity to satisfy the power peaks. The proposed driver can suppress the increase of the power capacity of supply facilities. The third advantage is that the driver can store almost all of the regenerative energy. Conventional drivers have a braking resistor to suppress the increase in the DC link voltage. This causes a considerable reduction in the efficiency. The proposed driver is more efficient than conventional drivers. In this study, the experimental results confirmed the effectiveness of the proposed driver and showed that the drive performance of the proposed driver is the same as that of a conventional driver. Furthermore, it was confirmed that the results of the simulation of a model of the EDLC module, whose capacitance is dependent on the frequency, correspond well with the experimental results.

  11. Driver competence performance indicators using OTMR

    Energy Technology Data Exchange (ETDEWEB)

    Hassan EL Rashidy, R.A.

    2016-07-01

    The current practice for assessing driver competence performance is in-cab riding by driver managers. However, this paper investigates whether real-world driving data extracted from on-train monitoring recorders data (OTMR) can be used to assess the driver performance. A number of indicators were used to evaluate the drivers’ performance. These include: their use of the emergency bypass switch, the driver's reminder appliance as well as the driver’s reaction time. A study case illustrated the applicability of OTMR data to estimate the proposed indicators, which suggests that the indicators can be useful in the driver management system in addition to the current indicators. Furthermore, the proposed indicators could be used to tailor the driver training schemes up to their individual needs and evaluate their effectiveness. They could even be used for improving driver competence performance and reducing crash involvement by revealing potentially detrimental driving performance. (Author)

  12. Drivers of Live Cattle Price in the Livestock Trading System of Central Cameroon

    Science.gov (United States)

    Motta, Paolo; Handel, Ian G.; Rydevik, Gustaf; Hamman, Saidou M.; Ngwa, Victor Ngu; Tanya, Vincent N.; Morgan, Kenton L.; Bronsvoort, Barend M. deC.; Porphyre, Thibaud

    2018-01-01

    Livestock production and trade are critical for the food security and welfare of rural households in sub-Saharan Africa. In Cameroon, animal trade consists mainly of live cattle commercialized through livestock markets. Identifying the factors contributing to cattle price formation is critical for designing effective policies for sustainable production and for increasing food availability. In this study, we evaluated the influence of a range of individual- and market-level factors on the price of cattle that were sold in all transactions (n = 118,017) recorded over a 12-month period from 31 livestock markets in the main cattle production area of the country. An information-theoretic approach using a generalized additive mixed-effect model was implemented to select the best explanatory model as well as evaluate the robustness of the identified drivers and the predictive ability of the model. The age and gender of the cattle traded were consistently found to be important drivers of the price (p livestock market and the price of the traded live cattle (p < 0.01). Although our analysis did not account for factors informing on specific phenotypic traits nor breed characteristics of cattle traded, nearly 50% of the observed variation in live cattle prices was explained by the final model. Ultimately, our model gives a large scale overview of drivers of cattle price formation in Cameroon and to our knowledge is the first study of this scale in Central Africa. Our findings represent an important milestone in designing efficient and sustainable animal health management programme in Cameroon and ensure livelihood sustainability for rural households. PMID:29387687

  13. Effects of major-road vehicle speed and driver age and gender on left-turn gap acceptance.

    Science.gov (United States)

    Yan, Xuedong; Radwan, Essam; Guo, Dahai

    2007-07-01

    Because the driver's gap-acceptance maneuver is a complex and risky driving behavior, it is a highly concerned topic for traffic safety and operation. Previous studies have mainly focused on the driver's gap acceptance decision itself but did not pay attention to the maneuver process and driving behaviors. Using a driving simulator experiment for left-turn gap acceptance at a stop-controlled intersection, this study evaluated the effects of major traffic speed and driver age and gender on gap acceptance behaviors. The experiment results illustrate relationships among drivers' left-turn gap decision, driver's acceleration rate, steering action, and the influence of the gap-acceptance maneuver on the vehicles in the major traffic stream. The experiment results identified an association between high crash risk and high traffic speed at stop-controlled intersections. The older drivers, especially older female drivers, displayed a conservative driving attitude as a compensation for reduced driving ability, but also showed to be the most vulnerable group for the relatively complex driving maneuvers.

  14. Drivers of high-involvement consumers' intention to buy PDO wines: Valpolicella PDO case study.

    Science.gov (United States)

    Capitello, Roberta; Agnoli, Lara; Begalli, Diego

    2016-08-01

    This study investigates whether different sensory profiles of wines belonging to the same Protected Designation of Origin (PDO) are perceived as different products by consumers. It identifies the drivers of consumers' intention to buy preferred wines. Descriptive sensory analysis, consumer tests and consumer interviews were conducted to reach research aims. To perform the consumer tests and interviews, 443 consumers participated in the survey. The tasted wines comprised five samples representative of Valpolicella PDO wine. Analysis of variance tests, principal component analysis and linear and logit regressions were employed to verify the research hypotheses. The results demonstrated: (1) different sensory profiles exist within the Valpolicella PDO wine; (2) these sensory profiles result in consumers having the perception of diversified products; (3) the perception of differences was less marked for consumers than for trained assessors due to the different weight attributed to visual, aroma and the taste/mouthfeel hedonic dimensions; and (4) consumers' liking, as well as general perceptions, attitudes, preferences, wine knowledge and experience, contribute to consumers' intentions to buy more than the socio-demographic characteristics of consumers. The analysis of the drivers of consumers' intention to buy certain PDO wines provides new marketing insights into the roles of intrinsic quality, preferences and consumers' subjective characteristics in market segmentation. © 2015 Society of Chemical Industry. © 2015 Society of Chemical Industry.

  15. Influence of professional drivers' personality traits on road traffic safety: case study.

    Science.gov (United States)

    Živković, Snežana; Nikolić, Vesna; Markič, Mirko

    2015-01-01

    The purpose of this paper is to present basic elements of the research directed at identifying and determining the personality traits of professional drivers that affect safe, secure and enjoyable ride on public roads. A quantitative method has been used here, whereas data were acquired from a questionnaire based on a sample of 59 professional drivers. Determining personality traits of professional drivers that are in correlation with a safe and pleasant ride on the roads has been enabled by applying the five-factor model of personality ('Big Five') and the Personality Inventory NEO-PI. From these results it was concluded that safe operation of the vehicle in traffic involves the successful 'conduct' of oneself, which recognises the importance of certain personality traits of professional drivers for traffic safety and the need for appropriate professional selection in the case of employment of professional drivers. Research results implicate development of educational programmes aimed at achieving harmony of psychological, physical and sensory health, that is, programmes for permanent informing, educating and training professional drivers for defensive driving. The research opens the way for new research tasks that should help in creating a specific structure of curricula that can be used in a variety of transportation companies and enterprises to improve general and public safety.

  16. Prospect theory based estimation of drivers' risk attitudes in route choice behaviors.

    Science.gov (United States)

    Zhou, Lizhen; Zhong, Shiquan; Ma, Shoufeng; Jia, Ning

    2014-12-01

    This paper applied prospect theory (PT) to describe drivers' route choice behavior under Variable Message Sign (VMS), which presented visual traffic information to assist them to make route choice decisions. A quite rich empirical data from questionnaire and field spot was used to estimate parameters of PT. In order to make the parameters more realistic with drivers' attitudes, they were classified into different types by significant factors influencing their behaviors. Based on the travel time distribution of alternative routes and route choice results from questionnaire, the parameterized value function of each category was figured out, which represented drivers' risk attitudes and choice characteristics. The empirical verification showed that the estimates were acceptable and effective. The result showed drivers' risk attitudes and route choice characteristics could be captured by PT under real-time information shown on VMS. For practical application, once drivers' route choice characteristics and parameters were identified, their route choice behavior under different road conditions could be predicted accurately, which was the basis of traffic guidance measures formulation and implementation for targeted traffic management. Moreover, the heterogeneous risk attitudes among drivers should be considered when releasing traffic information and regulating traffic flow. Copyright © 2014 Elsevier Ltd. All rights reserved.

  17. Online driver's license renewal.

    Science.gov (United States)

    2015-09-01

    The Kentucky Department of Vehicle Regulation is exploring the possibility of developing and implementing online : drivers license renewal. The objective of this project was to: 1) evaluate online drivers license and REAL ID renewal : programs ...

  18. Evaluation of older driver head functional range of motion using portable immersive virtual reality.

    Science.gov (United States)

    Chen, Karen B; Xu, Xu; Lin, Jia-Hua; Radwin, Robert G

    2015-10-01

    The number of drivers over 65 years of age continues to increase. Although neck rotation range has been identified as a factor associated with self-reported crash history in older drivers, it was not consistently reported as indicators of older driver performance or crashes across previous studies. It is likely that drivers use neck and trunk rotation when driving, and therefore the functional range of motion (ROM) (i.e. overall rotation used during a task) of older drivers should be further examined. Evaluate older driver performance in an immersive virtual reality, simulated, dynamic driving blind spot target detection task. A cross-sectional laboratory study recruited twenty-six licensed drivers (14 young between 18 and 35 years, and 12 older between 65 to 75 years) from the local community. Participants were asked to detect targets by performing blind spot check movements while neck and trunk rotation was tracked. Functional ROM, target detection success, and time to detection were analyzed. In addition to neck rotation, older and younger drivers on average rotated their trunks 9.96° and 18.04°, respectively. The younger drivers generally demonstrated 15.6° greater functional ROM (p<.001), were nearly twice as successful in target detection due to target location (p=.008), and had 0.46 s less target detection time (p=.016) than the older drivers. Assessing older driver functional ROM may provide more comprehensive assessment of driving ability than neck ROM. Target detection success and time to detection may also be part of the aging process as these measures differed between driver groups. Copyright © 2015 Elsevier Inc. All rights reserved.

  19. Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation

    Science.gov (United States)

    McGillivray, Max Falkenberg; Cheng, William; Peters, Nicholas S.; Christensen, Kim

    2018-04-01

    Mapping resolution has recently been identified as a key limitation in successfully locating the drivers of atrial fibrillation (AF). Using a simple cellular automata model of AF, we demonstrate a method by which re-entrant drivers can be located quickly and accurately using a collection of indirect electrogram measurements. The method proposed employs simple, out-of-the-box machine learning algorithms to correlate characteristic electrogram gradients with the displacement of an electrogram recording from a re-entrant driver. Such a method is less sensitive to local fluctuations in electrical activity. As a result, the method successfully locates 95.4% of drivers in tissues containing a single driver, and 95.1% (92.6%) for the first (second) driver in tissues containing two drivers of AF. Additionally, we demonstrate how the technique can be applied to tissues with an arbitrary number of drivers. In its current form, the techniques presented are not refined enough for a clinical setting. However, the methods proposed offer a promising path for future investigations aimed at improving targeted ablation for AF.

  20. Underbelly injury based identification of the driver in a three-rider motorcycle accident.

    Science.gov (United States)

    Liu, Shengxiong; Yin, Zhiyong; Su, Sen; Li, Kui

    2016-01-01

    This paper presents a three-rider motorcycle accident which took place in a suburb of Chongqing China. In the accident, the motorcycle impacted the terminal of a bridge footpath and led to two riders died and one rider injured. After the accident, one rider received injuries around the groin area including the underbelly area and the perineum area. Another rider suffered from injuries only on the perineum areas. In medico-legal judgments, injuries around the groin area also called groin injuries in victims of motorcycle accidents are usually regarded as "fuel tank injuries" which are commonly found in drivers. But, the injuries around the groin area are sometimes confused with the perineum injuries. Therefore, the perineum injuries are often wrongly reckoned as the "fuel tank injuries" and used to identify the drivers too. Actually, passengers can sometimes suffer from perineum injuries in many head-on impacting motorcycle accidents. It is of vital matters to understand the differences between groin injuries and perineum injuries so that the real driver who should be responsible for the accident can be recognized. In this paper, the three-rider motorcycle accident was presented and the injury information of the three riders was studied in order to distinguish the real driver from the riders. We consider that the groin injury has some differences with the perineum injury and the latter should not always be related to the driver especially in high-speed head-on impacting motorcycle accidents. In addition, the injury on underbelly areas is important to identify the driver. Crown Copyright © 2015. Published by Elsevier Ireland Ltd. All rights reserved.

  1. Evaluating Older Drivers' Skills

    Science.gov (United States)

    2013-05-01

    Research has demonstrated that older drivers pose a higher risk of involvement in fatal crashes at intersections than : younger drivers. Age-triggered restrictions are problematic as research shows that the majority of older people : have unimpaired ...

  2. Identifying compensatory driving behavior among older adults using the situational avoidance questionnaire.

    Science.gov (United States)

    Davis, Jessica J; Conlon, Elizabeth G

    2017-12-01

    Driving self-regulation is considered a means through which older drivers can compensate for perceived declines in driving skill or more general feelings of discomfort on the road. One form of driving self-regulation is situational avoidance, the purposeful avoidance of situations perceived as challenging or potentially hazardous. This study aimed to validate the Situational Avoidance Questionnaire (SAQ, Davis, Conlon, Ownsworth, & Morrissey, 2016) and identify the point on the scale at which drivers practicing compensatory avoidance behavior could be distinguished from those whose driving is unrestricted, or who are avoiding situations for other, non-compensatory reasons (e.g., time or convenience). Seventy-nine Australian drivers (M age =71.48, SD=7.16, range: 55 to 86years) completed the SAQ and were classified as a compensatory-restricted or a non-restricted driver based on a semi-structured interview designed to assess the motivations underlying avoidance behavior reported on the SAQ. Using receiver-operator characteristic (ROC) analysis, the SAQ was found to have high diagnostic accuracy (sensitivity: 85%, specificity: 82%) in correctly classifying the driver groups. Group comparisons confirmed that compensatory-restricted drivers were self-regulating their driving behavior to reduce the perceived demands of the driving task. This group had, on average, slower hazard perception reaction times, and reported greater difficulty with driving, more discomfort when driving due to difficulty with hazard perception skills, and greater changes in cognition over the past five years. The SAQ is a psychometrically sound measure of situational avoidance for drivers in baby boomer and older adult generations. Use of validated measures of driving self-regulation that distinguish between compensatory and non-compensatory behavior, such as the SAQ, will advance our understanding of the driving self-regulation construct and its potential safety benefits for older road users

  3. Identification of mutated driver pathways in cancer using a multi-objective optimization model.

    Science.gov (United States)

    Zheng, Chun-Hou; Yang, Wu; Chong, Yan-Wen; Xia, Jun-Feng

    2016-05-01

    New-generation high-throughput technologies, including next-generation sequencing technology, have been extensively applied to solve biological problems. As a result, large cancer genomics projects such as the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium are producing large amount of rich and diverse data in multiple cancer types. The identification of mutated driver genes and driver pathways from these data is a significant challenge. Genome aberrations in cancer cells can be divided into two types: random 'passenger mutation' and functional 'driver mutation'. In this paper, we introduced a Multi-objective Optimization model based on a Genetic Algorithm (MOGA) to solve the maximum weight submatrix problem, which can be employed to identify driver genes and driver pathways promoting cancer proliferation. The maximum weight submatrix problem defined to find mutated driver pathways is based on two specific properties, i.e., high coverage and high exclusivity. The multi-objective optimization model can adjust the trade-off between high coverage and high exclusivity. We proposed an integrative model by combining gene expression data and mutation data to improve the performance of the MOGA algorithm in a biological context. Copyright © 2016 Elsevier Ltd. All rights reserved.

  4. Geopolitical drivers of future tourist flows

    Directory of Open Access Journals (Sweden)

    Craig Webster

    2015-03-01

    Full Text Available Purpose – The purpose of this paper is to investigate the major political and economic changes in the world and the likely impact that these changes will bring to tourism and hospitality industries. Design/methodology/approach – The paper adopts a geopolitical perspective on the dynamics of tourist flows, stipulating that geopolitics has a major impact on the size, structure, and direction of these flows. Findings – The paper identifies six geopolitical drivers of tourist flows in the future, namely: the fall of the American Empire, the rise of the BRIC and the PINE countries, increased global political instability, increased importance of regional supranational organisations, greater control of the individuals on a global scale, and the greater importance and power of corporations than national governments. Originality/value – The paper critically evaluates the geopolitical drivers of tourist flows, their likely future development and the impact they have on tourism.

  5. Preferences for Alternative Fuel Vehicles of Lease Car Drivers in The Netherlands

    Energy Technology Data Exchange (ETDEWEB)

    Koetse, M.J.; Hoen, A.

    2012-04-15

    In this paper we aim to get insight into preferences of Dutch lease car drivers for alternative fuel vehicles (AFVs) and their characteristics. Since AFVs are either not yet available on the market or have only very limited market shares, we have to rely on stated preference research. We perform a state-of-the-art conjoint analysis, based on data obtained through an online choice experiment among Dutch lease car drivers. Results show that under current tax regulations the average lease car driver is indifferent between the conventional technology, flexifuel and the hybrid car, while negative preferences exist for the plug-in hybrid, the electric and the fuel cell car. When current tax regulations would be abolished, strong negative preferences would result for all AFCs, and especially for the electric and fuel cell car. Increases in driving range, reductions in refuelling time, and reductions in additional detour time for reaching an appropriate fuel station, increase AFV preferences substantially. On average the gap between conventional technologies and AFVs remains large, however. We also find that there is considerable heterogeneity in preferences of lease car drivers, and that various market segments and potential early adopters can be identified. In this respect the most interesting finding is that preferences for electric and fuel cell cars decrease substantially, and willingness to pay for driving range increases substantially, when annual mileage increases. Annual mileage also has a substantial impact on sensitivity to monthly costs. We therefore use simulations to assess market shares of electric and fuel cell cars for different annual mileage categories. We find that people with a relatively low annual mileage are more likely to adopt than people with a relatively high annual mileage, regardless of driving range and monthly costs. For the fuel cell car we find similar results, although when driving range is high and cost differences are large, lease car

  6. The development of a method to measure speed adaptation to traffic complexity: Identifying novice, unsafe, and overconfident drivers.

    NARCIS (Netherlands)

    Craen, S. de Twisk, D.A.M. Hagenzieker, M.P. Elffers, H. & Brookhuis, K.A.

    2008-01-01

    To monitor novice driver performance in the first years of solo driving, a test aimed at assessing speed adaptation to the traffic situation was developed and evaluated. The Adaptation Test consisted of 18 traffic scenes presented in two (almost) identical photographs, which differed in one single

  7. The development of a method to measure speed adaptation to traffic complexity : Identifying novice, unsafe, and overconfident drivers

    NARCIS (Netherlands)

    de Craen, Saskia; Twisk, Divera A. M.; Hagenzieker, Marjan P.; Elffers, Henk; Brookhuis, Karel A.

    To monitor novice driver performance in the first years of solo driving, a test aimed at assessing speed adaptation to the traffic situation was developed and evaluated. The Adaptation Test consisted of 18 traffic scenes presented in two (almost) identical photographs, which differed in one single

  8. Functional annotation of rare gene aberration drivers of pancreatic cancer | Office of Cancer Genomics

    Science.gov (United States)

    As we enter the era of precision medicine, characterization of cancer genomes will directly influence therapeutic decisions in the clinic. Here we describe a platform enabling functionalization of rare gene mutations through their high-throughput construction, molecular barcoding and delivery to cancer models for in vivo tumour driver screens. We apply these technologies to identify oncogenic drivers of pancreatic ductal adenocarcinoma (PDAC).

  9. A call to improve sampling methodology and reporting in young novice driver research.

    Science.gov (United States)

    Scott-Parker, B; Senserrick, T

    2017-02-01

    Young drivers continue to be over-represented in road crash fatalities despite a multitude of research, communication and intervention. Evidence-based improvement depends to a great extent upon research methodology quality and its reporting, with known limitations in the peer-review process. The aim of the current research was to review the scope of research methodologies applied in 'young driver' and 'teen driver' research and their reporting in four peer-review journals in the field between January 2006 and December 2013. In total, 806 articles were identified and assessed. Reporting omissions included participant gender (11% of papers), response rates (49%), retention rates (39%) and information regarding incentives (44%). Greater breadth and specific improvements in study designs and reporting are thereby identified as a means to further advance the field. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  10. Drivers for OSH interventions in small and medium-sized enterprises.

    Science.gov (United States)

    Cagno, Enrico; Masi, Donato; Leão, Celina Pinto

    2016-01-01

    The debate concerning occupational safety and health (OSH) interventions has recently focused on the need of improving the evaluation of interventions, and in particular on the need for providing information about why the intervention worked or not, under what circumstances and in which context. Key concepts in the analysis of the context are the drivers, i.e., those factors enabling, fostering or facilitating OSH interventions. However, the concept of driver for an OSH intervention is both confused and contested. Although the term is widely used, there is little consensus on how drivers should be understood, how important they are in different contexts and how they can facilitate interventions. This exploratory study based on interviews with the owner-managers and the safety officers of small and medium-sized enterprises (SMEs) gives an overview of the most characteristic drivers for OSH interventions. The results will be used to make an initial evaluation of SMEs' needs, and will help orient interventions and future research.

  11. The Drivers of E-tailers' Price Levels

    NARCIS (Netherlands)

    Sotgiu, Francesca; Ancarani, Fabio

    2005-01-01

    One of the most important topics in online pricing is understanding the drivers of online price levels for different types of retailers, in order to better understand competition across retail channels. We developed a conceptual framework and conducted an empirical analysis on price levels in the

  12. Untangling the drivers of nonlinear systems with information theory

    Science.gov (United States)

    Wing, S.; Johnson, J.

    2017-12-01

    Many systems found in nature are nonlinear. The drivers of the system are often nonlinearly correlated with one another, which makes it a challenge to understand the effects of an individual driver. For example, solar wind velocity (Vsw) and density (nsw) are both found to correlate well with radiation belt fluxes and are thought to be drivers of the magnetospheric dynamics; however, the Vsw is anti-correlated with nsw, which can potentially confuse interpretation of these relationships as causal or coincidental. Information theory can untangle the drivers of these systems, describe the underlying dynamics, and offer constraints to modelers and theorists, leading to better understanding of the systems. Two examples are presented. In the first example, the solar wind drivers of geosynchronous electrons with energy range of 1.8-3.5 MeV are investigated using mutual information (MI), conditional mutual information (CMI), and transfer entropy (TE). The information transfer from Vsw to geosynchronous MeV electron flux (Je) peaks with a lag time (t) of 2 days. As previously reported, Je is anticorrelated with nsw with a lag of 1 day. However, this lag time and anticorrelation can be attributed mainly to the Je(t + 2 days) correlation with Vsw(t) and nsw(t + 1 day) anticorrelation with Vsw(t). Analyses of solar wind driving of the magnetosphere need to consider the large lag times, up to 3 days, in the (Vsw, nsw) anticorrelation. Using CMI to remove the effects of Vsw, the response of Je to nsw is 30% smaller and has a lag time < 24 hr, suggesting that the loss mechanism due to nsw or solar wind dynamic pressure has to start operating in < 24 hr. nsw transfers about 36% as much information as Vsw (the primary driver) to Je. Nonstationarity in the system dynamics are investigated using windowed TE. When the data is ordered according to high or low transfer entropy it is possible to understand details of the triangle distribution that has been identified between Je(t + 2

  13. Alcohol and marijuana use while driving--an unexpected crash risk in Pakistani commercial drivers: a cross-sectional survey.

    Science.gov (United States)

    Mir, Mohammed Umer; Khan, Imran; Ahmed, Bilal; Abdul Razzak, Junaid

    2012-02-27

    A significant proportion of road traffic crashes are attributable to alcohol and marijuana use while driving globally. Sale and use of both substances is illegal in Pakistan and is not considered a threat for road traffic injuries. However literature hints that this may not be the case. We did this study to assess usage of alcohol and marijuana in Pakistani commercial drivers. A sample of 857 commercial bus and truck drivers was interviewed in October 2008 at the largest commercial vehicle station in Rawalpindi and Islamabad, Pakistan. Time location cluster sampling was used to select the subjects and a structured questionnaire was used to assess the basic demographic profile, substance abuse habits of the drivers while on the road, and reasons for usage of illicit substances while driving were recorded. Self reported information was collected after obtaining informed consent. Chi square and fisher exact tests were used to assess differences between groups and logistic regression was used to identify significant associations between driver characteristics and alcohol and marijuana use. Almost 10% of truck drivers use alcohol while driving on Pakistani roads. Marijuana use is almost 30% in some groups. Statistically different patterns of usage are seen between population subgroups based on age, ethnicity, education, and marital status. Regression analysis shows association of alcohol and marijuana use with road rage and error behaviours, and also with an increased risk of being involved in road crashes. The reported reasons for using alcohol or marijuana show a general lack of awareness of the hazardous nature of this practice among the commercial driver population. Alcohol and marijuana use is highly prevalent in Pakistani commercial drivers. The issue needs to be recognized by concerned authorities and methods such as random breath tests and sobriety check points need to be employed for proper law enforcement.

  14. Alcohol and marijuana use while driving--an unexpected crash risk in Pakistani commercial drivers: a cross-sectional survey

    Directory of Open Access Journals (Sweden)

    Mir Mohammed

    2012-02-01

    Full Text Available Abstract Background A significant proportion of road traffic crashes are attributable to alcohol and marijuana use while driving globally. Sale and use of both substances is illegal in Pakistan and is not considered a threat for road traffic injuries. However literature hints that this may not be the case. We did this study to assess usage of alcohol and marijuana in Pakistani commercial drivers. Methods A sample of 857 commercial bus and truck drivers was interviewed in October 2008 at the largest commercial vehicle station in Rawalpindi and Islamabad, Pakistan. Time location cluster sampling was used to select the subjects and a structured questionnaire was used to assess the basic demographic profile, substance abuse habits of the drivers while on the road, and reasons for usage of illicit substances while driving were recorded. Self reported information was collected after obtaining informed consent. Chi square and fisher exact tests were used to assess differences between groups and logistic regression was used to identify significant associations between driver characteristics and alcohol and marijuana use. Results Almost 10% of truck drivers use alcohol while driving on Pakistani roads. Marijuana use is almost 30% in some groups. Statistically different patterns of usage are seen between population subgroups based on age, ethnicity, education, and marital status. Regression analysis shows association of alcohol and marijuana use with road rage and error behaviours, and also with an increased risk of being involved in road crashes. The reported reasons for using alcohol or marijuana show a general lack of awareness of the hazardous nature of this practice among the commercial driver population. Conclusion Alcohol and marijuana use is highly prevalent in Pakistani commercial drivers. The issue needs to be recognized by concerned authorities and methods such as random breath tests and sobriety check points need to be employed for proper law

  15. Anthropogenic Drivers of Ecosystem Change: an Overview

    Directory of Open Access Journals (Sweden)

    Gerald C. Nelson

    2006-12-01

    Full Text Available This paper provides an overview of what the Millennium Ecosystem Assessment (MA calls "indirect and direct drivers" of change in ecosystem services at a global level. The MA definition of a driver is any natural or human-induced factor that directly or indirectly causes a change in an ecosystem. A direct driver unequivocally influences ecosystem processes. An indirect driver operates more diffusely by altering one or more direct drivers. Global driving forces are categorized as demographic, economic, sociopolitical, cultural and religious, scientific and technological, and physical and biological. Drivers in all categories other than physical and biological are considered indirect. Important direct drivers include changes in climate, plant nutrient use, land conversion, and diseases and invasive species. This paper does not discuss natural drivers such as climate variability, extreme weather events, or volcanic eruptions.

  16. Resource utilization and outcomes of intoxicated drivers.

    Science.gov (United States)

    Cherry, Robert A; Nichols, Pamela A; Snavely, Theresa M; Camera, Lindsay J; Mauger, David T

    2010-08-05

    The high risk behavior of intoxicated drivers, impaired reaction time, lack of seat belt use, and increased incidence of head injury raises questions of whether pre-hospital use of alcohol leads to a higher injury severity score and worse clinical outcomes. We therefore compared intoxicated and non-intoxicated drivers of motor vehicle crashes with respect to outcome measurements and also describe the resources utilized to achieve those outcomes at our Level 1 trauma center. Retrospective descriptive study (Jan 2002-June 2007) of our trauma registry and financial database comparing intoxicated drivers with blood alcohol levels (BAC) > 80 mg/dl (ETOH > 80) with drivers who had a BAC of 0 mg/dl (ETOH = 0). Drivers without a BAC drawn or who had levels ranging from 1 mg/dL to 80 mg/dL were excluded. Data was collected on demographic information (age, gender, injury severity score or ISS), outcome variables (mortality, complications, ICU and hospital LOS, ventilator days) and resource utilization (ED LOS, insurance, charges, costs, payments). p 80; stratified chi square. Out of 1732 drivers, the combined study group (n = 987) of 623 ETOH = 0 and 364 ETOH > 80 had a mean age of 38.8 +/- 17.9, ISS of 18.0 +/- 12.1, and 69.8%% male. There was no difference in ISS (p = 0.67) or complications (p = 0.38). There was a trend towards decreased mortality (p = 0.06). The ETOH = 0 group had more patients with a prolonged ICU LOS (>/= 5 days), ventilator days (>/= 8 days), and hospital LOS (> 14 days) when compared to the ETOH > 80 group (p 80 group tended to be self pay (4.9% vs. 0.7%, p pay, less likely to have charges > $50K, and less likely to pay >/= 90% of the charges. Further research using multivariable analysis is needed to determine if these apparent outcomes differences are driven by acute intoxication, and the tendency for endotracheal intubation and ICU admission, rather than injury severity.

  17. Seasonal variability of oxidative stress markers in city bus drivers. Part II. Oxidative damage to lipids and proteins.

    Science.gov (United States)

    Rossner, Pavel; Svecova, Vlasta; Milcova, Alena; Lnenickova, Zdena; Solansky, Ivo; Sram, Radim J

    2008-07-03

    The aim of the present study was to investigate the seasonal variability of markers of oxidative damage to lipids (15-F2t-isoprostane, 15-F2t-IsoP) and proteins (protein carbonyl levels) in 50 bus drivers and 50 controls from Prague, Czech Republic, and to identify factors affecting oxidative stress markers. The samples were collected in three seasons with different levels of air pollution. The exposure to environmental pollutants (carcinogenic polycyclic aromatic hydrocarbons, c-PAHs, particulate matter, PM2.5 and PM10, and volatile organic compounds, VOC) was monitored by personal and/or stationary monitors. For the analysis of both markers, ELISA techniques were used. The median levels of individual markers in bus drivers versus controls were as follows: 15-F2t-IsoP (nmol/mmol creatinine): winter 2005, 0.81 versus 0.68 (pbus drivers in winter seasons, but not in summer. Lipid peroxidation was positively correlated with c-PAHs and PM exposure; protein oxidation correlated negatively and was highest in summer suggesting another factor(s) affecting protein carbonyl levels.

  18. Lone workers attitudes towards their health: views of Ontario truck drivers and their managers.

    Science.gov (United States)

    McDonough, Beatrice; Howard, Michelle; Angeles, Ricardo; Dolovich, Lisa; Marzanek-Lefebvre, Francine; Riva, John J; Laryea, Stephanie

    2014-05-14

    Truck driving is the second most common occupation among Canadian men. Transportation of goods via roads is of crucial importance for the Canadian economy. The industry is responsible annually for $17 billion in GDP and is projected to increase by 28% over the next 10 years. Recruitment is an issue with 20% of drivers projected to retire or leave the profession in the next 10 years. Despite the reliance on transport truck drivers for the delivery of goods which affects Canada's economy and daily living of residents, little is known about the health care needs of this large cohort of primarily male lone workers from a drivers' perspective. Transport truck drivers are independent workers whose non traditional workplace is their tractor, the truck stops and the journey on the road.The objective of this study was to obtain a contextually informed description of lifestyle issues, health and disease risk factors experienced by drivers and perceived by their managers in the truck driving occupation. Using a grounded theory approach, 4 focus groups were conducted with drivers (n = 16) and managers (n = 10) from two trucking companies in Southwestern Ontario to identify the lived experience of the drivers as it relates to preventable risks to health and wellness. A semi structured guided interview was used to explore the lifestyle context of transport truck driving and organizational aspects of the occupation (workplace culture, working conditions and health and wellness promotion). The predominant themes described stress, workplace, communication, lifestyle, driving culture, family, and fatigue concerns. In terms of the transportation work environment, drivers and managers were aware of the profession's potential to foster lifestyle related chronic diseases but described challenges in making the profession more amenable to a healthy lifestyle. Workplace environmental determinants are significant in shaping health behaviours. Chronic disease health risks were the

  19. Exploring the safety implications of young drivers' behavior, attitudes and perceptions.

    Science.gov (United States)

    Hassan, Hany M; Abdel-Aty, Mohamed A

    2013-01-01

    The present study aims at identifying and quantifying significant factors (i.e., demographic, aberrant driving behavior) associated with young drivers' involvement in at-fault crashes or traffic citations at the ages of 16-17 (while having the Operational License) and 18-24 years old (while having the Full License). A second objective was to investigate the main reason(s) for involvement in risky driving behavior by young drivers. The data used for the analyses were obtained from a self-reported questionnaire survey carried out among 680 young drivers in Central Florida. To achieve these goals, the structural equation modeling approach was adopted. The results revealed that aggressive violations, in-vehicle distractions and demographic characteristics were the significant factors affecting young drivers' involvement in at-fault crashes or traffic violations at the age of 16-17. However, in-vehicle distractions, attitudes toward speeding and demographic characteristics were the significant factors affecting young drivers' crash risk at 18-24. Additionally, the majority of participants reported that "running late" is the main reason for taking risk while driving (i.e., speeding, accept short gaps, or drive so close to the car in front) followed by "racing other cars". Additionally, "exceed speed limits" was the main reason for receiving traffic citations at 16-17 and 18-24 age groups. Practical suggestions on how to reduce crash risk and promote safe driving among young drivers are also discussed. Copyright © 2012 Elsevier Ltd. All rights reserved.

  20. Drivers' reactions to sudden lead car braking under varying workload conditions; towards a driver support system.

    NARCIS (Netherlands)

    Schaap, Nina; van der Horst, A.R.A.; van Arem, Bart; Brookhuis, K.A.

    2008-01-01

    At urban intersections drivers handle multiple tasks simultaneously, making urban driving a complex task. An advanced driver assistance system may support drivers in this specific driving task, but the design details of such a system need to be determined before they can be fully deployed. A driving

  1. Do the designated drivers of college students stay sober?

    Science.gov (United States)

    Timmerman, Mary Ann; Geller, E Scott; Glindemann, Kent E; Fournier, Angela K

    2003-01-01

    By numerous accounts, alcohol abuse is considered the number one drug problem facing young people today. Alcohol consumption and its negative consequences, especially those due to drinking and driving, continue to have devastating effects on the college student population. This field study examined the blood alcohol concentration (BAC) levels of male and female designated drivers (DD), non-DD, and their respective passengers as they were leaving drinking establishments in a university town. Also investigated were the effects of group size and gender on DD use. A 2 Gender x 2 Driver type (DD vs. non-DD) analysis of variance (ANOVA) for BAC indicated significant main effects for Gender and Driver type, with higher BAC for men and non-DD (p'shome with a male DD may still be at risk for the negative consequences of drunk driving.

  2. Managing small-scale commercial fisheries for adaptive capacity: insights from dynamic social-ecological drivers of change in Monterey Bay.

    Science.gov (United States)

    Aguilera, Stacy E; Cole, Jennifer; Finkbeiner, Elena M; Le Cornu, Elodie; Ban, Natalie C; Carr, Mark H; Cinner, Joshua E; Crowder, Larry B; Gelcich, Stefan; Hicks, Christina C; Kittinger, John N; Martone, Rebecca; Malone, Daniel; Pomeroy, Carrie; Starr, Richard M; Seram, Sanah; Zuercher, Rachel; Broad, Kenneth

    2015-01-01

    Globally, small-scale fisheries are influenced by dynamic climate, governance, and market drivers, which present social and ecological challenges and opportunities. It is difficult to manage fisheries adaptively for fluctuating drivers, except to allow participants to shift effort among multiple fisheries. Adapting to changing conditions allows small-scale fishery participants to survive economic and environmental disturbances and benefit from optimal conditions. This study explores the relative influence of large-scale drivers on shifts in effort and outcomes among three closely linked fisheries in Monterey Bay since the Magnuson-Stevens Fisheries Conservation and Management Act of 1976. In this region, Pacific sardine (Sardinops sagax), northern anchovy (Engraulis mordax), and market squid (Loligo opalescens) fisheries comprise a tightly linked system where shifting focus among fisheries is a key element to adaptive capacity and reduced social and ecological vulnerability. Using a cluster analysis of landings, we identify four modes from 1974 to 2012 that are dominated (i.e., a given species accounting for the plurality of landings) by squid, sardine, anchovy, or lack any dominance, and seven points of transition among these periods. This approach enables us to determine which drivers are associated with each mode and each transition. Overall, we show that market and climate drivers are predominantly attributed to dominance transitions. Model selection of external drivers indicates that governance phases, reflected as perceived abundance, dictate long-term outcomes. Our findings suggest that globally, small-scale fishery managers should consider enabling shifts in effort among fisheries and retaining existing flexibility, as adaptive capacity is a critical determinant for social and ecological resilience.

  3. General oilfield driver improvement

    International Nuclear Information System (INIS)

    Johnson, G.

    1997-01-01

    The general oilfield driver improvement (GODI) course was discussed. The course is offered to truckers in the oil and gas industry to help reduce accidents and injuries. Oilfield trucking is one of the most accident and injury prone sectors in the Alberta economy. This paper presented Heck's Trucking company's experience in sending its employees on the course. Drivers were taught (1) the National safety code requirements, (2) Commercial Vehicle Safety Alliance requirements, (3) occupational health and safety concerns, (4) vehicle dimension and GVW restrictions, (5) hours of service regulations, (6) log book and pre-trip inspection requirements, (7) workplace hazardous material information, and (8) transportation of dangerous goods. Overall, the course was judged to provide excellent training before sending drivers into the field. The employee, the customer, and the company, all stand to benefit from having rigorous and uniform standards for all drivers in the oil and gas industry

  4. VD-411 branch driver

    International Nuclear Information System (INIS)

    Gorbunov, N.V.; Karev, A.G.; Mal'tsev, Eh.I.; Morozov, B.A.

    1985-01-01

    The VD-411 branch driver for CAMAC moduli control by the SM-4 computer is described. The driver realizes data exchange with moduli disposed in 28 crates grouped in 4 branches. Data exchange can be carried out either in the program regime or in the regime of direct access to the memory. Fulfilment of 11 block regimes and one program regime is provided for. A possibility of individual programming of exchange methods in block regimes is left for users for organisation of quicker and most flexible data removal from the CAMAC moduli. In the regime of direct access the driver provides data transmission at the size up to 64 Kwords placing it in the computer memory of 2 M byte. High rate of data transmission and the developed system of interruptions ensure efficient utilization of the VD-411 branch driver at data removal from facilities in high energy physics experiments

  5. The effects of sleep loss on young drivers' performance: A systematic review.

    Directory of Open Access Journals (Sweden)

    Shamsi Shekari Soleimanloo

    Full Text Available Young drivers (18-24 years are over-represented in sleep-related crashes (comprising one in five fatal crashes in developed countries primarily due to decreased sleep opportunity, lower tolerance for sleep loss, and ongoing maturation of brain areas associated with driving-related decision making. Impaired driving performance is the proximal reason for most car crashes. There is still a limited body of evidence examining the effects of sleep loss on young drivers' performance, with discrepancies in the methodologies used, and in the definition of outcomes. This study aimed to identify the direction and magnitude of the effects of sleep loss on young drivers' performance, and to appraise the quality of current evidence via a systematic review. Based on the Preferred Reporting Items for Systematic Reviews and Meta- Analyses (PRISMA approach, 16 eligible studies were selected for review, and their findings summarised. Next, critical elements of these studies were identified, and the Grading of Recommendations Assessment, Development and Evaluation (GRADE guidelines augmented to rate those elements. Using those criteria, the quality of individual papers was calculated and the overall body of evidence for each driving outcome were assigned a quality ranking (from 'very low' to 'high-quality'. Two metrics, the standard deviation of lateral position and number of line crossings, were commonly reported outcomes (although in an overall 'low-quality' body of evidence, with significant impairments after sleep loss identified in 50% of studies. While speed-related outcomes and crash events (also with very low- quality evidence both increased under chronic sleep loss, discrepant findings were reported under conditions of acute total sleep deprivation. It is crucial to obtain more reliable data about the effects of sleep loss on young drivers' performance by using higher quality experimental designs, adopting common protocols, and the use of consistent

  6. Driving decisions when leaving electronic music dance events: driver, passenger, and group effects.

    Science.gov (United States)

    Johnson, Mark B; Voas, Robert B; Miller, Brenda A

    2012-01-01

    The goal of this article was to identify characteristics of drivers and passengers that predicted peer groups whose drivers exit dance clubs with alcohol levels indicative of impairment (blood alcohol content [BAC] ≥ 0.05 g/dL). We used the portal survey methodology to randomly sample groups of electronic music dance event (EMDE) patrons as they entered and exited a club. From May through November 2010, data were collected from 38 EMDEs hosted by 8 clubs in the San Francisco Bay area. Data included in these analyses are results from breath samples for measuring BAC and self-report data on demographics, recent drinking history drinking, drinking intentions, travel to and from the clubs, and the familiarity/experience with other group members. These data were collected from a subset of 175 drivers and 272 passengers. Although drivers drank less than passengers, one driver in 5 groups had a BAC indicative of elevated crash risk (BAC ≥ 0.05 g/dL). Groups of drivers and/or passengers with a recent history of binge drinking were more likely to have drivers with BACs ≥ 0.05 g/dL. One unanticipated finding was that drivers who knew more group members relatively well were more likely to exit the club with a BAC ≥ 0.05 g/dL. Additionally, we found that groups with all female passengers were at greater risk for having a driver whose BAC was ≥ 0.05 g/dL. Some group characteristics predicted drivers who exit clubs with BACs ≥ 0.05 g/dL. One intervention strategy to promote safety might be to encourage group members to reconsider who is sober enough to drive away from the club; for some groups, a change of drivers would be a safer choice, because a passenger may have a relatively safe BAC. Groups of females appear to have a particularly elevated risk of having a driver whose BAC exceeds 0.05 g/dL, and new intervention efforts should be particularly directed to these at-risk groups.

  7. Understanding road safety in Kenya: views of matatu drivers.

    Science.gov (United States)

    Raynor, Nicolas J; Mirzoev, Tolib

    2014-09-01

    Road traffic accidents (RTAs) are estimated to cause 1.3 million deaths and 20-50 million injuries worldwide. Road safety is a challenge in Kenya with causes being multi-factorial. Matatus (minibuses) are involved in a large proportion of accidents. A literature review was completed to identify key issues and refine the scope of the study. The fieldwork included 20 semi-structured interviews with matatu drivers. All participants were male, with driving experience of 1-20 years. Thematic framework was used for analysis. Some unstructured observations on different road users and their behaviours were also recorded. Literature showed that the causes of RTAs in Kenya are multi-factorial, but that human factors play a large part. There is also an evidence gap concerning matatu drivers, who are key stakeholders in road safety. Fieldwork showed that the matatu industry creates financial pressures on drivers and an excessive level of competition, leading to dangerous driving. Corruption of traffic police appears to be a major barrier to improving road safety, as road safety legislation is not enforced, and bribery has become the cultural norm. The general public, including passengers and private vehicles owners, also cause problems by failing to understand their role in road safety and placing the blame on others. The key policy implication for improving road safety in Kenya is seeking measures to ensure responsibility by all road users through awareness raising in the short-term and reforming the matatu industry and addressing the root causes of corruption in the longer term. © The Author 2014. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  8. Spatially-explicit modeling of multi-scale drivers of aboveground forest biomass and water yield in watersheds of the Southeastern United States.

    Science.gov (United States)

    Ajaz Ahmed, Mukhtar Ahmed; Abd-Elrahman, Amr; Escobedo, Francisco J; Cropper, Wendell P; Martin, Timothy A; Timilsina, Nilesh

    2017-09-01

    Understanding ecosystem processes and the influence of regional scale drivers can provide useful information for managing forest ecosystems. Examining more local scale drivers of forest biomass and water yield can also provide insights for identifying and better understanding the effects of climate change and management on forests. We used diverse multi-scale datasets, functional models and Geographically Weighted Regression (GWR) to model ecosystem processes at the watershed scale and to interpret the influence of ecological drivers across the Southeastern United States (SE US). Aboveground forest biomass (AGB) was determined from available geospatial datasets and water yield was estimated using the Water Supply and Stress Index (WaSSI) model at the watershed level. Our geostatistical model examined the spatial variation in these relationships between ecosystem processes, climate, biophysical, and forest management variables at the watershed level across the SE US. Ecological and management drivers at the watershed level were analyzed locally to identify whether drivers contribute positively or negatively to aboveground forest biomass and water yield ecosystem processes and thus identifying potential synergies and tradeoffs across the SE US region. Although AGB and water yield drivers varied geographically across the study area, they were generally significantly influenced by climate (rainfall and temperature), land-cover factor1 (Water and barren), land-cover factor2 (wetland and forest), organic matter content high, rock depth, available water content, stand age, elevation, and LAI drivers. These drivers were positively or negatively associated with biomass or water yield which significantly contributes to ecosystem interactions or tradeoff/synergies. Our study introduced a spatially-explicit modelling framework to analyze the effect of ecosystem drivers on forest ecosystem structure, function and provision of services. This integrated model approach facilitates

  9. 77 FR 75491 - Entry-Level Driver Training; Public Listening Session

    Science.gov (United States)

    2012-12-20

    ... identified are supported by research and data analyses, including cost/benefit considerations. The session...-27748] Entry-Level Driver Training; Public Listening Session AGENCY: Federal Motor Carrier Safety Administration (FMCSA), DOT. ACTION: Notice of public listening session. SUMMARY: FMCSA announces that it will...

  10. The Train Driver Recovery Problem - a Set Partitioning Based Model and Solution Method

    DEFF Research Database (Denmark)

    Rezanova, Natalia Jurjevna; Ryan, David

    2010-01-01

    The need to recover a train driver schedule occurs during major disruptions in the daily railway operations. Based on data from the Danish passenger railway operator DSB S-tog A/S, a solution method to the train driver recovery problem (TDRP) is developed. The TDRP is formulated as a set...... branching strategy using the depth-first search of the Branch & Bound tree. The LP relaxation of the TDRP possesses strong integer properties. We present test scenarios generated from the historical real-life operations data of DSB S-tog A/S. The numerical results show that all but one tested instances...... partitioning problem. We define a disruption neighbourhood by identifying a small set of drivers and train tasks directly affected by the disruption. Based on the disruption neighbourhood, the TDRP model is formed and solved. If the TDRP solution provides a feasible recovery for the drivers within...

  11. Road accidents caused by sleepy drivers: Update of a Norwegian survey.

    Science.gov (United States)

    Phillips, Ross Owen; Sagberg, Fridulv

    2013-01-01

    The current study tests, updates and expands a model of factors associated with sleepy driving, originally based on a 1997 survey of accident-involved Norwegian drivers (Sagberg, F., 1999. Road accidents caused by drivers falling asleep. Accident Analysis & Prevention 31, 639-649). The aim is to establish a robust model to inform measures to tackle sleepy driving. The original questions on (i) tiredness-related accidents and (ii) incidents of sleep behind the wheel in the last 12 months were again posed in 2003 and 2008, in independent surveys of Norwegian drivers involved in accidents reported to a large insurance company. According to those drivers at-fault for the accident, tiredness or sleepiness behind the wheel contributed to between 1.9 and 3.9 per cent of all types of accident reported to the insurance company across these years. Accident-involved drivers not at fault for the accident reported a reduction in the incidence of sleep behind the wheel for the preceding year, decreasing from 8.3 per cent in 1997 to 2.9 per cent in 2008. The reasons for this are not clear. According to logistic regression analysis of survey responses, the following factors were robustly associated with road accidents involving sleepy driving: driving off the road; good road conditions; longer distance driven since the start of the trip; and fewer years with a driving licence. The following factors are consistently associated with reports of sleep behind the wheel, whether or not it leads to an accident: being male; driving further per year; being younger; and having sleep-related health problems. Taken together these findings suggest that young, inexperienced male drivers who drive long distances may be a suitable target for road safety campaigns aimed at tackling sleepy driving. Copyright © 2012 Elsevier Ltd. All rights reserved.

  12. A new lattice model of traffic flow with the consideration of the driver's forecast effects

    Energy Technology Data Exchange (ETDEWEB)

    Peng, G.H., E-mail: pengguanghan@yahoo.com.cn [College of Physics and Electronic Science, Hunan University of Arts and Science, Changde 415000 (China); Cai, X.H.; Liu, C.Q.; Cao, B.F. [College of Physics and Electronic Science, Hunan University of Arts and Science, Changde 415000 (China)

    2011-05-30

    In this Letter, a new lattice model is presented with the consideration of the driver's forecast effects (DFE). The linear stability condition of the extended model is obtained by using the linear stability theory. The analytical results show that the new model can improve the stability of traffic flow by considering DFE. The modified KdV equation near the critical point is derived to describe the traffic jam by nonlinear analysis. Numerical simulation also shows that the new model can improve the stability of traffic flow by adjusting the driver's forecast intensity parameter, which is consistent with the theoretical analysis. -- Highlights: → A new driver's forecast lattice model of traffic flow has been presented. → The driver's forecast effects on the stability of traffic flow have been explored. → The modified KdV equation near the critical point is derived to describe the traffic jam by nonlinear analysis. → The analytical and numerical results show that the driver's forecast effect can improve the stability of traffic flow.

  13. Criteria for driver impairment

    NARCIS (Netherlands)

    Brookhuis, K.A.; De Waard, D.; Fairclough, S.H

    2003-01-01

    Most traffic accidents can be attributed to driver impairment, e.g. inattention, fatigue, intoxication, etc. It is now technically feasible to monitor and diagnose driver behaviour with respect to impairment with the aid of a limited number of in-vehicle sensors. However, a valid framework for the

  14. Identifying organizational deficiencies through root-cause analysis

    International Nuclear Information System (INIS)

    Tuli, R.W.; Apostolakis, G.E.

    1996-01-01

    All nuclear power plants incorporate root-cause analysis as an instrument to help identify and isolate key factors judged to be of significance following an incident or accident. Identifying the principal deficiencies can become very difficult when the event involves not only human and machine interaction, but possibly the underlying safety and quality culture of the organization. The current state of root-cause analysis is to conclude the investigation after identifying human and/or hardware failures. In this work, root-cause analysis is taken one step further by examining plant work processes and organizational factors. This extension is considered significant to the success of the analysis, especially when management deficiency is believed to contribute to the incident. The results of root-cause analysis can be most effectively implemented if the organization, as a whole, wishes to improve the overall operation of the plant by preventing similar incidents from occurring again. The study adds to the existing root-cause analysis the ability to localize the causes of undesirable events and to focus on those problems hidden deeply within the work processes that are routinely followed in the operation and maintenance of the facility

  15. Ecological drivers of shark distributions along a tropical coastline.

    Directory of Open Access Journals (Sweden)

    Peter M Yates

    Full Text Available As coastal species experience increasing anthropogenic pressures there is a growing need to characterise the ecological drivers of their abundance and habitat use, and understand how they may respond to changes in their environment. Accordingly, fishery-independent surveys were undertaken to investigate shark abundance along approximately 400 km of the tropical east coast of Australia. Generalised linear models were used to identify ecological drivers of the abundance of immature blacktip Carcharhinus tilstoni/Carcharhinus limbatus, pigeye Carcharhinus amboinensis, and scalloped hammerhead Sphyrna lewini sharks. Results indicated general and species-specific patterns in abundance that were characterised by a range of abiotic and biotic variables. Relationships with turbidity and salinity were similar across multiple species, highlighting the importance of these variables in the functioning of communal shark nurseries. In particular, turbid environments were especially important for all species at typical oceanic salinities. Mangrove proximity, depth, and water temperature were also important; however, their influence varied between species. Ecological drivers may promote spatial diversity in habitat use along environmentally heterogeneous coastlines and may therefore have important implications for population resilience.

  16. Ecological drivers of shark distributions along a tropical coastline.

    Science.gov (United States)

    Yates, Peter M; Heupel, Michelle R; Tobin, Andrew J; Simpfendorfer, Colin A

    2015-01-01

    As coastal species experience increasing anthropogenic pressures there is a growing need to characterise the ecological drivers of their abundance and habitat use, and understand how they may respond to changes in their environment. Accordingly, fishery-independent surveys were undertaken to investigate shark abundance along approximately 400 km of the tropical east coast of Australia. Generalised linear models were used to identify ecological drivers of the abundance of immature blacktip Carcharhinus tilstoni/Carcharhinus limbatus, pigeye Carcharhinus amboinensis, and scalloped hammerhead Sphyrna lewini sharks. Results indicated general and species-specific patterns in abundance that were characterised by a range of abiotic and biotic variables. Relationships with turbidity and salinity were similar across multiple species, highlighting the importance of these variables in the functioning of communal shark nurseries. In particular, turbid environments were especially important for all species at typical oceanic salinities. Mangrove proximity, depth, and water temperature were also important; however, their influence varied between species. Ecological drivers may promote spatial diversity in habitat use along environmentally heterogeneous coastlines and may therefore have important implications for population resilience.

  17. 49 CFR 396.13 - Driver inspection.

    Science.gov (United States)

    2010-10-01

    ... ADMINISTRATION, DEPARTMENT OF TRANSPORTATION FEDERAL MOTOR CARRIER SAFETY REGULATIONS INSPECTION, REPAIR, AND MAINTENANCE § 396.13 Driver inspection. Before driving a motor vehicle, the driver shall: (a) Be satisfied that the motor vehicle is in safe operating condition; (b) Review the last driver vehicle inspection...

  18. Do management practices support or constrain safe driving behaviour? A multi-level investigation in a sample of occupational drivers.

    Science.gov (United States)

    Newnam, Sharon; Warmerdam, Amanda; Sheppard, Dianne; Griffin, Mark; Stevenson, Mark

    2017-05-01

    It has been estimated that one-third of all work-related deaths occur while driving for work-related purposes. Despite this, many organisations are unaware of the practices, beyond those that identify and control the impact of unforeseen events (i.e., risk management), that predispose drivers to risk. This study addresses the issue by identifying the management practices operationalised as, High Performance Workplace Systems (HPWS) that influence safe driver behaviour. The study also explores the value given to safety by senior level management as a moderator of the relationship between HPWS practices and driver behaviour. Each factor was tested within a two level hierarchical model consisting of 911 drivers, nested within 161 supervisors and 83 organisations. The findings highight that under conditions of high investment in job and work design, communication and selection practices, drivers reported poorer driving behaviour. An interaction effect also demonstrated that under conditions of high investment in remuneration, drivers reported safer behaviour, but only when they perceived that managers valued and prioritised safety. The findings challenge current thinking in the management of workplace road safety. Copyright © 2017 Elsevier Ltd. All rights reserved.

  19. Preliminary simulation research of driver behaviour in response to outdoor advertisements

    Directory of Open Access Journals (Sweden)

    Targosiński Tomasz

    2017-01-01

    Full Text Available Advertisements placed near roads can pose a hazard to road safety because they attract the driver’s attention. Many attempts to describe and reduce this impact have been done. However, existing regulations treat this problem differently in different countries which demonstrates the significant difficulties in defining and investigating the impact factors of advertisements on driver behaviour. Pilot studies have been done using the eye-tracker and vehicle simulator. Based on the analysis of driver perception in a programmed and repeatable environment an attempt was made to select key factors influencing their attention in terms of the content of advertisements, the size and location in relation to the road and the personality of drivers.

  20. Driver Fatigue Detection System Using Electroencephalography Signals Based on Combined Entropy Features

    Directory of Open Access Journals (Sweden)

    Zhendong Mu

    2017-02-01

    Full Text Available Driver fatigue has become one of the major causes of traffic accidents, and is a complicated physiological process. However, there is no effective method to detect driving fatigue. Electroencephalography (EEG signals are complex, unstable, and non-linear; non-linear analysis methods, such as entropy, maybe more appropriate. This study evaluates a combined entropy-based processing method of EEG data to detect driver fatigue. In this paper, 12 subjects were selected to take part in an experiment, obeying driving training in a virtual environment under the instruction of the operator. Four types of enthrones (spectrum entropy, approximate entropy, sample entropy and fuzzy entropy were used to extract features for the purpose of driver fatigue detection. Electrode selection process and a support vector machine (SVM classification algorithm were also proposed. The average recognition accuracy was 98.75%. Retrospective analysis of the EEG showed that the extracted features from electrodes T5, TP7, TP8 and FP1 may yield better performance. SVM classification algorithm using radial basis function as kernel function obtained better results. A combined entropy-based method demonstrates good classification performance for studying driver fatigue detection.

  1. Quantify the Biophysical and Socioeconomic Drivers of Changes in Forest and Agricultural Land in South and Southeast Asia

    Science.gov (United States)

    Xu, X.; Jain, A. K.; Calvin, K. V.

    2017-12-01

    Due to the rapid socioeconomic development and biophysical factors, South and Southeast Asia (SSEA) has become a hotspot region of land use and land cover changes (LULCCs) in past few decades. Uncovering the drivers of LULCC is crucial for improving the understanding of LULCC processes. Due to the differences from spatiotemporal scales, methods and data sources in previous studies, the quantitative relationships between the LULCC activities and biophysical and socioeconomic drivers at the regional scale of SSEA have not been established. Here we present a comprehensive estimation of the biophysical and socioeconomic drivers of the major LULCC activities in SSEA: changes in forest and agricultural land. We used the Climate Change Initiative land cover data developed by European Space Agency to reveal the dynamics of forest and agricultural land from 1992 to 2015. Then we synthesized 200 publications about LULCC drivers at different spatial scales in SSEA to identify the major drivers of these LULCC activities. Corresponding representative variables of the major drivers were collected. The geographically weighted regression was employed to assess the spatiotemporally heterogeneous drivers of LULCC. Moreover, we validated our results with some national level case studies in SSEA. The results showed that both biophysical conditions such as terrain, soil, and climate, and socioeconomic factors such as migration, poverty, and economy played important roles in driving the changes of forest and agricultural land. The major drivers varied in different locations and periods. Our study integrated the bottom-up knowledge from local scale case studies with the top-down estimation of LULCC drivers, therefore generated more accurate and credible results. The identified biophysical and socioeconomic components could be used to improve the LULCC modelling and projection.

  2. SMARTPHONE-BASED APPROACH TO ADVANCED DRIVER ASSISTANCE SYSTEM (ADAS RESEARCH AND DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    I. B. Lashkov

    2015-11-01

    Full Text Available Subject of Research.The paper deals with findings and presents asmartphone-based approach to advanced driver assistance system (ADAS research and development.The approach is based on the data of smartphone cameras and sensors. The line of researchis associated with the developmentof mobile advanced driver assistance system (ADAS. Method.The proposedapproach isbased on the use of driver'sand vehicle behavior ontologies. Current ADAS systems can be divided into two main categories according to the method of implementation: mobile applications, manually installed by the driver from the application stores, and safetyhardware and softwaresystems,integrated into vehicles by manufacturesor in the automotive service centers.Mobile application installed on the smartphone uses the built-in rear and front-facing cameras and sensors to monitor both the road and vehicles ahead, and at the same time the driver in order to prevent traffic collisions. The service consists of components for objects recognition in the images obtained with cameras, and components for traffic situation analysis. Main Results. The driver safety mobile application has been developedfor the use on mobile phones.The mobile phone is mounted on the windshield of a car.In case of dangerous event occurrence, the application engine will make an audible or vibration signal to inform the driver to be concentratedand more vigilant. For example, road obstacles, rear-end and stationary vehicle accidents are the most common accident types.The mobile application detects whether a crash is imminent by computing the ‘Time To Contact’ (TTC taking into account host vehicle speed, relative speed and relative acceleration.If the driver doesn’t maintain safe minimum distance with the car immediately ahead, the mobile application will alert the driver by displaying an attention icon with an audible alert. The dual-camera sensing application is designed to help the drivers increase the trip safety

  3. Driver braking behavior analysis to improve autonomous emergency braking systems in typical Chinese vehicle-bicycle conflicts.

    Science.gov (United States)

    Duan, Jingliang; Li, Renjie; Hou, Lian; Wang, Wenjun; Li, Guofa; Li, Shengbo Eben; Cheng, Bo; Gao, Hongbo

    2017-11-01

    Bicycling is one of the fundamental modes of transportation especially in developing countries. Because of the lack of effective protection for bicyclists, vehicle-bicycle (V-B) accident has become a primary contributor to traffic fatalities. Although AEB (Autonomous Emergency Braking) systems have been developed to avoid or mitigate collisions, they need to be further adapted in various conflict situations. This paper analyzes the driver's braking behavior in typical V-B conflicts of China to improve the performance of Bicyclist-AEB systems. Naturalistic driving data were collected, from which the top three scenarios of V-B accidents in China were extracted, including SCR (a bicycle crossing the road from right while a car is driving straight), SCL (a bicycle crossing the road from left while a car is driving straight) and SSR (a bicycle swerving in front of the car from right while a car is driving straight). For safety and data reliability, a driving simulator was employed to reconstruct these three scenarios and some 25 licensed drivers were recruited for braking behavior analysis. Results revealed that driver's braking behavior was significantly influenced by V-B conflict types. Pre-decelerating behaviors were found in SCL and SSR conflicts, whereas in SCR the subjects were less vigilant. The brake reaction time and brake severity in lateral V-B conflicts (SCR and SCL) was shorter and higher than that in longitudinal conflicts (SSR). The findings improve their applications in the Bicyclist-AEB and test protocol enactment to enhance the performance of Bicyclist-AEB systems in mixed traffic situations especially for developing countries. Copyright © 2017 Elsevier Ltd. All rights reserved.

  4. IFE Power Plant design principles. Drivers. Solid state laser drivers

    International Nuclear Information System (INIS)

    Nakai, S.; Andre, M.; Krupke, W.F.; Mak, A.A.; Soures, J.M.; Yamanaka, M.

    1995-01-01

    The present status of solid state laser drivers for an inertial confinement thermonuclear fusion power plant is discussed. In particular, the feasibility of laser diode pumped solid state laser drivers from both the technical and economic points of view is briefly reviewed. Conceptual design studies showed that they can, in principle, satisfy the design requirements. However, development of new solid state materials with long fluorescence lifetimes and good thermal characteristics is a key issue for laser diode pumped solid state lasers. With the advent of laser diode pumping many materials which were abandoned in the past can presently be reconsidered as viable candidates. It is also concluded that it is important to examine the technical requirements for solid state lasers in relation to target performance criteria. The progress of laser diode pumped lasers in industrial applications should also be closely watched to provide additional information on the economic feasibility of this type of driver. 15 refs, 9 figs, 2 tabs

  5. Tunable driver for the LLNL FEL experiment

    International Nuclear Information System (INIS)

    Guss, W.C.; Basten, M.A.; Kreischer, K.E.; Temkin, R.J.

    1991-07-01

    This report describes main activities undertaken during the period 1 June 1990 to 1 June 1991 by MIT to support the Lawrence Livermore National Laboratory tunable FEL driver project. The goal of this research was to further characterize a tunable microwave source (already identified as a BWO-gyrotron) of moderate output power (10--20 kW). In the 1989 fiscal year, the source was assembled at MIT and initial tests were conducted. Proposed for the fiscal year 1990 were analysis of the previous experimental results, and the performance of new experiments designed to increase the voltage tuning range, the output efficiency, and magnetic field tuning. During the report period the previous experimental results were analyzed and compared to computational results and new components were designed, to make the BWO ready for further experiments. In addition, the BWO-gyrotron was mounted in a new superconducting magnet and initial magnetic field profile measurements were made

  6. The reaction times of drivers aged 20 to 80 during a divided attention driving.

    Science.gov (United States)

    Svetina, Matija

    2016-11-16

    Many studies addressing age-related changes in driving performance focus on comparing young vs. older drivers, which might lead to the biased conclusion that driving performance decreases only after the age of 65. The main aim of the study was to show that changes in driving performance are progressive throughout the adult years. A sample of 351 drivers aged 20 to 80 was assessed for their reaction times while driving between road cones. The drivers were exposed to 2 conditions varying according to task complexity. In single task conditions, the drivers performed a full stopping maneuver at a given signal; in dual task conditions, the drivers were distracted before the signal for stopping maneuver was triggered. Reaction times were compared across conditions and age groups. The results showed that both reaction times and variability of driving performance increased progressively between the ages of 20 and 80. The increase in both reaction times and variability was greater in the complex task condition. The high-performing quarter of elderly drivers performed equally well or better than younger drivers did. The data clearly supported the claim that driving performance changes steadily across age groups: both mean reaction time and interindividual variability progressively increase with age. In addition, a significant group of older drivers was identified who did not show the expected age-related decrease in performance. The findings have important implications, suggesting that in relation to driving, aging is a progressive phenomenon and may lead to variety of driving performance; age-related studies of driving performance should put more emphasis on investigating changes across the whole driver age range rather than only comparing younger and older drivers.

  7. Characterizing driver-response relationships in marine pelagic ecosystems for improved ocean management.

    Science.gov (United States)

    Hunsicker, Mary E; Kappel, Carrie V; Selkoe, Kimberly A; Halpern, Benjamin S; Scarborough, Courtney; Mease, Lindley; Amrhein, Alisan

    2016-04-01

    Scientists and resource managers often use methods and tools that assume ecosystem components respond linearly to environmental drivers and human stressors. However, a growing body of literature demonstrates that many relationships are-non-linear, where small changes in a driver prompt a disproportionately large ecological response. We aim to provide a comprehensive assessment of the relationships between drivers and ecosystem components to identify where and when non-linearities are likely to occur. We focused our analyses on one of the best-studied marine systems, pelagic ecosystems, which allowed us to apply robust statistical techniques on a large pool of previously published studies. In this synthesis, we (1) conduct a wide literature review on single driver-response relationships in pelagic systems, (2) use statistical models to identify the degree of non-linearity in these relationships, and (3) assess whether general patterns exist in the strengths and shapes of non-linear relationships across drivers. Overall we found that non-linearities are common in pelagic ecosystems, comprising at least 52% of all driver-response relation- ships. This is likely an underestimate, as papers with higher quality data and analytical approaches reported non-linear relationships at a higher frequency (on average 11% more). Consequently, in the absence of evidence for a linear relationship, it is safer to assume a relationship is non-linear. Strong non-linearities can lead to greater ecological and socioeconomic consequences if they are unknown (and/or unanticipated), but if known they may provide clear thresholds to inform management targets. In pelagic systems, strongly non-linear relationships are often driven by climate and trophodynamic variables but are also associated with local stressors, such as overfishing and pollution, that can be more easily controlled by managers. Even when marine resource managers cannot influence ecosystem change, they can use information

  8. The impact of threat appeals on fear arousal and driver behavior: a meta-analysis of experimental research 1990-2011.

    Science.gov (United States)

    Carey, Rachel N; McDermott, Daragh T; Sarma, Kiran M

    2013-01-01

    The existing empirical research exploring the impact of threat appeals on driver behavior has reported inconsistent findings. In an effort to provide an up-to-date synthesis of the experimental findings, meta-analytic techniques were employed to examine the impact of threat-based messages on fear arousal and on lab-based indices of driving behavior. Experimental studies (k = 13, N = 3044), conducted between 1990 and 2011, were included in the analyses. The aims of the current analysis were (a) to examine whether or not the experimental manipulations had a significant impact on evoked fear, (b) to examine the impact of threat appeals on three distinct indices of driving, and (c) to identify moderators and mediators of the relationship between fear and driving outcomes. Large effects emerged for the level of fear evoked, with experimental groups reporting increased fear arousal in comparison to control groups (r = .64, n = 619, pappeals on driving outcomes, however, was not significant (r = .03, p = .17). This analysis of the experimental literature indicates that threat appeals can lead to increased fear arousal, but do not appear to have the desired impact on driving behavior. We discuss these findings in the context of threat-based road safety campaigns and future directions for experimental research in this area.

  9. Insights into vehicle trajectories at the handling limits: analysing open data from race car drivers

    Science.gov (United States)

    Kegelman, John C.; Harbott, Lene K.; Gerdes, J. Christian

    2017-02-01

    Race car drivers can offer insights into vehicle control during extreme manoeuvres; however, little data from race teams is publicly available for analysis. The Revs Program at Stanford has built a collection of vehicle dynamics data acquired from vintage race cars during live racing events with the intent of making this database publicly available for future analysis. This paper discusses the data acquisition, post-processing, and storage methods used to generate the database. An analysis of available data quantifies the repeatability of professional race car driver performance by examining the statistical dispersion of their driven paths. Certain map features, such as sections with high path curvature, consistently corresponded to local minima in path dispersion, quantifying the qualitative concept that drivers anchor their racing lines at specific locations around the track. A case study explores how two professional drivers employ distinct driving styles to achieve similar lap times, supporting the idea that driving at the limits allows a family of solutions in terms of paths and speed that can be adapted based on specific spatial, temporal, or other constraints and objectives.

  10. An extended continuum model accounting for the driver's timid and aggressive attributions

    Energy Technology Data Exchange (ETDEWEB)

    Cheng, Rongjun; Ge, Hongxia [Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211 (China); Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing 210096 (China); National Traffic Management Engineering and Technology Research Centre Ningbo University Sub-centre, Ningbo 315211 (China); Wang, Jufeng, E-mail: wjf@nit.zju.edu.cn [Ningbo Institute of Technology, Zhejiang University, Ningbo 315100 (China)

    2017-04-18

    Considering the driver's timid and aggressive behaviors simultaneously, a new continuum model is put forwarded in this paper. By applying the linear stability theory, we presented the analysis of new model's linear stability. Through nonlinear analysis, the KdV–Burgers equation is derived to describe density wave near the neutral stability line. Numerical results verify that aggressive driving is better than timid act because the aggressive driver will adjust his speed timely according to the leading car's speed. The key improvement of this new model is that the timid driving deteriorates traffic stability while the aggressive driving will enhance traffic stability. The relationship of energy consumption between the aggressive and timid driving is also studied. Numerical results show that aggressive driver behavior can not only suppress the traffic congestion but also reduce the energy consumption. - Highlights: • A new continuum model is developed with the consideration of the driver's timid and aggressive behaviors simultaneously. • Applying the linear stability theory, the new model's linear stability is obtained. • Through nonlinear analysis, the KdV–Burgers equation is derived. • The energy consumption for this model is studied.

  11. An extended continuum model accounting for the driver's timid and aggressive attributions

    International Nuclear Information System (INIS)

    Cheng, Rongjun; Ge, Hongxia; Wang, Jufeng

    2017-01-01

    Considering the driver's timid and aggressive behaviors simultaneously, a new continuum model is put forwarded in this paper. By applying the linear stability theory, we presented the analysis of new model's linear stability. Through nonlinear analysis, the KdV–Burgers equation is derived to describe density wave near the neutral stability line. Numerical results verify that aggressive driving is better than timid act because the aggressive driver will adjust his speed timely according to the leading car's speed. The key improvement of this new model is that the timid driving deteriorates traffic stability while the aggressive driving will enhance traffic stability. The relationship of energy consumption between the aggressive and timid driving is also studied. Numerical results show that aggressive driver behavior can not only suppress the traffic congestion but also reduce the energy consumption. - Highlights: • A new continuum model is developed with the consideration of the driver's timid and aggressive behaviors simultaneously. • Applying the linear stability theory, the new model's linear stability is obtained. • Through nonlinear analysis, the KdV–Burgers equation is derived. • The energy consumption for this model is studied.

  12. Driver fatigue alarm based on eye detection and gaze estimation

    Science.gov (United States)

    Sun, Xinghua; Xu, Lu; Yang, Jingyu

    2007-11-01

    The driver assistant system has attracted much attention as an essential component of intelligent transportation systems. One task of driver assistant system is to prevent the drivers from fatigue. For the fatigue detection it is natural that the information about eyes should be utilized. The driver fatigue can be divided into two types, one is the sleep with eyes close and another is the sleep with eyes open. Considering that the fatigue detection is related with the prior knowledge and probabilistic statistics, the dynamic Bayesian network is used as the analysis tool to perform the reasoning of fatigue. Two kinds of experiments are performed to verify the system effectiveness, one is based on the video got from the laboratory and another is based on the video got from the real driving situation. Ten persons participate in the test and the experimental result is that, in the laboratory all the fatigue events can be detected, and in the practical vehicle the detection ratio is about 85%. Experiments show that in most of situations the proposed system works and the corresponding performance is satisfying.

  13. USING THE SAFE SYSTEM APPROACH TO KEEP OLDER DRIVERS SAFELY MOBILE

    Directory of Open Access Journals (Sweden)

    Jim LANGFORD

    2006-01-01

    Full Text Available In 2003, Australian road transport jurisdictions collectively accepted that the greatest road safety gains would be achieved through adopting a Safe System approach, derived from Sweden's Vision Zero and the Netherlands' Sustainable Safety strategies. A key objective of all three approaches is to manage vehicles, the road infrastructure, speeds, road users and the interactions between these components, to ensure that in the event of crashes, crash energies will remain at levels that minimize the probability of death and serious injury. Older drivers pose a particular challenge to the Safe System approach, given particularly their greater physical frailty, their driving patterns and for some at least, their reduced fitness to drive. This paper has analyzed the so-called ‘older driver problem’ and identified a number of key factors underpinning their crash levels, for which countermeasures can be identified and implemented within a Safe System framework. The recommended countermeasures consist of: (1 safer roads, through a series of design improvements particularly governing urban intersections; (2 safer vehicles, through both the promotion of crashworthiness as a critical consideration when purchasing a vehicle and the wide use of developed and developing ITS technologies; (3 safer speeds especially at intersections; and (4 safer road users, through both improved assessment procedures to identify the minority of older drivers with reduced fitness to drive and educational efforts to encourage safer driving habits particularly but not only through self-regulation.

  14. The profitability drivers in packaging materials reuse for manufacturers in business to business environments

    DEFF Research Database (Denmark)

    Larsen, Samuel; Deleuran, Brian; Jacobsen, Peter

    Purpose –The purpose of this paper is to explore the profitability drivers for a firm’s operation of a reverse supply chain (RSC) that takes back and reuses packaging materials. Results apply specifically to original equipment manufacturers (OEMs) in business to business environments. Design......’s theoretical basis is the RSC literature’s business perspective formulated by Guide and Van Wassenhove. Findings – The drivers of profitability in packaging materials reuse are 1) the amount of avoided costs of purchasing new packaging materials, 2) the firm’s ability to reduce costs of reverse logistics...... as between the drivers and their sub-level antecedents. Originality/value – The study provides exploratory insights into the economics of reusing packaging materials and identifies the drivers that are decisive for a firm’s ability to reuse packaging materials profitably....

  15. Drivers for the effective management of HIV and AIDS in the South African construction industry--a Delphi study.

    Science.gov (United States)

    Harinarain, Nishani; Haupt, Theo Conrad

    2014-09-01

    Different industries manage the threats presented by HIV and AIDS in different ways. The construction industry is particularly vulnerable to the pandemic because of its large unskilled labour force, high labour turnover and the migratory nature of the workforce. The study reported on in this paper, the first of its kind in the South African construction industry, aimed to identify the important drivers needed for the effective management of HIV and AIDS and to understand their impact on the construction industry. The aim was achieved in two stages. The first stage involved an extensive literature review to determine the factors that drive corporate response in the management of HIV and AIDS in the South African construction sector. Six drivers, namely legal requirements, social pressures, business costs, voluntary regulation, visibility of the disease, and individuals within companies with a total of 87 items were identified. An iterative Delphi technique with a panel of experts was used to validate the factors identified in the literature review and formed the second stage of this research. The Delphi method was used as it provided a systematic approach to achieve consensus on the six drivers for effective management of HIV and AIDS management in the construction industry. An expert panel responded to three iterations of questionnaires to achieve consensus. The experts reached consensus on 56 items categorised under the 6 drivers. This study found that the legal driver was considered most important but only second in terms of impact. The second most important driver was the visibility of the disease and was regarded as the driver with the highest impact. Internal agents ranked third in terms of importance and impact. This study can be used for further research to assist the construction industry in helping fight HIV and AIDS.

  16. Drivers' reactions to sudden braking by lead car under varying workload conditions; towards a driver support system

    NARCIS (Netherlands)

    Schaap, T. W.; van der Horst, A. R. A.; van Arem, B.; Brookhuis, K. A.

    2008-01-01

    At urban intersections drivers handle multiple tasks simultaneously, making urban driving a complex task. An advanced driver assistance system may support drivers in this specific driving task, but the design details of such a system need to be determined before they can be fully deployed. A driving

  17. Fusion of optimized indicators from Advanced Driver Assistance Systems (ADAS) for driver drowsiness detection.

    Science.gov (United States)

    Daza, Iván García; Bergasa, Luis Miguel; Bronte, Sebastián; Yebes, Jose Javier; Almazán, Javier; Arroyo, Roberto

    2014-01-09

    This paper presents a non-intrusive approach for monitoring driver drowsiness using the fusion of several optimized indicators based on driver physical and driving performance measures, obtained from ADAS (Advanced Driver Assistant Systems) in simulated conditions. The paper is focused on real-time drowsiness detection technology rather than on long-term sleep/awake regulation prediction technology. We have developed our own vision system in order to obtain robust and optimized driver indicators able to be used in simulators and future real environments. These indicators are principally based on driver physical and driving performance skills. The fusion of several indicators, proposed in the literature, is evaluated using a neural network and a stochastic optimization method to obtain the best combination. We propose a new method for ground-truth generation based on a supervised Karolinska Sleepiness Scale (KSS). An extensive evaluation of indicators, derived from trials over a third generation simulator with several test subjects during different driving sessions, was performed. The main conclusions about the performance of single indicators and the best combinations of them are included, as well as the future works derived from this study.

  18. Fusion of Optimized Indicators from Advanced Driver Assistance Systems (ADAS for Driver Drowsiness Detection

    Directory of Open Access Journals (Sweden)

    Iván G. Daza

    2014-01-01

    Full Text Available This paper presents a non-intrusive approach for monitoring driver drowsiness using the fusion of several optimized indicators based on driver physical and driving performance measures, obtained from ADAS (Advanced Driver Assistant Systems in simulated conditions. The paper is focused on real-time drowsiness detection technology rather than on long-term sleep/awake regulation prediction technology. We have developed our own vision system in order to obtain robust and optimized driver indicators able to be used in simulators and future real environments. These indicators are principally based on driver physical and driving performance skills. The fusion of several indicators, proposed in the literature, is evaluated using a neural network and a stochastic optimization method to obtain the best combination. We propose a new method for ground-truth generation based on a supervised Karolinska Sleepiness Scale (KSS. An extensive evaluation of indicators, derived from trials over a third generation simulator with several test subjects during different driving sessions, was performed. The main conclusions about the performance of single indicators and the best combinations of them are included, as well as the future works derived from this study.

  19. Microprocessor-based stepping motor driver

    International Nuclear Information System (INIS)

    Halbig, J.K.; Klosterbuer, S.F.

    1979-09-01

    The Pion Generation for Medical Irradiations (PIGMI) program at the Los Alamos Scientific Laboratory requires a versatile stepping motor driver to do beam diagnostic measurements. A driver controlled by a microprocessor that can move eight stepping motors simultaneously was designed. The driver can monitor and respond to clockwise- and counterclockwise-limit switches, and it can monitor a 0- to 10-V dc position signal. The software controls start and stop ramping and maximum stepping rates. 2 figures, 1 table

  20. Effects of passengers on bus driver celeration behavior and incident prediction.

    Science.gov (United States)

    Af Wåhlberg, A E

    2007-01-01

    Driver celeration (speed change) behavior of bus drivers has previously been found to predict their traffic incident involvement, but it has also been ascertained that the level of celeration is influenced by the number of passengers carried as well as other traffic density variables. This means that the individual level of celeration is not as well estimated as could be the case. Another hypothesized influence of the number of passengers is that of differential quality of measurements, where high passenger density circumstances are supposed to yield better estimates of the individual driver component of celeration behavior. Comparisons were made between different variants of the celeration as predictor of traffic incidents of bus drivers. The number of bus passengers was held constant, and cases identified by their number of passengers per kilometer during measurement were excluded (in 12 samples of repeated measurements). After holding passengers constant, the correlations between celeration behavior and incident record increased very slightly. Also, the selective prediction of incident record of those drivers who had had many passengers when measured increased the correlations even more. The influence of traffic density variables like the number of passengers have little direct influence on the predictive power of celeration behavior, despite the impact upon absolute celeration level. Selective prediction on the other hand increased correlations substantially. This unusual effect was probably due to how the individual propensity for high or low celeration driving was affected by the number of stops made and general traffic density; differences between drivers in this respect were probably enhanced by the denser traffic, thus creating a better estimate of the theoretical celeration behavior parameter C. The new concept of selective prediction was discussed in terms of making estimates of the systematic differences in quality of the individual driver data.

  1. [Remedial courses for alcohol apprehended drivers are effective!].

    Science.gov (United States)

    Jensch, M

    1990-07-01

    The effectiveness of the IFT, I.R.A.K. and LEER courses for drinking drivers has been examined thoroughly in an exhaustive scientific study. Empirical tests have clearly demonstrated that all three models are successful. In a critical analysis of these results, Hundhausen questions the effectiveness of the models. Hundhausen's arguments in this analysis are based on erroneous assumptions. This reply demonstrates the incorrectness of his argumentation.

  2. Characterisation of the main drivers of intra- and inter- breed variability in the plasma metabolome of dogs.

    Science.gov (United States)

    Lloyd, Amanda J; Beckmann, Manfred; Tailliart, Kathleen; Brown, Wendy Y; Draper, John; Allaway, David

    Dog breeds are a consequence of artificial selection for specific attributes. These closed genetic populations have metabolic and physiological characteristics that may be revealed by metabolomic analysis. To identify and characterise the drivers of metabolic differences in the fasted plasma metabolome and then determine metabolites differentiating breeds. Fasted plasma samples were collected from dogs maintained under two environmental conditions (controlled and client-owned at home). The former (n = 33) consisted of three breeds (Labrador Retriever, Cocker Spaniel and Miniature Schnauzer) fed a single diet batch, the latter (n = 96), client-owned dogs consisted of 9 breeds (Beagle, Chihuahua, Cocker Spaniel, Dachshund, Golden Retriever, Greyhound, German Shepherd, Labrador Retriever and Maltese) consuming various diets under differing feeding regimens. Triplicate samples were taken from Beagle (n = 10) and Labrador Retriever (n = 9) over 3 months. Non-targeted metabolite fingerprinting was performed using flow infusion electrospray-ionization mass spectrometry which was coupled with multivariate data analysis. Metadata factors including age, gender, sexual status, weight, diet and breed were investigated. Breed differences were identified in the plasma metabolome of dogs housed in a controlled environment. Triplicate samples from two breeds identified intra-individual variability, yet breed separation was still observed. The main drivers of variance in dogs maintained in the home environment were associated with breed and gender. Furthermore, metabolite signals were identified that discriminated between Labrador Retriever and Cocker Spaniels in both environments. Metabolite fingerprinting of plasma samples can be used to investigate breed differences in client-owned dogs, despite added variance of diet, sexual status and environment.

  3. Convenience food products. Drivers for consumption.

    Science.gov (United States)

    Brunner, Thomas A; van der Horst, Klazine; Siegrist, Michael

    2010-12-01

    Convenience is one of the big trends in the food business. The demand for convenience food products is steadily increasing; therefore, understanding convenience food consumption is an important issue. Despite being vital properties of convenience food, saving time and effort have not been very successful constructs for predicting convenience food consumption. To examine a wide range of possible drivers for convenience food consumption, the present study uses a convenience food frequency questionnaire that asks about consumption behavior. A paper-and-pencil questionnaire was sent out to a representative sample of people in German-speaking Switzerland and yielded N = 918 complete datasets from persons mainly responsible for buying and preparing food in the household. The various convenience food products could be categorized into four groups, which we labeled as highly processed food items, moderately processed food items, single components, and salads. Fifteen drivers were found to have a significant impact either on total convenience consumption or on one of the identified categories. Strong predictors were age, concern about naturalness, nutrition knowledge, and cooking skills. Copyright © 2010 Elsevier Ltd. All rights reserved.

  4. Factors Contributing to Crashes among Young Drivers

    Directory of Open Access Journals (Sweden)

    Lyndel J. Bates

    2014-08-01

    Full Text Available Young drivers are the group of drivers most likely to crash. There are a number of factors that contribute to the high crash risk experienced by these drivers. While some of these factors are intrinsic to the young driver, such as their age, gender or driving skill, others relate to social factors and when and how often they drive. This article reviews the factors that affect the risk of young drivers crashing to enable a fuller understanding of why this risk is so high in order to assist in developing effective countermeasures.

  5. Investigating the correspondence between driver head position and glance location

    Directory of Open Access Journals (Sweden)

    Joonbum Lee

    2018-02-01

    Full Text Available The relationship between a driver’s glance orientation and corresponding head rotation is highly complex due to its nonlinear dependence on the individual, task, and driving context. This paper presents expanded analytic detail and findings from an effort that explored the ability of head pose to serve as an estimator for driver gaze by connecting head rotation data with manually coded gaze region data using both a statistical analysis approach and a predictive (i.e., machine learning approach. For the latter, classification accuracy increased as visual angles between two glance locations increased. In other words, the greater the shift in gaze, the higher the accuracy of classification. This is an intuitive but important concept that we make explicit through our analysis. The highest accuracy achieved was 83% using the method of Hidden Markov Models (HMM for the binary gaze classification problem of (a glances to the forward roadway versus (b glances to the center stack. Results suggest that although there are individual differences in head-glance correspondence while driving, classifier models based on head-rotation data may be robust to these differences and therefore can serve as reasonable estimators for glance location. The results suggest that driver head pose can be used as a surrogate for eye gaze in several key conditions including the identification of high-eccentricity glances. Inexpensive driver head pose tracking may be a key element in detection systems developed to mitigate driver distraction and inattention.

  6. A study of driver's route choice behavior based on evolutionary game theory.

    Science.gov (United States)

    Jiang, Xiaowei; Ji, Yanjie; Du, Muqing; Deng, Wei

    2014-01-01

    This paper proposes a route choice analytic method that embeds cumulative prospect theory in evolutionary game theory to analyze how the drivers adjust their route choice behaviors under the influence of the traffic information. A simulated network with two alternative routes and one variable message sign is built to illustrate the analytic method. We assume that the drivers in the transportation system are bounded rational, and the traffic information they receive is incomplete. An evolutionary game model is constructed to describe the evolutionary process of the drivers' route choice decision-making behaviors. Here we conclude that the traffic information plays an important role in the route choice behavior. The driver's route decision-making process develops towards different evolutionary stable states in accordance with different transportation situations. The analysis results also demonstrate that employing cumulative prospect theory and evolutionary game theory to study the driver's route choice behavior is effective. This analytic method provides an academic support and suggestion for the traffic guidance system, and may optimize the travel efficiency to a certain extent.

  7. Influence of obesity on mortality of drivers in severe motor vehicle crashes.

    Science.gov (United States)

    Jehle, Dietrich; Gemme, Seth; Jehle, Christopher

    2012-01-01

    The purpose of the study was to investigate the relationship between obesity and mortality of drivers in severe motor vehicle crashes involving at least one fatality. Fatalities were selected from 155,584 drivers included in the 2000-2005 Fatality Analysis Reporting System. Drivers were stratified by body mass index, confounders were adjusted for, and multiple logistic regression was used to determine the odds ratio (OR) of death in each body mass index class compared with normal weight. The adjusted risk of death from lowest to highest, reported as the OR of death compared with normal weight with 95% confidence intervals, was as follows: (1) overweight (OR, 0.952; 0.911-0.995; P = .0293), (2) slightly obese (OR, 0.996; 0.966-1.026; P = .7758), (3) normal weight, (4) underweight (OR, 1.115; 1.035-1.201; P = .0043), (5) moderately obese (OR, 1.212; 1.128-1.302; P obese (OR, 1.559; 1.402-1.734; P obese, morbidly obese, and underweight drivers and a decreased risk in overweight drivers. Copyright © 2012 Elsevier Inc. All rights reserved.

  8. Predictors of severe trunk postures among short-haul truck drivers during non-driving tasks: an exploratory investigation involving video-assessment and driver behavioural self-monitoring.

    Science.gov (United States)

    Olson, R; Hahn, D I; Buckert, A

    2009-06-01

    Short-haul truck (lorry) drivers are particularly vulnerable to back pain and injury due to exposure to whole body vibration, prolonged sitting and demanding material handling tasks. The current project reports the results of video-based assessments (711 stops) and driver behavioural self-monitoring (BSM) (385 stops) of injury hazards during non-driving work. Participants (n = 3) worked in a trailer fitted with a camera system during baseline and BSM phases. Descriptive analyses showed that challenging customer environments and non-standard ingress/egress were prevalent. Statistical modelling of video-assessment results showed that each instance of manual material handling increased the predicted mean for severe trunk postures by 7%, while customer use of a forklift, moving standard pallets and moving non-standard pallets decreased predicted means by 12%, 20% and 22% respectively. Video and BSM comparisons showed that drivers were accurate at self-monitoring frequent environmental conditions, but less accurate at monitoring trunk postures and rare work events. The current study identified four predictors of severe trunk postures that can be modified to reduce risk of injury among truck drivers and showed that workers can produce reliable self-assessment data with BSM methods for frequent and easily discriminated events environmental.

  9. How to Train Safe Drivers: Setting Up and Evaluating a Fatigue Training Program

    Directory of Open Access Journals (Sweden)

    Adamos Giannis

    2015-02-01

    Full Text Available Fatigue is considered as a serious risk driving behavior, causing road accidents, which in many cases involve fatalities and severe injuries. According to CARE database statistics, professional drivers are indicated as a high-risk group to be involved in a fatigue-related accident. Acknowledging these statistics, a training program on driving fatigue was organized, aiming at raising awareness of professional drivers of a leading company in building materials, in Greece. Selected experimental methods were used for collecting data before and after the training program, which allowed monitoring and assessing the potential behavioural changes. A questionnaire survey was conducted before the program implementation to 162 drivers of the company, while two months after the program, the same drivers replied to a second questionnaire. Impact assessment of the program relied on statistical analysis of the responses. Results showed the degree of penetration of the training program in the professional drivers' behavior towards safe driving.

  10. Study on mobile phone use while driving in a sample of Iranian drivers.

    Science.gov (United States)

    Arvin, Ramin; Khademi, Mostafa; Razi-Ardakani, Hesamoddin

    2017-06-01

    The use of cell phone is a significant source of driver distraction. Phone use while driving can impair a number of factors critical for safe driving which can cause serious traffic safety problems. The objective of this paper was to investigate the frequency of using cell phones while driving in Iran's roads through an observational survey with a random sample of drivers, to recognize contributing factors to cell phone usage and to understand the magnitude of the problem. A total of 1794 observations were collected from 12 sites at controlled intersections, entrance and exit points of highways. The cell phone use rate among drivers (talking or texting) was estimated at 10% which is significantly higher than that in other countries such as Australia, USA and Canada. Rate of cell phone use among younger drivers (14.15%) was higher in comparison with other groups. In order to identify factors affecting cell phone use while driving, a binary logit model is estimated. Variables which significantly contribute to the rate of using cell phone were found to be the age of driver, number of passengers, presence of kids under the age of 8, time of observation, vehicle price and type of car.

  11. Drivers of Changes in Product Development Rules

    DEFF Research Database (Denmark)

    Christiansen, John K.; Varnes, Claus J.

    2015-01-01

    regimes. However, the analysis here indicates that there are different drivers, both internal and external, that cause companies to adopt new rules or modify their existing ones, such as changes in organizational structures, organizational conflicts, and changes in ownership or strategy. In addition......Purpose: - The purpose of this research is to investigate the drivers that induce companies to change their rules for managing product development. Most companies use a form of rule-based management approach, but surprisingly little is known about what makes companies change these rules...... 10 years based on three rounds of interviews with 40 managers. Findings: - Previous research has assumed that the dynamics of product development rules are based on internal learning processes, and that increasingly competent management will stimulate the implementation of newer and more complex rule...

  12. Aligning drivers, contract, and management of IT-outsourcing relationships: a type-dependent model

    DEFF Research Database (Denmark)

    Arenfeldt, Katrine; Corty Dam, Amalie; Fenger, Kim Harder

    2017-01-01

    In today’s competitive business environment, information technology outsourcing has become a wide-spread reality across all industries and sectors. Researchers have investigated this complex phenomenon from various angles, and established a sound knowledge base regarding the drivers, management......, and success factors related to IT outsourcing. However, little is known about the relationship between outsourcing drivers and goals on the one hand, and contractual and managerial aspects on the other hand. To overcome this gap, this study presents a synthesized conceptual model of existing literature...... that relates aspects of contractual governance and relationship management to three generic types of IT outsourcing, based on their underlying drivers: task-based, process-based, and partnership-based outsourcing. Our model identifies the specific contractual and managerial factors relevant for each type...

  13. Important information for drivers in France

    CERN Multimedia

    2012-01-01

    From 1 July 2012, any driver of a motorised road vehicle, excluding two- or three-wheeled vehicles whose engine capacity does not exceed 50cm3, must be in possession of a breathalyser in full working order. With effect from 1 November 2012*, drivers failing to produce a breathalyser run the risk of being served with an 11 euro fine. A breathalyser is used to measure the alcohol content in the motorist's breath. The permissible level of alcohol for drivers is less than 0.5 g of alcohol per litre of blood, or 0.25 mg of alcohol per litre of air exhaled. The obligation to have a breathalyser on board the vehicle also applies to all drivers on the French part of the CERN site. All vehicles belonging to or leased by the Organization must also carry a breathalyser together with all the requisite documentation (cf. Operational Circular No. 4). Drivers of privately owned vehicles can obtain breathalysers from car accessory dealers, service stations or pharmacies, etc. Drivers of vehicles belonging to or l...

  14. Social Cognitive Antecedents of Fruit and Vegetable Consumption in Truck Drivers: A Sequential Mediation Analysis.

    Science.gov (United States)

    Hamilton, Kyra; Vayro, Caitlin; Schwarzer, Ralf

    2015-01-01

    To examine a mechanism by which social cognitive factors may predict fruit and vegetable consumption in long-haul truck drivers. Dietary self-efficacy, positive outcome expectancies, and intentions were assessed in 148 Australian truck drivers, and 1 week later they reported their fruit and vegetable consumption. A theory-guided sequential mediation model was specified that postulated self-efficacy and intention as mediators between outcome expectancies and behavior. The hypothesized model was confirmed. A direct effect of outcome expectancies was no longer present when mediators were included, and all indirect effects were significant, including the 2-mediator chain (β = .15; P role of outcome expectancies and self-efficacy are important to consider for understanding and predicting healthy eating intentions in truck drivers. Copyright © 2015 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

  15. Characteristics of Single Vehicle Crashes with a Teen Driver in South Carolina, 2005-2008.

    Science.gov (United States)

    Shults, Ruth A; Bergen, Gwen; Smith, Tracy J; Cook, Larry; Kindelberger, John; West, Bethany

    2017-09-22

    Teens' crash risk is highest in the first years of independent driving. Circumstances surrounding fatal crashes have been widely documented, but less is known about factors related to nonfatal teen driver crashes. This study describes single vehicle nonfatal crashes involving the youngest teen drivers (15-17 years), compares these crashes to single vehicle nonfatal crashes among adult drivers (35-44 years) and examines factors related to nonfatal injury producing crashes for teen drivers. Police crash data linked to hospital inpatient and emergency department data for 2005-2008 from the South Carolina Crash Outcomes Data Evaluation System (CODES) were analyzed. Nonfatal, single vehicle crashes involving passenger vehicles occurring on public roadways for teen (15-17 years) drivers were compared with those for adult (35-44 years) drivers on temporal patterns and crash risk factors per licensed driver and per vehicle miles traveled. Vehicle miles traveled by age group was estimated using data from the 2009 National Household Travel Survey. Multivariable log-linear regression analysis was conducted for teen driver crashes to determine which characteristics were related to crashes resulting in a minor/moderate injury or serious injury to at least one vehicle occupant. Compared with adult drivers, teen drivers in South Carolina had 2.5 times the single vehicle nonfatal crash rate per licensed driver and 11 times the rate per vehicle mile traveled. Teen drivers were nearly twice as likely to be speeding at the time of the crash compared with adult drivers. Teen driver crashes per licensed driver were highest during the afternoon hours of 3:00-5:59 pm and crashes per mile driven were highest during the nighttime hours of 9:00-11:59 pm. In 66% of the teen driver crashes, the driver was the only occupant. Crashes were twice as likely to result in serious injury when teen passengers were present than when the teen driver was alone. When teen drivers crashed while

  16. MODELING DRIVER BEHAVIOR IN THE DRIVING OF THEIR MOTOR VEHICLE

    Directory of Open Access Journals (Sweden)

    A. V. Skrypnikov

    2015-01-01

    Full Text Available The article holds the gradual formation of images and actions of the driver. As outlined the author's arguments based on the following assumptions: We consider the motion of the mass, mass-produced currently by the domestic industry of automobiles; considered the motion of single cars as the most common and most dangerous cases, allowing to evaluate the influence of parameters on the road driving mode "pure"; drivers tend to reduce travel times and therefore move with the maximum possible speed; drivers choose speed, visually estimating lying in front of part of the way and given the speed at the time of this evaluation; driver behavior, ceteris paribus determined the influence of visibility limitations and conditions visual perception; considered the motion on the ascent and descent, but the determining factor is the direction of descent. Set of operations, branches off the driver, can be represented as a multi-level system comprising three main groups of psycho-physiological processes, activities analyzers (perception of information; the work of the central nervous system (processing and storage; effective activity (responses to the implementation of the decision. On the basis of the received information in human consciousness formed images of the environment, the totality of which is an information model of the object. Comparing it with the standards (memory engrams, the driver generates the mo st appropriate in the circumstances set of actions. Implementation of the decision is the final stage of human response to the external environment and is expressed in the change of the degree of use of traction engine or braking force; change the steering angle as that does not affect the speed of motion, the algorithm of the driver is not taken into account. Analysis of the schemes of algorithms allows to obtain quantitative characteristics of the vehicle: stereotyped figures, logical complexity.

  17. Psychological influences for the driver by the changes of running circumstance; Jidosha no soko kankyo henka no driver eno shinriteki eikyo

    Energy Technology Data Exchange (ETDEWEB)

    Okura, S; Yokomori, M; Yamaguchi, S [Meijo University, Nagoya (Japan)

    1997-10-01

    A driver is influenced psychologically by the cars proceeding on the street and the cars parked on the shoulder which come into the front view. The traffic accidents are caused when these influences put a lot of stress on a driver. In this report, we study the relations between the road traffic condition on the streets and the highway and the driver`s psychological and psysiological responses by using the driver`s front view, sweating and pulse rate. 6 refs., 8 figs.

  18. School Bus Accidents and Driver Age.

    Science.gov (United States)

    McMichael, Judith

    The study examines the rates and types of school bus accidents according to the age of the school bus driver. Accident rates in North Carolina for the school year 1971-72 were analyzed using three sources of data: accident reports, driver and mileage data, and questionnaires administered to a sample of school bus drivers. Data were obtained on…

  19. Structural analysis of the drivers and barriers to forest management in the Slovak regions of Podpoľanie and Kysuce

    Directory of Open Access Journals (Sweden)

    Navrátil Rudolf

    2016-09-01

    Full Text Available The paper presents an application of structural analysis in search of key drivers and barriers of forest management in two Slovak regions: Podpoľanie and Kysuce. A comparison with factors identified in selected European regions is also presented. First, various relevant factors affecting forest management were selected for both regions. The selections draw on the pool of primary data (structured in-person interviews and secondary data (qualitative analysis of national and European documents. Second, factors were grouped according to the STEEP categories (Society, Technology, Economy, Ecology, and Policy. Subsequently, factors were rigorously assessed by the regional stakeholders in participatory workshops, and their answers were analysed by structural analysis with the help of Parmenides EIDOS™ software. The results show that in both Slovak regions political, economic, and ecological factors dominated over social and technological factors. The comparison with selected European regions revealed that in the Slovak and other European regions, the Policy category dominated due to having the highest number of factors and their overall impact on forest management. In contrast, the least important societal domain was Technology in both the Slovak and other European regions. However, while stakeholders across the selected European regions perceived the Society domain as significant, stakeholders in both Slovak regions perceived the Economy and Ecology domains as more significant.

  20. Powered two-wheeler drivers' risk of hitting a pedestrian in towns.

    Science.gov (United States)

    Clabaux, Nicolas; Fournier, Jean-Yves; Michel, Jean-Emmanuel

    2014-12-01

    The risk of collision between pedestrians and powered two-wheelers is poorly understood today. The objective of this research is to determine the risk for powered two-wheeler drivers of hitting and injuring a pedestrian per kilometer driven in towns and to compare this risk with that run by four-wheeled vehicle drivers. Using the bodily injury accidents recorded by the police on nine roads in the city of Marseille in 2011 and a campaign of observations of powered two-wheeler traffic, we estimated the risk per kilometer driven by powered two-wheeler drivers of hitting a pedestrian and compared it with the risk run by four-wheeled vehicle drivers. The results show that the risk for powered two-wheeler drivers of hitting and injuring a pedestrian is significantly higher than the risk run by four-wheeled vehicle drivers. On the nine roads studied, it is on average 3.33 times higher (95% CI: 1.63; 6.78). Taking four more years into account made it possible to consolidate these results and to tighten the confidence interval. There does indeed seem to be problems in the interactions between pedestrians and powered two-wheeler users in urban traffic. These interaction problems lead to a higher risk of hitting and injuring a pedestrian for powered two-wheeler drivers than for four-wheeled vehicle drivers. The analysis of the police reports suggests that part of this increased risk comes from filtering maneuvers by powered two-wheelers. Possible countermeasures deal with the urban street layout. Measures consisting in reducing the width and the number of traffic lanes to a strict minimum and installing medians or pedestrian islands could be an effective way for the prevention of urban accidents between pedestrians and powered two-wheelers. Copyright © 2014 National Safety Council and Elsevier Ltd. All rights reserved.

  1. 78 FR 76757 - Regulatory Guidance on Hours of Service of Drivers Rest Break Requirement; Drivers Who Become...

    Science.gov (United States)

    2013-12-19

    ... limitations for unforeseen reasons, is the driver in violation of the Sec. 395.3 rest break provision if more... unforeseen reasons, is not in violation of the Sec. 395.3 rest-break requirements if 8 or more hours have... Regulatory Guidance on Hours of Service of Drivers Rest Break Requirement; Drivers Who Become Ineligible for...

  2. Terrestrial hydro-climatic change, lake shrinkage and water resource deterioration: Analysis of current to future drivers across Asia

    Science.gov (United States)

    Jarsjo, J.; Beygi, H.; Thorslund, J.

    2016-12-01

    Due to overlapping effects of different anthropogenic pressures and natural variability, main drivers behind on-going changes in the water cycle have in many cases not been identified, which complicates management of water resources. For instance, in many parts of the world, and not least in semi-arid and arid parts of Asia, lowered groundwater levels and shrinkage of surface water bodies with associated salinization and water quality deterioration constitute great challenges. With the aim to identify main drivers and mechanisms behind such changes, we here combine (i) historical observations of long-term, large scale change, (ii) ensemble projections of expected future change from the climate models of the Coupled Model Intercomparison Project Phase 5 (CMIP 5) and (iii) output from water balance modelling. Our particular focus is on regions near shrinking lakes. For the principal Lake Urmia in Iran, results show that agricultural intensification including irrigation expansion has clearly contributed to the surprisingly rapid water quality deterioration and lake shrinkage, from 10% lake area reduction in 2002 to the current value of about 75% (leaving billion of tons of salt exposed in its basin). Nevertheless, runoff decrease due to climate change has had an even larger effect. For the Aral Sea in Central Asia, where problems accelerated much earlier (in the 1990's), land-use change and irrigation expansion can fully explain the disastrous surface water deficits and water quality problems in the extensive low-lying parts of the basin. However, projections show that climate-driven runoff decrease in the headwaters of the Aral Sea basin may become a dominant driver of continued change in the near-future. More generally, present results illustrate that mitigation measures that compensate only for land-use driven effects may not reverse current trends of decreasing water availability, due to increasingly strong impacts of climate-driven runoff decrease. This has

  3. Prevalence and correlates of poor sleep quality and daytime sleepiness in Belgian truck drivers.

    Science.gov (United States)

    Braeckman, Lutgart; Verpraet, Rini; Van Risseghem, Marleen; Pevernagie, Dirk; De Bacquer, Dirk

    2011-03-01

    Sleepiness and sleep complaints are common among professional drivers. Sleepiness is a considerable problem not only because it affects the drivers' well-being, but also because of the consequences for performance and safety. Assessment of the (self-reported) prevalence and research into the risk factors are thus an important health issue and are also indispensable to prevent productivity loss and work-related accidents and injuries. Therefore, the aim of this study was to describe sleeping, driving, and health characteristics of Belgian truck drivers and to determine occupational and individual factors associated with poor sleep quality and daytime sleepiness. Cross-sectional data were collected using a self-administered questionnaire that included the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Berlin Questionnaire (BQ). The mean (SD) age of the 476 studied truck drivers was 42.7 (10.2) yrs and the mean (SD) body mass index was 27.3 (5.1) kg/m(2). Approximately 47% declared that they drove >50 h/wk and found their work schedule unrealistic. The mean (SD) PSQI score was 4.45 (2.7); poor quality of sleep (PSQI >5) was found in 27.2%. The mean (SD) ESS score was 6.79 (4.17); 18% had a score >10. The BQ indicated that 21.5% had a higher risk on obstructive sleep apnea. In multiple logistic regression analysis, low educational level (odds ratio [OR] 1.86), current smoking (OR 1.75), unrealistic work schedule (OR 1.75), and risk for obstructive sleep apnea (OR 2.97) were found to be independent correlates of daytime sleepiness. Poor sleep quality was significantly associated with poor self-perceived health (OR 1.95), unrealistic work schedule (OR 2.85), low job satisfaction (OR 1.91), and less driving experience (OR 1.73). These results show that poor sleep quality and daytime sleepiness were prevalent in Belgian truck drivers. Taking into account that several significant correlates with respect to these sleep problems were identified

  4. Automation warning system against driver falling asleep in-traffic

    Directory of Open Access Journals (Sweden)

    Dymov I. S.

    2017-12-01

    Full Text Available The paper is devoted to the development of a new automation recognition and warning system against driver falling asleep in-traffic. The issue of the physical condition control of professional drivers on the voyage has been considered both on the part of efficiency and quality of its determination, and in terms of improving overall road safety. The existing and widely used devices for determining the transition to the stage of sleep of drivers being in-traffic have been analyzed. Their advantages and disadvantages have been detected. It has been established that the main negative factor preventing the mass introduction of pre-existing warning systems is the need to wear one or another monitoring device before starting the movement. Carried out project research work has proposed a complex monitoring of the physical and physiological condition of driving person as a new warning method against falling asleep in-traffic. The proposed variations of algorithmic implementations can be used in long-distance trucks and passenger vehicles. Two different versions of the automatic control status of the driver physical condition have been considered. The first approach has proposed the use of sensors of the biometric parameters of body, pulsus, body temperature, and hands on wheel pressure sensors. The second one has proposed using the tracking cameras. Both for the first and second versions of the automation system a toolset of control devices is being installed inside the vehicle and have no physical, so irritating action on the driver. Software approach for the false operation rejection of the devices has been developed. The paper considers the flow diagrams of the automatic systems and logical structure of analysis and decision-making. The set of impacts intended for driver's awakening has been proposed. The conclusion about the engineering perspectives of the proposed approach of projected automation systems has been made.

  5. ISG hybrid powertrain: a rule-based driver model incorporating look-ahead information

    Science.gov (United States)

    Shen, Shuiwen; Zhang, Junzhi; Chen, Xiaojiang; Zhong, Qing-Chang; Thornton, Roger

    2010-03-01

    According to European regulations, if the amount of regenerative braking is determined by the travel of the brake pedal, more stringent standards must be applied, otherwise it may adversely affect the existing vehicle safety system. The use of engine or vehicle speed to derive regenerative braking is one way to avoid strict design standards, but this introduces discontinuity in powertrain torque when the driver releases the acceleration pedal or applies the brake pedal. This is shown to cause oscillations in the pedal input and powertrain torque when a conventional driver model is adopted. Look-ahead information, together with other predicted vehicle states, are adopted to control the vehicle speed, in particular, during deceleration, and to improve the driver model so that oscillations can be avoided. The improved driver model makes analysis and validation of the control strategy for an integrated starter generator (ISG) hybrid powertrain possible.

  6. Holography: Use in Training and Testing Drivers on the Road in Accident Avoidance.

    Science.gov (United States)

    Frey, Allan H.; Frey, Donnalyn

    1979-01-01

    Defines holography, identifies visual factors in driving and the techniques used in on-road visual presentations, and presents the design and testing of a holographic system for driver training. (RAO)

  7. Associating Crash Avoidance Maneuvers with Driver Attributes and Accident Characteristics: A Mixed Logit Model Approach

    DEFF Research Database (Denmark)

    Kaplan, Sigal; Prato, Carlo Giacomo

    2012-01-01

    as from the key role of the ability of drivers to perform effective corrective maneuvers for the success of automated in-vehicle warning and driver assistance systems. The analysis is conducted by means of a mixed logit model that accommodates correlations across alternatives and heteroscedasticity. Data...

  8. Microarray analysis and scale-free gene networks identify candidate regulators in drought-stressed roots of loblolly pine (P. taeda L.

    Directory of Open Access Journals (Sweden)

    Bordeaux John M

    2011-05-01

    roots. Many of the genes identified are known to be up-regulated in response to osmotic stress in pine and other plant species and encode proteins involved in both signal transduction and stress tolerance. Gene expression levels returned to control values within a 48-hour recovery period in all but 76 transcripts. Correlation network analysis indicates a scale-free network topology for the pine root transcriptome and identifies central nodes that may serve as drivers of drought-responsive transcriptome dynamics in the roots of loblolly pine.

  9. Microarray analysis and scale-free gene networks identify candidate regulators in drought-stressed roots of loblolly pine (P. taeda L.)

    Science.gov (United States)

    2011-01-01

    genes identified are known to be up-regulated in response to osmotic stress in pine and other plant species and encode proteins involved in both signal transduction and stress tolerance. Gene expression levels returned to control values within a 48-hour recovery period in all but 76 transcripts. Correlation network analysis indicates a scale-free network topology for the pine root transcriptome and identifies central nodes that may serve as drivers of drought-responsive transcriptome dynamics in the roots of loblolly pine. PMID:21609476

  10. Long-term changes in CO(2) emissions in Austria and Czechoslovakia-Identifying the drivers of environmental pressures.

    Science.gov (United States)

    Gingrich, Simone; Kušková, Petra; Steinberger, Julia K

    2011-02-01

    This study presents fossil-fuel related CO(2) emissions in Austria and Czechoslovakia (current Czech Republic and Slovakia) for 1830-2000. The drivers of CO(2) emissions are discussed by investigating the variables of the standard Kaya identity for 1920-2000 and conducting a comparative Index Decomposition Analysis. Proxy data on industrial production and household consumption are analysed to understand the role of the economic structure. CO(2) emissions increased in both countries in the long run. Czechoslovakia was a stronger emitter of CO(2) throughout the time period, but per-capita emissions significantly differed only after World War I, when Czechoslovakia and Austria became independent. The difference in CO(2) emissions increased until the mid-1980s (the period of communism in Czechoslovakia), explained by the energy intensity and the composition effects, and higher industrial production in Czechoslovakia. Counterbalancing factors were the income effect and household consumption. After the Velvet revolution in 1990, Czechoslovak CO(2) emissions decreased, and the energy composition effect (and industrial production) lost importance. Despite their different political and economic development, Austria and Czechoslovakia reached similar levels of per-capita CO(2) emissions in the late 20th century. Neither Austrian "eco-efficiency" nor Czechoslovak restructuring have been effective in reducing CO(2) emissions to a sustainable level.

  11. Driver's various information process and multi-ruled decision-making mechanism: a fundamental of intelligent driving shaping model

    Directory of Open Access Journals (Sweden)

    Wuhong Wang

    2011-05-01

    Full Text Available The most difficult but important problem in advance driver assistance system development is how to measure and model the behavioral response of drivers with focusing on the cognition process. This paper describes driver's deceleration and acceleration behavior based on driving situation awareness in the car-following process, and then presents several driving models for analysis of driver's safety approaching behavior in traffic operation. The emphasis of our work is placed on the research of driver's various information process and multi-ruled decisionmaking mechanism by considering the complicated control process of driving; the results will be able to provide a theoretical basis for intelligent driving shaping model.

  12. Research on driver fatigue detection

    Science.gov (United States)

    Zhang, Ting; Chen, Zhong; Ouyang, Chao

    2018-03-01

    Driver fatigue is one of the main causes of frequent traffic accidents. In this case, driver fatigue detection system has very important significance in avoiding traffic accidents. This paper presents a real-time method based on fusion of multiple facial features, including eye closure, yawn and head movement. The eye state is classified as being open or closed by a linear SVM classifier trained using HOG features of the detected eye. The mouth state is determined according to the width-height ratio of the mouth. The head movement is detected by head pitch angle calculated by facial landmark. The driver's fatigue state can be reasoned by the model trained by above features. According to experimental results, drive fatigue detection obtains an excellent performance. It indicates that the developed method is valuable for the application of avoiding traffic accidents caused by driver's fatigue.

  13. Definition of simulated driving tests for the evaluation of drivers' reactions and responses.

    Science.gov (United States)

    Bartolozzi, Riccardo; Frendo, Francesco

    2014-01-01

    This article aims at identifying the most significant measures in 2 perception-response (PR) tests performed at a driving simulator: a braking test and a lateral skid test, which were developed in this work. Forty-eight subjects (26 females and 22 males) with a mean age of 24.9 ± 3.0 years were enrolled for this study. They were asked to perform a drive on the driving simulator at the University of Pisa (Italy) following a specific test protocol, including 8-10 braking tests and 8-10 lateral skid tests. Driver input signals and vehicle model signals were recorded during the drives and analyzed to extract measures such as the reaction time, first response time, etc. Following a statistical procedure (based on analysis of variance [ANOVA] and post hoc tests), all test measures (3 for the braking test and 8 for the lateral skid test) were analyzed in terms of statistically significant differences among different drivers. The presented procedure allows evaluation of the capability of a given test to distinguish among different drivers. In the braking test, the reaction time showed a high dispersion among single drivers, leading to just 4.8 percent of statistically significant driver pairs (using the Games-Howell post hoc test), whereas the pedal transition time scored 31.9 percent. In the lateral skid test, 28.5 percent of the 2 × 2 comparisons showed significantly different reaction times, 19.5 percent had different response times, 35.2 percent had a different second peak of the steering wheel signal, and 33 percent showed different values of the integral of the steering wheel signal. For the braking test, which has been widely employed in similar forms in the literature, it was shown how the reaction time, with respect to the pedal transition time, can have a higher dispersion due to the influence of external factors. For the lateral skid test, the following measures were identified as the most significant for application studies: the reaction time for the reaction

  14. A Simple Wave Driver

    Science.gov (United States)

    Temiz, Burak Kagan; Yavuz, Ahmet

    2015-01-01

    This study was done to develop a simple and inexpensive wave driver that can be used in experiments on string waves. The wave driver was made using a battery-operated toy car, and the apparatus can be used to produce string waves at a fixed frequency. The working principle of the apparatus is as follows: shortly after the car is turned on, the…

  15. Global Changes and Drivers of the Water Footprint of Food Consumption: A Historical Analysis

    Directory of Open Access Journals (Sweden)

    Chen Yang

    2014-05-01

    Full Text Available Water is one of the most important limiting resources for food production. How much water is needed for food depends on the size of the population, average food consumption patterns and food production per unit of water. These factors show large differences around the world. This paper analyzes sub-continental dynamics of the water footprint of consumption (WFcons for the prevailing diets from 1961 to 2009 using data from the Food and Agriculture Organization (FAO. The findings show that, in most regions, the water needed to feed one person decreased even if diets became richer, because of the increase in water use efficiency in food production during the past half-century. The logarithmic mean Divisia index (LMDI decomposition approach is used to analyze the contributions of the major drivers of WFcons for food: population, diet and agricultural practices (output per unit of water. We compare the contributions of these drivers through different subcontinents, and find that population growth still was the major driver behind increasing WFcons for food until now and that potential water savings through agricultural practice improvements were offset by population growth and diet change. The changes of the factors mentioned above were the largest in most developing areas with rapid economic development. With the development of globalization, the international food trade has brought more and more water savings in global water use over time. The results indicate that, in the near future and in many regions, diet change is likely to override population growth as the major driver behind WFcons for food.

  16. Do young novice drivers overestimate their driving skills more than experienced drivers? : different methods lead to different conclusions.

    NARCIS (Netherlands)

    Craen, S. de Twisk, D.A.M. Hagenzieker, M.P. Elffers, H. & Brookhuis, K.A.

    2011-01-01

    In this study the authors argue that drivers have to make an assessment of their own driving skills, in order to sufficiently adapt to their task demands in traffic. There are indications that drivers in general, but novice drivers in particular, overestimate their driving skills. However, study

  17. Barriers and drivers towards the incorporation of crop residue in the soil. Analysis of Italian farmers’ opinion with the theory of planned behaviour

    Directory of Open Access Journals (Sweden)

    Luca Bechini

    2015-12-01

    Full Text Available Despite the benefits arising from incorporating crop residue in the soil, some farmers decide to burn or sell it. The objective of the work described in this paper was to quantify the adoption of crop residue incorporation by Italian farmers, and to identify the barriers and drivers that they perceive towards this agricultural management practice. We applied a behavioural approach, based on the theory of planned behaviour. In agriculture, this theory can be used to study individual farmer beliefs to understand the intention to adopt agricultural management practices. Based on preliminary semi-structured interviews with 24 farmers, we have prepared and disseminated a structured questionnaire in dairy farms in the plain of northern Italy, in arable farms in the plain of northern, central, and southern Italy, and in arable farms in the hill of central and southern Italy. The questionnaire contained questions to reveal subjective beliefs of the farmers on the outcomes of incorporating crop residue, and on the referents and control factors that might influence adoption. We have received 315 filled questionnaires from 16 regions and 54 provinces. The survey has identified major drivers and barriers towards the incorporation of crop residue in the soil. The main drivers were the expected improvement of soil quality (higher soil organic matter, improved structure and fertility, the expected increase of grain protein concentration in the following wheat crop, the availability of adequate machinery, the prohibition of burning crop residue, and the knowledge that incorporation is important (which emphasizes the importance of an effective advisory service. The main barriers were the costs of incorporation, the need to increase the use of nitrogen fertiliser when straw is incorporated, and the problems to sow the following crop in the presence of residue. While on the basis of the preliminary interviews we expected that the possibility to sell the straw and

  18. Review of drivers and barriers for nuclear power in the UK

    International Nuclear Information System (INIS)

    Greenhalgh, Christine; Azapagic, Adisa

    2009-01-01

    There has been resurgence in interest in new nuclear power stations over the last couple of years. The UK Government has taken steps to encourage the private sector to build new stations in the UK, a change in its previous neutral stance toward nuclear power. This paper examines the change in government policy asking what drivers have led to this decision and what barriers were preventing new nuclear power in the past and what barriers are still faced by both government and industry. Three main drivers are discussed: security of energy supply; diminishing energy generation capacity; and climate change. The paper also examines other key factors that play a part in facilitating a shift in government policy, namely economics, public perception and waste management policy. Barriers are identified through examination of public perception, and policy. The changes to the planning system are also discussed. The paper concludes by comparing drivers and barriers for other technologies and contrasting the UK experience with that of other countries.

  19. Older Driver Safety: A Survey of Psychologists' Attitudes, Knowledge, and Practices.

    Science.gov (United States)

    Love, Janet; Tuokko, Holly

    2016-09-01

    Using an online survey, we examined the knowledge, attitudes, and practices with respect to older driver safety concerns of clinical psychologists from across Canada who self-identified as working with at least some drivers over 60 years of age. Eighty-four psychologists completed the survey, and many were aware of the issues relevant to older driver safety, although only about half reported that assessing fitness to drive was an important issue in their practice. The majority (75%) reported that they would benefit from education concerning evaluation of fitness to drive. The primary recommendation emerging from this investigation is to increase efforts to inform and educate psychologists about driving-related assessment and regulatory issues in general, and specifically with respect to older adults. As the population ages, it is of growing importance for all health care providers to understand the influence of mental health conditions-including cognitive impairment and dementia-on driving skills.

  20. Identifying the Macro-Level Drivers of Adolescent Fertility Rate in Latin America: The Role of School-Based Sexuality Education

    Science.gov (United States)

    Avellaneda, Claudia N.; Dávalos, Eleonora

    2017-01-01

    This study seeks to explain macrolevel drivers of adolescent fertility rate using a panel data set derived from 17 Latin American countries over a period of 16 years (1997-2012). While many studies of adolescent fertility have focused on individual-level explanations, this study explores whether adolescent fertility rate is correlated to…

  1. Schoolbus driver performance can be improved with driver training, safety incentivisation, and vehicle roadworthy modifications

    Directory of Open Access Journals (Sweden)

    A van Niekerk

    2017-03-01

    Full Text Available In South Africa (SA, the school transport industry provides millions of children with a means of travelling to and from school. The industry has, however, been reported to be plagued by widespread safety concerns. The consequent road traffic incidents have often been attributed to driver factors, including driving in excess of legal speeds or at inappropriate speeds; driving while under the influence of alcohol, while sleepy or fatigued; or driving without using protective equipment for vehicle occupants. There are currently very few SA interventions that specifically target this important industry role-player. The Safe Travel to School Programme was recently implemented by a national child safety agency, with a focus on driver road safety awareness, defensive driver training, eye- testing, vehicle roadworthy inspections with selected upgrades, incentives for safe performance, and implementation of a vehicle telematics tracking system with regular, individual driving behaviour information updates. This quasi-experimental study offers an evaluation of the initial impact on safety performance of this telematics-based driver and vehicle safety intervention in terms of speeding, acceleration, braking, cornering, and time-of-day driving, and compares the school transport driver performance with that of general motorists. Despite concerns that some school transport vehicles are used for multiple purposes outside of school transport duties, at night, and for longer distances, overall these vehicles recorded lower percentages of speeding, lower harsh braking, and lower average harsh cornering and acceleration than general drivers.

  2. EMERGENCE OF "DRIVERS" FOR THE IMPLEMENTATION OF HEALTH TECHNOLOGY ASSESSMENT.

    Science.gov (United States)

    Castro Jaramillo, Hector Eduardo; Moreno-Mattar, Ornella; Osorio-Cuevas, Diana

    2016-01-01

    Health technology assessment (HTA) examines the consequences of the application of health technologies and is aimed at better informing decision-makers. Over the past 30 years, different countries have implemented HTA organizations. Colombia established by law its own HTA agency (IETS) in 2011 which started operations in November 2012. The aim of this study was to assess the feasibility of conducting and using HTA to inform decision-making in this context. Through a qualitative approach, ten "drivers" emerged with the ability to help or hinder HTA development in this context: availability and quality of data, implementation strategy, cultural aspects, local capacity, financial support, policy/political support, globalization, stakeholder pressure, health system context, and usefulness perception. Semi-structured interviews were conducted with key HTA researchers, after following rigorous transcription, and thematic content analysis, those aspects that may be barriers or facilitator for HTA development and use in Colombia were identified. Although HTA has become a tool to inform decision-making around the world, its use may vary according to setting. Determining those aspects which may enable or interfere with HTA development and use in Colombia may be useful for other countries when considering the establishment of HTA systems. The conceptual transferability of concepts like "drivers" with caveats may be of interest for similar settings trying to incorporate HTA processes and institutions into systematic decision-making.

  3. Medical review practices for driver licensing : Volume 1 : a case study of guidelines and processes in seven U.S. States.

    Science.gov (United States)

    2016-10-01

    This report is the first of three examining driver medical review practices in the United States and how they fulfilled the basic functions of identifying, assessing, and rendering licensing decisions on medically at-risk drivers. The aim was not to ...

  4. 20 CFR 404.1008 - Agent-driver or commission-driver, full-time life insurance salesman, home worker, or traveling...

    Science.gov (United States)

    2010-04-01

    ... commission-driver, full-time life insurance salesman, home worker, or traveling or city salesman. (a) General... 20 Employees' Benefits 2 2010-04-01 2010-04-01 false Agent-driver or commission-driver, full-time life insurance salesman, home worker, or traveling or city salesman. 404.1008 Section 404.1008...

  5. among Taxi Drivers in Addis Ababa, Ethiopia

    African Journals Online (AJOL)

    user

    Long years of driving [AOR =4.6 (95%CI, 1.6-12.9)], involvement in a similar activity prior to becoming taxi driver .... full time taxi driver; produce a valid driving license; .... Self-employee .... professional car drivers in Dhaka city, Bangladesh.

  6. A holistic perspective on corporate sustainability drivers

    NARCIS (Netherlands)

    Lozano, R.

    2013-01-01

    Since company boards are increasingly discussing 'sustainability', it becomes necessary to examine the nature of sustainability drivers. Most approaches to corporate sustainability drivers have focused either on internal or external drivers. This paper is aimed at providing a more holistic

  7. A holistic perspective on corporate sustainability drivers

    NARCIS (Netherlands)

    Lozano, Rodrigo|info:eu-repo/dai/nl/36412380X

    2015-01-01

    Since company boards are increasingly discussing 'sustainability', it becomes necessary to examine the nature of sustainability drivers. Most approaches to corporate sustainability drivers have focused either on internal or external drivers. This paper is aimed at providing a more holistic

  8. The influence of highly automated driving on the self-perception of drivers in the context of Conduct-by-Wire.

    Science.gov (United States)

    Kauer, Michaela; Franz, Benjamin; Maier, Alexander; Bruder, Ralph

    2015-01-01

    Today, new driving paradigms are being introduced that aim to reduce the number of standalone driver assistance systems by combining these into one overarching system. This is done to reduce the demands on drivers but often leads to a higher degree of automation. Feasibility and driver behaviour are often the subject of studies, but this is contrasted by a lack of research into the influence of highly automated driving on the self-perception of drivers. This article begins to close this gap by investigating the influences of one highly automated driving concept--Conduct-by-Wire--on the self-perception of drivers via a combined driving simulator and interview study. The aim of this work is to identify changes in the role concept of drivers indicated by highly automated driving, to evaluate these changes from the drivers' point of view and to give suggestions of possible improvements to the design of highly automated vehicles.

  9. m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks

    OpenAIRE

    Zhang, Song-Yao; Zhang, Shao-Wu; Liu, Lian; Meng, Jia; Huang, Yufei

    2016-01-01

    As the most prevalent mammalian mRNA epigenetic modification, N6-methyladenosine (m6A) has been shown to possess important post-transcriptional regulatory functions. However, the regulatory mechanisms and functional circuits of m6A are still largely elusive. To help unveil the regulatory circuitry mediated by mRNA m6A methylation, we develop here m6A-Driver, an algorithm for predicting m6A-driven genes and associated networks, whose functional interactions are likely to be actively modulated ...

  10. A Model for Traffic Accidents Prediction Based on Driver Personality Traits Assessment

    Directory of Open Access Journals (Sweden)

    Marjana Čubranić-Dobrodolac

    2017-12-01

    Full Text Available The model proposed in this paper uses four psychological instruments for assessing driver behaviour and personality traits aiming to find a relationship between the considered constructs and the occurrence of traffic accidents. A Barratt Impulsiveness Scale (BIS-11 was used for the assessment of impulsivity, Aggressive Driving Behaviour Questionnaire (ADBQ for assessing the aggressiveness while driving, Manchester Driver Attitude Questionnaire (DAQ and the Questionnaire for self-assessment of driving ability. Besides these instruments, the participants filled out an extensive demographic survey. Within the statistical analysis, in addition to the descriptive indicators, correlation coefficients were calculated and four hierarchical regression analyses were performed to determine the predictive power of personality traits on the occurrence of traffic accidents. Further, to confirm the results and to obtain additional information about the relationship between the considered variables, the structural equation modelling and binary logistic regression have been implemented. A sample of this research covered 305 drivers, of which there were 100 bus drivers and 102 truck drivers, as well as 103 drivers of privately owned vehicles. The results indicate that BIS-11 and ADBQ questionnaires show the best predictive power which means that impulsivity and aggressiveness as personality traits have the greatest influence on the occurrence of traffic accidents. This research could be useful in many fields, such as the design of selection procedures for professional drivers, development of programs for the prevention of traffic accidents and violations of law, rehabilitation of drivers who have been deprived of the driving license, etc.

  11. 77 FR 75494 - Qualification of Drivers; Exemption Applications; Vision

    Science.gov (United States)

    2012-12-20

    ... Multiple Regression Analysis of a Poisson Process,'' Journal of American Statistical Association, June 1971... 14 applicants' case histories. The 14 individuals applied for exemptions from the vision requirement... apply the principle to monocular drivers, because data from the Federal Highway Administration's (FHWA...

  12. Quantifying the drivers of ocean-atmosphere CO2 fluxes

    Science.gov (United States)

    Lauderdale, Jonathan M.; Dutkiewicz, Stephanie; Williams, Richard G.; Follows, Michael J.

    2016-07-01

    A mechanistic framework for quantitatively mapping the regional drivers of air-sea CO2 fluxes at a global scale is developed. The framework evaluates the interplay between (1) surface heat and freshwater fluxes that influence the potential saturated carbon concentration, which depends on changes in sea surface temperature, salinity and alkalinity, (2) a residual, disequilibrium flux influenced by upwelling and entrainment of remineralized carbon- and nutrient-rich waters from the ocean interior, as well as rapid subduction of surface waters, (3) carbon uptake and export by biological activity as both soft tissue and carbonate, and (4) the effect on surface carbon concentrations due to freshwater precipitation or evaporation. In a steady state simulation of a coarse-resolution ocean circulation and biogeochemistry model, the sum of the individually determined components is close to the known total flux of the simulation. The leading order balance, identified in different dynamical regimes, is between the CO2 fluxes driven by surface heat fluxes and a combination of biologically driven carbon uptake and disequilibrium-driven carbon outgassing. The framework is still able to reconstruct simulated fluxes when evaluated using monthly averaged data and takes a form that can be applied consistently in models of different complexity and observations of the ocean. In this way, the framework may reveal differences in the balance of drivers acting across an ensemble of climate model simulations or be applied to an analysis and interpretation of the observed, real-world air-sea flux of CO2.

  13. Validation of the Driver Stress Inventory in China: Relationship with dangerous driving behaviors.

    Science.gov (United States)

    Qu, Weina; Zhang, Qian; Zhao, Wenguo; Zhang, Kan; Ge, Yan

    2016-02-01

    Perceived stress while driving may affect how critical driving events are handled. The current study validates a Chinese version of the Driver Stress Inventory (DSI) and explores its correlation with dangerous driving behaviors and gender. A sample of 246 drivers completed the Chinese version of the DSI and the Driver Behavior Questionnaire (DBQ). We also evaluated specific sociodemographic variables and traffic violations (including speeding, violating traffic signs or markings, driving while intoxicated, running a red light, and incurring penalty points). A confirmatory factor analysis (CFA) verified the DSI's internal structure. The DSI was also validated using questionnaires related to the DBQ, self-reported traffic accidents and violations, and sociodemographic characteristics. First, all of the DSI dimensions were moderately or weakly correlated with the DBQ subscales. Second, aggression, hazard monitoring and fatigue were weakly correlated with minor accidents. Third, drivers who had sped and violated traffic signs during the previous three years reported higher aggression and thrill seeking, while drivers who had violated traffic signs or markings during the previous three years reported decreased hazard monitoring compared with non-offenders. Finally, there were significant gender differences in driver stress. The Chinese version of the DSI will be useful for classifying and diagnosing drivers who may be at an increased risk for stress reactions. Copyright © 2015 Elsevier Ltd. All rights reserved.

  14. A Practical Methodology for Disaggregating the Drivers of Drug Costs Using Administrative Data.

    Science.gov (United States)

    Lungu, Elena R; Manti, Orlando J; Levine, Mitchell A H; Clark, Douglas A; Potashnik, Tanya M; McKinley, Carol I

    2017-09-01

    Prescription drug expenditures represent a significant component of health care costs in Canada, with estimates of $28.8 billion spent in 2014. Identifying the major cost drivers and the effect they have on prescription drug expenditures allows policy makers and researchers to interpret current cost pressures and anticipate future expenditure levels. To identify the major drivers of prescription drug costs and to develop a methodology to disaggregate the impact of each of the individual drivers. The methodology proposed in this study uses the Laspeyres approach for cost decomposition. This approach isolates the effect of the change in a specific factor (e.g., price) by holding the other factor(s) (e.g., quantity) constant at the base-period value. The Laspeyres approach is expanded to a multi-factorial framework to isolate and quantify several factors that drive prescription drug cost. Three broad categories of effects are considered: volume, price and drug-mix effects. For each category, important sub-effects are quantified. This study presents a new and comprehensive methodology for decomposing the change in prescription drug costs over time including step-by-step demonstrations of how the formulas were derived. This methodology has practical applications for health policy decision makers and can aid researchers in conducting cost driver analyses. The methodology can be adjusted depending on the purpose and analytical depth of the research and data availability. © 2017 Journal of Population Therapeutics and Clinical Pharmacology. All rights reserved.

  15. Cognitive functioning differentially predicts different dimensions of older drivers' on-road safety.

    Science.gov (United States)

    Aksan, Nazan; Anderson, Steve W; Dawson, Jeffrey; Uc, Ergun; Rizzo, Matthew

    2015-02-01

    The extent to which deficits in specific cognitive domains contribute to older drivers' safety risk in complex real-world driving tasks is not well understood. We selected 148 drivers older than 70 years of age both with and without neurodegenerative diseases (Alzheimer disease-AD and Parkinson disease-PD) from an existing driving database of older adults. Participant assessments included on-road driving safety and cognitive functioning in visuospatial construction, speed of processing, memory, and executive functioning. The standardized on-road drive test was designed to examine multiple facets of older driver safety including navigation performance (e.g., following a route, identifying landmarks), safety errors while concurrently performing secondary navigation tasks ("on-task" safety errors), and safety errors in the absence of any secondary navigation tasks ("baseline" safety errors). The inter-correlations of these outcome measures were fair to moderate supporting their distinctiveness. Participants with diseases performed worse than the healthy aging group on all driving measures and differences between those with AD and PD were minimal. In multivariate analyses, different domains of cognitive functioning predicted distinct facets of driver safety on road. Memory and set-shifting predicted performance in navigation-related secondary tasks, speed of processing predicted on-task safety errors, and visuospatial construction predicted baseline safety errors. These findings support broad assessments of cognitive functioning to inform decisions regarding older driver safety on the road and suggest navigation performance may be useful in evaluating older driver fitness and restrictions in licensing. Copyright © 2014 Elsevier Ltd. All rights reserved.

  16. Mathematical Calculation Procedures and Drivers in Action in the Learning Environment

    Directory of Open Access Journals (Sweden)

    Cesare Fregola

    2010-07-01

    Full Text Available The paper reports on the qualitative results of the experimental phase of a study to examine the links between children’s learning experiences associated with two digit division and the transactional analysis concept of drivers. The author presents results obtained from a process that used a questionnaire developed during a prior heuristic phase of research, combined with undergraduate student observations of the children, drawings produced by the children, and teacher observations on permission transactions used. Examples are provided for each of the five drivers.

  17. OLDER DRIVERS AND ADAS

    Directory of Open Access Journals (Sweden)

    Ragnhild J. DAVIDSE

    2006-01-01

    Next, based on the available literature, relevant ADAS are discussed in terms of their availability, their effects on safety and the willingness of older drivers to use and buy them. One of the conclusions is that only very few of the types of support that are thought to be most beneficial to the safety of older drivers are provided by the ADAS that are currently available.

  18. Environmental drivers of temporal succession in recent dinoflagellate cyst assemblages from a coastal site in the North-East Atlantic (Lisbon Bay, Portugal)

    DEFF Research Database (Denmark)

    Ribeiro, Sofia; Amorim, Ana

    2008-01-01

    allowed the identification of water stability as the main environmental gradient influencing the community composition, with river runoff in the preceding rain season and upwelling being the two drivers of stratification and turbulence, respectively. Both these processes can be described as nutrient......Temporal changes in the community structure of recent dinoflagellate cyst assemblages of Lisbon Bay (Iberian upwelling system) were investigated between 2000 and 2005. The assemblages were diverse and characterized by high inter-annual variability, rather than a clear seasonal pattern. In order...... to identify the main environmental drivers of community changes, several regional (river runoff, rainfall, upwelling, radiation, daylength) and in situ (sea surface temperature, salinity, bottom and surface chlorophyll a concentration) environmental parameters were tested. Multivariate statistical analysis...

  19. Employment of People with Disabilities in Malaysia: Drivers and Inhibitors

    Science.gov (United States)

    Lee, Melissa Ng; Abdullah, Yen; Mey, See Ching

    2011-01-01

    This study attempts to identify the drivers and inhibitors of employment for people with disabilities in Malaysia. It explores the skills and psychological traits needed by people with disabilities in order to get jobs and the barriers to their employment. Data include interviews detailing the viewpoints of 24 teachers with visual impairments.…

  20. Epidemiology of dyslipidaemia in professional drivers: results of RACER-ABPM (Risk of Adverse Cardiovascular Events among professional dRivers in Poland - Ambulatory Blood Pressure Monitoring) study.

    Science.gov (United States)

    Krzowski, Bartosz; Płatek, Anna E; Szymański, Filip M; Ryś, Anna; Semczuk-Kaczmarek, Karolina; Adamkiewicz, Karolina; Kotkowski, Marcin; Filipiak, Krzysztof J

    2018-01-01

    Professional drivers are a group exposed to many cardiovascular risk factors. Non-systematic working hours, prolonged stress, low physical activity, along with irregular, and in most cases, unhealthy meals are common aspects of the normal working schedule of most of the professional drivers. These translate into high risk of cardiovascular disease (CVD). The aim of the current analysis was to establish the prevalence of dyslipidaemia in a group of continuous professional drivers. The RACER (Risk of Adverse Cardiovascular Events among professional dRivers in Poland - Ambulatory Blood Pressure Monitoring) study is a prospective study focused on assessing cardiovascular risk factors in professional drivers. Patients included in the study were screened for classical and non-classical cardiovascular risk factors and had an ambulatory blood pressure monitoring (ABPM) performed. Out of the whole RACER study population, 144 drivers were included into the RACER-ABPM study. Out of this group 135 (95.7%) were male, and the mean age was 50.2 ± 9.3 years, and mean body mass index was 32.3 ± 3.0 kg/m². A family history of CVD was noted in 21.3% of patients, 28.1% were current smokers, and 2.9% had diabetes mellitus. Out of those patients, 72.2% had low-density lipoprotein cholesterol (LDL-C) level > 115 mg/dL, 85.5% had LDL-C > 100 mg/dL, and 96.7% had LDL-C > 70 mg/dL. High-density lipoprotein cholesterol 150 mg/dL were found in 28.9% of cases. In conclusion, dyslipidaemia is highly prevalent in professional drivers. Obesity is one of the major contributors to the cardiovascular risk, and dyslipidaemia along with other risk factors highly prevalent in this subgroup accounts for poorer prognosis.

  1. An empirical assessment of driver motivation and emotional states in perceived safety margins under varied driving conditions.

    Science.gov (United States)

    Zhang, Yu; Kaber, David B

    2013-01-01

    Motivation models in driving behaviour postulate that driver motives and emotional states dictate risk tolerance under various traffic conditions. The present study used time and driver performance-based payment systems to manipulate motivation and risk-taking behaviour. Ten participants drove to a predefined location in a simulated driving environment. Traffic patterns (density and velocity) were manipulated to cause driver behaviour adjustments due to the need to conform with the social norms of the roadway. The driving environment complexity was investigated as a mediating factor in risk tolerance. Results revealed the performance-based payment system to closely relate to risk-taking behaviour as compared with the time-based payment system. Drivers conformed with social norms associated with specific traffic patterns. Higher roadway complexity led to a more conservative safety margins and speeds. This research contributes to the further development of motivational models of driver behaviour. This study provides empirical justification for two motivation factors in driver risk-taking decisions, including compliance with social norm and emotions triggered by incentives. Environment complexity was identified as a mediating factor in motivational behaviour model. This study also recommended safety margin measures sensitive to changes in driver risk tolerance.

  2. Underlying substance abuse problems in drunk drivers.

    Science.gov (United States)

    Snenghi, Rossella; Forza, Giovanni; Favretto, Donata; Sartore, Daniela; Rodinis, Silvia; Terranova, Claudio; Nalesso, Alessandro; Montisci, Massimo; Ferrara, Santo Davide

    2015-01-01

    The aim of this study was to investigate polydrug use in drunk drivers. The experimental study was conducted on 2,072 drunk drivers undergoing a driving license reissue protocol at the Department of Legal Medicine of Padova University Hospital in the period between January 2011 and December 2012. The study protocol involved anamnesis, clinical examination, toxicological history, and toxicological analyses on multiple biological samples. One thousand eight hundred seventy-seven subjects (90.6%) were assessed as fit to drive, and 195 (9.5%) were declared unfit. Among those unfit, 32 subjects (1.6%) were declared unfit due to recent use of an illicit drug (time span drive after completeness of the protocol was established in 1.2% of cases for alcohol disorders and in 5.7% of cases for illicit drug abuse; only one subject was included in both subgroups. Cocaine was the most widely used substance, followed by cannabis, opiates, and psychotropic pharmaceutical drugs. The application of the protocol presented in this study allowed the identification of underlying polydrug use in drunk drivers. The study led to the identification of 6.8% unfit subjects on the basis of alcohol disorders and/or drug abuse, compared to 1.2% of identifiable unfitness if the protocol were limited to the mere assessment of alcohol consumption. The frequent association of alcohol and cocaine is different from other patterns of use in North Europe countries.

  3. Drivers' communicative interactions: on-road observations and modelling for integration in future automation systems.

    Science.gov (United States)

    Portouli, Evangelia; Nathanael, Dimitris; Marmaras, Nicolas

    2014-01-01

    Social interactions with other road users are an essential component of the driving activity and may prove critical in view of future automation systems; still up to now they have received only limited attention in the scientific literature. In this paper, it is argued that drivers base their anticipations about the traffic scene to a large extent on observations of social behaviour of other 'animate human-vehicles'. It is further argued that in cases of uncertainty, drivers seek to establish a mutual situational awareness through deliberate communicative interactions. A linguistic model is proposed for modelling these communicative interactions. Empirical evidence from on-road observations and analysis of concurrent running commentary by 25 experienced drivers support the proposed model. It is suggested that the integration of a social interactions layer based on illocutionary acts in future driving support and automation systems will improve their performance towards matching human driver's expectations. Practitioner Summary: Interactions between drivers on the road may play a significant role in traffic coordination. On-road observations and running commentaries are presented as empirical evidence to support a model of such interactions; incorporation of drivers' interactions in future driving support and automation systems may improve their performance towards matching driver's expectations.

  4. Sexual behavior among truck drivers.

    Science.gov (United States)

    Singh, Rajiv Kumar; Joshi, Hari Shankar

    2012-01-01

    A cross-sectional study was conducted on Lucknow highway in Bareilly district of Uttar Pradesh to study the knowledge of truck drivers about HIV transmission and prevention and to study the sexual behaviour of these drivers with reference to HIV/AIDS. Age, marital status, education, income, drinking alcohol, length of stay away from home, knowledge about transmission and prevention of HIV, and HIV-prone behavior of truck drivers were studied. Chi-square, mean, and SD were calculated. In all, 289 (97.6%) drivers had heard about HIV/AIDS. Only 242 (81.8%) were aware of HIV transmission by heterosexual route. Misconceptions such as HIV transmission by mosquito bites, living in same room, shaking hands, and sharing food were found. Out of 174 (58.8%) who visited Commercial Sex Workers (CSW), 146 (83.9%) used a condom. 38 (12.8%) visited more than 5 CSW in the last 3 months. Time away from home on the road, marital status, alcohol use, and income class were associated with visiting CSW. High-risk behavior was established in the study population. Safe sex and use of condoms need to be promoted among the truck drivers and better condom availability needs to be assured on highways.

  5. Compliance with driver's license laws and illegal licensing among commercial bus drivers in Lagos, Nigeria: policy implications and evidence for action.

    Science.gov (United States)

    Okafor, I P; Odeyemi, K A; Dolapo, D C; Adegbola, A A

    2014-09-01

    To determine the level of compliance with driver's license laws among commercial bus drivers in Lagos, Nigeria. Two intercity motor parks were selected by simple random sampling and all consenting minibus drivers participated in the study. Key Informant Interviews (KIIs) were also conducted with selected officials in the driver training and licensing authorities. Compliance with the minimum age for driving was high (93.6%), so also was having driving test prior to driver's license procurement (83.3%). Formal driver training and VA testing were very low, (26.1% and 32.9% respectively) Overall, only 9.3% of them were found to have fulfilled all the pre-license obligations before obtaining their first driver's license. The odds of a driver with a secondary education having formal driver training is 3.33 times higher than those with no education (OR 3.33, 95% CI 1.01-11.35). Drivers who were 60 years or older were 3.62 times more likely to be compliant than those who were between 20-29 years (OR 3.62, 95% CI 0.56-29.19). For the 98.3% of them who possessed valid licenses, 52.3% of them obtained them illegally. All the key officials saw RTIs as a serious public health problem but faced several challenges in the course of their work. Overall compliance with pre-license regulations was very poor. There is need for a review and strict enforcement of driver's license laws to improve compliance. Also vital are fostering inter-sectoral collaboration and improvement in the operations of all establishments involved in driver training and license procurement in Nigeria.

  6. Driver distraction by smartphone use (WhatsApp) in different age groups.

    Science.gov (United States)

    Ortiz, C; Ortiz-Peregrina, S; Castro, J J; Casares-López, M; Salas, C

    2018-08-01

    This paper investigates the effect that texting with WhatsApp, one of the most common applications for instant messaging, exerts on driving performance. Because distracted driving also affects older drivers, who can have seriously compromised vision, we also analysed the associations between visual-function parameters and driving performance. A total of 75 drivers, experienced in sending WhatsApp messages (≥10WhatsApp messages/week), participated in this study and were divided into four age categories. Visual-function tests included contrast sensitivity with and without glare, retinal straylight and objective assessment of optical quality. Simulated driving performance was assessed under a baseline driving condition (without distraction) as well as a texting condition (WhatsApp messages) while driving. The participants used their own mobile phone. Lastly, objective results of driving performance were compared with subjective self-report data from the Driver Behaviour Questionnaire (DBQ). The analysis indicated that functional changes occurring with age, such as a lower contrast sensitivity and greater retinal straylight, were correlated with a higher number of collisions, longer distances driven outside the lane, and greater standard deviation of lateral position (SDLP). The results showed a significant main effect of age for the driving-performance parameters. Also, compared to the baseline, texting WhatsApp messages while driving worsens driving performance for all age groups, most notably among older participants. Thus, the older drivers' SDLP was ∼14% higher than that for the baseline average of all the other drivers and rose to 29% under distraction, reflecting the impact of secondary tasks. The negative effect of the use of the smartphone during driving was also reflected in the number of collisions, with a greater risk of accidents in all the groups of drivers (by 8.3% for young adults, 25.0% for adults, 80.5% for middle-aged adults, and 134.5% for older

  7. Exploring Challenges in Developing a Smart and Effective Assistive System for Improving the Experience of the Elderly Drivers

    Science.gov (United States)

    Jung, Sebin; Meng, Hong-Ying; Qin, Sheng-Feng

    2017-09-01

    As the overall population ages, driving-related accidents and injuries, associated with elderly drivers, have risen. Existing research about elderly drivers mainly focuses on factual data collection and analysis, indicating the elderly's growing fatal accident rates and their different behaviours compared to younger drivers. However, few research has focused on design-led practical solutions to mitigate the elderly's growing fatal accidents, by considering their usability and body conditions, afflicting the elderly, such as decreased vision, hearing, and reaction times. In this paper, first, current worldwide situations on growing fatal accident rates for elderly drivers is reviewed and the key impact factors are identified and discussed with regarding to usability and design trend in the automotive technology for elderly. Second, existing smart vehicle technology-based solutions to promote safe driving are explored and their pros and cons are discussed and analysed. Most of solutions are not created by people with driving difficulties, which are caused by health problems most commonly afflicting the elderly. Thirdly, diverse design-led research activities are taken, such as a survey, observation, and interviews to gain new understanding of what kinds of driving problems elderly drivers have and demonstrate how new system concepts could be developed for the elderly's benefits. Finally, it is found that the elderly's low vision and late reaction are main factors causing their driving difficulties. Based on this finding, usable vehicle system design ideas have been proposed, by utilising facial expression sensing technology as a solution. The proposed solutions would ensure reducing both the elderly's driving problems and high fatal accident rates and provide a more enjoyable driving environment for the elderly population.

  8. The impact of threat appeals on fear arousal and driver behavior: a meta-analysis of experimental research 1990-2011.

    Directory of Open Access Journals (Sweden)

    Rachel N Carey

    Full Text Available The existing empirical research exploring the impact of threat appeals on driver behavior has reported inconsistent findings. In an effort to provide an up-to-date synthesis of the experimental findings, meta-analytic techniques were employed to examine the impact of threat-based messages on fear arousal and on lab-based indices of driving behavior. Experimental studies (k = 13, N = 3044, conducted between 1990 and 2011, were included in the analyses. The aims of the current analysis were (a to examine whether or not the experimental manipulations had a significant impact on evoked fear, (b to examine the impact of threat appeals on three distinct indices of driving, and (c to identify moderators and mediators of the relationship between fear and driving outcomes. Large effects emerged for the level of fear evoked, with experimental groups reporting increased fear arousal in comparison to control groups (r = .64, n = 619, p<.01. The effect of threat appeals on driving outcomes, however, was not significant (r = .03, p = .17. This analysis of the experimental literature indicates that threat appeals can lead to increased fear arousal, but do not appear to have the desired impact on driving behavior. We discuss these findings in the context of threat-based road safety campaigns and future directions for experimental research in this area.

  9. Drivers of Collaborative Advantage

    DEFF Research Database (Denmark)

    Weihe, Gudrid

    processes and behavioural dimensions is practically non-existent. This article tries to remedy the current gap in the literature by reviewing research findings on interfirm collaboration (alliances). On that basis a conceptual framework for analyzing partnership processes is developed. Finally......, the antecedents of collaborative advantage are theoretically examined, and the organizational competences contributing to collaborative success are identified. The conclusion is that operational processes and social dynamics are vital drivers of collaborative advantage. Another significant conclusion...... is that public management research can benefit from drawing upon existing alliance research. Alliance scholars have during the past couple of decades accumulated an impressive amount of knowledge on different aspects of inter-firm cooperation, and therefore the learning potential for public management scholars...

  10. A comparative analysis of major drivers for environmental management in SMEs: legislation, b2b relationships and stakeholder pressures

    International Nuclear Information System (INIS)

    Kolachi, N.A.

    2005-01-01

    Since the study of Environmental Management and Small Medium Enterprises is not new area but research con Environmental Management in SMEs has a very little theoretical or empirical work on the topic. But now, due to the magnitude and growth in SMEs opportunities, the need for such studies has become very important. With regard to such research on the above topic, this research paper has identified some crucial research issues regarding the drivel and barriers of Environmental Management in SMEs. This paper reports on a study of Environmental Management, attitudes and perceptions of SMEs toward Environmental Management issues. As environmental initiatives in SMEs are, however, often inhibited by lack of resources, capacity and capability, an effort has been made in exploring the factors of such resources. Companies are facing increasing demand concerning the environmental performance of their products. The thinking of product life cycle requires the main contractors to be aware of environmental aspects of their products with in the whole value chain. This study will also focus on such value chains. In this paper, the tools are identified which small firms use to improve environmental performance. The paper also focuses on some crucial drivers and barriers for the uptake of Environmental Management tools just to identify the environmental impacts. In addition, it evaluates some threats such as trade, supply chain issues an legislation compliance in general. Moreover, this paper comprises on five major sections: First part is about the general discussion on Environmental Management, Second is about SMEs, its concept and its pertinent points towards Environmental Management, Third is regarding the integration of SMEs to Environmental Management tools, Fourth is mainly about the major drivers a legislation, business to business relationships and stakeholder pressures, Fifth part focuses on common characteristics of SMEs regarding environmental legislation to control

  11. A Statistical Analysis of the Economic Drivers of Battery Energy Storage in Commercial Buildings: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Long, Matthew; Simpkins, Travis; Cutler, Dylan; Anderson, Katie

    2016-11-01

    There is significant interest in using battery energy storage systems (BESS) to reduce peak demand charges, and therefore the life cycle cost of electricity, in commercial buildings. This paper explores the drivers of economic viability of BESS in commercial buildings through statistical analysis. A sample population of buildings was generated, a techno-economic optimization model was used to size and dispatch the BESS, and the resulting optimal BESS sizes were analyzed for relevant predictor variables. Explanatory regression analyses were used to demonstrate that peak demand charges are the most significant predictor of an economically viable battery, and that the shape of the load profile is the most significant predictor of the size of the battery.

  12. Associations of repeated high alcohol use with unsafe driving behaviors, traffic offenses, and traffic crashes among young drivers: Findings from the New Zealand Drivers Study.

    Science.gov (United States)

    Begg, Dorothy; Brookland, Rebecca; Connor, Jennie

    2017-02-17

    The objective of this study was to describe self-reported high alcohol use at each of the 3 licensing stages of graduated driver licensing and its relationship to drink-driving behaviors, intentional risky driving, aggressive driving, alcohol traffic offenses, non-alcohol traffic offenses, and traffic crashes. The New Zealand Drivers Study (NZDS) is a multistage, prospective cohort study of newly licensed drivers interviewed at all 3 stages of the graduated driver licensing system: learner (baseline), restricted (intermediate), and full license. At each stage, alcohol use was self-reported using the Alcohol Use Disorders Identification Test (AUDIT-C), with high alcohol use defined as a score of ≥4 for males and ≥3 for females. Sociodemographic and personality data were obtained at the baseline interview. Alcohol-related, intentional risky, and aggressive driving behaviors were self-reported following each license stage. Traffic crashes and offenses were identified from police records. Crashes were also self-reported. Twenty-six percent (n = 397) reported no high alcohol use, 22% at one license stage, 30% at 2 stages, and 22% at 3 stages. Poisson regression results (unadjusted and adjusted) showed that the number of stages where high alcohol use was reported was significantly associated with each of the outcomes. For most outcomes, and especially the alcohol-involved outcomes, the relative risk increased with the number of stages of high alcohol use. We found that high alcohol use was common among young newly licensed drivers and those who repeatedly reported high alcohol use were at a significantly higher risk of unsafe driving behaviors. Recently introduced zero blood alcohol concentration (BAC) should help to address this problem, but other strategies are required to target persistent offenders.

  13. Using shadow page cache to improve isolated drivers performance.

    Science.gov (United States)

    Zheng, Hao; Dong, Xiaoshe; Wang, Endong; Chen, Baoke; Zhu, Zhengdong; Liu, Chengzhe

    2015-01-01

    With the advantage of the reusability property of the virtualization technology, users can reuse various types and versions of existing operating systems and drivers in a virtual machine, so as to customize their application environment. In order to prevent users' virtualization environments being impacted by driver faults in virtual machine, Chariot examines the correctness of driver's write operations by the method of combining a driver's write operation capture and a driver's private access control table. However, this method needs to keep the write permission of shadow page table as read-only, so as to capture isolated driver's write operations through page faults, which adversely affect the performance of the driver. Based on delaying setting frequently used shadow pages' write permissions to read-only, this paper proposes an algorithm using shadow page cache to improve the performance of isolated drivers and carefully study the relationship between the performance of drivers and the size of shadow page cache. Experimental results show that, through the shadow page cache, the performance of isolated drivers can be greatly improved without impacting Chariot's reliability too much.

  14. Education for older drivers in the future

    Directory of Open Access Journals (Sweden)

    Esko Keskinen

    2014-07-01

    Five presumptions have to be considered when addressing future education for older drivers: 1. Driving a car will continue to be one element of mobility in the future; 2. Older people want to be able to keep driving; 3. Safety will be an even more important factor in mobility in the future; 4. Ecological values will be more important in the future; and 5. Innovative technological applications will be more important in the future. Hierarchical models of driving are suitable in increasing understanding of older drivers' needs and abilities. The highest levels of the driving hierarchy in the Goals for Driver Education (GDE model are especially important for the safety of both young and elderly drivers. In these highest levels goals for life, skills for living, and social environment affect everyday decision making in general but also driving, which has an impact on driver safety. Giving up driving is very much a social decision and should be taken as such. However, the highest levels of the driving hierarchy are by nature inaccessible to teacher-centered instruction These levels require more coaching-like education methods where the learner takes the central role and the teacher helps the drivers understand their own abilities and limitations in traffic. Testing and selecting older drivers to enhance safety is not, according to research findings, working in a proper way. Older drivers do not so much need more information concerning traffic rules, etc., but rather better understanding of themselves, their health restrictions, their skills, and their abilities to ensure daily mobility. Their closest companions also need tools to help them in discussions of traffic safety issues affecting older drivers.

  15. Professional experience and traffic accidents/near-miss accidents among truck drivers.

    Science.gov (United States)

    Girotto, Edmarlon; Andrade, Selma Maffei de; González, Alberto Durán; Mesas, Arthur Eumann

    2016-10-01

    To investigate the relationship between the time working as a truck driver and the report of involvement in traffic accidents or near-miss accidents. A cross-sectional study was performed with truck drivers transporting products from the Brazilian grain harvest to the Port of Paranaguá, Paraná, Brazil. The drivers were interviewed regarding sociodemographic characteristics, working conditions, behavior in traffic and involvement in accidents or near-miss accidents in the previous 12 months. Subsequently, the participants answered a self-applied questionnaire on substance use. The time of professional experience as drivers was categorized in tertiles. Statistical analyses were performed through the construction of models adjusted by multinomial regression to assess the relationship between the length of experience as a truck driver and the involvement in accidents or near-miss accidents. This study included 665 male drivers with an average age of 42.2 (±11.1) years. Among them, 7.2% and 41.7% of the drivers reported involvement in accidents and near-miss accidents, respectively. In fully adjusted analysis, the 3rd tertile of professional experience (>22years) was shown to be inversely associated with involvement in accidents (odds ratio [OR] 0.29; 95% confidence interval [CI] 0.16-0.52) and near-miss accidents (OR 0.17; 95% CI 0.05-0.53). The 2nd tertile of professional experience (11-22 years) was inversely associated with involvement in accidents (OR 0.63; 95% CI 0.40-0.98). An evident relationship was observed between longer professional experience and a reduction in reporting involvement in accidents and near-miss accidents, regardless of age, substance use, working conditions and behavior in traffic. Copyright © 2016 Elsevier Ltd. All rights reserved.

  16. Prevalence of Hypertension in Professional Drivers (from the RACER-ABPM Study).

    Science.gov (United States)

    Platek, Anna E; Szymanski, Filip M; Filipiak, Krzysztof J; Kotkowski, Marcin; Rys, Anna; Semczuk-Kaczmarek, Karolina; Adamkiewicz, Karolina

    2017-11-15

    Professional drivers are a group exposed to many cardiovascular risk factors. Nonsystematic working hours, stress, low physical activity, and unhealthy dietary habits are common among professional drivers. These translate into high risk of cardiovascular disease. The aim of the current analysis was to establish the prevalence of arterial hypertension in a group of continuous professional drivers. The RACER (Risk of Adverse Cardiovascular Events among professional dRivers in Poland) study is a prospective study focused on assessing cardiovascular risk factors in professional drivers. Patients included in the study were screened for the classical and nonclassical cardiovascular risk factors and had an ambulatory blood pressure monitoring (ABPM) performed. Of the RACER study population, 144 drivers were included into the RACER-ABPM study. Of this group 135 (95.7%) were male at mean age of 50.2 ± 9.3 years, with mean body mass index of 32.3 ± 3.0 kg/m 2 . In 21.3% of patients, family history of cardiovascular disease was noted, 28.1% were current smokers, and 2.9% had diabetes mellitus. Arterial hypertension was previously diagnosed in 39 patients (27.9%). In ABPM, the mean 24-hour blood pressure (BP) values were 130.3 ± 14.3 and 80.9 ± 9.9 for systolic and diastolic BP, respectively, and 46.1% of patients could be categorized as dippers. Based on the ABPM results, arterial hypertension was diagnosed in 104 of patients (73.8%). Patients with hypertension tend to be more often male and have a family history of cardiovascular disease. In conclusion, arterial hypertension is highly prevalent in professional drivers. Also abnormal day-to-night BP value patterns are often seen in this group. Copyright © 2017 Elsevier Inc. All rights reserved.

  17. Nonintrusive biological signal monitoring in a car to evaluate a driver's stress and health state.

    Science.gov (United States)

    Baek, Hyun Jae; Lee, Haet Bit; Kim, Jung Soo; Choi, Jong Min; Kim, Ko Keun; Park, Kwang Suk

    2009-03-01

    Nonintrusive monitoring of a driver's physiological signals was introduced and evaluated in a car as a test of extending the concept of ubiquitous healthcare to vehicles. Electrocardiogram, photoplethysmogram, galvanic skin response, and respiration were measured in the ubiquitous healthcare car (U-car) using nonintrusively installed sensors on the steering wheel, driver's seat, and seat belt. Measured signals were transmitted to the embedded computer via Bluetooth(R) communication and processed. We collected and analyzed physiological signals during driving in order to estimate a driver's stress state while using this system. In order to compare the effect of stress on physical and mental conditions, two categories of stresses were defined. Experimental results show that a driver's physiological signals were measured with acceptable quality for analysis without interrupting driving, and they were changed meaningfully due to elicited stress. This nonintrusive monitoring can be used to evaluate a driver's state of health and stress.

  18. The importance of sight for drivers

    Directory of Open Access Journals (Sweden)

    Alicja Pas-Wyroślak

    2013-06-01

    Full Text Available Sight is the basic sense for drivers. Condition of the eye determines correct, comfortable and safe performance of the work as drivers. This article presents various factors influencing the sight condition. There are two groups of factors, external (environment, the kind and time of work, stress caused by work and internal (systemic and local disorders. All these factors can reduce significantly visual functions, such as visual acuity, field of vision, color vision, strereoscopic vision, twilight vision and glare sensitivity. There are also presented actual requirements for drivers and causes of the car accidents in various age groups. Impairments in vision functions can be dangerous for both the driver and other road users. Med Pr 2013;64(3:419–425

  19. The TRAIN-project: railway safety and the train driver information environment and work situation. A summary of the main results

    Energy Technology Data Exchange (ETDEWEB)

    Kecklund, L. [MTO Psychology and Swedish National Rail Administration (Sweden); Ingre, M.; Kecklund, G.; Soederstroem, M.; Aakerstedt, T. [National Inst. for Psychosocial Factors and Health (Sweden); Lindberg, E. [Swedish National Rail Administration (Sweden); Jansson, A.; Olsson, E.; Sandblad, B. [Uppsala Univ. (Sweden). Dept. of Human-Computer Interaction; Almqvist, P. [Swedish State Railways (Sweden)

    2001-07-01

    The TRAIN project investigates traffic safety related risks, focusing in particular on the train driver work situation, use of information but also on the supporting safety organisation. It is an on-going project funded and managed by Swedish National Rail Administration and carried out by independent researchers. The project provides a multi-disciplinary investigation by use of a man-technology-organisation (MTO) perspective. Activities performed are task analysis, evaluation of the drivers use of information and interaction with the ATP system as well as analyses of stress, mental workload and work hours. Several methods are being used such as interviews, questionnaires, diaries, activity monitoring and videotapes. This paper gives an overview of the project as well as a short summary of the main results. Detailed results are presented in separate reports as started in the reference list. Some of the main results are that the drivers report severe problems concerning sleepiness on early morning shifts, problems with maintenance on vehicles, lack of information supporting the planning task as well as problems in understanding ATP functions. Two groups of drivers having a feed-back related as opposed to a feed-forward driving style could be identified. In conclusion there is a great need to perform more scientific studies of human factors and railway safety as well as to implement safety management programs including professional human factors competence in the railway industries. (orig.)

  20. Gap Acceptance During Lane Changes by Large-Truck Drivers-An Image-Based Analysis.

    Science.gov (United States)

    Nobukawa, Kazutoshi; Bao, Shan; LeBlanc, David J; Zhao, Ding; Peng, Huei; Pan, Christopher S

    2016-03-01

    This paper presents an analysis of rearward gap acceptance characteristics of drivers of large trucks in highway lane change scenarios. The range between the vehicles was inferred from camera images using the estimated lane width obtained from the lane tracking camera as the reference. Six-hundred lane change events were acquired from a large-scale naturalistic driving data set. The kinematic variables from the image-based gap analysis were filtered by the weighted linear least squares in order to extrapolate them at the lane change time. In addition, the time-to-collision and required deceleration were computed, and potential safety threshold values are provided. The resulting range and range rate distributions showed directional discrepancies, i.e., in left lane changes, large trucks are often slower than other vehicles in the target lane, whereas they are usually faster in right lane changes. Video observations have confirmed that major motivations for changing lanes are different depending on the direction of move, i.e., moving to the left (faster) lane occurs due to a slower vehicle ahead or a merging vehicle on the right-hand side, whereas right lane changes are frequently made to return to the original lane after passing.

  1. Workshop on transport for a common ion driver

    International Nuclear Information System (INIS)

    Olson, C.C.; Lee, E.; Langdon, B.

    1994-01-01

    This report contains research in the following areas related to beam transport for a common ion driver: multi-gap acceleration; neutralization with electrons; gas neutralization; self-pinched transport; HIF and LIF transport, and relevance to common ion driver; LIF and HIF reactor concepts and relevance to common ion driver; atomic physics for common ion driver; code capabilities and needed improvement

  2. Taxonomy of Older Driver Behaviors and Crash Risk : with Appendices A and B

    Science.gov (United States)

    2012-02-01

    This projects objectives were to identify risky behaviors, driving habits, and exposure patterns that have been shown to increase the likelihood of crash involvement among older drivers; and to classify these crash-contributing factors according t...

  3. Pre-licensed driving experience and car crash involvement during the learner and restricted, licence stages of graduated driver licensing: Findings from the New Zealand drivers study.

    Science.gov (United States)

    Begg, Dorothy J; Langley, John D; Brookland, Rebecca L; Ameratunga, Shanthi; Gulliver, Pauline

    2014-01-01

    The aim of this study was to determine whether pre-licence driving experiences, that is driving before beginning the licensing process, increased or decreased crash risk as a car driver, during the learner or the restricted licence stages of the graduated driver licensing system (GDLS). Study participants were 15-24 year old members of the New Zealand Drivers Study (NZDS) - a prospective cohort study of newly licensed car drivers. The interview stages of the NZDS are linked to, the three licensing stages of the GDLS: learner, restricted and full. Baseline demographic (age, ethnicity, residential location, deprivation), personality (impulsivity, sensation seeking, aggression) and, behavioural data, (including pre-licensed driving behaviour), were obtained at the learner licence interview. Data on distance driven and crashes that occurred at the learner licence and restricted licence stages, were reported at the restricted and full licence interviews, respectively. Crash data were also obtained from police traffic crash report files and this was combined with the self-reported crash data. The analysis of the learner licence stage crashes, when only supervised driving is allowed, was based on the participants who had passed the restricted licence test and undertaken the NZDS, restricted licence interview (n=2358). The analysis of the restricted licence stage crashes, when unsupervised driving is first allowed, was based on those who had passed the full licence test and completed the full licence interview (n=1428). After controlling for a range of demographic, personality, behavioural variables and distance driven, Poisson regression showed that the only pre-licence driving behaviour that showed a consistent relationship with subsequent crashes was on-road car driving which was associated with an increased risk of being the driver in a car crash during the learner licence period. This research showed that pre-licensed driving did not reduce crash risk among learner or

  4. Driver training in steps (DTS).

    NARCIS (Netherlands)

    2010-01-01

    For some years now, it has been possible in the Netherlands to follow a Driver Training in Steps (DTS) as well as the regular driver training. The DTS is a structured training method with clear training objectives which are categorized in four modules. Although the DTS is considerably better than

  5. Long-term changes in CO2 emissions in Austria and Czechoslovakia—Identifying the drivers of environmental pressures

    Science.gov (United States)

    Gingrich, Simone; Kušková, Petra; Steinberger, Julia K.

    2011-01-01

    This study presents fossil-fuel related CO2 emissions in Austria and Czechoslovakia (current Czech Republic and Slovakia) for 1830–2000. The drivers of CO2 emissions are discussed by investigating the variables of the standard Kaya identity for 1920–2000 and conducting a comparative Index Decomposition Analysis. Proxy data on industrial production and household consumption are analysed to understand the role of the economic structure. CO2 emissions increased in both countries in the long run. Czechoslovakia was a stronger emitter of CO2 throughout the time period, but per-capita emissions significantly differed only after World War I, when Czechoslovakia and Austria became independent. The difference in CO2 emissions increased until the mid-1980s (the period of communism in Czechoslovakia), explained by the energy intensity and the composition effects, and higher industrial production in Czechoslovakia. Counterbalancing factors were the income effect and household consumption. After the Velvet revolution in 1990, Czechoslovak CO2 emissions decreased, and the energy composition effect (and industrial production) lost importance. Despite their different political and economic development, Austria and Czechoslovakia reached similar levels of per-capita CO2 emissions in the late 20th century. Neither Austrian “eco-efficiency” nor Czechoslovak restructuring have been effective in reducing CO2 emissions to a sustainable level. PMID:21461052

  6. Considering the effects of ambient particulate matter on the lung function of motorcycle taxi drivers in Bangkok, Thailand.

    Science.gov (United States)

    Arphorn, Sara; Ishimaru, Tomohiro; Hara, Kunio; Mahasandana, Suwisa

    2018-02-01

    The motorcycle taxi drivers of Bangkok have been heavily exposed to high concentrations of PM 10 (particulate matter with an aerodynamic diameter ≤10 μm), and the impact of this on their lungs has been neither documented nor studied. This study examines the association between exposure to PM 10 and lung function decline among motorcycle taxi drivers. A cross-sectional study was conducted in Bangkok between two groups: a subject group of motorcycle taxi drivers and control group of enclosed vehicle taxi drivers. The findings of the Thailand Pollution Control Department were used to estimate the annual ambient PM 10 concentration levels in the metropolis. Pulmonary functions of motorcycle taxi drivers and enclosed vehicle taxi drivers were measured and compared using the Mann-Whitney test. Multiple linear regression analysis was applied to estimate the effects of PM 10 exposure on the lung function of motorcycle taxi drivers. A total of 1283 motorcycle taxi drivers and 600 taxi drivers were investigated. The mean forced expiratory volume in 1 sec/forced vital capacity (FEV 1 /FVC) of the motorcycle taxi drivers was significantly lower than that of the taxi drivers (P Organization (WHO) vehicular emission standards should be recognized and eventually enforced.

  7. Why do drivers become safer over the first three months of driving? A longitudinal qualitative study.

    Science.gov (United States)

    Day, Marianne R; Thompson, Andrew R; Poulter, Damian R; Stride, Christopher B; Rowe, Richard

    2018-08-01

    Drivers are at high crash risk when they begin independent driving, with liability decreasing steeply over the first three months. Their behavioural development, and other changes underlying improved safety are not well understood. We adopted an innovative longitudinal qualitative design, with thirteen newly qualified drivers completing a total of 36 semi-structured interviews, one, two and three months after acquiring a full UK driving license. The interviews probed high-risk factors for new drivers, as well as allowing space for generating novel road safety issues. Analysis adopted a dual deductive and inductive interpretative thematic approach, identifying three super-ordinate themes: (1) Improvements in car control skills and situation awareness; (2) A reduction in the thrill of taking risks when driving against a background of generally increasing driving speed; (3) Early concerns about their social status in the eyes of other road users during the early stages of driving, which may put pressure on them to drive faster than they felt comfortable with. The study provides important new leads towards understanding how novice driving becomes safer over the first few months of driving, including how well-studied concepts of driving skill and style may change during development of independent driving, and bringing the less rigorously studied concept of social status into focus. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

  8. Building Repository Networks with DRIVER: Joint Explorations with the IR Grid in China

    OpenAIRE

    Horstmann, Wolfram; Rosemann, Uwe

    2009-01-01

    Scenarios of collaboration for supporting Open Access to research results through institutional repository networks have been explored between the IR Grid of the National Science Library of the Chinese Academy of Sciences and the European DRIVER-Initiative through its German partners Bielefeld University Library as well as the State and University Library Göttingen. The activities included a joint analysis of the DRIVER infrastructure software D-NET and also resulted in the registration of ch...

  9. A hybrid life cycle and multi-criteria decision analysis approach for identifying sustainable development strategies of Beijing's taxi fleet

    International Nuclear Information System (INIS)

    Cai, Yanpeng; Applegate, Scott; Yue, Wencong; Cai, Jianying; Wang, Xuan; Liu, Gengyuan; Li, Chunhui

    2017-01-01

    To identify and evaluate sustainable strategies of taxi fleet in Beijing in terms of economic, policy, and environmental implications, a hybrid approach was developed through incorporating multi-criteria decision analysis (MCDA) methods within a general life-cycle analysis (LCA) framework. The approach can (a) help comprehensive evaluate environmental impacts of multiple types of vehicles, (b) facilitate analysis of environmental, economic and policy features of such vehicles, and (c) identify desirable taxi fleet development strategies for the city. The developed approach represented an improvement of the decision-making capability for taxi implementation based on multiple available technologies and their performance that can be specifically tailored to Beijing. The results demonstrated that the proposed approach could comprehensively reflect multiple implications of strategies for the taxi fleet in Beijing to reduce air pollution in the city. The results also indicated that the electric vehicle powered with the year 2020 electricity projections would be the ideal solution, outranking the other alternatives. The conventional vehicle ranked the lowest among the alternatives. The plug-in hybrid vehicle powered by 2020 electricity projects ranked the third, followed by the plug-in hybrid vehicle ranking the fourth, and the hybrid vehicle ranking the fifth. - Highlights: • An hybrid approach was proposed for evaluating sustainable strategies of Beijing's taxi fleet. • This approach was based on the combination of multi-criteria decision analysis methods and life-cycle assessment. • Environmental, economic and policy performances of multiple strategies were compared. • Detailed responses of taxi drivers and local residents were interviewed. • The electric vehicle would be the ideal solution for Beijing Taxi fleet.

  10. A gating grid driver for time projection chambers

    Energy Technology Data Exchange (ETDEWEB)

    Tangwancharoen, S.; Lynch, W.G.; Barney, J.; Estee, J. [National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, MI 48824 (United States); Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 (United States); Shane, R. [National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, MI 48824 (United States); Tsang, M.B., E-mail: tsang@nscl.msu.edu [National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, MI 48824 (United States); Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 (United States); Zhang, Y. [Department of Physics, Tsinghua University, Beijing 100084 (China); Isobe, T.; Kurata-Nishimura, M. [RIKEN Nishina Center, Hirosawa 2-1, Wako, Saitama 351-0198 (Japan); Murakami, T. [Department of Physics, Kyoto University, Kita-shirakawa, Kyoto 606–8502 (Japan); Xiao, Z.G. [Department of Physics, Tsinghua University, Beijing 100084 (China); Zhang, Y.F. [College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875 (China)

    2017-05-01

    A simple but novel driver system has been developed to operate the wire gating grid of a Time Projection Chamber (TPC). This system connects the wires of the gating grid to its driver via low impedance transmission lines. When the gating grid is open, all wires have the same voltage allowing drift electrons, produced by the ionization of the detector gas molecules, to pass through to the anode wires. When the grid is closed, the wires have alternating higher and lower voltages causing the drift electrons to terminate at the more positive wires. Rapid opening of the gating grid with low pickup noise is achieved by quickly shorting the positive and negative wires to attain the average bias potential with N-type and P-type MOSFET switches. The circuit analysis and simulation software SPICE shows that the driver restores the gating grid voltage to 90% of the opening voltage in less than 0.20 µs, for small values of the termination resistors. When tested in the experimental environment of a time projection chamber larger termination resistors were chosen so that the driver opens the gating grid in 0.35 µs. In each case, opening time is basically characterized by the RC constant given by the resistance of the switches and terminating resistors and the capacitance of the gating grid and its transmission line. By adding a second pair of N-type and P-type MOSFET switches, the gating grid is closed by restoring 99% of the original charges to the wires within 3 µs.

  11. Identifying Breast Cancer Oncogenes

    Science.gov (United States)

    2010-10-01

    tyrosine kinases with an SH3, SH2 and catalytic domain, it lacks a native myristylation signal shared by most members of this class [14], [38]. The...therapeutics and consequently, improve clinical outcomes. We aim to identify novel drivers of breast oncogenesis. We hypothesize that a kinase gain-of...human mammary epithelial cells. A pBabe-Puro-Myr-Flag kinase open reading frame (ORF) library was screened in immortalized human mammary epithelial

  12. Driver Performance Problems of Intercity Bus Public Transportation Safety in Indonesia

    Science.gov (United States)

    Suraji, A.; Harnen, S.; Wicaksono, A.; Djakfar, L.

    2017-11-01

    The risk of an inter-city bus public accident can be influenced by various factors such as the driver’s performance. Therefore, knowing the various influential factors related to driver’s performance is very necessary as an effort to realize road traffic safety. This study aims to determine the factors that fall on the accident associated with the driver’s performance and make mathematical modeling factors that affect the accident. Methods of data retrieval were obtained from NTSC secondary data. The data was processed by identifying factors that cause the accident. Furthermore data processing and analysis used the PCA method to obtain mathematical modeling of factors influencing the inter-city bus accidents. The results showed that the main factors that cause accidents are health, discipline, and driver competence.

  13. A Framework for Function Allocation in Intelligent Driver Interface Design for Comfort and Safety

    Directory of Open Access Journals (Sweden)

    Wuhong Wang

    2010-11-01

    Full Text Available This paper presents a conceptual framework for ecological function allocation and optimization matching solution for a human-machine interface with intelligent characteristics by lwho does what and when and howr consideration. As a highlighted example in nature-social system, intelligent transportation system has been playing increasingly role in keeping traffic safety, our research is concerned with identifying human factors problem of In-vehicle Support Systems (ISSs and revealing the consequence of the effects of ISSs on driver cognitive interface. The primary objective is to explore some new ergonomics principals that will be able to use to design an intelligent driver interface for comfort and safety, which will address the impact of driver interfaces layouts, traffic information types, and driving behavioral factors on the advanced vehicles safety design.

  14. Characterization of a morphogenetic furrow specific Gal4 driver in the developing Drosophila eye.

    Directory of Open Access Journals (Sweden)

    Ankita Sarkar

    Full Text Available The ability to express a gene of interest in a spatio-temporal manner using Gal4-UAS system has allowed the use of Drosophila model to study various biological phenomenon. During Drosophila eye development, a synchronous wave of differentiation called Morphogenetic furrow (MF initiates at the posterior margin resulting in differentiation of retinal neurons. This synchronous differentiation is also observed in the differentiating retina of vertebrates. Since MF is highly dynamic, it can serve as an excellent model to study patterning and differentiation. However, there are not any Gal4 drivers available to observe the gain- of- function or loss- of- function of a gene specifically along the dynamic MF. The decapentaplegic (dpp gene encodes a secreted protein of the transforming growth factor-beta (TGF-beta superfamily that expresses at the posterior margin and then moves with the MF. However, unlike the MF associated pattern of dpp gene expression, the targeted dpp-Gal4 driver expression is restricted to the posterior margin of the developing eye disc. We screened GMR lines harboring regulatory regions of dpp fused with Gal4 coding region to identify MF specific enhancer of dpp using a GFP reporter gene. We employed immuno-histochemical approaches to detect gene expression. The rationale was that GFP reporter expression will correspond to the dpp expression domain in the developing eye. We identified two new dpp-Gal4 lines, viz., GMR17E04-Gal4 and GMR18D08-Gal4 that carry sequences from first intron region of dpp gene. GMR17E04-Gal4 drives expression along the MF during development and later in the entire pupal retina whereas GMR18D08-Gal4 drives expression of GFP transgene in the entire developing eye disc, which later drives expression only in the ventral half of the pupal retina. Thus, GMR18D08-Gal4 will serve as a new reagent for targeting gene expression in the ventral half of the pupal retina. We compared misexpression phenotypes of Wg, a

  15. High current, high bandwidth laser diode current driver

    Science.gov (United States)

    Copeland, David J.; Zimmerman, Robert K., Jr.

    1991-01-01

    A laser diode current driver has been developed for free space laser communications. The driver provides 300 mA peak modulation current and exhibits an optical risetime of less than 400 ps. The current and optical pulses are well behaved and show minimal ringing. The driver is well suited for QPPM modulation at data rates up to 440 Mbit/s. Much previous work has championed current steering circuits; in contrast, the present driver is a single-ended on/off switch. This results in twice the power efficiency as a current steering driver. The driver electrical efficiency for QPPM data is 34 percent. The high speed switch is realized with a Ku-band GaAsFET transistor, with a suitable pre-drive circuit, on a hybrid microcircuit adjacent to the laser diode.

  16. 18- to 24-year-olds : young drivers.

    NARCIS (Netherlands)

    2016-01-01

    The fatality rate (fatalities per distance travelled) of young drivers (18- to 24-year-olds) is more than five times higher than that of drivers between the ages of 30 and 59 years. The fatality rate of young males is even as much as ten times higher. The high risk of young drivers is due to both

  17. Effects of Countdown Signals in Red Phase on Drivers: A Comparative Study between Japan and Turkey

    Directory of Open Access Journals (Sweden)

    Ke Yu

    2014-01-01

    Full Text Available Countdown signals can be found in many countries; however, there are only a few researches that study the impact of the signals on driver behavior. In this study, we focus particularly on the behavior of drivers reacting to countdown signals when the signal shifted from red to green. Although the countdown signal can reduce startup delay, it also causes drivers premature start. This paper determines the factors influencing the behaviors of drivers on startup delay, premature start, and headway due to countdown signals. The analysis results are compared between Japan and Turkey. From our findings, we propose countermeasures to reduce the problems caused by the countdown signals which can be a guideline for implementation or modification of countdown-signalized intersections in many countries in order to increase safety of both drivers and pedestrians as well as drivers’ satisfactions.

  18. Cost drivers for breast, lung, and colorectal cancer care in a commercially insured population over a 6-month episode: an economic analysis from a health plan perspective.

    Science.gov (United States)

    Sagar, Bhuvana; Lin, Yu Shen; Castel, Liana D

    2017-10-01

    In the absence of clinical data, accurate identification of cost drivers is needed for economic comparison in an alternate payment model. From a health plan perspective using claims data in a commercial population, the objective was to identify and quantify the effects of cost drivers in economic models of breast, lung, and colorectal cancer costs over a 6-month episode following initial chemotherapy. This study analyzed claims data from 9,748 Cigna beneficiaries with diagnosis of breast, lung, and colorectal cancer following initial chemotherapy from January 1, 2014 to December 31, 2015. We used multivariable regression models to quantify the impact of key factors on cost during the initial 6-month cancer care episode. Metastasis, facility provider affiliation, episode risk group (ERG) risk score, and radiation were cost drivers for all three types of cancer (breast, lung, and colorectal). In addition, younger age (p < .0001) and human epidermal growth factor receptor-2 oncogene overexpression (HER2+)-directed therapy (p < .0001) were associated with higher costs in breast cancer. Younger age (p < .0001) and female gender (p < .0001) were also associated with higher costs in colorectal cancer. Metastasis was also associated with 50% more hospital admissions and increased hospital length of stay (p < .001) in all three cancers over the 6-month episode duration. Chemotherapy and supportive drug therapies accounted for the highest proportion (48%) of total medical costs among beneficiaries observed. Value-based reimbursement models in oncology should appropriately account for key cost drivers. Although claims-based methodologies may be further augmented with clinical data, this study recommends adjusting for the factors identified in these models to predict costs in breast, lung, and colorectal cancers.

  19. A survey of light-vehicle driver education curriculum on sharing the road with heavy vehicles.

    Science.gov (United States)

    Baker, Stephanie; Schaudt, William A; Freed, J C; Toole, Laura

    2012-07-01

    Light-vehicle driver education programs that contain content about sharing the road with heavy vehicles may be helpful in reducing future light-vehicle/heavy-vehicle interactions. However, the extent of curricula in the United States including such content is unclear. Researchers developed an online survey targeted at instructors/administrators of state driver education programs to identify curricula addressing heavy vehicles and to determine perceived effectiveness. Ninety-one percent of respondents indicated that the light-vehicle driver education curriculum they teach/administer included a component covering how to safely share the road with heavy vehicles (82% perceived this component to be effective). Although a large proportion of these programs included a component on how to safely share the road with heavy vehicles, participants indicated there may be room for improvement. Participants recommended that future improvements to driver education programs include updated materials and student hands-on experience with heavy vehicles. Copyright © 2012 Elsevier Ltd. All rights reserved.

  20. An analysis of the lifestyle risk factors for long-distance truck drivers / Barend Koortzen von Wielligh

    OpenAIRE

    Von Wielligh, Barend Koortzen

    2014-01-01

    The Road Freight Industry accounts for 1 to 5 percent of most countries GDP (AECOM International Development, 2011). According to e-Natis there was 321 056 Trucks (Heavy load Vehicle GVM > 3500 kg) in South Africa by November 2009 (Arrive Alive, 2009). This relative big industry, according to the statistics, influences most other industries value chains. Vehicles are driven by trucks drivers, making driving trucks their living. These drivers have their own lifestyles and ways that they go abo...