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Sample records for modeling driver behavior

  1. Modeling aggressive driver behavior at unsignalized intersections.

    Science.gov (United States)

    Kaysi, Isam A; Abbany, Ali S

    2007-07-01

    The processing of vehicles at unsignalized intersections is a complex and highly interactive process, whereby each driver makes individual decisions about when, where, and how to complete the required maneuver, subject to his perceptions of distances, velocities, and own car's performance. Typically, the performance of priority-unsignalized intersections has been modeled with probabilistic approaches that consider the distribution of gaps in the major-traffic stream and their acceptance by the drivers of minor street vehicles based on the driver's "critical gap". This paper investigates the aggressive behavior of minor street vehicles at intersections that are priority-unsignalized but operate with little respect of control measures. The objective is to formulate a behavioral model that predicts the probability that a driver performs an aggressive maneuver as a function of a set of driver and traffic attributes. Parameters that were tested and modeled include driver characteristics (gender and age), car characteristics (performance and model year), and traffic attributes (number of rejected gaps, total waiting time at head of queue, and major-traffic speed). Binary probit models are developed and tested, based on a collected data set from an unsignalized intersection in the city of Beirut, to determine which of the studied variables are statistically significant in determining the aggressiveness of a specific driver. Primary conclusions reveal that age, car performance, and average speed on the major road are the major determinants of aggressive behavior. Another striking conclusion is that the total waiting time of the driver while waiting for an acceptable gap is of little significance in incurring the "forcing" behavior. The obtained model is incorporated in a simple simulation framework that reflects driver behavior and traffic stream interactions in estimating delay and conflict measures at unsignalized intersections. The simulation results were then compared

  2. Driver Behavior Modeling: Developments and Future Directions

    Directory of Open Access Journals (Sweden)

    Najah AbuAli

    2016-01-01

    Full Text Available The advances in wireless communication schemes, mobile cloud and fog computing, and context-aware services boost a growing interest in the design, development, and deployment of driver behavior models for emerging applications. Despite the progressive advancements in various aspects of driver behavior modeling (DBM, only limited work can be found that reviews the growing body of literature, which only targets a subset of DBM processes. Thus a more general review of the diverse aspects of DBM, with an emphasis on the most recent developments, is needed. In this paper, we provide an overview of advances of in-vehicle and smartphone sensing capabilities and communication and recent applications and services of DBM and emphasize research challenges and key future directions.

  3. Modeling Driver Behavior near Intersections in Hidden Markov Model.

    Science.gov (United States)

    Li, Juan; He, Qinglian; Zhou, Hang; Guan, Yunlin; Dai, Wei

    2016-12-21

    Intersections are one of the major locations where safety is a big concern to drivers. Inappropriate driver behaviors in response to frequent changes when approaching intersections often lead to intersection-related crashes or collisions. Thus to better understand driver behaviors at intersections, especially in the dilemma zone, a Hidden Markov Model (HMM) is utilized in this study. With the discrete data processing, the observed dynamic data of vehicles are used for the inference of the Hidden Markov Model. The Baum-Welch (B-W) estimation algorithm is applied to calculate the vehicle state transition probability matrix and the observation probability matrix. When combined with the Forward algorithm, the most likely state of the driver can be obtained. Thus the model can be used to measure the stability and risk of driver behavior. It is found that drivers' behaviors in the dilemma zone are of lower stability and higher risk compared with those in other regions around intersections. In addition to the B-W estimation algorithm, the Viterbi Algorithm is utilized to predict the potential dangers of vehicles. The results can be applied to driving assistance systems to warn drivers to avoid possible accidents.

  4. A control theoretic model of driver steering behavior

    Science.gov (United States)

    Donges, E.

    1977-01-01

    A quantitative description of driver steering behavior such as a mathematical model is presented. The steering task is divided into two levels: (1) the guidance level involving the perception of the instantaneous and future course of the forcing function provided by the forward view of the road, and the response to it in an anticipatory open-loop control mode; (2) the stabilization level whereby any occuring deviations from the forcing function are compensated for in a closed-loop control mode. This concept of the duality of the driver's steering activity led to a newly developed two-level model of driver steering behavior. Its parameters are identified on the basis of data measured in driving simulator experiments. The parameter estimates of both levels of the model show significant dependence on the experimental situation which can be characterized by variables such as vehicle speed and desired path curvature.

  5. 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.

  6. Characteristics of Chinese Driver Behavior

    OpenAIRE

    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 group discussion, and in-car tests. The main characteristics of Chinese driver behavior have been identified. A new method is developed for a simulation model calibration based on the study results.

  7. A Cellular Automaton Model for Heterogeneous and Incosistent Driver Behavior in Urban Traffic

    Institute of Scientific and Technical Information of China (English)

    LIUMing-Zhe; ZHAO Shi-Bo; WANG Rui-Li

    2012-01-01

    In this paper a cellular automaton model is proposed to describe driver behavior at a single-lane urban roundabout. Driver behavior has been considered as heterogeneous and inconsistent. Most traffic papers in the literature just discussed heterogeneous driver behavior, to our best knowledge. Two truncated Caussian distributions are used to model heterogeneous and inconsistent driver behavior, respectively. The physical meanings of two truncated distributions are indicated. This method may help enhance a better understanding of driver behavior at roundabout traffic, and even possibly provide references for roundabout design and management.

  8. Modeling driver behavior on motorways: Description of the SiMoNe model

    NARCIS (Netherlands)

    Minderhoud, M.M.; Bovy, P.H.L.

    1998-01-01

    Driver behavior on motorways is subject of study. It is essential to model driver behavior realistically in order to study traffic flow characteristics. Impacts of foreseen road geometry changes, vehicle characteristic adaptations or vehicle fleet composition changes on road capacity can be assessed

  9. Modeling and Recognizing Driver Behavior Based on Driving Data: A Survey

    Directory of Open Access Journals (Sweden)

    Wenshuo Wang

    2014-01-01

    Full Text Available In recent years, modeling and recognizing driver behavior have become crucial to understanding intelligence transport systems, human-vehicle systems, and intelligent vehicle systems. A wide range of both mathematical identification methods and modeling methods of driver behavior are presented from the control point of view in this paper based on the driving data, such as the brake/throttle pedal position and the steering wheel angle, among others. Subsequently, the driver’s characteristics derived from the driver model are embedded into the advanced driver assistance systems, and the evaluation and verification of vehicle systems based on the driver model are described.

  10. Driver Behavior and Motivation.

    Science.gov (United States)

    Thomas, Patricia

    School bus driver behavior and motivation are continuing concerns for leaders/administrators in the field of transportation. Motivation begins with selection of a potential new driver. Drivers must like children and be patient, loyal, and punctual. The applicant's background must be verified, in view of the national concern for child safety.…

  11. Event-Based Modeling of Driver Yielding Behavior at Unsignalized Crosswalks.

    Science.gov (United States)

    Schroeder, Bastian J; Rouphail, Nagui M

    2011-07-01

    This research explores factors associated with driver yielding behavior at unsignalized pedestrian crossings and develops predictive models for yielding using logistic regression. It considers the effect of variables describing driver attributes, pedestrian characteristics and concurrent conditions at the crosswalk on the yield response. Special consideration is given to 'vehicle dynamics constraints' that form a threshold for the potential to yield. Similarities are identified to driver reaction in response to the 'amber' indication at a signalized intersection. The logit models were developed from data collected at two unsignalized mid-block crosswalks in North Carolina. The data include 'before' and 'after' observations of two pedestrian safety treatments, an in-street pedestrian crossing sign and pedestrian-actuated in-roadway warning lights.The analysis suggests that drivers are more likely to yield to assertive pedestrians who walk briskly in their approach to the crosswalk. In turn, the yield probability is reduced with higher speeds, deceleration rates and if vehicles are traveling in platoons. The treatment effects proved to be significant and increased the propensity of drivers to yield, but their effectiveness may be dependent on whether the pedestrian activates the treatment.The results of this research provide new insights on the complex interaction of pedestrians and vehicles at unsignalized intersections and have implications for future work towards predictive models for driver yielding behavior. The developed logit models can provide the basis for representing driver yielding behavior in a microsimulation modeling environment.

  12. 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 g

  13. Modeling driver stop/run behavior at the onset of a yellow indication considering driver run tendency and roadway surface conditions.

    Science.gov (United States)

    Elhenawy, Mohammed; Jahangiri, Arash; Rakha, Hesham A; El-Shawarby, Ihab

    2015-10-01

    The ability to model driver stop/run behavior at signalized intersections considering the roadway surface condition is critical in the design of advanced driver assistance systems. Such systems can reduce intersection crashes and fatalities by predicting driver stop/run behavior. The research presented in this paper uses data collected from two controlled field experiments on the Smart Road at the Virginia Tech Transportation Institute (VTTI) to model driver stop/run behavior at the onset of a yellow indication for different roadway surface conditions. The paper offers two contributions. First, it introduces a new predictor related to driver aggressiveness and demonstrates that this measure enhances the modeling of driver stop/run behavior. Second, it applies well-known artificial intelligence techniques including: adaptive boosting (AdaBoost), random forest, and support vector machine (SVM) algorithms as well as traditional logistic regression techniques on the data in order to develop a model that can be used by traffic signal controllers to predict driver stop/run decisions in a connected vehicle environment. The research demonstrates that by adding the proposed driver aggressiveness predictor to the model, there is a statistically significant increase in the model accuracy. Moreover the false alarm rate is significantly reduced but this reduction is not statistically significant. The study demonstrates that, for the subject data, the SVM machine learning algorithm performs the best in terms of optimum classification accuracy and false positive rates. However, the SVM model produces the best performance in terms of the classification accuracy only.

  14. A decision model applied to alcohol effects on driver signal light behavior

    Science.gov (United States)

    Schwartz, S. H.; Allen, R. W.

    1978-01-01

    A decision model including perceptual noise or inconsistency is developed from expected value theory to explain driver stop and go decisions at signaled intersections. The model is applied to behavior in a car simulation and instrumented vehicle. Objective and subjective changes in driver decision making were measured with changes in blood alcohol concentration (BAC). Treatment levels averaged 0.00, 0.10 and 0.14 BAC for a total of 26 male subjects. Data were taken for drivers approaching signal lights at three timing configurations. The correlation between model predictions and behavior was highly significant. In contrast to previous research, analysis indicates that increased BAC results in increased perceptual inconsistency, which is the primary cause of increased risk taking at low probability of success signal lights.

  15. A comprehensive driver behavior model for the evaluation of intelligent intersections

    NARCIS (Netherlands)

    Schaap, Nina; Arem, van Bart

    2006-01-01

    Many traffic problems occur on urban intersections. Advanced Driver Assistance Systems aim to solve these problems. However, their effects cannot be deduced directly from observing normal driving behavior, because adding a system alters the driving task. A model must be used to represent both normal

  16. 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.

  17. Driver's Behavior and Decision-Making Optimization Model in Mixed Traffic Environment

    Directory of Open Access Journals (Sweden)

    Xiaoyuan Wang

    2015-02-01

    Full Text Available Driving process is an information treating procedure going on unceasingly. It is very important for the research of traffic flow theory, to study on drivers' information processing pattern in mixed traffic environment. In this paper, bicycle is regarded as a kind of information source to vehicle drivers; the “conflict point method” is brought forward to analyze the influence of bicycles on driving behavior. The “conflict” is studied to be translated into a special kind of car-following or lane-changing process. Furthermore, the computer clocked scan step length is dropped to 0.1 s, in order to scan and analyze the dynamic (static information which influences driving behavior in a more exact way. The driver's decision-making process is described through information fusion based on duality contrast and fuzzy optimization theory. The model test and verification show that the simulation results with the “conflict point method” and the field data are consistent basically. It is feasible to imitate driving behavior and the driver information fusion process with the proposed methods. Decision-making optimized process can be described more accurately through computer precision clocked scan strategy. The study in this paper can provide the foundation for further research of multiresource information fusion process of driving behavior.

  18. Measuring errors and violations on the road: a bifactor modeling approach to the Driver Behavior Questionnaire.

    Science.gov (United States)

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

    2015-01-01

    The Driver Behavior Questionnaire (DBQ) is a self-report measure of driving behavior that has been widely used over more than 20 years. Despite this wealth of evidence a number of questions remain, including understanding the correlation between its violations and errors sub-components, identifying how these components are related to crash involvement, and testing whether a DBQ based on a reduced number of items can be effective. We address these issues using a bifactor modeling approach to data drawn from the UK Cohort II longitudinal study of novice drivers. This dataset provides observations on 12,012 drivers with DBQ data collected at .5, 1, 2 and 3 years after passing their test. A bifactor model, including a general factor onto which all items loaded, and specific factors for ordinary violations, aggressive violations, slips and errors fitted the data better than correlated factors and second-order factor structures. A model based on only 12 items replicated this structure and produced factor scores that were highly correlated with the full model. The ordinary violations and general factor were significant independent predictors of crash involvement at 6 months after starting independent driving. The discussion considers the role of the general and specific factors in crash involvement.

  19. Modeling motivation and habit in driving behavior under lifetime driver's license revocation.

    Science.gov (United States)

    Tseng, Chien-Ming; Chang, Hsin-Li; Woo, T Hugh

    2013-03-01

    The purpose of the present study was to verify the motivational factors underlying the theory of planned behavior (TPB) predicting the driving behavior of lifetime driving license revoked offenders. Of a total of 639 drivers whose licenses had been permanently revoked, 544 offenders completed a questionnaire constructed to measure attitudes toward behaviors, subjective norms, perceived behavioral control, behavioral intentions (the key constructs of the TPB), and previous driving habit strength. The finding of the study revealed that an offenders' driving behavior after a lifetime license revocation was significantly correlated to behavioral intention (R=0.60, p<0.01), perceived behavioral control (R=0.61, p<0.01), previous driving habit (R=0.44, p<0.01), and attitude (R=0.41, p<0.01). There was no evidence that subjective norms including road regulation, society ethics, and people important to offenders had an influence on driving behavior (R=0.03). Low driving habit strength offenders are motivated to drive because of behavioral intention, whereas strong driving habit strength offenders are motivated to drive because of perceived behavioral control. Previous driving habit strength is a moderator in the intention-behavior relationship. The model appeared successful when previous habits were weak, but less successful when previous habits were strong.

  20. Event-Based Modeling of Driver Yielding Behavior to Pedestrians at Two-Lane Roundabout Approaches.

    Science.gov (United States)

    Salamati, Katayoun; Schroeder, Bastian J; Geruschat, Duane R; Rouphail, Nagui M

    2014-01-01

    Unlike other types of controlled intersections, drivers do not always comply with the "yield to pedestrian" sign at the roundabouts. This paper aims to identify the contributing factors affecting the likelihood of driver yielding to pedestrians at two-lane roundabouts. It further models the likelihood of driver yielding based on these factors using logistic regression. The models have been applied to 1150 controlled pedestrian crossings at entry and exit legs of two-lane approaches of six roundabouts across the country. The logistic regression models developed support prior research that the likelihood of driver yielding at the entry leg of roundabouts is higher than at the exit. Drivers tend to yield to pedestrians carrying a white cane more often than to sighted pedestrians. Drivers traveling in the far lane, relative to pedestrian location, have a lower probability of yielding to a pedestrian. As the speed increases the probability of driver yielding decreases. At the exit leg of the roundabout, drivers turning right from the adjacent lane have a lower propensity of yielding than drivers coming from other directions. The findings of this paper further suggest that although there has been much debate on pedestrian right-of-way laws and distinction between pedestrian waiting positions (in the street versus at the curb), this factor does not have a significant impact on driver yielding rate. The logistic regression models also quantify the effect of each of these factors on propensity of driver yielding. The models include variables which are specific to each study location and explain the impact size of each study location on probability of yielding. The models generated in this research will be useful to transportation professionals and researchers interested in understanding the factors that impact driver yielding at modern roundabouts. The results of the research can be used to isolate factors that may increase yielding (such as lower roundabout approach speeds

  1. Counterfactual simulations applied to SHRP2 crashes: The effect of driver behavior models on safety benefit estimations of intelligent safety systems.

    Science.gov (United States)

    Bärgman, Jonas; Boda, Christian-Nils; Dozza, Marco

    2017-05-01

    As the development and deployment of in-vehicle intelligent safety systems (ISS) for crash avoidance and mitigation have rapidly increased in the last decades, the need to evaluate their prospective safety benefits before introduction has never been higher. Counterfactual simulations using relevant mathematical models (for vehicle dynamics, sensors, the environment, ISS algorithms, and models of driver behavior) have been identified as having high potential. However, although most of these models are relatively mature, models of driver behavior in the critical seconds before a crash are still relatively immature. There are also large conceptual differences between different driver models. The objective of this paper is, firstly, to demonstrate the importance of the choice of driver model when counterfactual simulations are used to evaluate two ISS: Forward collision warning (FCW), and autonomous emergency braking (AEB). Secondly, the paper demonstrates how counterfactual simulations can be used to perform sensitivity analyses on parameter settings, both for driver behavior and ISS algorithms. Finally, the paper evaluates the effect of the choice of glance distribution in the driver behavior model on the safety benefit estimation. The paper uses pre-crash kinematics and driver behavior from 34 rear-end crashes from the SHRP2 naturalistic driving study for the demonstrations. The results for FCW show a large difference in the percent of avoided crashes between conceptually different models of driver behavior, while differences were small for conceptually similar models. As expected, the choice of model of driver behavior did not affect AEB benefit much. Based on our results, researchers and others who aim to evaluate ISS with the driver in the loop through counterfactual simulations should be sure to make deliberate and well-grounded choices of driver models: the choice of model matters. Copyright © 2017 Elsevier Ltd. All rights reserved.

  2. 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.

  3. Testing the effects of safety climate and disruptive children behavior on school bus drivers performance: A multilevel model.

    Science.gov (United States)

    Zohar, Dov; Lee, Jin

    2016-10-01

    The study was designed to test a multilevel path model whose variables exert opposing effects on school bus drivers' performance. Whereas departmental safety climate was expected to improve driving safety, the opposite was true for in-vehicle disruptive children behavior. The driving safety path in this model consists of increasing risk-taking practices starting with safety shortcuts leading to rule violations and to near-miss events. The study used a sample of 474 school bus drivers in rural areas, driving children to school and school-related activities. Newly developed scales for measuring predictor, mediator and outcome variables were validated with video data taken from inner and outer cameras, which were installed in 29 buses. Results partially supported the model by indicating that group-level safety climate and individual-level children distraction exerted opposite effects on the driving safety path. Furthermore, as hypothesized, children disruption moderated the strength of the safety rule violation-near miss relationship, resulting in greater strength under high disruptiveness. At the same time, the hypothesized interaction between the two predictor variables was not supported. Theoretical and practical implications for studying safety climate in general and distracted driving in particular for professional drivers are discussed. Copyright © 2016 Elsevier Ltd. All rights reserved.

  4. 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.

  5. Bridging Models and Business: Understanding heterogeneity in hidden drivers of customer purchase behavior

    NARCIS (Netherlands)

    E. Korkmaz (Evsen)

    2014-01-01

    markdownabstract__Abstract__ Recent years have seen many advances in quantitative models in the marketing literature. Even though these advances enable model building for a better understanding of customer purchase behavior and customer heterogeneity such that firms develop optimal targeting and pr

  6. Bridging Models and Business: Understanding heterogeneity in hidden drivers of customer purchase behavior

    NARCIS (Netherlands)

    E. Korkmaz (Evsen)

    2014-01-01

    markdownabstract__Abstract__ Recent years have seen many advances in quantitative models in the marketing literature. Even though these advances enable model building for a better understanding of customer purchase behavior and customer heterogeneity such that firms develop optimal targeting and

  7. From Behavioral Psychology to Acceleration Modeling: Calibration, Validation, and Exploration of Drivers Cognitive and Safety Parameters in a Risk-Taking Environment

    CERN Document Server

    Hamdar, Samer H; Treiber, Martin

    2014-01-01

    We investigate a utility-based approach for driver car-following behavioral modeling while analyzing different aspects of the model characteristics especially in terms of capturing different fundamental diagram regions and safety proxy indices. The adopted model came from an elementary thought where drivers associate subjective utilities for accelerations (i.e. gain in travel times) and subjective dis-utilities for decelerations (i.e. loss in travel time) with a perceived probability of being involved in rear-end collision crashes. Following the testing of the model general structure, the authors translate the corresponding behavioral psychology theory - prospect theory - into an efficientmicroscopic traffic modeling with more elaborate stochastic characteristics considered in a risk-taking environment. The formulated model offers a better understanding of drivers behavior, particularly under extreme/incident conditions.

  8. Effects of driver behavior style differences and individual differences on driver sleepiness detection

    Directory of Open Access Journals (Sweden)

    Keyong Li

    2015-04-01

    Full Text Available Driving sleepiness is still a major causes of traffic accidents. Individual drivers, under various conditions, act and respond in different manners. This article presents the attempt of a straight-line driving simulator study that examined the effects of driver behavior style differences and individual differences on driver sleepiness detection which is based on driving performance measures. A total of 15 drivers who were classified into two categories through subjective assessment based on a Driver Behavior Questionnaire participated in driving simulator experiments. A total of 18 detection models, including 15 SE models for each subject, an A model for the aggressive drivers, an NA model for the non-aggressive drivers, and a G model for all experiment participants, were developed using support vector machine method based on driving performance characteristic parameters. The results show that the G model is not suitable for all drivers due to its lower mean accuracy of 69.88% (standard deviation = 7.70% and higher standard deviation. The SE models for each subject show the best detection accuracy performance of 84.26% (standard deviation = 5.38%; however, it is impossible to set up a special detection model for every individual driver. The SD models on different style categories show an accuracy value of 77.54% (standard deviation = 5.78%. The results demonstrate that driver style differences as well as individual differences have great effects on driver sleepiness detection (F = 19.148, p < 0.000.

  9. Support Vector Machine for Behavior-Based Driver Identification System

    OpenAIRE

    Huihuan Qian; Yongsheng Ou; Xinyu Wu; Xiaoning Meng; Yangsheng Xu

    2010-01-01

    We present an intelligent driver identification system to handle vehicle theft based on modeling dynamic human behaviors. We propose to recognize illegitimate drivers through their driving behaviors. Since human driving behaviors belong to a dynamic biometrical feature which is complex and difficult to imitate compared with static features such as passwords and fingerprints, we find that this novel idea of utilizing human dynamic features for enhanced security applicat...

  10. Examining driver behavior at the onset of yellow in a traffic simulator environment: Comparisons between random parameters and latent class logit models.

    Science.gov (United States)

    Savolainen, Peter T

    2016-11-01

    This study involves an examination of driver behavior at the onset of a yellow signal indication. Behavioral data were obtained from a driving simulator study that was conducted through the National Advanced Driving Simulator (NADS) laboratory at the University of Iowa. These data were drawn from a series of events during which study participants drove through a series of intersections where the traffic signals changed from the green to yellow phase. The resulting dataset provides potential insights into how driver behavior is affected by distracted driving through an experimental design that alternated handheld, headset, and hands-free cell phone use with "normal" baseline driving events. The results of the study show that male drivers ages 18-45 were more likely to stop. Participants were also more likely to stop as they became more familiar with the simulator environment. Cell phone use was found to some influence on driver behavior in this setting, though the effects varied significantly across individuals. The study also demonstrates two methodological approaches for dealing with unobserved heterogeneity across drivers. These include random parameters and latent class logit models, each of which analyze the data as a panel. The results show each method to provide significantly better fit than a pooled, fixed parameter model. Differences in terms of the context of these two approaches are discussed, providing important insights as to the differences between these modeling frameworks.

  11. 基于SEM的驾驶员出行信息搜寻行为分析%Drivers' Travel Information Searching Behavior Study with Structural Equation Modeling

    Institute of Scientific and Technical Information of China (English)

    魏雪梅; 戢晓峰; 陈方

    2012-01-01

    出行信息的搜寻与获取是驾驶员出行决策的重要依据.为获取驾驶员的出行信息搜寻行为特征,以昆明市412个样本数据库为基础,建立驾驶员出行信息搜寻行为的因果和过程结构方程模型( SEM),并拟合各变量之间的路径关系.其中,驾驶员出行信 息搜寻的因果结构方程模型重点分析个体属性、信息源因素及环境因素与搜寻行为之间的关系;驾驶员出行信息搜寻的过程结构方程模型则模拟驾驶员的出行信息搜寻过程.结果表明:驾驶员由于自身属性的不同在信息源与搜寻行为上存在显著差异,搜寻行为中驾驶员对出行信息的认知及信息源的选择是重要的影响因素.此外,驾驶员出行信息搜寻过程模型主要受到个体属性与信息需求的影响.%Searching and collecting travel information is important for drivers to make travel decisions. To get the characteristics of drivers' travel information searching behaviors, the paper takes an example of Kunming with 412 samples. Two structural equation models (SEM) are developed to explore the path relationships between various variables. First, the mechanism of interaction among personal attribute, information origin factor, environment factor and searching behavior of car drivers are presented. Second, the searching behavior of car drivers is simulated. The results indicate the distinctions between different information origin and searching behavior which result from various car drivers' attributes. The driver' s searching behavior is significantly influenced by the cognition of travel information and the choice of information origin. Moreover, the process model of the searching behavior of drivers is affected by drivers' attributes and travel information demand.

  12. Research on Driver Behavior in Yellow Interval at Signalized Intersections

    Directory of Open Access Journals (Sweden)

    Zhaosheng Yang

    2014-01-01

    Full Text Available Vehicles are often caught in dilemma zone when they approach signalized intersections in yellow interval. The existence of dilemma zone which is significantly influenced by driver behavior seriously affects the efficiency and safety of intersections. This paper proposes the driver behavior models in yellow interval by logistic regression and fuzzy decision tree modeling, respectively, based on camera image data. Vehicle’s speed and distance to stop line are considered in logistic regression model, which also brings in a dummy variable to describe installation of countdown timer display. Fuzzy decision tree model is generated by FID3 algorithm whose heuristic information is fuzzy information entropy based on membership functions. This paper concludes that fuzzy decision tree is more accurate to describe driver behavior at signalized intersection than logistic regression model.

  13. Evaluating Urban Parking Policies with Agent-Based Model of Driver Parking Behavior

    NARCIS (Netherlands)

    Martens, C.J.C.M.; Benenson, I.

    2008-01-01

    This paper presents an explicit agent-based model of parking search in a city. In the model, “drivers” drive toward their destination, search for parking, park, remain at the parking place, and leave. The city’s infrastructure is represented by a high-resolution geographic information system (GIS) o

  14. Evaluating Urban Parking Policies with Agent-Based Model of Driver Parking Behavior

    NARCIS (Netherlands)

    Martens, C.J.C.M.; Benenson, I.

    2008-01-01

    This paper presents an explicit agent-based model of parking search in a city. In the model, “drivers” drive toward their destination, search for parking, park, remain at the parking place, and leave. The city’s infrastructure is represented by a high-resolution geographic information system (GIS) o

  15. Driver behavior at urban roads in China

    NARCIS (Netherlands)

    Li, J.; van Zuylen, H.J.; van der Horst, E.

    2014-01-01

    Driver behavior in China shows remarkable differences from that in western countries. In this study, six focus groups were organized to investigate Chinese drivers’ attitudes, expectations, intended actions, their preferences, and habits in different situations in urban areas. The outcomes show that

  16. Modeling of Driver's Adaptive Control Behavior for Vehicle Direction%驾驶员对汽车方向的自适应控制行为建模

    Institute of Scientific and Technical Information of China (English)

    段立飞; 高振海; 王德平

    2011-01-01

    An adaptive directional control driver model is established to simulate the driver's learning behavior about vehicle dynamic characteristic.Drivers are divided into eligible group and professional group according to their directional control skill.During the learning process, novice drivers will have a basic understanding of vehicle dynamics after low speed slow steering training, so they can proficiently control the vehicle at low speed range.A direction control model based on genetic algorithm offline tuning is built to simulate this learning process from a novice driver to an eligible driver in light of the characteristics of driver's control behavior at low speed range.The dynamic response of vehicle shows a strong nonlinear property when the lateral acceleration or the speed is high,eligible drivers need to gather the driving experience at high speed range to control the vehicle skillfully, finally becoming an expert driver.So, for strong nonlinear characteristic of the vehicle at high speed, neural network online tuning is added to the original model to simulate learning process from an eligible driver to a professional driver under high-speed condition.The simulation results of model are well consistent with the behavior of real driver.%模拟驾驶员在驾驶学习过程中对汽车动力学特性的学习行为,建立汽车驾驶员对汽车方向的自适应控制行为模型.根据驾驶员对汽车方向控制的熟练程度,将驾驶员分为合格驾驶员和专业驾驶员.在驾驶学习过程中,新手驾驶员经过低速缓慢转向工况的反复学习和训练后对汽车动力学特性有基本的了解,可以在低速线性区内熟练地控制汽车.考虑低速区内驾驶员控制行为的特点,建立基于遗传算法离线整定的方向控制模型模拟新手驾驶员成为合格驾驶员的过程.当车速较高或侧向加速度很大时,车辆动态响应具有明显的强非线性特性,合格驾驶员需要经过高速驾

  17. Social desirability effects in driver behavior inventories.

    Science.gov (United States)

    Af Wåhlberg, A E

    2010-04-01

    The use of lie scales to control for common method variance in driver behavior inventories has been very limited. Given that such questionnaires often use self-reported safety variables as criteria, and have social implications, the risk of artefactual associations is high. A questionnaire containing scales from several well known driver inventories that have been claimed to predict traffic accident involvement was distributed three times to a group of young drivers in a driver education program, as well as a random group twice. The Driver Impression Management scale (DIM) was used to control for socially desirable responding. For all behavior scales, the correlation with the DIM scale was substantial. If a scale correlated with self-reported crashes, the amount of predictive power was more than halved when social desirability was controlled for. Results were similar for both samples and all waves. The predictive power of the behavior scales was not increased when values were averaged over questionnaire waves, as should have been the case if the measurement and predictive power were valid. Results were similar for self-reported penalty points. The present results indicate that even the most well-known and accepted psychometric scales used in driver research are susceptible to social desirability bias. As social desirability is only one of a number of common method variance mechanisms that can create artefactual associations, and the great popularity of the self-report methodology, the problem for traffic research is grave. Organizations that fund traffic safety research need to re-evaluate their policies regarding what methods are acceptable. The use of self-reported independent and dependent variables can lead to directly misleading results, with negative effects on traffic safety. Copyright 2010 National Safety Council and Elsevier Ltd. All rights reserved.

  18. Driver behavior following an automatic steering intervention.

    Science.gov (United States)

    Fricke, Nicola; Griesche, Stefan; Schieben, Anna; Hesse, Tobias; Baumann, Martin

    2015-10-01

    The study investigated driver behavior toward an automatic steering intervention of a collision mitigation system. Forty participants were tested in a driving simulator and confronted with an inevitable collision. They performed a naïve drive and afterwards a repeated exposure in which they were told to hold the steering wheel loosely. In a third drive they experienced a false alarm situation. Data on driving behavior, i.e. steering and braking behavior as well as subjective data was assessed in the scenarios. Results showed that most participants held on to the steering wheel strongly or counter-steered during the system intervention during the first encounter. Moreover, subjective data collected after the first drive showed that the majority of drivers was not aware of the system intervention. Data from the repeated drive in which participants were instructed to hold the steering wheel loosely, led to significantly more participants holding the steering wheel loosely and thus complying with the instruction. This study seems to imply that without knowledge and information of the system about an upcoming intervention, the most prevalent driving behavior is a strong reaction with the steering wheel similar to an automatic steering reflex which decreases the system's effectiveness. Results of the second drive show some potential for countermeasures, such as informing drivers shortly before a system intervention in order to prevent inhibiting reactions.

  19. Modeling drivers' passing duration and distance in a virtual environment

    Directory of Open Access Journals (Sweden)

    Haneen Farah

    2013-07-01

    The main contribution of this paper is in the empirical models developed for passing duration and distance which highlights the factors that affect drivers' passing behavior and can be used to enhance the passing models in simulation programs.

  20. A Driver Behavior Learning Framework for Enhancing Traffic Simulation

    Directory of Open Access Journals (Sweden)

    Ramona Maria Paven

    2014-06-01

    Full Text Available Traffic simulation provides an essential support for developing intelligent transportation systems. It allows affordable validation of such systems using a large variety of scenarios that involves massive data input. However, realistic traffic models are hard to be implemented especially for microscopic traffic simulation. One of the hardest problems in this context is to model the behavior of drivers, due the complexity of human nature. The work presented in this paper proposes a framework for learning driver behavior based on a Hidden Markov Model technique. Moreover, we propose also a practical method to inject this behavior in a traffic model used by the SUMO traffic simulator. To demonstrate the effectiveness of this method we present a case study involving real traffic collected from Timisoara city area.

  1. 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.

  2. THE DIFFERENCES OF DRIVING BEHAVIOR AMONG DIFFERENT DRIVER AGE GROUPS AT SIGNALIZED INTERSECTIONS

    Directory of Open Access Journals (Sweden)

    Jian John LU, Ph.D., P.E.

    2000-01-01

    Full Text Available Over the past few years the population of older drivers has substantially increased across the United States. Older drivers are a group of special interest because of their potential age-related deficiencies. It is essential to understand their driving behavior and adjust the conditions of roadway systems according to their requirements. Likewise, driving behavior of older drivers needs to be considered in order to adequately estimate capacities at intersections. In the past few years, research projects were performed by the University of South Florida to analyze the differences of driving behavior among different driver age groups. Typically, the driving behavior of older drivers was evaluated by analyzing their start-up lost time and saturation headway at signalized intersections as compared to young and mid-age driver groups. Research results were based on data collected from signalized intersections with different land-use types. These intersections are located in west and central Florida where the elderly population has been increasing rapidly in recent years. From the results it was found that the presence of older drivers significantly reduced intersection capacity at all study sites because of their higher lost times and lower saturation flow rates. Therefore, driving behavior of older drivers should be considered in designing intersections located in places with a significant older driver population. In the research, models were developed to predict start-up lost time and saturation headway values generated by older drivers. Then, the variation in capacities with an increasing percentage of older drivers in the traffic stream was modeled. Finally, adjustment factors for different percentages of older drivers were developed to adjust intersection capacity. These factors are believed to account for the presence of older drivers in the traffic stream. The adjustment factors may be used in capacity analysis and design procedures for

  3. Modeling individual and collective opinion in online social networks: drivers of choice behavior and effects of marketing interventions

    NARCIS (Netherlands)

    Koster, S.E.; Langley, D.J.

    2013-01-01

    We investigate factors influencing choice behavior in online social networks. We use twitter data from a Dutch television talent show. In study one, we implement a nested conditional logit model with latent classes. We find heterogeneous effects. For two latent classes, cognitive factors most strong

  4. Driver models for personalised driving assistance

    Science.gov (United States)

    Lefèvre, Stéphanie; Carvalho, Ashwin; Gao, Yiqi; Tseng, H. Eric; Borrelli, Francesco

    2015-12-01

    We propose a learning-based driver modelling approach which can identify manoeuvres performed by drivers on the highway and predict the future driver inputs. We show how this approach can be applied to provide personalised driving assistance. In a first example, the driver model is used to predict unintentional lane departures and a model predictive controller is used to keep the car in the lane. In a second example, the driver model estimates the preferred acceleration of the driver during lane keeping, and a model predictive controller is implemented to provide a personalised adaptive cruise control. For both applications, we use a combination of real data and simulation to evaluate the proposed approaches.

  5. 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 by...... driving behaviors, and vice versa. The present findings highlight the need to look into driver’s attitudes towards safety, and to devise differential interventions targeting specific problematic groups of the population in the attempt to improve road safety nationwide....

  6. 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...... 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...... 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...

  7. Modelling Driver Assitance Systems by Optimal Control

    OpenAIRE

    Wang, M.; Daamen, W.; Hoogendoorn, S.P.; Van Arem, B.

    2012-01-01

    Driver assistance systems support drivers in operating vehicles in a safe, comfortable and efficient way, and thus may induce changes in traffic flow characteristics. This paper put forward a receding horizon control framework to model driver assistance systems. The accelerations of automated vehicles are determined to optimise a cost function, assuming other vehicles driving at stationary conditions over a prediction horizon. The flexibility of the framework is demonstrated with controller d...

  8. Approaches of truck drivers and non-truck drivers toward reckless on-road behavior.

    Science.gov (United States)

    Rosenbloom, Tova; Eldror, Ehud; Shahar, Amit

    2009-07-01

    The purpose of the study was to compare the reported approaches of truck drivers to those of non-truck drivers toward reckless on-road behaviors. One hundred and sixty-seven adult males, including 70 non-truck drivers, completed the questionnaires voluntarily. The truck drivers were employees of a concrete manufacturing company working at various company plants throughout Israel. Seventy were professional mixer truckers and 27 were tip-truckers. The participants completed the Reckless Driving Self-Report Scale based on Taubman Ben-Ari et al. [Taubman Ben-Ari, O., Florian, V., Mikulincer, M., 1999. The impact of mortality salience on reckless driving: a test of terror management mechanisms. Journal of Personality and Social Psychology 76, 35-45], adapted for truck drivers for this study. It was expected that non-professional, as compared to professional (truck) drivers, would be more permissive regarding reckless driving, since driving risks are less prominent in their daily driving experience. An ANOVA performed on mean reckless-driving scores yielded significant results. The post hoc Schéffe test indicated significantly higher reckless-driving scores for automobile drivers as compared to both mixer-truck driver scores and tip-truck driver scores. In addition, the reckless-driving scores for mixer-truck drivers were significantly higher than the tip-truck driver scores. We discuss various explanations for the findings and consider possible implications for training strategies in organizations as well as for media campaigns focused on mutual safe road use of truck drivers and private vehicle drivers.

  9. Measurement invariance of the Driver Behavior Questionnaire across samples of young drivers from Finland and Ireland.

    Science.gov (United States)

    Mattsson, Markus; Fearghal, O'Brien; Lajunen, Timo; Gormley, Michael; Summala, Heikki

    2015-05-01

    This article investigates the factor structure of the 27-item Driver Behavior Questionnaire (DBQ) in two samples of young drivers (18-25 years of age); one from Finland and the other from Ireland. We compare the two-, three-, and four-factor solutions using Confirmatory Factor Analysis (CFA) and show that the four-factor model (with the latent variables rule violations, aggressive violations, slips and lapses) fits the data from the two countries best. Next, we compare the fit of this model across samples by the means of a measurement invariance analysis in the CFA framework. The analysis shows that the four-factor model fails to fit both samples equally well. This is mainly because the socially-oriented latent variables (rule violations and aggressive violations) are different in nature in the two samples. The cognitively-oriented latent variables (slips and lapses) are, however, similar across countries and the mean values of slips can be compared using latent variable models. However, the common practice of calculating sum scores to represent the four latent DBQ variables and comparing them across subgroups of respondents is unfounded, at least when comparing young respondents from Finland and Ireland.

  10. Discriminating Drivers through Human Factor and Behavioral Difference

    Directory of Open Access Journals (Sweden)

    Ju Seok Oh

    2011-05-01

    Full Text Available Since Greenwood and Woods' (1919 study in tendency of accident, many researchers have insisted that various human factors (sensation seeking, anger, anxiety are highly correlated with reckless driving and traffic accidents. Oh and Lee (2011 designed the Driving Behavior Determinants Questionnaire, a psychological tool to predict danger level of drivers and discriminate them into three groups (normal, unintentionally reckless, and intentionally reckless by their characteristics, attitude, and expected reckless behavior level. This tool's overall accuracy of discrimination was 70%. This study aimed to prove that the discrimination reflects the behavioral difference of drivers. Twenty-four young drivers were requested to react to the visual stimuli (tests for subjective speed sense, simple visual reaction time, and left turning at own risk. The results showed no differences in subjective speed sense among the driver groups, which means drivers' excessive speeding behaviors occur due to intention based on personality and attitude, not because of sensory disorders. In addition, there were no differences in simple reaction time among driver groups. However, the results of the ‘Left turning at drivers’ own risk task” revealed significant group differences. All reckless drivers showed a greater degree of dangerous left turning behaviors than the normal group did.

  11. Anticipating the Environmental Impacts and Behavioral Drivers of Deep Decarbonization

    Science.gov (United States)

    EPA is seeking regular and early career applications proposing research that will contribute to an improved ability to understand and anticipate the public health and environmental impacts and behavioral drivers of significant changes in energy consumption

  12. 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.)

  13. Evidence that implementation intentions reduce drivers' speeding behavior: testing a new intervention to change driver behavior.

    Science.gov (United States)

    Brewster, Sarah E; Elliott, Mark A; Kelly, Steve W

    2015-01-01

    Implementation intentions have the potential to break unwanted habits and help individuals behave in line with their goal intentions. We tested the effects of implementation intentions in the context of drivers' speeding behavior. A randomized controlled design was used. Speeding behavior, goal intentions and theoretically derived motivational pre-cursors of goal intentions were measured at both baseline and follow-up (one month later) using self-report questionnaires. Immediately following the baseline questionnaire, the experimental (intervention) group (N=117) specified implementation intentions using a volitional help sheet, which required the participants to link critical situations in which they were tempted to speed with goal-directed responses to resist the temptation. The control group (N=126) instead received general information about the risks of speeding. In support of the hypotheses, the experimental group reported exceeding the speed limit significantly less often at follow-up than did the control group. This effect was specific to 'inclined abstainers' (i.e., participants who reported speeding more than they intended to at baseline and were therefore motivated to reduce their speeding) and could not be attributed to any changes in goal intentions to speed or any other measured motivational construct. Also in line with the hypotheses, implementation intentions attenuated the past-subsequent speeding behavior relationship and augmented the goal intention - subsequent speeding behavior relationship. The findings imply that implementation intentions are effective at reducing speeding and that they do so by weakening the effect of habit, thereby helping drivers to behave in accordance with their existing goal intentions. The volitional help sheet used in this study is an effective tool for promoting implementation intentions to reduce speeding.

  14. Design of an Integrated Vehicle Chassis Control System with Driver Behavior Identification

    OpenAIRE

    Bing Zhu; Yizhou Chen; Jian Zhao; Yunfu Su

    2015-01-01

    An integrated vehicle chassis control strategy with driver behavior identification is introduced in this paper. In order to identify the different types of driver behavior characteristics, a driver behavior signals acquisition system was established using the dSPACE real-time simulation platform, and the driver inputs of 30 test drivers were collected under the double lane change test condition. Then, driver behavior characteristics were analyzed and identified based on the preview optimal cu...

  15. An Overview on Study of Identification of Driver Behavior Characteristics for Automotive Control

    OpenAIRE

    Na Lin; Changfu Zong; Masayoshi Tomizuka; Pan Song; Zexing Zhang; Gang Li

    2014-01-01

    Driver characteristics have been the research focus for automotive control. Study on identification of driver characteristics is provided in this paper in terms of its relevant research directions and key technologies involved. This paper discusses the driver characteristics based on driver’s operation behavior, or the driver behavior characteristics. Following the presentation of the fundamental of the driver behavior characteristics, the key technologies of the driver behavior characteristi...

  16. Investigating the self-reported behavior of drivers and their attitudes to traffic violations.

    Science.gov (United States)

    Vardaki, Sophia; Yannis, George

    2013-09-01

    Driving behavior theoretical models consider attitudes as an important determinant of driver behavior. Moreover, the association between the self-reported tendency to commit violations and accident involvement is widely recognized. This research investigates drivers' self-reported behavior and attitudes to risky behaviors related to the traffic violations of speeding, drink-driving, and cell phone use using cluster analysis. A sample of 601 Greek drivers participating at the SARTRE 4 pan-European survey is utilized. The analysis identified three clusters of drivers. Drivers in Cluster 1 commit traffic violations more often; drivers in Cluster 2 favor traffic violation countermeasures while having moderate views toward compliance with traffic rules; and drivers in Cluster 3 strongly support traffic violation countermeasures and also have strong views toward compliance with traffic rules. Risky behaviors and related attitudes that differentiate the three distinct groups of drivers (clusters) were determined. The findings indicate that differences in attitudes and behaviors may be attributed to factors such as age, gender, and area of residence. The research findings also provided some insight about the current level of drivers' attitudes to traffic violations, especially those that negatively affect traffic safety. The pattern of their views on violations may form the basis of risk behavior-related interventions tailored to the identified groups, aiming at informing, educating, and raising the awareness of the public. Agencies focused on safety interventions could exploit this information in designing and implementing education campaigns, enforcement programs and in defining relevant priorities. Copyright © 2013 National Safety Council and Elsevier Ltd. All rights reserved.

  17. Fuzzy Decision Tree Model for Driver Behavior Confronting Yellow Signal at Signalized Intersection%交叉口黄灯期间驾驶员行为的模糊决策树模型

    Institute of Scientific and Technical Information of China (English)

    龙科军; 赵文秀; 肖向良

    2011-01-01

    Drivers decision to go or stop during the yellow interval belongs to uncertain decision making. This paper collects drivers behavior data at four similar intersections. Fuzzy Decision Tree(FDT) is applied to model driver behavior at signalized intersection. Considering vehicle location,velocity and countdown timer as the influencing factors, the FDT model is constructed using FID3 algorithm, and decision roles are generated as well. Test sample is applied to test FDT model, and results indicate that FDT model can predict drivers' decision with overall accuracy of 84.8%.%采集黄灯期间驾驶员行为的相关数据,考虑车辆位置、车速、倒计时表3个影响因素,分别设定其隶属度函数,应用模糊决策树中的FID3算法,以模糊信息熵为启发信息,构建驾驶员选择的模糊决策树模型,生成决策规则.利用测试样本对模型进行检验,结果表明,基于模糊决策树的预测结果准确率总体达到84.8%.

  18. Peer pressure and risk taking in young drivers' speeding behavior

    OpenAIRE

    GHEORGHIU, Alexandra; DELHOMME, Patricia; FELONNEAU, Marie Line

    2015-01-01

    Although many countermeasures have been implemented in Europe, young drivers continue to have a high rate of involvement in car crashes. Their crash rate is higher in presence of peer passengers than when driving alone. Peer presence could contribute toward explaining this involvement, especially regarding speeding. Peers are known to often influence young drivers' risky behaviors through proximal (direct and indirect active pressures) and distal (passive pressure) forms of int...

  19. Subjective experienced health as a driver of health care behavior

    NARCIS (Netherlands)

    Bloem, S.; Stalpers, J.

    2012-01-01

    This paper describes the key role of the subjective experience of health as the driver of health related behavior. Individuals vary greatly in terms of behaviors related to health. Insights into these interindividual differences are of great importance for all parties involved in health care, includ

  20. 仿人小脑神经网络结构的驾驶员方向控制行为建模%Modeling of Driver's Directional Control Behavior with Cerebellar Model Articulation Controller

    Institute of Scientific and Technical Information of China (English)

    高振海; 段立飞

    2012-01-01

    After analyzing the characteristics of driver movement control behavior, a humanoid cerebellum neural network control model for driver's directional control behavior is established with cerebellar model articulation controller to conduct the control error correction on conventional differential correction model. The results of simulation under different vehicle speed, road geometry and adhesion coefficients show that the control algorithm proposed has high path tracking accuracy as well as the adaptability and robustness to the dynamic uncertainty factors in vehicle speed and road conditions%在分析驾驶员的运动控制行为特性基础上,仿照人小脑神经网络结构,建立了驾驶员对汽车方向控制行为的小脑神经网络控制模型,以此对传统的微分校正模型进行控制误差修正.在不同车速、路形和路面附着系数下的仿真结果表明,所提出的控制算法有高的路径跟踪精度,且对车速和道路状况等汽车行驶过程中的动态不确定性因素具有较强的适应性和鲁棒性.

  1. Aberrant Behaviors and Road Accidents among Iranian Truck Drivers, 2010

    Directory of Open Access Journals (Sweden)

    Amir Houshang Mehrparvar

    2011-12-01

    Full Text Available structural dimensions of which as well as technologic failures such as road quality, and tech-nical faults of automobiles, need to be assessed in detail. Iran has the first order in the world for deadly road accidents. This study was designed to assess the association between aberrant behaviors of truck drivers and the incidence of road accidents in Yazd, center of Iran, in 2010.Methods: This cross-sectional descriptive-analytic study was conducted on 300 truck drivers in Yazd. We used 3 questionnaires, including one for demographic data, Driver Behavior Questionnaire (DBQ, and one for drivers' self-evaluation of the of their driving.Results: Five types of the behavior had the highest frequency: Misjudge speed of oncoming vehicle when overtaking.; Deliberately disregard the speed limits late at night or very early in the morning.; Ignore 'give way' signs, and narrowly avoid colliding with traffic having right of way.; Stuck behind a slow-moving vehicle on a two-lane highway, you are driven by frustration to try to overtake in risky circumstances.; Drive with only 'half-an-eye' on the road while looking at a map, changing a cassette or radio channel, etc. The more the driver's driv-ing was influenced by emotional and mental states the more deliberate violations and slips.Conclusion: Among truck drivers, safety has not developed sufficiently, and because of the dangers of road accidents both for the drivers and other people and its economic losses, the importance of the presenting some solutions is completely obvious.

  2. Impact of road environment on drivers' behaviors in dilemma zone: Application of agent-based simulation.

    Science.gov (United States)

    Kim, Sojung; Son, Young-Jun; Chiu, Yi-Chang; Jeffers, Mary Anne B; Yang, C Y David

    2016-11-01

    At a signalized intersection, there exists an area where drivers become indecisive as to either stop their car or proceed through when the traffic signal turns yellow. This point, called a dilemma zone, has remained a safety concern for drivers due to the great possibility of a rear-end or right-angle crash occurring. In order to reduce the risk of car crashes at the dilemma zone, Institute of Transportation Engineers (ITE) recommended a dilemma zone model. The model, however, fails to provide precise calculations on the decision of drivers because it disregards the supplemental roadway information, such as whether a red light camera is present. Hence, the goal of this study was to incorporate such roadway environmental factors into a more realistic driver decision-making model for the dilemma zone. A driving simulator was used to determine the influence of roadway conditions on decision-making of real drivers. Following data collection, each driver's decision outcomes were implemented in an Agent-Based Simulation (ABS) so as to analyze behaviors under realistic road environments. The experimental results revealed that the proposed dilemma zone model was able to accurately predict the decisions of drivers. Specifically, the model confirmed the findings from the driving simulator study that the changes in the roadway environment reduced the number of red light violations at an intersection.

  3. 基于计划行为理论的驾驶行为模型研究%Study of Driver Behavior Model Based on Theory of Planned Behavior

    Institute of Scientific and Technical Information of China (English)

    苑风霞; 蹇小平; 司志远

    2014-01-01

    It came up with the driver behavior predictive model and obtained the model parameter estima-tion in this paper .Comparative analysis showed that the attitudes of driving have greater impact on viola-tions,dangerous errors and psychological precursors ,the psychological precursors also acts on violations which were not considered in the predictive model .It analyzed the fit index of the model ,and concluded that the model fitted good in this paper .In the future ,the students′safety awareness should be focused in driver training ,the content and form of the training also need to improve .%提出了驾驶行为的预测模型,并对所构建的模型进行参数估计。通过比较分析可知驾驶态度对违规、危险性错误及心理前提条件影响较大。另外,心理前提条件对违规的影响也较大,这是预测模型所没有考虑到的。对模型的拟合指数进行分析,通过分析可知模型拟合情况良好。在今后的驾驶培训过程中,要注重学员安全意识的培养,还需在教学内容和教育形式上有所改进。

  4. Aggregate driver model to enable predictable behaviour

    Science.gov (United States)

    Chowdhury, A.; Chakravarty, T.; Banerjee, T.; Balamuralidhar, P.

    2015-09-01

    The categorization of driving styles, particularly in terms of aggressiveness and skill is an emerging area of interest under the broader theme of intelligent transportation. There are two possible discriminatory techniques that can be applied for such categorization; a microscale (event based) model and a macro-scale (aggregate) model. It is believed that an aggregate model will reveal many interesting aspects of human-machine interaction; for example, we may be able to understand the propensities of individuals to carry out a given task over longer periods of time. A useful driver model may include the adaptive capability of the human driver, aggregated as the individual propensity to control speed/acceleration. Towards that objective, we carried out experiments by deploying smartphone based application to be used for data collection by a group of drivers. Data is primarily being collected from GPS measurements including position & speed on a second-by-second basis, for a number of trips over a two months period. Analysing the data set, aggregate models for individual drivers were created and their natural aggressiveness were deduced. In this paper, we present the initial results for 12 drivers. It is shown that the higher order moments of the acceleration profile is an important parameter and identifier of journey quality. It is also observed that the Kurtosis of the acceleration profiles stores major information about the driving styles. Such an observation leads to two different ranking systems based on acceleration data. Such driving behaviour models can be integrated with vehicle and road model and used to generate behavioural model for real traffic scenario.

  5. Can We Model Driver Perceptions? An In-Situ Experiment in Real-World Conditions

    Directory of Open Access Journals (Sweden)

    Aly M. Tawfik, PhD

    2014-06-01

    Full Text Available It is clear that perceptions play a significant role in traveler decisions. Consequently, traveler perceptions are a corner stone in the feasibility of traveler information systems; for traveler information systems are only valuable if the drivers are incapable of accurately acquiring the provided information on their own, and if the provided information is relevant for the drivers' decision criteria. Accuracy of traveler perceptions has been repeatedly researched in public transportation, and has been found to vary according to different reasons. However, in spite of the clear significance of traveler perceptions, minimal effort has been put into modeling it. Almost all travel behavior models are based on traveler experiences, which are assumed to reflect traveler perceptions via the addition of some random error component. This works introduces an alternative approach: instead of adding an error component to represent driver perceptions, it proposes to model driver perceptions. This work is based on a real-world route choice experiment of a sample of 20 drivers who made more than 2,000 real-world route choices. Each of the drivers' experiences, perceptions, and choices were recorded, analyzed and cross examined. The paper demonstrates that: i driver experiences are different from driver perceptions, ii driver perceptions explain driver choices better than driver experiences, iii it is possible to model and predict driver perceptions of travel distance, time and speed.

  6. Conditions that Influence Drivers' Yielding Behavior for Uncontrolled Crossings

    Science.gov (United States)

    Bourquin, Eugene; Emerson, Robert Wall; Sauerburger, Dona

    2011-01-01

    Pedestrians with visual impairments need to cross streets where traffic signals and traffic signage are not present. This study examined the influences of several interventions, including a pedestrian's use of a mobility cane, on the behavior of drivers when they were expected to yield to a pedestrian crossing at an uncontrolled crossing.…

  7. Conditions that Influence Drivers' Yielding Behavior for Uncontrolled Crossings

    Science.gov (United States)

    Bourquin, Eugene; Emerson, Robert Wall; Sauerburger, Dona

    2011-01-01

    Pedestrians with visual impairments need to cross streets where traffic signals and traffic signage are not present. This study examined the influences of several interventions, including a pedestrian's use of a mobility cane, on the behavior of drivers when they were expected to yield to a pedestrian crossing at an uncontrolled crossing.…

  8. 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.

  9. Comprehending Consumption: The Behavioral Basis and Implementation of Driver Feedback for Reducing Vehicle Energy Use

    Science.gov (United States)

    Stillwater, Tai

    A large body of evidence suggests that drivers who receive real-time fuel economy information can increase their vehicle fuel economy by 5%, a process commonly known as ecodriving. However, few studies have directly addressed the human side of the feedback, that is, why drivers would (or would not) be motivated to change their behavior and how to design feedback devices to maximize the motivation to ecodrive. This dissertation approaches the question using a mixed qualitative and quantitative approach to explore driver responses and psychology as well as to quantify the process of behavior change. The first chapter discusses the use of mile-per-gallon fuel economy as a metric for driver feedback and finds that an alternative energy economy metric is superior for real-time feedback. The second chapter reviews behavioral theories and proposes a number of practical solutions for the ecodriving context. In the third chapter the theory of planned behavior is tested against driver responses to an existing feedback system available in the 2008 model Toyota Prius. The fourth chapter presents a novel feedback design based on behavioral theories and drivers' responses to the feedback. Finally, chapter five presents the quantitative results of a natural-driving study of fuel economy feedback. The dissertation findings suggest that behavior theories such as the Theory of Planned Behavior can provide important improvements to existing feedback designs. In addition, a careful analysis of vehicle energy flows indicates that the mile-per-gallon metric is deeply flawed as a real-time feedback metric, and should be replaced. Chapters 2 and 3 conclude that behavior theories have both a theoretical and highly practical role in feedback design, although the driving context requires just as much care in the application. Chapters 4 and 5 find that a theory-inspired interface provides drivers with engaging and motivating feedback, and that integrating personal goal into the feedback is

  10. Predicting Driver Behavior during the Yellow Interval Using Video Surveillance.

    Science.gov (United States)

    Li, Juan; Jia, Xudong; Shao, Chunfu

    2016-12-06

    At a signalized intersection, drivers must make a stop/go decision at the onset of the yellow signal. Incorrect decisions would lead to red light running (RLR) violations or crashes. This study aims to predict drivers' stop/go decisions and RLR violations during yellow intervals. Traffic data such as vehicle approaching speed, acceleration, distance to the intersection, and occurrence of RLR violations are gathered by a Vehicle Data Collection System (VDCS). An enhanced Gaussian Mixture Model (GMM) is used to extract moving vehicles from target lanes, and the Kalman Filter (KF) algorithm is utilized to acquire vehicle trajectories. The data collected from the VDCS are further analyzed by a sequential logit model, and the relationship between drivers' stop/go decisions and RLR violations is identified. The results indicate that the distance of vehicles to the stop line at the onset of the yellow signal is an important predictor for both drivers' stop/go decisions and RLR violations. In addition, vehicle approaching speed is a contributing factor for stop/go decisions. Furthermore, the accelerations of vehicles after the onset of the yellow signal are positively related to RLR violations. The findings of this study can be used to predict the probability of drivers' RLR violations and improve traffic safety at signalized intersections.

  11. 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.

  12. Driver Behavior on Combination of Vertical and Horizontal Curves of Mountainous Freeways

    Directory of Open Access Journals (Sweden)

    Tao Chen

    2014-01-01

    Full Text Available The study of driver behavior is of great importance to the traffic safety of mountainous freeways. In order to study the characteristics of driver behavior on combination of vertical and horizontal curves (CVHCs of mountainous freeways in free flow conditions, designated speed measurement tests of two typical segments of the upgrade direction of Xi’an-Hanzhong freeway were carried out. After data processing, vehicles in free flow were screened out and classified into two groups by K-means clustering method, and then the driver behavior with different lanes, different size vehicles, and different CVHCs was analyzed, respectively. Finally, a vehicle distribution prediction model and a speed prediction model were built which were applied to CVHCs, and a verification test was made to test the accuracy of the models. Research results show that the driver behavior is mainly different among vehicle size, longitudinal slopes, and horizontal curves, and the characteristics of speed control and lane distribution on CVHCs vary according to lanes and combination of road alignment. Also, the prediction results of the models are highly consistent with the measured test results.

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

    Science.gov (United States)

    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.

  14. A new lattice model of traffic flow with the consideration of the drivers' aggressive characteristics

    Science.gov (United States)

    Li, Xiaoqin; Fang, Kangling; Peng, Guanghan

    2017-02-01

    In real traffic, aggressive driving behaviors often occurs by anticipating the front density of the next-nearest lattice site at next time step to adjust their acceleration in advance. Therefore, a new lattice model is put forward by considering the driver's aggressive effect (DAE). The linear stability condition is derived from the linear stability theory and the modified KdV equation near the critical point is obtained through nonlinear analysis with the consideration of aggressive driving behaviors, respectively. Both the analytical results and numerical simulation indicate that the driver's aggressive effect can increase the traffic stability. Thus driver's aggressive effect should be considered in traffic lattice model.

  15. Crash risk and aberrant driving behaviors among bus drivers: the role of personality and attitudes towards traffic safety.

    Science.gov (United States)

    Mallia, Luca; Lazuras, Lambros; Violani, Cristiano; Lucidi, Fabio

    2015-06-01

    Several studies have shown that personality traits and attitudes toward traffic safety predict aberrant driving behaviors and crash involvement. However, this process has not been adequately investigated in professional drivers, such as bus drivers. The present study used a personality-attitudes model to assess whether personality traits predicted aberrant self-reported driving behaviors (driving violations, lapses, and errors) both directly and indirectly, through the effects of attitudes towards traffic safety in a large sample of bus drivers. Additionally, the relationship between aberrant self-reported driving behaviors and crash risk was also assessed. Three hundred and one bus drivers (mean age=39.1, SD=10.7 years) completed a structured and anonymous questionnaire measuring personality traits, attitudes toward traffic safety, self-reported aberrant driving behaviors (i.e., errors, lapses, and traffic violations), and accident risk in the last 12 months. Structural equation modeling analysis revealed that personality traits were associated to aberrant driving behaviors both directly and indirectly. In particular altruism, excitement seeking, and normlessness directly predicted bus drivers' attitudes toward traffic safety which, in turn, were negatively associated with the three types of self-reported aberrant driving behaviors. Personality traits relevant to emotionality directly predicted bus drivers' aberrant driving behaviors, without any mediation of attitudes. Finally, only self-reported violations were related to bus drivers' accident risk. The present findings suggest that the hypothesized personality-attitudes model accounts for aberrant driving behaviors in bus drivers, and provide the empirical basis for evidence-based road safety interventions in the context of public transport.

  16. Age, gender, mileage and the DBQ: The validity of the Driver Behavior Questionnaire in different driver groups

    DEFF Research Database (Denmark)

    Martinussen, Laila Marianne; Hakamies-Blomqvist, Liisa; Møller, Mette

    2013-01-01

    The Driver Behavior Questionnaire (DBQ) is one of the most widely used instruments for measuring selfreported driving behaviors. Despite the popularity of the DBQ, the applicability of the DBQ in different driver groups has remained mostly unexamined. The present study measured aberrant driving...... behavior using the original DBQ (Reason, J.T., Manstead, A., Stradling, S.G., Baxter, J., Campbell, K., 1990. Errors and violations on the road – a real distinction. Ergonomics, 33 (10/11), 1315–1332) to test the factorial validity and reliability of the instrument across different subgroups of Danish...... drivers. The survey was conducted among 11,004 Danish driving license holders of whom 2250 male and 2190 female drivers completed the questionnaire containing background variables and the DBQ. Exploratory and confirmatory factor analysis showed that the original three-factor solution, a four...

  17. Analysis of driver's characteristics on a curved road in a lattice model

    Science.gov (United States)

    Kaur, Ramanpreet; Sharma, Sapna

    2017-04-01

    The present paper investigates the effect of driver's behavior on the curved road via lattice hydrodynamic approach. The basic model for straight road is extended for the curved road and the characteristics of driver's behavior is incorporated in the lattice model. The extended model is investigated theoretically by the means of linear stability analysis and the effect of curved road and intensity of influence of driver's behavior on the traffic flow stability is examined. Through nonlinear stability analysis, the modified Korteweg-de Vries (MKdV) equation near the critical point is derived to describe the evolution properties of traffic density waves by applying the reductive perturbation method. Furthermore, the numerical simulation is carried out to validate the theoretical results which indicates that the curved road has a negative influence on the stability of the traffic flow. It is also seen that the traffic jam on a curved road can be suppressed efficiently via taking into account aggressive drivers.

  18. Patterns of driver stress and coping strategies in a Greek sample and their relationship to aberrant behaviors and traffic accidents.

    Science.gov (United States)

    Kontogiannis, Tom

    2006-09-01

    This paper presents an investigation into the relationship between driver stress, coping strategies and aberrant driving of a Greek sample of company employees (N=714). The results supported the main factor structures of the Driver Behavior Inventory (Matthews, G., Tsuda, A., Xin, G., Ozeki, Y., 1999. Individual differences in driver stress vulnerability in a Japanese sample. Ergonomics 42, 401-415) and Driver Behavior Questionnaire (Kontogiannis, T., Kossiavelou, Z., Marmaras, N., 2002. Self-reports of aberrant behavior on the roads: errors and violations in a sample of Greek drivers. Accident Anal. Prev. 34, 391-399). An inventory of coping strategies was also examined in terms of self reports. Confrontive coping was characteristic of drivers high on aggression who also had higher rates of mistakes and violations. Coping in terms of self-criticism was exhibited by drivers high on dislike of driving (i.e., anxiety) who reported a higher incidence of mistakes. Task-focus coping was characteristic of alertness and had a weak correlation with confidence. Drivers high in confidence reported fewer mistakes and violations which, in association with low perception of risk, was a particularly worrying aspect of driving. A contextual model of accident involvement was tested with LISREL in which violations yielded a direct effect whilst aggression yielded an indirect effect mediated by violations. Alertness and confidence were both related to safety orientation but failed to predict accident rates and speeding convictions.

  19. Routing Service Quality—Local Driver Behavior Versus Routing Services

    DEFF Research Database (Denmark)

    Ceikute, Vaida; Jensen, Christian S.

    2013-01-01

    experiments with real vehicle trajectory data and an existing online navigation service. It is found that the availability of information about previous trips enables better prediction of route travel time and makes it possible to provide the users with more popular routes than does a conventional navigation...... of the quality of one kind of location-based service, namely routing services. Specifically, the paper presents a framework that enables the comparison of the routes provided by routing services with the actual driving behaviors of local drivers. Comparisons include route length, travel time, and also route...

  20. FRIB driver linac vacuum model and benchmarks

    CERN Document Server

    Durickovic, Bojan; Kersevan, Roberto; Machicoane, Guillaume

    2014-01-01

    The Facility for Rare Isotope Beams (FRIB) is a superconducting heavy-ion linear accelerator that is to produce rare isotopes far from stability for low energy nuclear science. In order to achieve this, its driver linac needs to achieve a very high beam current (up to 400 kW beam power), and this requirement makes vacuum levels of critical importance. Vacuum calculations have been carried out to verify that the vacuum system design meets the requirements. The modeling procedure was benchmarked by comparing models of an existing facility against measurements. In this paper, we present an overview of the methods used for FRIB vacuum calculations and simulation results for some interesting sections of the accelerator. (C) 2013 Elsevier Ltd. All rights reserved.

  1. 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

  2. Impacts of the driver's bounded rationality on the traffic running cost under the car-following model

    Science.gov (United States)

    Tang, Tie-Qiao; Luo, Xiao-Feng; Liu, Kai

    2016-09-01

    The driver's bounded rationality has significant influences on the micro driving behavior and researchers proposed some traffic flow models with the driver's bounded rationality. However, little effort has been made to explore the effects of the driver's bounded rationality on the trip cost. In this paper, we use our recently proposed car-following model to study the effects of the driver's bounded rationality on his running cost and the system's total cost under three traffic running costs. The numerical results show that considering the driver's bounded rationality will enhance his each running cost and the system's total cost under the three traffic running costs.

  3. Distraction and inattention in the driver model library

    NARCIS (Netherlands)

    Hogema, J.H.; Martens, M.H.; Ubink, E.M.

    2011-01-01

    TNO is developing a Driver Model Library (DML) to provide computational models of driver behaviour and decision making for use as a cross-platform plug-in for traffic simulations. The DML is based on a multi-agent cognitive framework which models the individual driving tasks (such as navigation, ove

  4. Age, gender, mileage and the DBQ: The validity of the Driver Behavior Questionnaire in different driver groups

    DEFF Research Database (Denmark)

    Martinussen, Laila Marianne; Hakamies-Blomqvist, Liisa; Møller, Mette;

    2013-01-01

    The Driver Behavior Questionnaire (DBQ) is one of the most widely used instruments for measuring selfreported driving behaviors. Despite the popularity of the DBQ, the applicability of the DBQ in different driver groups has remained mostly unexamined. The present study measured aberrant driving...... behavior using the original DBQ (Reason, J.T., Manstead, A., Stradling, S.G., Baxter, J., Campbell, K., 1990. Errors and violations on the road – a real distinction. Ergonomics, 33 (10/11), 1315–1332) to test the factorial validity and reliability of the instrument across different subgroups of Danish...

  5. Can variations in visual behavior measures be good predictors of driver sleepiness? A real driving test study.

    Science.gov (United States)

    Wang, Yonggang; Xin, Mengyang; Bai, Han; Zhao, Yangdong

    2017-02-17

    The primary purpose of this study was to examine the association between variations in visual behavior measures and subjective sleepiness levels across age groups over time to determine a quantitative method of measuring drivers' sleepiness levels. A total of 128 volunteer drivers in 4 age groups were asked to finish 2-, 3-, and 4-h continuous driving tasks on expressways, during which the driver's fixation, saccade, and blink measures were recorded by an eye-tracking system and the subjective sleepiness level was measured through the Stanford Sleepiness Scale. Two-way repeated measures analysis of variance was then used to examine the change in visual behavior measures across age groups over time and compare the interactive effects of these 2 factors on the dependent visual measures. Drivers' visual behavior measures and subjective sleepiness levels vary significantly over time but not across age groups. A statistically significant interaction between age group and driving duration was found in drivers' pupil diameter, deviation of search angle, saccade amplitude, blink frequency, blink duration, and closure duration. Additionally, change in a driver's subjective sleepiness level is positively or negatively associated with variation in visual behavior measures, and such relationships can be expressed in regression models for different period of driving duration. Driving duration affects drivers' sleepiness significantly, so the amount of continuous driving time should be strictly controlled. Moreover, driving sleepiness can be quantified through the change rate of drivers' visual behavior measures to alert drivers of sleepiness risk and to encourage rest periods. These results provide insight into potential strategies for reducing and preventing traffic accidents and injuries.

  6. Enhancing digital driver models: identification of distinct postural strategies used by drivers.

    Science.gov (United States)

    Kyung, Gyouhyung; Nussbaum, Maury A; Babski-Reeves, Kari L

    2010-03-01

    Driver workspace design and evaluation is, in part, based on assumed driving postures of users and determines several ergonomic aspects of a vehicle, such as reach, visibility and postural comfort. Accurately predicting and specifying standard driving postures, hence, are necessary to improve the ergonomic quality of the driver workspace. In this study, a statistical clustering approach was employed to reduce driving posture simulation/prediction errors, assuming that drivers use several distinct postural strategies when interacting with automobiles. 2-D driving postures, described by 16 joint angles, were obtained from 38 participants with diverse demographics (age, gender) and anthropometrics (stature, body mass) and in two vehicle classes (sedans and SUVs). Based on the proximity of joint angle sets, cluster analysis yielded three predominant postural strategies in each vehicle class (i.e. 'lower limb flexed', 'upper limb flexed' and 'extended'). Mean angular differences between clusters ranged from 3.8 to 52.4 degrees for the majority of joints, supporting the practical relevance of the distinct clusters. The existence of such postural strategies should be considered when utilising digital human models (DHMs) to enhance and evaluate driver workspace design ergonomically and proactively. STATEMENT OF RELEVANCE: This study identified drivers' distinct postural strategies, based on actual drivers' behaviours. Such strategies can facilitate accurate positioning of DHMs and hence help design ergonomic driver workspaces.

  7. Driver behavior and accident frequency in school zones: Assessing the impact of sign saturation.

    Science.gov (United States)

    Strawderman, Lesley; Rahman, Md Mahmudur; Huang, Yunchen; Nandi, Apurba

    2015-09-01

    Based on the models of human information processing, if a driver observes too many of the same signs, he or she may no longer pay attention to those signs. In the case of school zones, this expected effect may lead to non-compliance to posted speeds, negatively impacting safety around nearby schools. This study aims to investigate the effect of the number of nearby school zones on driver behavior (vehicle speed and compliance) and accident frequency. As a measure of the density of school zones, this study introduced and defined a new term sign saturation and presented a methodology to calculate sign saturation for school zones. Results found a significant effect of sign saturation on vehicle speed, compliance, and accident frequency. This study also examined the speeding behavior in school zones for different time of the day and day of the week. Results found that speeding was more prevalent in the early mornings and during the weekends.

  8. Investigating driver injury severity patterns in rollover crashes using support vector machine models.

    Science.gov (United States)

    Chen, Cong; Zhang, Guohui; Qian, Zhen; Tarefder, Rafiqul A; Tian, Zong

    2016-05-01

    Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is important to investigate the factors that affect rollover crashes and their influence on driver injury severity outcomes. This study employs support vector machine (SVM) models to investigate driver injury severity patterns in rollover crashes based on two-year crash data gathered in New Mexico. The impacts of various explanatory variables are examined in terms of crash and environmental information, vehicle features, and driver demographics and behavior characteristics. A classification and regression tree (CART) model is utilized to identify significant variables and SVM models with polynomial and Gaussian radius basis function (RBF) kernels are used for model performance evaluation. It is shown that the SVM models produce reasonable prediction performance and the polynomial kernel outperforms the Gaussian RBF kernel. Variable impact analysis reveals that factors including comfortable driving environment conditions, driver alcohol or drug involvement, seatbelt use, number of travel lanes, driver demographic features, maximum vehicle damages in crashes, crash time, and crash location are significantly associated with driver incapacitating injuries and fatalities. These findings provide insights for better understanding rollover crash causes and the impacts of various explanatory factors on driver injury severity patterns.

  9. An integrated systems model for heavy ion drivers

    Energy Technology Data Exchange (ETDEWEB)

    Bangerter, R O; Faltens, A; Meier, W R

    1998-09-02

    A source-to-target computer model for an induction linac driver for heavy ion fusion has been developed and used to define a reference case driver that meets the requirements of one current target design. Key features of the model are discussed, and the design parameters of the reference case design are described. Examples of the systems analyses leading to the point design are given, and directions for future work are noted.

  10. The Research of the Driver Attention Field Modeling

    Directory of Open Access Journals (Sweden)

    Pengfei Tao

    2014-01-01

    Full Text Available For expanding the application scope of car-following, based on the basic idea of the noncontact interaction of the objects in physics, establish an attention field model to describe the driving behavior. Firstly, propose the time distance concept to describe the degree of driver perception to the front one-dimensional space and extend its application range to the two-dimensional space. Secondly, connect the point which has the same time distance to constitute the equipotential line of drivers’ attention field equipotent, and establish a model to describe it. Thirdly, define the effective range of the driver’s psychological field with the feature of the driver’s visual distance range increasing and the angle decreasing. Finally, design the calculation method to collect projection of the object in the psychological field scope and calculate the curve points to determine the object’s intensity of psychological field. Preliminarily build the driving behavior model and use the numerical simulation method to simulate the simple transport scenarios; initially verify the validity of the model.

  11. An extended continuum model accounting for the driver's timid and aggressive attributions

    Science.gov (United States)

    Cheng, Rongjun; Ge, Hongxia; Wang, Jufeng

    2017-04-01

    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.

  12. Effects of fog, driver experience and gender on driving behavior on S-curved road segments.

    Science.gov (United States)

    Li, Xiaomeng; Yan, Xuedong; Wong, S C

    2015-04-01

    Driving on curved roads has been recognized as a significant safety issue for many years. However, driver behavior and the interactions among variables that affect driver performance on curves is complicated and not well understood. Previous studies have investigated various factors that influence driver performance on right- or left-turn curves, but have paid little attention to the effects of foggy weather, driver experience and gender on driver performance on complex curves. A driving simulator experiment was conducted in this study to evaluate the relationships between driving behavior on a continuous S-curve and foggy weather, driver experience and gender. The process of negotiating a curve was divided into three stages consisting of a straight segment, the transition from the straight segment to the S-curve and the S-curve. The experimental results indicated that drivers tended to drive more cautiously in heavy fog, but the driving risk was still increased, especially in the transition stage from the straight segment to the S-curve. The non-professional (NP) drivers were less sensitive to the impending change in the road geometry, and less skilled in both longitudinal and lateral vehicle control than the professional drivers. The NP female drivers in particular were found to be the most vulnerable group in S-curve driving.

  13. Attitudes and behavior of Chinese drivers regarding seatbelt use.

    Science.gov (United States)

    Huang, Yueng-Hsiang; Zhang, Wei; Murphy, Lauren; Shi, Guangyuan; Lin, Yanjie

    2011-05-01

    In the current study, research was conducted in five cities in China to examine seatbelt use and to explore Chinese drivers' attitudes toward using seatbelts. Multiple data collection methods consisted of 35 initial semi-structured interviews to create questions for an in-person survey and 500 driver observations that included administering the in-person survey. Questions explored were why Chinese drivers use or do not use seatbelts and what they think would be the best interventions to increase the rate of seatbelt use in Chinese drivers. The relationships between various personal characteristics and seatbelt use rates were investigated. Also examined were the relationships between seatbelt use (both objective observation and subjective self-reported use) and self-reported car crashes and traffic violations. This study provides insight into the attitudes of Chinese drivers on seatbelt use and potential interventions.

  14. 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.

  15. Effect of Driver Scope Awareness in the Lane Changing Maneuvers Using Cellular Automaton Model

    Directory of Open Access Journals (Sweden)

    Kohei Arai

    2013-07-01

    Full Text Available This paper investigated the effect of drivers’ visibility and their perception (e.g., to estimate the speed and arrival time of another vehicle on the lane changing maneuver. The term of scope awareness was used to describe the visibility required by the driver to make a perception about road condition and the speed of vehicle that exist in that road. A computer simulation model was conducted to show this driver awareness behavior. This studying attempt to precisely catching the lane changing behavior and illustrate the scope awareness parameter that reflects driver behavior. This paper proposes a simple cellular automata model for studying driver visibility effects of lane changing maneuver and driver perception of estimated speed. Different values of scope awareness were examined to capture its effect on the traffic flow. Simulation results show the ability of this model to capture the important features of lane changing maneuver and revealed the appearance of the short-thin solid line jam and the wide solid line jam in the traffic flow as the consequences of lane changing maneuver.

  16. Driver Behavior in Yielding to Sighted and Blind Pedestrians at Roundabouts

    Science.gov (United States)

    Geruschat, Duane R.; Hassan, Shirin E.

    2005-01-01

    This study evaluated drivers' behavior in yielding the right-of-way to sighted and blind pedestrians who stood at different stopping distances from the crosswalk lines at entry and exit lanes at two different roundabouts. The findings demonstrate that drivers' willingness to yield to pedestrians is affected by whether they are attempting to cross…

  17. Modeling safety risk perception due to mobile phone distraction among four wheeler drivers

    Directory of Open Access Journals (Sweden)

    Raghunathan Rajesh

    2017-04-01

    Full Text Available Nowadays, there is an increasing trend in the use of information and communication technology devices in new vehicles. Due to these increasing service facilities, driver distraction has become a major concern for transportation safety. To reduce safety risks, it is crucial to understand how distracting activities affect driver behavior at different levels of vehicle control. The objective of this work is to understand how the vehicle and driver characteristics influence mobile phone usage while driving and associated risk perception of road safety incidents. Based on literature review, a man–machine framework for distracted driving and a mobile phone distraction model is presented. The study highlights the findings from a questionnaire survey conducted in Kerala, India. The questionnaire uses a 5-point Likert scale. Responses from 1203 four-wheeler drivers are collected using random sampling approach. The questionnaire items associated with three driver-drive characteristics are: (i Human Factors (age, experience, emotional state, behavior of driver, (ii Driver space (meter, controls, light, heat, steering, actuators of vehicle, (iii Driving conditions (speed, distance, duration, traffic, signals. This mobile phone distraction model is tested using structural equation modeling procedure. The study indicates that among the three characteristics, ‘Human Factors’ has the highest influence on perceived distraction due to mobile phones. It is also observed that safety risk perception due to mobile phone usage while driving is moderate. The practical relevance of the study is to place emphasis on behavior-based controls and to focus on strategies leveraging perception of distraction due to mobile phones while driving.

  18. Predicting Driver Behavior during the Yellow Interval Using Video Surveillance

    Directory of Open Access Journals (Sweden)

    Juan Li

    2016-12-01

    Full Text Available At a signalized intersection, drivers must make a stop/go decision at the onset of the yellow signal. Incorrect decisions would lead to red light running (RLR violations or crashes. This study aims to predict drivers’ stop/go decisions and RLR violations during yellow intervals. Traffic data such as vehicle approaching speed, acceleration, distance to the intersection, and occurrence of RLR violations are gathered by a Vehicle Data Collection System (VDCS. An enhanced Gaussian Mixture Model (GMM is used to extract moving vehicles from target lanes, and the Kalman Filter (KF algorithm is utilized to acquire vehicle trajectories. The data collected from the VDCS are further analyzed by a sequential logit model, and the relationship between drivers’ stop/go decisions and RLR violations is identified. The results indicate that the distance of vehicles to the stop line at the onset of the yellow signal is an important predictor for both drivers’ stop/go decisions and RLR violations. In addition, vehicle approaching speed is a contributing factor for stop/go decisions. Furthermore, the accelerations of vehicles after the onset of the yellow signal are positively related to RLR violations. The findings of this study can be used to predict the probability of drivers’ RLR violations and improve traffic safety at signalized intersections.

  19. 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.

  20. Traffic modelling validation of advanced driver assistance systems

    NARCIS (Netherlands)

    Tongeren, R. van; Gietelink, O.J.; Schutter, B. de; Verhaegen, M.

    2007-01-01

    This paper presents a microscopic traffic model for the validation of advanced driver assistance systems. This model describes single-lane traffic and is calibrated with data from a field operational test. To illustrate the use of the model, a Monte Carlo simulation of single-lane traffic scenarios

  1. How reinforcement sensitivity and perceived risk influence young drivers' reported engagement in risky driving behaviors.

    Science.gov (United States)

    Harbeck, Emma L; Glendon, A Ian

    2013-05-01

    Gray's reinforcement sensitivity theory (RST), implementing Carver and White's behavior inhibition system (BIS) and behavior approach system (BAS) scales, was used to predict reported engagement in 10 risky driving behaviors: speeding (2 levels), driving under the influence of alcohol, racing other vehicles, cell phone use (hand-held and hands free), tailgating, unsafe overtaking, driving while fatigued, and not wearing a seatbelt. Participants were 165 young male and female (n=101) drivers aged 17-25 years who held a valid Australian driver's license. Effects of the explanatory variables and specific risk perceptions upon engagement in the reported risky driving behaviors were examined using SEM analyses. Also of interest was whether perceived risk mediated the relationship between the personality variables and reported engagement in risky driving behaviors. RST variables, negative reactivity, reward responsiveness and fun seeking, accounted for unique variance in young drivers' perceived risk. Reward responsiveness and perceived risk accounted for unique variance in young drivers' reported engagement in risky driving behaviors. Negative reactivity was completely mediated by perceived risk in its negative relationship with reported engagement. To better understand driving related risk decision making, future research could usefully incorporate drivers' motivation systems. This has the potential to lead to more tailored approaches to identifying risk-prone drivers and provide information for the development and implementation of media campaigns and educational programs.

  2. Towards a definition of safety for individual drivers lane behavior

    NARCIS (Netherlands)

    Loon, van R.J.

    2012-01-01

    To assess lateral control performance in drivers, lane behaviour indicators such as the mean lane position, standard deviation of lane position and time-to-line-crossing are the most frequently used measures. For lane position, the commonly accepted (qualitative) proposition is that increased lane s

  3. Towards a definition of safety for individual drivers lane behavior

    NARCIS (Netherlands)

    van Loon, R.J.

    2012-01-01

    To assess lateral control performance in drivers, lane behaviour indicators such as the mean lane position, standard deviation of lane position and time-to-line-crossing are the most frequently used measures. For lane position, the commonly accepted (qualitative) proposition is that increased lane

  4. Towards a definition of safety for individual drivers lane behavior

    NARCIS (Netherlands)

    van Loon, R.J.

    2012-01-01

    To assess lateral control performance in drivers, lane behaviour indicators such as the mean lane position, standard deviation of lane position and time-to-line-crossing are the most frequently used measures. For lane position, the commonly accepted (qualitative) proposition is that increased lane s

  5. The Effectiveness of “Improvement of Driver-Behavior Program” on Self-Control of Drunk Driver

    Directory of Open Access Journals (Sweden)

    İbrahim TAYMUR

    2014-11-01

    Full Text Available Objective: The aim of the current study to evaluate the effectiveness of “Improvement of Driver-Behavior Program” on SelfControl of individuals whose driving licenses have been seized for two years due to drinking and driving. Methods: Study sample consisted of 60 volunteers whose driving licenses have been seized for two years due to getting stopped for drunk driving for the second time and who were participated in improvement of driver-behavior program. Self-Control Scale was administered to the group before, at the 6’th week and after the 12-week program. Results: When we examined the Self-Control Scale (SCL scores; means were 51±17.69. 6 at the first assessment, 54.23±15.61 at the 6’th week, and 48.86±17.76 at the 12’th of the program. Therefore, the alteration in Self-Control Scale Scores during the program was statistically not significant (F=1.434, p=0.236.Further pair-wise comparison revealed that only the difference between the SCL scores at 6’th and 12’th weeks was statistically significant (p=0.005.Besides, ANCOVA analysis revealed that the age had significant effect on the difference between the SCL scores at the 6’th and 12’th weeks (F=3.858, p=0.027. Conclusion: We conclude that the quality of “Driver-Behavior Improvement Program” should be enhanced by extending the duration of the education and addressing the age factor in improving self-control features of the relevant individuals

  6. A study on sexual risk behaviors of long-distance truck drivers in central India

    Directory of Open Access Journals (Sweden)

    Aditya Thakur

    2015-07-01

    Full Text Available Background: The sexual behavior of trucking populations has been associated with the transmission of sexually transmitted infections (STI and HIV in India and elsewhere in the world. The objective of the study was to describe the Health seeking and sexual risks behaviors among the long distance truck drivers and to estimate the prevalence of STI symptoms in the long distance truck driver. Methods: Cross sectional study conducted on the Long Distance truck drivers plying on national highway passing through Bhopal state Highway, who halted at road side group of and ldquo;Dhabas and rdquo; (road side hotels at 3 exits ways of Bhopal City M.P (India. A total of 309 truck drivers approached over a period of 90 days. Out of these 251 consented for the study. Result: The study revealed that 49 % of the long distance truck driver had CSW exposure in last 6 months. The prevalence of STI symptoms was found to be 21.51 % among the long distance truck drivers. The Truck Driver who had exposure with CSW more than five times in the last 6 months were found to be more careless regarding using condoms while having intercourse with the CSW's. Conclusion: Effort like availability of condoms in the high risk group settings is required. Dhabas should be made to function as a sentinel centre for promoting awareness for HIV/AIDS and STIs. [Int J Res Med Sci 2015; 3(7.000: 1769-1774

  7. Drivers' compliance with speed limits: an application of the theory of planned behavior.

    Science.gov (United States)

    Elliott, Mark A; Armitage, Christopher J; Baughan, Christopher J

    2003-10-01

    The theory of planned behavior (TPB; I. Ajzen, 1985) was applied to drivers' compliance with speed limits. Questionnaire data were collected for 598 drivers at 2 time points separated by 3 months. TPB variables, demographic information, and self-reported prior behavior were measured at Time 1, and self-reported subsequent behavior was measured at Time 2. In line with the TPB, attitude, subjective norm, and perceived control were positively associated with behavioral intention, and intention and perceived control were positively associated with subsequent behavior. TPB variables mediated the effects of age and gender on behavior. Prior behavior was found to moderate the perceived control-intention and perceived control-subsequent behavior relationships. Practical implications of the findings for road safety and possible avenues for further research are discussed.

  8. Generic Model Predictive Control Framework for Advanced Driver Assistance Systems

    NARCIS (Netherlands)

    Wang, M.

    2014-01-01

    This thesis deals with a model predictive control framework for control design of Advanced Driver Assistance Systems, where car-following tasks are under control. The framework is applied to design several autonomous and cooperative controllers and to examine the controller properties at the microsc

  9. Generic Model Predictive Control Framework for Advanced Driver Assistance Systems

    NARCIS (Netherlands)

    Wang, M.

    2014-01-01

    This thesis deals with a model predictive control framework for control design of Advanced Driver Assistance Systems, where car-following tasks are under control. The framework is applied to design several autonomous and cooperative controllers and to examine the controller properties at the microsc

  10. Drivers of stability of climate coalitions in the STACO model

    NARCIS (Netherlands)

    Dellink, R.B.

    2011-01-01

    This paper investigates which drivers affect the formation and stability of international climate agreements (ICAs). The applied model STACO is used to project costs and benefits of an international agreement on climate change mitigation activities. The simulation results show that an incentive-base

  11. 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.

  12. Driver Vision Based Perception-Response Time Prediction and Assistance Model on Mountain Highway Curve.

    Science.gov (United States)

    Li, Yi; Chen, Yuren

    2016-12-30

    To make driving assistance system more humanized, this study focused on the prediction and assistance of drivers' perception-response time on mountain highway curves. Field tests were conducted to collect real-time driving data and driver vision information. A driver-vision lane model quantified curve elements in drivers' vision. A multinomial log-linear model was established to predict perception-response time with traffic/road environment information, driver-vision lane model, and mechanical status (last second). A corresponding assistance model showed a positive impact on drivers' perception-response times on mountain highway curves. Model results revealed that the driver-vision lane model and visual elements did have important influence on drivers' perception-response time. Compared with roadside passive road safety infrastructure, proper visual geometry design, timely visual guidance, and visual information integrality of a curve are significant factors for drivers' perception-response time.

  13. 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

  14. 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.

  15. Have drivers at alcohol outlets changed their behavior after the new traffic law?

    Directory of Open Access Journals (Sweden)

    Raquel B. De Boni

    2014-03-01

    Full Text Available Objective: In an attempt to reduce high levels of traffic crashes, a new legislation was approved in Brazil in 2008. This study aimed to assess behavioral change among drivers who had drunk at alcohol outlets (AO after implementation of the law. Method: A three-stage probability sampling survey was conducted in Porto Alegre, state of Rio Grande do Sul, Brazil. Individuals seen leaving AOs after drinking were approached (n=3,018. Selected drivers (n=683 answered a structured interview, were breathalyzed, and had saliva specimens collected for drug screening. Results: Overall, 60.3% (SE 4.5 of drivers reported they did not change their behavior. Among those who reported behavioral changes, most reported drinking less as their main strategy toward safer driving behavior. Variables independently associated with behavior change included having drunk at a high outlet density area (odds ratio [OR] 1.7 [1.1-2.8] and having a favorable opinion about the law (OR 4.3 [2.1-8.9]. Conclusions: Our findings suggest that awareness of the law has not been enough to promote behavioral change. As most drivers had a favorable opinion of the law and this variable was found to be the strongest predictor of behavior change, efforts to better integrate education and enforcement seem to be pivotal and might be well received by the population.

  16. Knowledge of Traffic Laws and Drivers Behavior on the Roads of Tripoli City, Libya

    Directory of Open Access Journals (Sweden)

    Hussin A.M. Yahia

    2014-03-01

    Full Text Available This study aimed to examine the knowledge of traffic rules and laws among a sample of drivers from the city of Tripoli and their behavior with respect to the same. A random sample of 416 drivers was selected from various regions for Tripoli, namely: Tajura, Abo Saleem, City Centre and Janzour and administered a questionnaire that would elicit and record their knowledge and behavior regarding road rules and regulations. The study revealed that traffic accidents are most affected by and positively, statistically correlated with certain key behavioral variables determinants such as: commitment to the speed limit, respect for traffic signals, compliance with seat belt use, use of mobile phones, driving under psychological stress or when sick and eating while driving. The study also found that 56% are no committed to the speed limit, only 41% were seat-belt compliant while driving and 71% of them used mobile phones while driving. Sixty nine percent of drivers opted financial penalty for mobile phone use during driving, this may be an indication that alternate traffic rules penalties may be enforced to deter drivers from repeat offenses. Thereto, a numbers of recommendations were presented for implementation by the relevant authorities. Overall, the study found that Tripoli drivers' knowledge of/on traffic laws and accident-risks didn't affect their behavior on the road.

  17. High-risk behaviors and experiences with traffic law among night drivers in Curitiba, Brazil

    Directory of Open Access Journals (Sweden)

    Sandra L. Ulinski

    2016-01-01

    Full Text Available Objective: To explore high-risk behaviors and experiences with traffic law among night drivers in Curitiba, Brazil. Method: Data from 398 drivers on sociodemographic parameters, high-risk behaviors, experiences with traffic law, and traffic law violations were collected through interviews conducted at sobriety checkpoints. Exploratory-descriptive and analytical statistics were used. Results: The mean age of the participants was 32.6±11.2 years (range, 18 to 75 years. Half of the drivers reported having driven after drinking in the last year, predominantly single men aged 18 to 29 years who drive cars and drink alcohol frequently. Only 55% of the drivers who had driven after drinking in the last year self-reported some concern about being detected in a police operation. Conclusions: A significant association was found between sociodemographic variables and behavior, which can help tailor public interventions to a specific group of drivers: young men who exhibit high-risk behaviors in traffic, such as driving after drinking alcohol, some of whom report heavy alcohol consumption. This group represents a challenge for educational and enforcement interventions, particularly because they admit to violating current laws and have a low perception of punishment due to the low risk of being detected by the police.

  18. Estimating Value of Congestion and of Reliability from Observation of Route Choice Behavior of Car Drivers

    DEFF Research Database (Denmark)

    Prato, Carlo Giacomo; Rasmussen, Thomas Kjær; Nielsen, Otto Anker

    2014-01-01

    both congestion and reliability terms. Results illustrated that the value of time and the value of congestion were significantly higher in the peak period because of possible higher penalties for drivers being late and consequently possible higher time pressure. Moreover, results showed...... that the marginal rate of substitution between travel time reliability and total travel time did not vary across periods and traffic conditions, with the obvious caveat that the absolute values were significantly higher for the peak period. Last, results showed the immense potential of exploiting the growing...... availability of large amounts of data from cheap and enhanced technology to obtain estimates of the monetary value of different travel time components from the observation of actual behavior, with arguably potential significant impact on the realism of large-scale models....

  19. A method to model anticipatory postural control in driver braking events

    NARCIS (Netherlands)

    Osth, J.; Eliasson, E.; Happee, R.; Brolin, K.

    2014-01-01

    Human body models (HBMs) for vehicle occupant simulations have recently been extended with active muscles and postural control strategies. Feedback control has been used to model occupant responses to autonomous braking interventions. However, driver postural responses during driver initiated brakin

  20. Social norms and risk perception: predictors of distracted driving behavior among novice adolescent drivers.

    Science.gov (United States)

    Carter, Patrick M; Bingham, C Raymond; Zakrajsek, Jennifer S; Shope, Jean T; Sayer, Tina B

    2014-05-01

    Adolescent drivers are at elevated crash risk due to distracted driving behavior (DDB). Understanding parental and peer influences on adolescent DDB may aid future efforts to decrease crash risk. We examined the influence of risk perception, sensation seeking, as well as descriptive and injunctive social norms on adolescent DDB using the theory of normative social behavior. 403 adolescents (aged 16-18 years) and their parents were surveyed by telephone. Survey instruments measured self-reported sociodemographics, DDB, sensation seeking, risk perception, descriptive norms (perceived parent DDB, parent self-reported DDB, and perceived peer DDB), and injunctive norms (parent approval of DDB and peer approval of DDB). Hierarchical multiple linear regression was used to predict the influence of descriptive and injunctive social norms, risk perception, and sensation seeking on adolescent DDB. 92% of adolescents reported regularly engaging in DDB. Adolescents perceived that their parents and peers participated in DDB more frequently than themselves. Adolescent risk perception, parent DDB, perceived parent DDB, and perceived peer DDB were predictive of adolescent DDB in the regression model, but parent approval and peer approval of DDB were not predictive. Risk perception and parental DDB were stronger predictors among males, whereas perceived parental DDB was stronger for female adolescents. Adolescent risk perception and descriptive norms are important predictors of adolescent distracted driving. More study is needed to understand the role of injunctive normative influences on adolescent DDB. Effective public health interventions should address parental role modeling, parental monitoring of adolescent driving, and social marketing techniques that correct misconceptions of norms related to around driver distraction and crash risk. Copyright © 2014 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  1. Global bifurcation investigation of an optimal velocity traffic model with driver reaction time

    Science.gov (United States)

    Orosz, Gábor; Wilson, R. Eddie; Krauskopf, Bernd

    2004-08-01

    We investigate an optimal velocity model which includes the reflex time of drivers. After an analytical study of the stability and local bifurcations of the steady-state solution, we apply numerical continuation techniques to investigate the global behavior of the system. Specifically, we find branches of oscillating solutions connecting Hopf bifurcation points, which may be super- or subcritical, depending on parameters. This analysis reveals several regions of multistability.

  2. Healthcare quality maturity assessment model based on quality drivers.

    Science.gov (United States)

    Ramadan, Nadia; Arafeh, Mazen

    2016-04-18

    Purpose - Healthcare providers differ in their readiness and maturity levels regarding quality and quality management systems applications. The purpose of this paper is to serve as a useful quantitative quality maturity-level assessment tool for healthcare organizations. Design/methodology/approach - The model proposes five quality maturity levels (chaotic, primitive, structured, mature and proficient) based on six quality drivers: top management, people, operations, culture, quality focus and accreditation. Findings - Healthcare managers can apply the model to identify the status quo, quality shortcomings and evaluating ongoing progress. Practical implications - The model has been incorporated in an interactive Excel worksheet that visually displays the quality maturity-level risk meter. The tool has been applied successfully to local hospitals. Originality/value - The proposed six quality driver scales appear to measure healthcare provider maturity levels on a single quality meter.

  3. Lattice models of traffic flow considering drivers' delay in response

    Institute of Scientific and Technical Information of China (English)

    Zhu Hui-Bing

    2009-01-01

    This paper proposes two lattice traffic models by taking into account the drivers'delay in response.The lattice versions of the hydrodynamic model are described by the differential-difference equation and difference-difference equation.respectively.The stability conditions for the two models are obtained by using the linear stability theory.The modified KdV equation near the critical point is derived to describe the traffic jam by using the reductive perturbation method,and the kink-antikink soliton solutions related to the traffic density waves are obtained.The results show that the drivers'delay in sensing headway plays an important role in jamming transition.

  4. University - industry collaborations: models, drivers and cultures.

    Science.gov (United States)

    Ehrismann, Dominic; Patel, Dhavalkumar

    2015-01-01

    The way academic institutions and pharmaceutical companies have been approaching collaborations has changed significantly in recent years. A multitude of interaction models were tested and critical factors that drive successful collaborations have been proposed. Based on this experience the current consensus in the pharmaceutical industry is to pursue one of two strategies: an open innovation approach to source discoveries wherever they occur, or investing selectively into scientific partnerships that churn out inventions that can be translated from bench to bedside internally. While these strategies may be intuitive, to form and build sustainable relationships between academia and large multinational healthcare enterprises is proving challenging. In this article we explore some of the more testing aspects of these collaborations, approaches that various industrial players have taken and provide our own views on the matter. We found that understanding and respecting each other's organisational culture and combining the intellectual and technological assets to answer big scientific questions accelerates and improves the quality of every collaboration. Upon discussing the prevailing cooperation models in the university - industry domain, we assert that science-driven collaborations where risks and rewards are shared equally without a commercial agenda in mind are the most impactful.

  5. HIV infection, genital symptoms and sexual risk behavior among Indian truck drivers from a large transportation company in South India

    Directory of Open Access Journals (Sweden)

    Annie Dude

    2009-01-01

    Full Text Available Background: Sentinel surveillance conducted in the high Human Immuno-deficiency Virus (HIV prevalent state of Andhra Pradesh includes sub-populations thought to be at high-risk for HIV, but has not included truck drivers. Novel HIV prevention programs targeting this population increasingly adopt public - private partnership models. There have been no targeted studies of HIV prevalence and risk behavior among truck drivers belonging to the private sector in India. Methods: A sample of 189 truck drivers, aged between 15 and 56, were recruited from Gati Limited′s large trucking depot in Hyderabad, India. A quantitative survey instrument was conducted along with blood collection for HIV 1/2 testing. Multivariate regression models were utilized to determine predictors of HIV infection and risk behavior. Results: 2.1% of subjects were infected with HIV. Older age was protective against self-reported genital symptoms (OR = 0.77; P = 0.03, but these were more likely among those truck drivers with greater income (OR = 1.05; P = 0.02, and those who spent more time away from home (OR = 25.7; P = 0.001. Men with higher incomes also reported significantly more sex partners (OLS coefficient = 0.016 more partners / 100 rupees in monthly income, P = 0.04, as did men who spent a great deal of time away from home (OLS coefficient = 1.30, P = 0.002. Drivers were more likely to report condom use with regular partners if they had ever visited a female sex worker (OR = 6.26; P = 0.002, but married drivers exhibited decreased use of condoms with regular partners (OR = 0.14, P = 0.008. Men who had higher levels of knowledge regarding HIV and HIV preventative practices were also more likely to use condoms with regular partners (OR = 1.22, P = 0.03. Conclusion: Time away from home, urban residence, income, and marital status were the strongest correlates of genital symptoms for Sexually Transmitted Infections (STI and risk behaviors, although none were consistent

  6. Stress-related psychosocial factors at work, fatigue, and risky driving behavior in bus rapid transport (BRT) drivers.

    Science.gov (United States)

    Useche, Sergio A; Ortiz, Viviola Gómez; Cendales, Boris E

    2017-07-01

    There is consistent scientific evidence that professional drivers constitute an occupational group that is highly exposed to work related stressors. Furthermore, several recent studies associate work stress and fatigue with unsafe and counterproductive work behaviors. This study examines the association between stress-related work conditions of Bus Rapid Transport (BRT) drivers and risky driving behaviors; and examines whether fatigue is a mechanism that mediates the association between the two. A sample of 524 male Bus Rapid Transit (BRT) operators were drawn from four transport companies in Bogotá, Colombia. The participants answered a survey which included an adapted version of the Driver Behavior Questionnaire (DBQ) for BRT operators, as well as the Effort-Reward Imbalance and Job Content Questionnaires, the Subjective Fatigue subscale of the Checklist Individual Strength (CIS) and the Need for Recovery after Work Scale (NFR). Utilizing Structural Equation Models (SEM) it was found that risky driving behaviors in BRT operators could be predicted through job strain, effort-reward imbalance and social support at work. It was also found that fatigue and need for recovery fully mediate the associations between job strain and risky driving, and between social support and risky driving, but not the association between effort/reward imbalance (ERI) and risky driving. The results of this study suggest that a) stress related working conditions (Job Strain, Social Support and ERI) are relevant predictors of risky driving in BRT operators, and b) that fatigue is the mechanism which links another kind of stress related to working conditions (job strain and low social support) with risky driving. The mechanism by which ERI increases risky driving in BRT operators remains unexplained. This research suggests that in addition to the individual centered stress-reduction occupational programs, fatigue management interventions aimed to changing some working conditions may reduce

  7. 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

  8. Driver`s behavior and the motion of motorized wheelchair when driving over rough surfaces; Dansa nado fuseichi sokoji no dendo kurumaisu no undo to join no kyodo

    Energy Technology Data Exchange (ETDEWEB)

    Enomoto, A.; Yokomori, M.; Yamaguchi, S. [Meijo University, Aichi (Japan)

    1997-10-01

    We analyzed about the motion of motorized wheelchairs and the driver`s behavior when passing over the small obstacles in place of the rough surface road or the gateway of house and road by experiment. The tested two type wheelchairs are the front wheel drive and the rear wheel drive. The lean angle of head and the pulse rate of driver, the feeling for stability and the yaw angle and the roll angle of the wheelchair bodies, and the deflection angle of front wheels of rear drive. 4 refs., 11 figs., 1 tab.

  9. Traffic flow impacts of adaptive cruise control deactivation and (Re)activation with cooperative driver behavior

    NARCIS (Netherlands)

    Klunder, G.; Li, M.; Minderhoud, M.

    2009-01-01

    In 2006 in the Netherlands, a field operational test was carried out to study the effect of adaptive cruise control (ACC) and lane departure warning on driver behavior and traffic flow in real traffic. To estimate the effect for larger penetration rates, simulations were needed. For a reliable

  10. Traffic flow impacts of adaptive cruise control deactivation and (Re)activation with cooperative driver behavior

    NARCIS (Netherlands)

    Klunder, G.; Li, M.; Minderhoud, M.

    2009-01-01

    In 2006 in the Netherlands, a field operational test was carried out to study the effect of adaptive cruise control (ACC) and lane departure warning on driver behavior and traffic flow in real traffic. To estimate the effect for larger penetration rates, simulations were needed. For a reliable impac

  11. Study of unsafe behaviors among city bus drivers in Hamadan, 2011

    Directory of Open Access Journals (Sweden)

    2012-01-01

    Conclusion: Because of high percent of unsafe acts and considering importance of its consequences in drivers, reducing unsafe acts trough investment and utilization of behavioral safety principles is required. In this regard, holding educational careers are suggested to increasing driver’s awareness.

  12. The observed effects of teenage passengers on the risky driving behavior of teenage drivers.

    Science.gov (United States)

    Simons-Morton, Bruce; Lerner, Neil; Singer, Jeremiah

    2005-11-01

    The association between teenage passengers and crash risks among young drivers may be due to risky driving behavior. We investigated the effect on two measures of risky driving in the presence of young male and female passengers. Vehicles exiting from parking lots at 10 high schools were observed and the occupants were identified by gender and age (teen or adult). At a nearby site, the speed and headway of passing traffic were recorded using video and LIDAR technology. Teenage drivers drove faster than the general traffic and allowed shorter headways, particularly in the presence of a male teenage passenger. Both male and female teenage drivers allowed shorter headways (relative to no passenger or a female passenger) in the presence of a male teenage passenger, while the presence of a female teenage passenger resulted in longer headways for male teenage drivers. Overall, the observed rate of high risk driving (defined as speed > or =15 mph or more above the posted speed limit and/or headway of teenage passengers was associated with risky driving behavior among teenage drivers.

  13. Linear chaos for the Quick-Thinking-Driver model

    OpenAIRE

    Conejero, J. A.; Arcila, M. Murillo; Seoane-Sepúlveda, J. B.

    2015-01-01

    In recent years, the topic of car-following has experimented an increased importance in traffic engineering and safety research. This has become a very interesting topic because of the development of driverless cars \\cite{google_driverless_cars}. Driving models which describe the interaction between adjacent vehicles in the same lane have a big interest in simulation modeling, such as the Quick-Thinking-Driver model. A non-linear version of it can be given using the logistic map, and then cha...

  14. French validation of a new version of the driver behavior questionnaire (DBQ) for drivers of all ages and level of experiences.

    Science.gov (United States)

    Guého, Ludivine; Granié, Marie-Axelle; Abric, Jean-Claude

    2014-02-01

    The purpose of this study was to validate a new version of the Driver Behavior Questionnaire (DBQ) on a sample of French drivers in order to gain a better understanding of different driver behaviors, by differentiating two types of violations (aggressive and ordinary), three types of errors (dangerous, inattention and inexperience) and by taking positive behaviors into account. 525 drivers (205 men and 320 women), between 18 and 79 years of age, filled in a questionnaire on line including the 41 items in the new version of the DBQ and information relative to their mobility and their accident history. Exploratory factor analysis confirmed a six-factor structure: "dangerous errors", "inattention errors", "inexperience errors", "ordinary violations", "aggressive violations" and "positive behaviors". A revised version with 23 items of the new version of the DBQ was produced by selecting the items that loaded most strongly on the six factors. The results also showed the link between demographic variables (age and gender), mobility (kilometers driven weekly), the DBQ scores and the involvement in an accident in the previous five years. This study permitted to validate a more detailed version of the "Driving Behavior Questionnaire" among French drivers of all age and all level of experience.

  15. Distracting behaviors among teenagers and young, middle-aged, and older adult drivers when driving without and with warnings from an integrated vehicle safety system.

    Science.gov (United States)

    Kidd, David G; Buonarosa, Mary Lynn

    2017-06-01

    Negative reinforcement from crash warnings may reduce the likelihood that drivers engage in distracted driving. Alternatively, drivers may compensate for the perceived safety benefit of crash warnings by engaging in distractions more frequently, especially at higher speeds. The purpose of this study was to examine whether warning feedback from an integrated vehicle-based safety system affected the likelihood that various secondary behaviors were present among drivers ages 16-17, 20-30, 40-50, and 60-70. Participants drove an instrumented sedan with various collision warning systems for an extended period. Ten 5-second video clips were randomly sampled from driving periods at speeds above 25mph and below 5mph each week for each driver and coded for the presence of 11 secondary behaviors. At least one secondary behavior was present in 46% of video clips; conversing with a passenger (17%), personal grooming (9%), and cellphone conversation (6%) were the most common. The likelihood that at least one secondary behavior was present was not significantly different during periods when drivers received warnings relative to periods without warnings. At least one secondary behavior was 21% more likely to be present at speeds below 5mph relative to speeds above 25mph; however, the effect of vehicle speed was not significantly affected by warning presence. Separate models for each of the five most common secondary behaviors also indicated that warnings had no significant effect on the likelihood that each behavior was present. Collision warnings were not associated with significant increases or decreases in the overall likelihood that teen and adult drivers engaged in secondary behaviors or the likelihood of the behaviors at speeds above 25mph or below 5mph. There was no evidence that forward collision warning and other technologies like those in this study will increase or decrease distracted driving. Copyright © 2017 Elsevier Ltd and National Safety Council. All rights

  16. Driver Model of a Powered Wheelchair Operation as a Tool of Theoretical Analyses

    Science.gov (United States)

    Ito, Takuma; Inoue, Takenobu; Shino, Motoki; Kamata, Minoru

    This paper describes the construction of a driver model of a powered wheelchair operation for the understanding of the characteristics of the driver. The main targets of existing researches about driver models are the operation of the automobiles and motorcycles, not a low-speed vehicle such as powered wheelchairs. Therefore, we started by verifying the possibility of modeling the turning operation at a corner of a corridor. At first, we conducted an experiment on a daily powered wheelchair user by using his vehicle. High reproducibility of driving and the driving characteristics for the construction of a driver model were both confirmed from the result of the experiment. Next, experiments with driving simulators were conducted for the collection of quantitative driving data. The parameters of the proposed driver model were identified from experimental results. From the simulations with the proposed driver model and identified parameters, the characteristics of the proposed driver model were analyzed.

  17. Human Behavioral Contributions to Climate Change: Psychological and Contextual Drivers

    Science.gov (United States)

    Swim, Janet K.; Clayton, Susan; Howard, George S.

    2011-01-01

    We are facing rapid changes in the global climate, and these changes are attributable to human behavior. Humans produce this global impact through our use of natural resources, multiplied by the vast increase in population seen in the past 50 to 100 years. Our goal in this article is to examine the underlying psychosocial causes of human impact,…

  18. IMPACTS OF GROUP-BASED SIGNAL CONTROL POLICY ON DRIVER BEHAVIOR AND INTERSECTION SAFETY

    Directory of Open Access Journals (Sweden)

    Keshuang TANG

    2008-01-01

    Full Text Available Unlike the typical stage-based policy commonly applied in Japan, the group-based control (often called movement-based in the traffic control industry in Japan refers to such a control pattern that the controller is capable of separately allocating time to each signal group instead of stage based on traffic demand. In order to investigate its applicability at signalized intersections in Japan, an intersection located in Yokkaichi City of Mie Prefecture was selected as an experimental application site by the Japan Universal Traffic Management Society (UTMS. Based on the data collected at the intersection before and after implementing the group-based control policy respectively, this study evaluated the impacts of such a policy on driver behavior and intersection safety. To specify those impacts, a few models utilizing cycle-based data were first developed to interpret the occurrence probability and rate of red-light-running (RLR. Furthermore, analyses were performed on the yellow-entry time (Ye of the last cleared vehicle and post encroachment time (PET during the phase switching. Conclusions supported that the group-based control policy, along with certain other factors, directly or indirectly influenced the RLR behavior of through and right-turn traffics. Meanwhile, it has potential safety benefits as well, indicated by the declined Ye and increased PET values.

  19. Modelling benthic biophysical drivers of ecosystem structure and biogeochemical response

    Science.gov (United States)

    Stephens, Nicholas; Bruggeman, Jorn; Lessin, Gennadi; Allen, Icarus

    2016-04-01

    The fate of carbon deposited at the sea floor is ultimately decided by biophysical drivers that control the efficiency of remineralisation and timescale of carbon burial in sediments. Specifically, these drivers include bioturbation through ingestion and movement, burrow-flushing and sediment reworking, which enhance vertical particulate transport and solute diffusion. Unfortunately, these processes are rarely satisfactorily resolved in models. To address this, a benthic model that explicitly describes the vertical position of biology (e.g., habitats) and biogeochemical processes is presented that includes biological functionality and biogeochemical response capturing changes in ecosystem structure, benthic-pelagic fluxes and biodiversity on inter-annual timescales. This is demonstrated by the model's ability to reproduce temporal variability in benthic infauna, vertical pore water nutrients and pelagic-benthic solute fluxes compared to in-situ data. A key advance is the replacement of bulk parameterisation of bioturbation by explicit description of the bio-physical processes responsible. This permits direct comparison with observations and determination of key parameters in experiments. Crucially, the model resolves the two-way interaction between sediment biogeochemistry and ecology, allowing exploration of the benthic response to changing environmental conditions, the importance of infaunal functional traits in shaping benthic ecological structure and the feedback the resulting bio-physical processes exert on pore water nutrient profiles. The model is actively being used to understand shelf sea carbon cycling, the response of the benthos to climatic change, food provision and other societal benefits.

  20. The Scent of Blood: A Driver of Human Behavior?

    Science.gov (United States)

    Moran, James K; Dietrich, Daniel R; Elbert, Thomas; Pause, Bettina M; Kübler, Lisa; Weierstall, Roland

    2015-01-01

    The scent of blood is potentially one of the most fundamental and survival-relevant olfactory cues in humans. This experiment tests the first human parameters of perceptual threshold and emotional ratings in men and women of an artificially simulated smell of fresh blood in contact with the skin. We hypothesize that this scent of blood, with its association with injury, danger, death, and nutrition will be a critical cue activating fundamental motivational systems relating to either predatory approach behavior or prey-like withdrawal behavior, or both. The results show that perceptual thresholds are unimodally distributed for both sexes, with women being more sensitive. Furthermore, both women and men's emotional responses to simulated blood scent divide strongly into positive and negative valence ratings, with negative ratings in women having a strong arousal component. For women, this split is related to the phase of their menstrual cycle and oral contraception (OC). Future research will investigate whether this split in both genders is context-dependent or trait-like.

  1. Quantifying the yellow signal driver behavior based on naturalistic data from digital enforcement cameras.

    Science.gov (United States)

    Bar-Gera, H; Musicant, O; Schechtman, E; Ze'evi, T

    2016-11-01

    The yellow signal driver behavior, reflecting the dilemma zone behavior, is analyzed using naturalistic data from digital enforcement cameras. The key variable in the analysis is the entrance time after the yellow onset, and its distribution. This distribution can assist in determining two critical outcomes: the safety outcome related to red-light-running angle accidents, and the efficiency outcome. The connection to other approaches for evaluating the yellow signal driver behavior is also discussed. The dataset was obtained from 37 digital enforcement cameras at non-urban signalized intersections in Israel, over a period of nearly two years. The data contain more than 200 million vehicle entrances, of which 2.3% (∼5million vehicles) entered the intersection during the yellow phase. In all non-urban signalized intersections in Israel the green phase ends with 3s of flashing green, followed by 3s of yellow. In most non-urban signalized roads in Israel the posted speed limit is 90km/h. Our analysis focuses on crossings during the yellow phase and the first 1.5s of the red phase. The analysis method consists of two stages. In the first stage we tested whether the frequency of crossings is constant at the beginning of the yellow phase. We found that the pattern was stable (i.e., the frequencies were constant) at 18 intersections, nearly stable at 13 intersections and unstable at 6 intersections. In addition to the 6 intersections with unstable patterns, two other outlying intersections were excluded from subsequent analysis. Logistic regression models were fitted for each of the remaining 29 intersection. We examined both standard (exponential) logistic regression and four parameters logistic regression. The results show a clear advantage for the former. The estimated parameters show that the time when the frequency of crossing reduces to half ranges from1.7 to 2.3s after yellow onset. The duration of the reduction of the relative frequency from 0.9 to 0.1 ranged

  2. I’ll Show You the Way: Risky Driver Behavior When “Following a Friend”

    Directory of Open Access Journals (Sweden)

    Jaimie McNabb

    2017-05-01

    Full Text Available Previous research examining social influences on driving behavior has primarily focused on the effects of passengers and surrounding vehicles (e.g., speed contagion. Of current interest was the interaction between drivers that occurs in a “following a friend” scenario, i.e., the driver of one vehicle (the leader knows how to get to the desired destination while the driver of a second vehicle (the follower does not. Sixteen participants drove through a simulated city in a driving simulator under three conditions: (i a baseline condition in which they could choose their own route, (ii a navigation system condition in which they were given audible route instructions, and (iii a “follow a friend” condition in which they required to follow a simulated vehicle. In the follow a friend condition, drivers engaged in significantly more risky behaviors (in comparison to the other conditions such as making more erratic and higher speed turns and lane changes, maintaining overall higher speed, as well as maintaining a shorter time headway when following a lead vehicle. These effects suggest a relationship to time pressure caused by a fear of getting lost.

  3. I’ll Show You the Way: Risky Driver Behavior When “Following a Friend”

    Science.gov (United States)

    McNabb, Jaimie; Kuzel, Michael; Gray, Rob

    2017-01-01

    Previous research examining social influences on driving behavior has primarily focused on the effects of passengers and surrounding vehicles (e.g., speed contagion). Of current interest was the interaction between drivers that occurs in a “following a friend” scenario, i.e., the driver of one vehicle (the leader) knows how to get to the desired destination while the driver of a second vehicle (the follower) does not. Sixteen participants drove through a simulated city in a driving simulator under three conditions: (i) a baseline condition in which they could choose their own route, (ii) a navigation system condition in which they were given audible route instructions, and (iii) a “follow a friend” condition in which they required to follow a simulated vehicle. In the follow a friend condition, drivers engaged in significantly more risky behaviors (in comparison to the other conditions) such as making more erratic and higher speed turns and lane changes, maintaining overall higher speed, as well as maintaining a shorter time headway when following a lead vehicle. These effects suggest a relationship to time pressure caused by a fear of getting lost. PMID:28536545

  4. 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.

  5. Mouse models for the discovery of colorectal cancer driver genes.

    Science.gov (United States)

    Clark, Christopher R; Starr, Timothy K

    2016-01-14

    Colorectal cancer (CRC) constitutes a major public health problem as the third most commonly diagnosed and third most lethal malignancy worldwide. The prevalence and the physical accessibility to colorectal tumors have made CRC an ideal model for the study of tumor genetics. Early research efforts using patient derived CRC samples led to the discovery of several highly penetrant mutations (e.g., APC, KRAS, MMR genes) in both hereditary and sporadic CRC tumors. This knowledge has enabled researchers to develop genetically engineered and chemically induced tumor models of CRC, both of which have had a substantial impact on our understanding of the molecular basis of CRC. Despite these advances, the morbidity and mortality of CRC remains a cause for concern and highlight the need to uncover novel genetic drivers of CRC. This review focuses on mouse models of CRC with particular emphasis on a newly developed cancer gene discovery tool, the Sleeping Beauty transposon-based mutagenesis model of CRC.

  6. A qualitative exploration of self-regulation behaviors among older drivers.

    Science.gov (United States)

    Donorfio, Laura K M; Mohyde, Maureen; Coughlin, Joseph; D'Ambrosio, Lisa

    2008-01-01

    While much of the research on aging and driving has focused on sensory and motor changes, little is known about older drivers and the actual self-regulation adjustments they employ to continue driving safely. This research looks at how older drivers have made changes to driving patterns and behaviors that have allowed them to continue to drive without compromising their perceived safety, independence, and quality of life. Nine focus groups were held with older men and women aged 58 to 89 years. Some of the major themes that emerged were the following: older adults are very aware of age-related changes to driving; they perceive that self-regulation behaviors change with age; and they view transportation alternatives as limited or nonexistent. Policy implications include developing functional transit programs for older adults and car manufacturer training workshops to educate older adults on the safety features of newly purchased automobiles.

  7. A dynamic model for a displacement amplified magnetostrictive driver for active mounts

    Science.gov (United States)

    Chakrabarti, Suryarghya; Dapino, Marcelo J.

    2010-05-01

    A magnetostrictive actuator with a hydraulic displacement amplification mechanism is designed to be used as a driver in active engine mounts. The dynamic response of the actuator is quantified in terms of the output displacement and the magnetostriction. Eddy current losses are modeled as a one-dimensional magnetic diffusion problem in cylindrical coordinates. The Jiles-Atherton model is used to describe the magnetization state of the material as a function of applied magnetic fields. Magnetostriction, which is modeled as a single-valued function of magnetization, provides an input to the mechanical model describing the system vibrations. Friction at the elastomeric seals is modeled using the LuGre (Lund-Grenoble) friction model for lubricated contacts. Results show that the model accurately describes the dynamic behavior of the actuator up to 500 Hz. An order analysis of the data and calculated responses shows that the model describes the fundamental and higher-order spectral components generated by the device.

  8. 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.

  9. Drivers' Visual Behavior-Guided RRT Motion Planner for Autonomous On-Road Driving.

    Science.gov (United States)

    Du, Mingbo; Mei, Tao; Liang, Huawei; Chen, Jiajia; Huang, Rulin; Zhao, Pan

    2016-01-15

    This paper describes a real-time motion planner based on the drivers' visual behavior-guided rapidly exploring random tree (RRT) approach, which is applicable to on-road driving of autonomous vehicles. The primary novelty is in the use of the guidance of drivers' visual search behavior in the framework of RRT motion planner. RRT is an incremental sampling-based method that is widely used to solve the robotic motion planning problems. However, RRT is often unreliable in a number of practical applications such as autonomous vehicles used for on-road driving because of the unnatural trajectory, useless sampling, and slow exploration. To address these problems, we present an interesting RRT algorithm that introduces an effective guided sampling strategy based on the drivers' visual search behavior on road and a continuous-curvature smooth method based on B-spline. The proposed algorithm is implemented on a real autonomous vehicle and verified against several different traffic scenarios. A large number of the experimental results demonstrate that our algorithm is feasible and efficient for on-road autonomous driving. Furthermore, the comparative test and statistical analyses illustrate that its excellent performance is superior to other previous algorithms.

  10. Young driver distraction: state of the evidence and directions for behavior change programs.

    Science.gov (United States)

    Buckley, Lisa; Chapman, Rebekah L; Sheehan, Mary

    2014-05-01

    Adolescent drivers are overrepresented in distraction-related motor vehicle crashes. A number of potential reasons for such an elevated risk include driving inexperience, high adoption of communication technology, increased peer involvement, and tendency to take risks, which render young drivers particularly vulnerable. Major legislative efforts in Graduated Licensing Systems that include passenger restrictions have shown positive effects. Restrictions on cell phone use are also being introduced; however, it is challenging to enforce such regulations. This article argues that such contextual, legislative interventions are an essential prevention strategy, but there is an unfilled need to introduce behavior change programs that may target adolescents, parents, and friends. A theoretical framework is applied in which risk and protective factors are identified from research within the contexts of community and jurisdiction. In the literature on distraction, social context and normative influences are key elements used to inform program design for adolescent drivers, with parental monitoring informing interventions targeting parents. Following from this assessment of the message content assessment, the design of strategies to deliver the messages is reviewed. In the current literature, school-based programs, simulations, and Web-delivered programs have been evaluated with supplementary strategies delivered by physicians and parents. Such developments are still at an early stage of development, and ultimately will need controlled implementation and evaluation studies. Of course, there is no likely single approach to prevent adolescent driver distraction. Complementary approaches such as the further development of technological interventions to manage phone use are needed.

  11. Analysis of Drivers'Behavior at Signalized Intersection%信号交叉口驾驶员行为博弈分析

    Institute of Scientific and Technical Information of China (English)

    黄选伟; 汪晶; 张邻

    2015-01-01

    为了研究车辆通过信号交叉口时的驾驶员决策行为,从博弈角度出发,根据影响驾驶员决策行为的性格因素,以及不同策略之间的势因素,通过时间细化,建立基于重复博弈下影响驾驶员决策行为的效用函数.通过驾驶员在行进过程中的决策行为,分析驾驶员获得的效用,得到动态博弈中驾驶员的最优决策.同时通过实例验证模型的可行性.例证表明:第一,对于冲动型的驾驶员在决策初始时刻最可能选择减速策略;第二,温和型的驾驶员选择加速或减速策略;第三,谨慎型的驾驶员选择减速策略.%In order to study the decision-making behavior of drivers at the signalized intersection, this study estab-lishes a utility function of drivers' driving behavior by reference to dynamic reduplicate game theory based on the drivers'personality that affects decision-making behavior and time refinement, and the relative potential factors among different strategies . According to the drivers'decision-making behavior in the process of driving and ana-lyzing the utility of the drivers'decision-making behavior, the drivers'optimal decision behaviors in a dynamic game are obtained, and the feasibility of the model is simultaneously verified. Experiments show that during deci-sion-making①impulsive drivers are more willing to choose deceleration strategy;②mild drivers prefer accelera-tion strategy or deceleration strategy;and③cautious drivers choose deceleration strategy.

  12. Road traffic accidents and self-reported Portuguese car driver's attitudes, behaviors, and opinions: Are they related?

    Science.gov (United States)

    Bon de Sousa, Teresa; Santos, Carolina; Mateus, Ceu; Areal, Alain; Trigoso, Jose; Nunes, Carla

    2016-10-02

    This study aims to characterize Portuguese car drivers in terms of demographic characteristics, driving experience, and attitudes, opinions, and behaviors concerning road traffic safety. Furthermore, associations between these characteristics and self-reported involvement in a road traffic accident as a driver in the last 3 years were analyzed. A final goal was to develop a final predictive model of the risk of suffering a road traffic accident. A cross-sectional analytic study was developed, based on a convenience sample of 612 car drivers. A questionnaire was applied by trained interviewers, embracing various topics related to road safety such as driving under the influence of alcohol or drugs, phone use while driving, speeding, use of advanced driver assistance systems, and the transport infrastructure and environment (European Project SARTRE 4, Portuguese version). From the 52 initial questions, 19 variables were selected through principal component analysis. Then, and in addition to the usual descriptive measures, logistic binary regression models were used in order to describe associations and to develop a predictive model of being involved in a road traffic accident. Of the 612 car drivers, 37.3% (228) reported being involved in a road traffic accident with damage or injury in the past 3 years. In this group, the majority were male, older than 65, with no children, not employed, and living in an urban area. In the multivariate model, several factors were identified: being widowed (vs. single; odds ratio [OR] = 3.478, 95% confidence interval [95% CI], 1.159-10.434); living in a suburban area (vs. a rural area; OR = 5.023, 95% CI, 2.260-11.166); having been checked for alcohol once in the last 3 years (vs. not checked; OR = 3.124, 95% CI, 2.040-4,783); and seldom drinking an energetic beverage such as coffee when tired (vs. always do; OR = 6.822, 95% CI, 2.619-17.769) all suffered a higher risk of being involved in a car accident. The results obtained with

  13. Modelling Drivers' Behaviour as a Crash Risk Reduction Process

    Directory of Open Access Journals (Sweden)

    Seyyed Mohammad Sadat Hoseini

    2008-05-01

    Full Text Available The evermore widespread use of microscopic traffic simulationin the analysis of road systems has refocused attention onsub models, including car-following and lane-changing models.In this research a microscopic model is developed whichcombines car-following and lane-changing models and describesdriver behaviour as a crash risk reduction process ofdrivers. This model has been simulated by a cellular automatasimulator and compared with the real data. It has been shownthat there is no reason to consider the model invalid for drivers'behaviour in the basic segments of freeways in Iran, duringnot-congested conditions. Considering that uncertainty of positionof vehicles is caused by their acceleration or deceleration, aprobability function is calibrated for calculating the presenceprobability of vehicles in their feasible cells. Multiplying thepresence probability and impact of crash, crash risk of cells iscalculated. As an application of the model, it has been shownthat when difference between vehicles brake deceleration increases,the total crash risk increases.

  14. Development of Accomodation Models for Soldiers in Vehicles: Driver

    Science.gov (United States)

    2014-09-01

    Ebert 2013). Posture and position data were recorded for male and female enlisted personnel at three Army posts as they sat in a driver mockup ...Figure 1). Figure 1. Driver and squad mockups . The current study used data from 145 men and women tested in the driver mockup . Table 1 lists...UNCLASSIFIED 10 Figure 2 shows the garb levels used for measurements in the mockup . At the Advanced Combat Uniform (ACU) level, Soldiers wore their own

  15. Modeling carbon dynamics and social drivers of bioenergy agroecosystems

    Science.gov (United States)

    Hunt, Natalie D.

    satellite data. The most important stakeholder in bioenergy sustainability and feasibility research is the farmer. Chapter 5 identified and measured the influence of bioenergy feedstock choice drivers using logistic regression choice models constructed from survey and geospatial data. The strongest choice drivers among farmers willing to participate in a proposed bioenergy feedstock production program included socioeconomic, biophysical, and environmental attitudes. Outcomes of this research will be useful in designing further bioenergy policy and economic incentives.

  16. The effect of stress and personality on dangerous driving behavior among Chinese drivers.

    Science.gov (United States)

    Ge, Yan; Qu, Weina; Jiang, Caihong; Du, Feng; Sun, Xianghong; Zhang, Kan

    2014-12-01

    The relationship between stress and road safety has been studied for many years, but the effect of global stress and its joint effect with personality on driving behavior have received little attention in previous studies. This study aimed to elucidate the impact of global stress and various personality traits on driving behavior. 242 drivers completed the Perceived Stress Scale-10 (PSS-10), the Dula Dangerous Driving Index (DDDI), and several personality trait scales related to anger, sensation seeking, and altruism. The results showed that perceived stress and sensation seeking were significantly correlated with the four subcategories of dangerous driving behavior, namely, negative cognitive/emotional driving (NCED), aggressive driving (AD), risky driving (RD), and drunk driving (DD). Moreover, anger was positively correlated with negative cognitive/emotional driving, aggressive driving, and risky driving, and altruism was negatively correlated with aggressive driving and drunk driving. Hierarchical multiple regressions were applied to analyze the mediating effect of personality traits, and the results showed that anger mediated the relationship between stress and dangerous driving behavior and that this mediating role was especially strong for negative cognitive/emotional driving and aggressive driving. Collectively, the results showed that stress is an important factor that can affect people's driving behavior but that personality traits mediate the effect of stress on driving behavior. The findings from this study regarding the relationship among stress, anger, and dangerous driving behavior could be applied in the development of intervention programs for stress and anger management in order to improve drivers' ability to manage emotional thoughts and adjust their behavior on the road.

  17. Cognitive Modeling of Social Behaviors

    Science.gov (United States)

    Clancey, William J.; Sierhuis, Maarten; Damer. Bruce; Brodsky, Boris

    2004-01-01

    The driving theme of cognitive modeling for many decades has been that knowledge affects how and which goals are accomplished by an intelligent being (Newell 1991). But when one examines groups of people living and working together, one is forced to recognize that whose knowledge is called into play, at a particular time and location, directly affects what the group accomplishes. Indeed, constraints on participation, including roles, procedures, and norms, affect whether an individual is able to act at all (Lave & Wenger 1991; Jordan 1992; Scribner & Sachs 1991). To understand both individual cognition and collective activity, perhaps the greatest opportunity today is to integrate the cognitive modeling approach (which stresses how beliefs are formed and drive behavior) with social studies (which stress how relationships and informal practices drive behavior). The crucial insight is that norms are conceptualized in the individual &nd as ways of carrying out activities (Clancey 1997a, 2002b). This requires for the psychologist a shift from only modeling goals and tasks - why people do what they do - to modeling behavioral patterns-what people do-as they are engaged in purposeful activities. Instead of a model that exclusively deduces actions from goals, behaviors are also, if not primarily, driven by broader patterns of chronological and located activities (akin to scripts). This analysis is particular inspired by activity theory (Leont ev 1979). While acknowledging that knowledge (relating goals and operations) is fundamental for intelligent behavior, activity theory claims that a broader driver is the person s motives and conceptualization of activities. Such understanding of human interaction is normative (i.e., viewed with respect to social standards), affecting how knowledge is called into play and applied in practice. Put another way, how problems are discovered and framed, what methods are chosen, and indeed who even cares or has the authority to act, are all

  18. 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.

  19. Non-planar driver's side rearview mirrors: A survey of mirror types and european driver experience and a driver behavior study on the influence of experience and driver age on gap acceptance and vehicle detection (final report)

    NARCIS (Netherlands)

    Vos, A.P. de

    2000-01-01

    Some European drivers have been using different types of convex, driver-side rear-view mirrors which provide a wider field-of-view than flat mirrors, but produce a minified image. With a minified image, some drivers may have difficulty judging distances and approach speeds. To assess the potential b

  20. Multijam Solutions in Traffic Models with Velocity-Dependent Driver Strategies

    DEFF Research Database (Denmark)

    Carter, Paul; Christiansen, Peter Leth; Gaididei, Yuri B.

    2014-01-01

    The optimal-velocity follow-the-leader model is augmented with an equation that allows each driver to adjust their target headway according to the velocity difference between the driver and the car in front. In this more detailed model, which is investigated on a ring, stable and unstable...

  1. Winterkill indicator model, Crop Condition Assessment Division (CCAD) data base interface driver, user's manual

    Science.gov (United States)

    Hansen, R. F. (Principal Investigator)

    1981-01-01

    Instructions are given for using the Winterkill indicator model CCAD data base interface driver. The purpose of the system is to interface the Winterkill Indicator Model with the CCAD operational data base. The interface driver routine decides what meteorological stations should be processed and calls the proper subroutines to process the stations.

  2. Wheat stress indicator model, Crop Condition Assessment Division (CCAD) data base interface driver, user's manual

    Science.gov (United States)

    Hansen, R. F. (Principal Investigator)

    1981-01-01

    The use of the wheat stress indicator model CCAD data base interface driver is described. The purpose of this system is to interface the wheat stress indicator model with the CCAD operational data base. The interface driver routine decides what meteorological stations should be processed and calls the proper subroutines to process the stations.

  3. Driver behavior in use of guide and logo signs under distraction and complex roadway conditions.

    Science.gov (United States)

    Kaber, David; Pankok, Carl; Corbett, Brendan; Ma, Wenqi; Hummer, Joseph; Rasdorf, William

    2015-03-01

    White-on-blue logo signs on the sides of highways are typically used to notify drivers of food, gas, and lodging at an upcoming interchange. The current research assessed driver performance and attention allocation in a simulated freeway driving task when exposed to six-panel logo signs, nine-panel logo signs, mileage guide signs, and roadway work zones both with and without an in-car navigation device. The objective was to identify the impact of signage types on driver behavior under realistic driving conditions. Results revealed glance durations and fixation frequencies to guide signs to be significantly lower than with six-panel and nine-panel logo signs, but no differences were found between six-panel and nine-panel logo signs. There were also statistical differences among the independent variables for speed deviation and lane deviation, but magnitudes were not large enough to be considered practically significant in terms of driving safety. Overall, there were minor differences in sign processing time between logo signs and mileage guide signs, but such differences did not translate to degradations in vehicle control.

  4. Description and manual for the use of DRIVER - an interactive modelling aid

    CSIR Research Space (South Africa)

    Furniss, PR

    1977-09-01

    Full Text Available The modelling aid DRIVER is described. It permits the interactive manipulation of the parameters and variables of difference models which are implemented as FORTRAN subroutines. Relationships in the model can be expressed as arbitrary functions. A...

  5. Driver Gaze Behavior Is Different in Normal Curve Driving and when Looking at the Tangent Point.

    Directory of Open Access Journals (Sweden)

    Teemu Itkonen

    Full Text Available Several steering models in the visual science literature attempt to capture the visual strategies in curve driving. Some of them are based on steering points on the future path (FP, others on tangent points (TP. It is, however, challenging to differentiate between the models' predictions in real-world contexts. Analysis of optokinetic nystagmus (OKN parameters is one useful measure, as the different strategies predict measurably different OKN patterns. Here, we directly test this prediction by asking drivers to either a "drive as they normally would" or b to "look at the TP". The design of the experiment is similar to a previous study by Kandil et al., but uses more sophisticated methods of eye-movement analysis. We find that the eye-movement patterns in the "normal" condition are indeed markedly different from the "tp" condition, and consistent with drivers looking at waypoints on the future path. This is the case for both overall fixation distribution, as well as the more informative fixation-by-fixation analysis of OKN. We find that the horizontal gaze speed during OKN corresponds well to the quantitative prediction of the future path models. The results also definitively rule out the alternative explanation that the OKN is produced by an involuntary reflex even while the driver is "trying" to look at the TP. The results are discussed in terms of the sequential organization of curve driving.

  6. Improved 2D Intelligent Driver Model simulating synchronized flow and evolution concavity in traffic flow

    CERN Document Server

    Tian, Junfang; Li, Geng; Treiber, Martin; Zhu, Chenqiang; Jia, Bin

    2016-01-01

    This paper firstly show that 2 Dimensional Intelligent Driver Model (Jiang et al., PloS one, 9(4), e94351, 2014) is not able to replicate the synchronized traffic flow. Then we propose an improved model by considering the difference between the driving behaviors at high speeds and that at low speeds. Simulations show that the improved model can reproduce the phase transition from synchronized flow to wide moving jams, the spatiotemporal patterns of traffic flow induced by traffic bottleneck, and the evolution concavity of traffic oscillations (i.e. the standard deviation of the velocities of vehicles increases in a concave/linear way along the platoon). Validating results show that the empirical time series of traffic speed obtained from Floating Car Data can be well simulated as well.

  7. Hybrid Model for Early Onset Prediction of Driver Fatigue with Observable Cues

    Directory of Open Access Journals (Sweden)

    Mingheng Zhang

    2014-01-01

    Full Text Available This paper presents a hybrid model for early onset prediction of driver fatigue, which is the major reason of severe traffic accidents. The proposed method divides the prediction problem into three stages, that is, SVM-based model for predicting the early onset driver fatigue state, GA-based model for optimizing the parameters in the SVM, and PCA-based model for reducing the dimensionality of the complex features datasets. The model and algorithm are illustrated with driving experiment data and comparison results also show that the hybrid method can generally provide a better performance for driver fatigue state prediction.

  8. Driver's behavioral adaptation to adaptive cruise control (ACC): the case of speed and time headway.

    Science.gov (United States)

    Bianchi Piccinini, Giulio Francesco; Rodrigues, Carlos Manuel; Leitão, Miguel; Simões, Anabela

    2014-06-01

    The Adaptive Cruise Control is an Advanced Driver Assistance System (ADAS) that allows maintaining given headway and speed, according to settings pre-defined by the users. Despite the potential benefits associated to the utilization of ACC, previous studies warned against negative behavioral adaptations that might occur while driving with the system activated. Unfortunately, up to now, there are no unanimous results about the effects induced by the usage of ACC on speed and time headway to the vehicle in front. Also, few studies were performed including actual users of ACC among the subjects. This research aimed to investigate the effect of the experience gained with ACC on speed and time headway for a group of users of the system. In addition, it explored the impact of ACC usage on speed and time headway for ACC users and regular drivers. A matched sample driving simulator study was planned as a two-way (2×2) repeated measures mixed design, with the experience with ACC as between-subjects factor and the driving condition (with ACC and manually) as within-subjects factor. The results show that the usage of ACC brought a small but not significant reduction of speed and, especially, the maintenance of safer time headways, being the latter result greater for ACC users, probably as a consequence of their experience in using the system. The usage of ACC did not cause any negative behavioral adaptations to the system regarding speed and time headway. Based on this research work, the Adaptive Cruise Control showed the potential to improve road safety for what concerns the speed and the time headway maintained by the drivers. The speed of the surrounding traffic and the minimum time headway settable through the ACC seem to have an important effect on the road safety improvement achievable with the system. Copyright © 2014 Elsevier Ltd. All rights reserved.

  9. Disentangling the drivers of coarse woody debris behavior and carbon gas emissions during fire

    Science.gov (United States)

    Zhao, Weiwei; van der Werf, Guido R.; van Logtestijn, Richard S. P.; van Hal, Jurgen R.; Cornelissen, Johannes H. C.

    2016-04-01

    The turnover of coarse woody debris, a key terrestrial carbon pool, plays fundamental roles in global carbon cycling. Biological decomposition and fire are two main fates for dead wood turnover. Compared to slow decomposition, fire rapidly transfers organic carbon from the earth surface to the atmosphere. Both a-biotic environmental factors and biotic wood properties determine coarse wood combustion and thereby its carbon gas emissions during fire. Moisture is a key inhibitory environmental factor for fire. The properties of dead wood strongly affect how it burns either directly or indirectly through interacting with moisture. Coarse wood properties vary between plant species and between various decay stages. Moreover, if we put a piece of dead wood in the context of a forest fuel bed, the soil and wood contact might also greatly affect their fire behavior. Using controlled laboratory burns, we disentangled the effects of all these driving factors: tree species (one gymnosperms needle-leaf species, three angiosperms broad-leaf species), wood decay stages (freshly dead, middle decayed, very strongly decayed), moisture content (air-dried, 30% moisture content in mass), and soil-wood contact (on versus 3cm above the ground surface) on dead wood flammability and carbon gas efflux (CO2 and CO released in grams) during fire. Wood density was measured for all coarse wood samples used in our experiment. We found that compared to other drivers, wood decay stages have predominant positive effects on coarse wood combustion (for wood mass burned, R2=0.72 when air-dried and R2=0.52 at 30% moisture content) and associated carbon gas emissions (for CO2andCO (g) released, R2=0.55 when air-dried and R2=0.42 at 30% moisture content) during fire. Thus, wood decay accelerates wood combustion and its CO2 and CO emissions during fire, which can be mainly attributed to the decreasing wood density (for wood mass burned, R2=0.91 when air-dried and R2=0.63 at 30% moisture content) as wood

  10. Test-retest reliability of the safe driving behavior measure for community-dwelling elderly drivers.

    Science.gov (United States)

    Song, Chiang-Soon; Lee, Joo-Hyun; Han, Sang-Woo

    2016-06-01

    [Purpose] The Safe Driving Behavior Measure (SDBM) is a self-report measurement tools that assesses the safe-driving behaviors of the elderly. The purpose of this study was to evaluate the test-retest reliability of the SDBM among community-dwelling elderly drivers. [Subjects and Methods] A total of sixty-one community-dwelling elderly were enrolled to investigate the reliability of the SDBM. The SDBM was assessed in two sessions that were conducted three days apart in a quiet and well-organized assessment room. That test-retest reliability of overall scores and three domain scores of the SDBM were statistically evaluated using intraclass correlation coefficients [ICC (2.1)]. Pearson correlation coefficients were used to quantify bivariate associations among the three domains of the SDBM. [Results] The SDBM demonstrated excellent rest-retest reliability for community-dwelling elderly drivers. The Cronbach alpha coefficients of the three domains of person-vehicle (0.979), person-environment (0.944), and person-vehicle-environment (0.971) of the SDBM indicate high internal consistency. [Conclusion] The results of this study suggest that the SDBM is a reliable measure for evaluating the safe- driving of automobiles by community-dwelling elderly, and is adequate for detecting changes in scores in clinical settings.

  11. The evaluation of effects on driver behavior and accidents of concentrated general enforcement on interurban roads in Israel.

    Science.gov (United States)

    Hakkert, A S; Gitelman, V; Cohen, A; Doveh, E; Umansky, T

    2001-01-01

    The study deals with the evaluation of the effects of a new deployment of the National Traffic Police in Israel--a concentrated general enforcement on 700 km of interurban roads, which contain 60% of all rural accidents and about half of the severe accident locations. The enforcement project began in April 1997 and lasted for 1 year, aiming at a 10% reduction of severe accidents on those roads. The evaluation study consisted of three main parts: (a) monitoring of everyday police operations on the project roads; (b) periodic evaluation of the project's influence on drivers' behavior and attitudes; and (c) the evaluation of accident changes within the project area, at the end of the project year. Speed measurements, performed before the police project launch, demonstrated that, depending on road type, up to 85% of drivers violated the rural road speed limits. Two rounds of field observations, before and during the project, took place at 32 sites throughout the project area and comprised eight behavior types: turning performance; signaling while turning; compliance with 'stop' and 'yield' signs; safety belt use by drivers and front-seat passengers, at the intersections; 'keeping to the right' on dual carriageway roads; and 'not-crossing of the white separating line' at single carriageway roads. A comparison revealed a general reduction in violation rates of most behaviors, during-the-project, except for compliance with 'stop' signs and signaling. Concurrently, two rounds of driver surveys were performed which examined the project's influence on the drivers' attitudes towards the police enforcement effectiveness and risk connected with traffic rule violations. An improvement was identified in perceived general level of police activity, during the project, whereas a lower or similar risk of apprehension was attributed by drivers to most specific violations of the traffic rules. Three groups of indices of police activity were estimated monthly during the study: inputs

  12. A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes.

    Science.gov (United States)

    Chen, Cong; Zhang, Guohui; Tarefder, Rafiqul; Ma, Jianming; Wei, Heng; Guan, Hongzhi

    2015-07-01

    Rear-end crash is one of the most common types of traffic crashes in the U.S. A good understanding of its characteristics and contributing factors is of practical importance. Previously, both multinomial Logit models and Bayesian network methods have been used in crash modeling and analysis, respectively, although each of them has its own application restrictions and limitations. In this study, a hybrid approach is developed to combine multinomial logit models and Bayesian network methods for comprehensively analyzing driver injury severities in rear-end crashes based on state-wide crash data collected in New Mexico from 2010 to 2011. A multinomial logit model is developed to investigate and identify significant contributing factors for rear-end crash driver injury severities classified into three categories: no injury, injury, and fatality. Then, the identified significant factors are utilized to establish a Bayesian network to explicitly formulate statistical associations between injury severity outcomes and explanatory attributes, including driver behavior, demographic features, vehicle factors, geometric and environmental characteristics, etc. The test results demonstrate that the proposed hybrid approach performs reasonably well. The Bayesian network reference analyses indicate that the factors including truck-involvement, inferior lighting conditions, windy weather conditions, the number of vehicles involved, etc. could significantly increase driver injury severities in rear-end crashes. The developed methodology and estimation results provide insights for developing effective countermeasures to reduce rear-end crash injury severities and improve traffic system safety performance.

  13. Steering disturbance rejection using a physics-based neuromusculoskeletal driver model

    Science.gov (United States)

    Mehrabi, Naser; Sharif Razavian, Reza; McPhee, John

    2015-10-01

    The aim of this work is to develop a comprehensive yet practical driver model to be used in studying driver-vehicle interactions. Drivers interact with their vehicle and the road through the steering wheel. This interaction forms a closed-loop coupled human-machine system, which influences the driver's steering feel and control performance. A hierarchical approach is proposed here to capture the complexity of the driver's neuromuscular dynamics and the central nervous system in the coordination of the driver's upper extremity activities, especially in the presence of external disturbance. The proposed motor control framework has three layers: the first (or the path planning) plans a desired vehicle trajectory and the required steering angles to perform the desired trajectory; the second (or the musculoskeletal controller) actuates the musculoskeletal arm to rotate the steering wheel accordingly; and the final layer ensures the precision control and disturbance rejection of the motor control units. The physics-based driver model presented here can also provide insights into vehicle control in relaxed and tensed driving conditions, which are simulated by adjusting the driver model parameters such as cognition delay and muscle co-contraction dynamics.

  14. 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 diff

  15. A review of human sensory dynamics for application to models of driver steering and speed control.

    Science.gov (United States)

    Nash, Christopher J; Cole, David J; Bigler, Robert S

    2016-06-01

    In comparison with the high level of knowledge about vehicle dynamics which exists nowadays, the role of the driver in the driver-vehicle system is still relatively poorly understood. A large variety of driver models exist for various applications; however, few of them take account of the driver's sensory dynamics, and those that do are limited in their scope and accuracy. A review of the literature has been carried out to consolidate information from previous studies which may be useful when incorporating human sensory systems into the design of a driver model. This includes information on sensory dynamics, delays, thresholds and integration of multiple sensory stimuli. This review should provide a basis for further study into sensory perception during driving.

  16. Driver Vision Based Perception-Response Time Prediction and Assistance Model on Mountain Highway Curve

    Science.gov (United States)

    Li, Yi; Chen, Yuren

    2016-01-01

    To make driving assistance system more humanized, this study focused on the prediction and assistance of drivers’ perception-response time on mountain highway curves. Field tests were conducted to collect real-time driving data and driver vision information. A driver-vision lane model quantified curve elements in drivers’ vision. A multinomial log-linear model was established to predict perception-response time with traffic/road environment information, driver-vision lane model, and mechanical status (last second). A corresponding assistance model showed a positive impact on drivers’ perception-response times on mountain highway curves. Model results revealed that the driver-vision lane model and visual elements did have important influence on drivers’ perception-response time. Compared with roadside passive road safety infrastructure, proper visual geometry design, timely visual guidance, and visual information integrality of a curve are significant factors for drivers’ perception-response time. PMID:28042851

  17. Driver Vision Based Perception-Response Time Prediction and Assistance Model on Mountain Highway Curve

    Directory of Open Access Journals (Sweden)

    Yi Li

    2016-12-01

    Full Text Available To make driving assistance system more humanized, this study focused on the prediction and assistance of drivers’ perception-response time on mountain highway curves. Field tests were conducted to collect real-time driving data and driver vision information. A driver-vision lane model quantified curve elements in drivers’ vision. A multinomial log-linear model was established to predict perception-response time with traffic/road environment information, driver-vision lane model, and mechanical status (last second. A corresponding assistance model showed a positive impact on drivers’ perception-response times on mountain highway curves. Model results revealed that the driver-vision lane model and visual elements did have important influence on drivers’ perception-response time. Compared with roadside passive road safety infrastructure, proper visual geometry design, timely visual guidance, and visual information integrality of a curve are significant factors for drivers’ perception-response time.

  18. The contribution of family climate for road safety and social environment to the reported driving behavior of young drivers.

    Science.gov (United States)

    Taubman-Ben-Ari, Orit; Katz-Ben-Ami, Liat

    2012-07-01

    Two studies examined the contribution of the new concept of "family climate for road safety" and several aspects of the social environment to the driving behavior of young drivers. Study 1 (n=120) investigated the effect of the seven dimensions of the family climate for road safety - Modeling, Feedback, Communication, Monitoring, Noncommitment, Messages, and Limits - as well as a general tendency to conform to authority, and peer pressure. Study 2 (n=154) examined the dimensions of family climate for road safety and perceived popularity of reckless driving among peers. The findings indicate associations both between the familial and the social aspects, and between these variables and driving styles, willingness to take risks while driving, reckless driving habits, and personal commitment to safe driving. Positive aspects of the parent-child relationship and high levels of conformity to authority were related to greater endorsement of the careful driving style, whereas family's noncommitment to safety, higher peer pressure, and lower conformity to authority were associated with greater endorsement of the reckless driving style. In addition, positive aspects of the family climate for road safety and lower perceived popularity of reckless driving among friends were associated with more personal commitment to safe driving and a lower tendency for risky driving. The discussion stresses the need to look at the complex set of antecedents of reckless driving among young drivers and addresses the practical implications of the findings for road safety. Copyright © 2012 Elsevier Ltd. All rights reserved.

  19. The role of personality traits and driving experience in self-reported risky driving behaviors and accident risk among Chinese drivers.

    Science.gov (United States)

    Tao, Da; Zhang, Rui; Qu, Xingda

    2017-02-01

    The purpose of this study was to explore the role of personality traits and driving experience in the prediction of risky driving behaviors and accident risk among Chinese population. A convenience sample of drivers (n=511; mean (SD) age=34.2 (8.8) years) completed a self-report questionnaire that was designed based on validated scales for measuring personality traits, risky driving behaviors and self-reported accident risk. Results from structural equation modeling analysis demonstrated that the data fit well with our theoretical model. While showing no direct effects on accident risk, personality traits had direct effects on risky driving behaviors, and yielded indirect effects on accident risk mediated by risky driving behaviors. Both driving experience and risky driving behaviors directly predicted accident risk and accounted for 15% of its variance. There was little gender difference in personality traits, risky driving behaviors and accident risk. The findings emphasized the importance of personality traits and driving experience in the understanding of risky driving behaviors and accident risk among Chinese drivers and provided new insight into the design of evidence-based driving education and accident prevention interventions.

  20. 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.

  1. A longitudinal driver model for modelling cooperative road-side and in-vehicle systems with the its modeller

    NARCIS (Netherlands)

    Klunder, G.; Poelman, M.; Arem, B. van

    2006-01-01

    The need for evaluation of ITS systems requires new modelling tools that allow a detailed modelling of both the roadside and the in-vehicle systems. One of the elements needed is a reliable longitudinal driver model. In this paper we outline the requirements of such a model and review the models tha

  2. Human Behavior Model Based Control Program for ACC Mobile Robot

    Directory of Open Access Journals (Sweden)

    Claudiu Pozna

    2006-07-01

    Full Text Available Present work is a part of the ACC autonomous car project. This paper will focuson the control program architecture. To design this architecture we will start from thehuman driver behavior model. Using this model we have constructed a three level controlprogram. Preliminary results are presented.

  3. A Qualitative Study of Migrant-related Stressors, Psychosocial Outcomes and HIV Risk Behavior among Truck Drivers in Zambia

    Science.gov (United States)

    Ncube, Nomagugu; Simona, Simona J.; Kansankala, Brian; Sinkala, Emmanuel; Raidoo, Jasmin

    2017-01-01

    Truck drivers are part of mobile populations which have been noted as a key population at risk of HIV in Zambia. This study was aimed at 1) determining Potentially Traumatic Events (PTEs), labor migrant-related stressors, psychosocial problems and HIV risk behaviors among truck drivers in Zambia and 2) examining the relationship between PTEs, migrant-related stressors, psychosocial outcomes and HIV sexual risk behavior among truck drivers in Zambia. We conducted fifteen semi-structured interviews with purposively sampled male truck drivers at trucking companies in Lusaka, Zambia. Findings indicate that truck drivers experience multiple stressors and potentially traumatic incidences, including delays and long waiting hours at borders, exposure to crime and violence, poverty, stress related to resisting temptation of sexual interactions with sex workers or migrant women, and job-related safety concerns. Multiple psychosocial problems such as intimate partner violence, loneliness, anxiety and depression-like symptoms were noted. Transactional sex, coupled with inconsistent condom use were identified as HIV sexual risk behaviors. Findings suggest the critical need to develop HIV prevention interventions which account for mobility, potentially traumatic events, psychosocial problems, and the extreme fear of HIV testing among this key population. PMID:27681145

  4. 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.

  5. A modified two-lane traffic model considering drivers' personality

    Science.gov (United States)

    Zhu, H. B.; Zhang, N. X.; Wu, W. J.

    2015-06-01

    Based on the two-lane traffic model proposed by Chowdhury et al., a modified traffic model (R-STCA model, for short) is presented, in which the new symmetric lane changing rules are introduced by considering driving behavioral difference and dynamic headway. After the numerical simulation, a broad scattering of simulated points is exhibited in the moderate density region on the flow-density plane. The synchronized flow phase accompanied with the wide moving jam phase is reproduced. The spatial-temporal profiles indicate that the vehicles move according to the R-STCA model can change lane more easily and more realistically. Then vehicles are convenient to get rid of the slow vehicles that turn into plugs ahead, and hence the capacity increases. Furthermore the phenomenon of the high speed car-following is discovered by using the R-STCA model, which has been already observed in the traffic measured data. All these results indicate that the presented model is reasonable and more realistic.

  6. Modelling driver behaviour towards innovative warning devices at railway level crossings.

    Science.gov (United States)

    Tey, Li-Sian; Wallis, Guy; Cloete, Steven; Ferreira, Luis

    2013-03-01

    Improving safety at railway level crossings is costly and as funds are often limited, it is important to search for cost-effective, evidence-based solutions. The effect that the many existing alternative systems have on driver behaviour is not always known. This paper compares driver behaviour towards two novel warning devices (rumble strips and in-vehicle audio warning) at railway level crossings with two conventional warning devices (flashing light and stop sign). Regression models were developed to reflect driver's responses towards the four different types of devices based on data collected from a driving simulation experiment. The regression models include a binary choice model for predicting the probability of a driver stopping or driving through a railway crossing, as well as mixed regression models for predicting the moment at which a driver will produce specific behavioural responses before stopping at a crossing (e.g. initiation of accelerator release and application of foot-pedal brake). Violation results indicated the active systems produced much higher levels of driver compliance than passive devices. Contributing factors, such as age, gender, speed and types of warning devices were found significant at different approach stages to the level crossings. With the application of such behavioural models and traffic conflict techniques in microscopic simulation tools, traffic safety indicators, such as collision likelihood and time-to-collision can be estimated. From these, relative safety comparisons for the different traffic devices are derived. Copyright © 2012 Elsevier Ltd. All rights reserved.

  7. Effect of Educational Program to Decrease Substance Abuse among Suburban Bus Drivers Based on Theory of Planned Behavior

    Directory of Open Access Journals (Sweden)

    B. Moeini

    2015-01-01

    Full Text Available Introduction & Objective: Driving under the influence of drugs is considered a social pathology that has adverse effects on a society. This study aimed to investigate the effect of substance abuse educational program among the bus drivers on the basis of the theory of planned be-havior. Materials & Methods: This quasi-experimental study was conducted on 80 suburban bus drivers working at Hamadan transportation terminal. The bus drivers were randomly divided in two equal groups (intervention and control. Intervention program design was implemented after diagnostic evaluation. The effect of educational intervention on behavior was assessed two months after the last training session. SPSS -16 was employed for data analysis. Results: After the educational intervention, the average rates of the constructs of the theory of planned behavior in the intervention group significantly increased but these changes were not significant in the control group: attitude (t=9.53, P=0.000, subjective Norms (t=9.59, P=0.000, perceived behavioral control (t=-4.14, P =0.000. Also, behavioral intention to substance abuse avoidance and current behavior for substance abuse significantly decreased in the intervention group as compared to the control group (P<0.05. Behavioral intention and current behavior in the intervention group subsided from 15 and 12 people before the educational intervention to 3 and 0 people at the end of the educational program, respec-tively. Conclusion: The results showed that using the theory of planned behavior along with the train-ing skills strategies to resist drug abuse has a significant impact to create a psychiatric immu-nization and substance refusal in drivers. (Sci J Hamadan Univ Med Sci 2015; 21 (4:330-340

  8. Us and me : team identification and individual differentiation as complementary drivers of team members' citizenship and creative behaviors

    NARCIS (Netherlands)

    Janssen, O.; Huang, X

    2008-01-01

    The authors investigate team identification and individual differentiation as complementary drivers of team members' citizenship and creative behavior. As hypothesized, the results of a survey among 157 middle-management team members show team identification to be positively related to citizenship b

  9. Us and me : team identification and individual differentiation as complementary drivers of team members' citizenship and creative behaviors

    NARCIS (Netherlands)

    Janssen, O.; Huang, X

    2008-01-01

    The authors investigate team identification and individual differentiation as complementary drivers of team members' citizenship and creative behavior. As hypothesized, the results of a survey among 157 middle-management team members show team identification to be positively related to citizenship b

  10. Us and me : team identification and individual differentiation as complementary drivers of team members' citizenship and creative behaviors

    NARCIS (Netherlands)

    Janssen, O.; Huang, X

    The authors investigate team identification and individual differentiation as complementary drivers of team members' citizenship and creative behavior. As hypothesized, the results of a survey among 157 middle-management team members show team identification to be positively related to citizenship

  11. What if it Suddenly Fails? Behavioral Aspects of Advanced Driver Assistant Systems on the Example of Local Danger Alerts

    NARCIS (Netherlands)

    Mahr, Angela; Cao, Yujia; Theune, Mariët; Dimitrova-Krause, Veronika; Schwartz, Tim; Müller, Christian; Coelho, Helder; Studer, Rudi; Wooldridge, Michael

    2010-01-01

    Many researchers argue, in assessing the benefits of Advanced Driver Assistance Systems (ADAS) it has to be taken into account that any gains in terms of security may be again reduced by the fact they affect the drivers’ behavior. In this paper, we present results of a driving simulation study in wh

  12. Behavioral Modeling of Memcapacitor

    OpenAIRE

    D. Biolek; Z. Biolek; V. Biolkova

    2011-01-01

    Two behavioral models of memcapacitor are developed and implemented in SPICE-compatible simulators. Both models are related to the charge-controlled memcapacitor, the capacitance of which is controlled by the amount of electric charge conveyed through it. The first model starts from the state description of memcapacitor whereas the second one uses the memcapacitor constitutive relation as the only input data. Results of transient analyses clearly show the basic fingerprints of the memcapacitor.

  13. Behavioral Modeling of Memcapacitor

    Directory of Open Access Journals (Sweden)

    D. Biolek

    2011-04-01

    Full Text Available Two behavioral models of memcapacitor are developed and implemented in SPICE-compatible simulators. Both models are related to the charge-controlled memcapacitor, the capacitance of which is controlled by the amount of electric charge conveyed through it. The first model starts from the state description of memcapacitor whereas the second one uses the memcapacitor constitutive relation as the only input data. Results of transient analyses clearly show the basic fingerprints of the memcapacitor.

  14. 合乘模式下司机收入公平模型及仿真%Driver Income Equity Model and Simulation under Carpooling Mode

    Institute of Scientific and Technical Information of China (English)

    张薇; 何瑞春; 肖强; 马昌喜

    2015-01-01

    针对出租车合乘模式下司机的收入问题,建立了合乘模式下司机收入公平心理模型,采用公平理论分析了司机的心理及行为,通过仿真计算,分析了合乘模式下乘客总需求量及司机公平心理对司机收入的影响.研究结果表明,乘客总需求对合乘模式下司机总体的平均收入有较大的影响,合适的供需比下实施合乘才能提高司机收入;在供需比较大时,司机争抢乘客的行为会导致司机个体收入差距增大,部分司机收入降低的现象;为成功实施合乘模式,必须考虑当地出租车市场的供需比情况,并且建立合理的措施以防范司机争抢乘客的行为出现.所得结论对出租车合乘政策的制定与管理有一定的指导意义.%Considering taxi driver psychology for equity, driver income under taxi carpooling mode is researched. Equity psychology model of driver income under carpooling mode is established, and psychology and behavior of drivers are analyzed based on equity theory. Then the influence of total passenger demand and driver behavior on income is analyzed through simulation. The results show that, the influence of total passengers demand on driver average income is large, and the appropriate ratio of supply and demand is the key factor of increasing driver income; when the ratio is big, the driver behavior for passengers causes the gap between drivers income increasing and some drivers income lowing; in order to implement successfully carpooling, it is necessary to consider the ratio of supply and demand of local taxi market, and establish reasonable measures to prevent driver behavior for passengers. These conclusions have a certain guiding significance to formulating taxi policy.

  15. Driver behavior during bicycle passing maneuvers in response to a Share the Road sign treatment.

    Science.gov (United States)

    Kay, Jonathan J; Savolainen, Peter T; Gates, Timothy J; Datta, Tapan K

    2014-09-01

    The interaction of motorists and bicyclists, particularly during passing maneuvers, is an area of concern to the bicycle safety community as there is a general perception that motor vehicle drivers may not share the road effectively with bicyclists. This is a particular concern on road sections with centerline rumble strips where motorists are prone to crowd bicyclists during passing events. One potential countermeasure to address this concern is the use of a bicycle warning sign with a "Share the Road" plaque. This paper presents the results of a controlled field evaluation of this sign treatment, which involved an examination of driver behavior while overtaking bicyclists. A series of field studies were conducted concurrently on two segments of a high-speed, rural two-lane highway. These segments were similar in terms of roadway geometry, traffic volumes, and other relevant factors, except that one of the segments included centerline rumble strips while the other did not. A before-and-after study design was utilized to examine changes in motor vehicle lateral placement and speed at the time of the passing event as they relate to the presence of centerline rumble strips and the sign treatment. Centerline rumble strips generally shifted vehicles closer to the bicyclists during passing maneuvers, though the magnitude of this effect was marginal. The sign treatment was found to shift motor vehicles away from the rightmost lane positions, though the signs did not significantly affect the mean buffer distance between the bicyclists and passing motorists or the propensity of crowding events during passing. The sign treatment also resulted in a 2.5miles/h (4.0km/h) reduction in vehicle speeds. Vehicle type, bicyclist position, and the presence of opposing traffic were also found to affect lateral placement and speed selection during passing maneuvers.

  16. Who is a dangerous driver? Socio-demographic and personal determinants of risky traffic behavior

    Directory of Open Access Journals (Sweden)

    Aleksandra Peplińska

    2015-08-01

    Full Text Available Background The aim of this study was to search for comprehensive socio-demographic and personal (personality and temperamental determinants of risky on-the-road behavior. Based on the results of previous studies, we assumed that the main predictors of dangerous traffic behavior include: internal locus of control, sensation seeking, risk seeking and risk acceptance, as well as high self-esteem, a low level of reactivity combined with a high level of endurance and activity (which together determine a strong need for stimulation and a preference for hedonistic values; and among socio-demographic variables – age, gender, education and duration of having a driving license. Participants and procedure The study included a group of 380 participants, aged between 19 and 61 years (Me = 24. In order to verify the hypothesis, a battery of research tools measuring personality and temperamental variables was adopted, namely: the Formal Characteristics of Behavior – Temperament Questionnaire, Rotter I-E Scale, Risk Acceptance Scale, Stimulating-Instrumental Risk Inventory, Scheler Value Scale, Zuckerman Sensation Seeking Scale and Rosenberg Self-Esteem Scale. Results The dangerous driver syndrome was found to be promoted by high levels of experience and sensation seeking, low levels of tolerance to boredom and monotony, high need for stimulating risk and high risk acceptance, high self-esteem, a preference for hedonistic values coupled with aversion towards moral values, as well as low sensory sensitivity, and was especially visible among older men with short driving experience. Conclusions It can be concluded that both socio-demographic and psychological variables, such as temperament and personality, are significant predictors of dangerous traffic behavior.

  17. Taxi drivers' views on risky driving behavior in Tehran: a qualitative study using a social marketing approach.

    Science.gov (United States)

    Shams, Mohsen; Shojaeizadeh, Davoud; Majdzadeh, Reza; Rashidian, Arash; Montazeri, Ali

    2011-05-01

    The use of the social marketing approach for public health issues is increasing. This approach uses marketing concepts borrowed from the principles of commercial marketing to promote beneficial health behaviors. In this qualitative study, four focus groups involving 42 participants were used in consumer research to explore taxi drivers' views on the driving situation and the determinants of risky driving behaviors in Tehran, as well as to gather their ideas for developing a social marketing program to reduce risky driving behaviors among taxi drivers in Tehran, Iran. Participants were asked to respond to questions that would guide the development of a marketing mix, or four Ps (product, price, place and promotion). The discussions determined that the program product should involve avoiding risky driving behaviors through increased attention to driving. They pointed out that developing and communicating with a well-designed persuasive message meant to draw their attention to driving could affect their driving behaviors. In addition, participants identified price, place and promotion strategies. They offered suggestions for marketing nonrisky driving to the target audience. The focus group discussions generated important insights into the values and the motivations that affect consumers' decisions to adopt the product. The focus group guided the development of a social marketing program to reduce risky driving behaviors in taxi drivers in Tehran, Iran. Copyright © 2010 Elsevier Ltd. All rights reserved.

  18. 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

    This study focuses on the propensity of drivers to engage in crash avoidance maneuvers in relation to driver attributes, critical events, crash characteristics, vehicles involved, road characteristics and environmental attributes. Five alternative actions involving emergency lateral and speed...... 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...... for the analysis are retrieved from the General Estimates System (GES) crash database for the year 2009. Results show that (i) the nature of the critical event that made the crash imminent influences the choice of crash avoidance maneuvers, (ii) women and elderly have a lower propensity to conduct crash avoidance...

  19. The Richter Scale of Reduction: decoupling management and climatic related drivers of water conservation behavior

    Science.gov (United States)

    Rippy, Megan; Hemati, Azadeh; Grant, Stanley

    2016-04-01

    As global populations grow, cities in drought prone regions of the world such as South East Australia are faced with escalating water scarcity and water security challenges. The management approaches geared towards addressing these challenges are diverse, and background climatic variability further complicates the story. Here we use Melbourne, a city of 4.3 million people in South East Australia that recently faced and overcame a > 10 year "Millennium" drought, as a test case for evaluating the relative importance of various management-related and climatic factors in driving reductions in municipal water consumption (>50% in 12 years). Our analysis suggests that Melbourne's declining municipal consumption cannot be explained by potable substitution alone, as reductions in municipal consumption were not matched by increased use of alternative sources (e.g., urban rain or recycled water). Savings from non revenue water (NRW) reduction (through leak reduction and improved metering) also fell short of the total savings achieved during the drought. In the final analysis, conservation behavior emerged as the dominant driver of municipal water savings, forming a so-called "Richter Scale of Reduction" with conservation saving ~10 fold more water than NRW reduction, which in turn saved ~10 fold more water than alternative water sources. We also used wavelet analysis to illustrate that conservation behavior responds to climate variability at a variety of frequencies (annual-decadal and longer) which correspond to perturbations that impact water system vulnerability and sustainability. Interestingly the shared power of climatic and conservation responses declined as the drought progressed, perhaps reflecting the adoption of more consistent conservation behavior as the drought became increasingly severe.

  20. A method to model anticipatory postural control in driver braking events.

    Science.gov (United States)

    Östh, Jonas; Eliasson, Erik; Happee, Riender; Brolin, Karin

    2014-09-01

    Human body models (HBMs) for vehicle occupant simulations have recently been extended with active muscles and postural control strategies. Feedback control has been used to model occupant responses to autonomous braking interventions. However, driver postural responses during driver initiated braking differ greatly from autonomous braking. In the present study, an anticipatory postural response was hypothesized, modelled in a whole-body HBM with feedback controlled muscles, and validated using existing volunteer data. The anticipatory response was modelled as a time dependent change in the reference value for the feedback controllers, which generates correcting moments to counteract the braking deceleration. The results showed that, in 11 m/s(2) driver braking simulations, including the anticipatory postural response reduced the peak forward displacement of the head by 100mm, of the shoulder by 30 mm, while the peak head flexion rotation was reduced by 18°. The HBM kinematic response was within a one standard deviation corridor of corresponding test data from volunteers performing maximum braking. It was concluded that the hypothesized anticipatory responses can be modelled by changing the reference positions of the individual joint feedback controllers that regulate muscle activation levels. The addition of anticipatory postural control muscle activations appears to explain the difference in occupant kinematics between driver and autonomous braking. This method of modelling postural reactions can be applied to the simulation of other driver voluntary actions, such as emergency avoidance by steering.

  1. A traffic flow cellular automaton model to considering drivers' learning and forgetting behaviour

    Institute of Scientific and Technical Information of China (English)

    Ding Jian-Xun; Huang Hai-Jun; Tian Qiong

    2011-01-01

    It is known that the commonly used NaSch cellular automaton (CA) model and its modifications can help explain the internal causes of the macro phenomena of traffic flow. However, the randomization probability of vehicle velocity used in these models is assumed to be an exogenous constant or a conditional constant, which cannot reflect the learning and forgetting behaviour of drivers with historical experiences. This paper further modifies the NaSch model by enabling the randomization probability to be adjusted on the bases of drivers' memory. The Markov properties of this modified model are discussed. Analytical and simulation results show that the traffic fundamental diagrams can be indeed improved when considering drivers' intelligent behaviour. Some new features of traffic are revealed by differently combining the model parameters representing learning and forgetting behaviour.

  2. BEHAVIORAL MODELS OF PSYCHOSISA

    Directory of Open Access Journals (Sweden)

    Parle Milind

    2013-07-01

    Full Text Available Existing research into schizophrenia has remained highly fragmented, much like the clinical presentation of the disease itself. Differing theories as to the cause and progression of schizophrenia, as well as the heterogeneity of clinical symptoms, have made it difficult to develop a coherent framework suitable for animal modeling. However, a few animal models have been developed to explore various causative theories and to test specific mechanistic hypotheses. Historically, these models have been based on the manipulation of neurotransmitter systems believed to be involved in schizophrenia. In recent years, the emphasis has shifted to targeting relevant brain regions in an attempt to explore potential etiologic hypotheses. In the present review article, we have described in detail various behavioral models available in literature for screening of antipsychotic agents. In the next article, we propose to focus on chemical induced psychosis (Pharmacological models. We have highlighted the principle, end point, brief procedures, merits and demerit of all the behavioral models in the foregoing pages Emphasis is placed on the critical evaluation of currently available models because these models help to shape the direction of future research.

  3. Effect of Driver Behavior on Spatiotemporal Congested Traffic Patterns at Highway Bottlenecks in the Framework of Three-Phase Traffic Theory

    CERN Document Server

    Kerner, Boris S

    2010-01-01

    We present results of numerical simulations of the effect of driver behavior on spatiotemporal congested traffic patterns that result from traffic breakdown at an on-ramp bottleneck. The simulations are made with the Kerner-Klenov stochastic traffic flow model in the framework of three-phase traffic theory. Different diagrams of congested patterns at the bottleneck associated with different driver behavioral characteristics are found and compared each other. An adaptive cruise control (ACC) in the framework of three-phase traffic theory introduced by the author (called a "driver alike ACC" (DA-ACC)) is discussed. The effect of DA-ACC-vehicles on traffic flow, in which without the DA-ACC-vehicles traffic congestion occurs at the bottleneck, is numerically studied. We show that DA-ACC-vehicles improve traffic flow considerably without any reduction in driving comfort. It is found that there is a critical percentage of DA-ACC-vehicles in traffic flow: If the percentage of the DA-ACC-vehicle exceeds the critical ...

  4. Research on optimal driver steering model based on Multi-Point preview

    Science.gov (United States)

    Gu, Jun; Ma, Aijing

    2017-08-01

    In this paper, multi-point preview control algorithm is applied to driver steering control model. This paper builds multi-point preview road model in the form of state shift register. Based on the linear quadratic regulator (LQR) optimal control theory it optimizes driver steering control model with multi-point preview. Meanwhile, in the Matlab Simulink environment, based on vehicle system dynamics and optimal control theory, different preview points and weighted coefficients are simulated to study the influence of driver steering model. The simulation results show that the multi-point preview control mode has excellent driving performance. And in this paper, the main parameters affecting the preview control algorithm such as speed, preview weighted coefficients and the number of preview points and so on are discussed.

  5. A smartphone based method to enhance road pavement anomaly detection by analyzing the driver behavior

    NARCIS (Netherlands)

    Seraj, Fatjon; Zhang, Kui; Türkes, Okan; Meratnia, Nirvana; Havinga, Paul J.M.

    2015-01-01

    This paper introduces a method to detect road anomalies by analyzing driver behaviours. The analysis is based on the data and the features extracted from smartphone inertial sensors to calculate the angle of swerving and also based on distinctive states of a driver behaviour event. A novel approach

  6. An extended macro traffic flow model accounting for the driver's bounded rationality and numerical tests

    Science.gov (United States)

    Tang, Tie-Qiao; Huang, Hai-Jun; Shang, Hua-Yan

    2017-02-01

    In this paper, we propose a macro traffic flow model to explore the effects of the driver's bounded rationality on the evolutions of traffic waves (which include shock and rarefaction waves) and small perturbation, and on the fuel consumption and emissions (that include CO, HC and NOX) during the evolution process. The numerical results illustrate that considering the driver's bounded rationality can prominently smooth the wavefront of the traffic waves and improve the stability of traffic flow, which shows that the driver's bounded rationality has positive impacts on traffic flow; but considering the driver's bounded rationality reduces the fuel consumption and emissions only at the upstream of the rarefaction wave while enhances the fuel consumption and emissions under other situations, which shows that the driver's bounded rationality has positive impacts on the fuel consumption and emissions only at the upstream of the rarefaction wave, while negative effects on the fuel consumption and emissions under other situations. In addition, the numerical results show that the driver's bounded rationality has little prominent impact on the total fuel consumption, and emissions during the whole evolution of small perturbation.

  7. Impact of texting on young drivers' behavior and safety on urban and rural roads through a simulation experiment.

    Science.gov (United States)

    Yannis, George; Laiou, Alexandra; Papantoniou, Panagiotis; Christoforou, Charalambos

    2014-06-01

    This research aims to investigate the impact of texting on the behavior and safety of young drivers on urban and rural roads. A driving simulator experiment was carried out in which 34 young participants drove in different driving scenarios; specifically, driving in good weather, in raining conditions, in daylight and in night were examined. Lognormal regression methods were used to investigate the influence of texting as well as various other parameters on the mean speed and mean reaction time. Binary logistic methods were used to investigate the influence of texting use as well as various other parameters in the probability of an accident. It appears that texting leads to statistically significant decrease of the mean speed and increase of the mean reaction time in urban and rural road environment. Simultaneously, it leads to an increased accident probability due to driver distraction and delayed reaction at the moment of the incident. It appeared that drivers using mobile phones with a touch screen present different driving behavior with respect to their speed, however, they had an even higher probability of being involved in an accident. The analysis of the distracted driving performance of drivers who are texting while driving may allow for the identification of measures for the improvement of driving performance (e.g., restrictive measures, training and licensing, information campaigns). The identification of some of the parameters that have an impact on the behavior and safety of young drivers concerning texting and the consequent results can be exploited by policy decision makers in future efforts for the improvement of road safety. Copyright © 2014 Elsevier Ltd. All rights reserved.

  8. A mediation model linking dispatcher leadership and work ownership with safety climate as predictors of truck driver safety performance.

    Science.gov (United States)

    Zohar, Dov; Huang, Yueng-hsiang; Lee, Jin; Robertson, Michelle

    2014-01-01

    The study was designed to test the effect of safety climate on safety behavior among lone employees whose work environment promotes individual rather than consensual or shared climate perceptions. The paper presents a mediation path model linking psychological (individual-level) safety climate antecedents and consequences as predictors of driving safety of long-haul truck drivers. Climate antecedents included dispatcher (distant) leadership and driver work ownership, two contextual attributes of lone work, whereas its proximal consequence included driving safety. Using a prospective design, safety outcomes, consisting of hard-braking frequency (i.e. traffic near-miss events) were collected six months after survey completion, using GPS-based truck deceleration data. Results supported the hypothesized model, indicating that distant leadership style and work ownership promote psychological safety climate perceptions, with subsequent prediction of hard-braking events mediated by driving safety. Theoretical and practical implications for studying safety climate among lone workers in general and professional drivers in particular are discussed.

  9. Global and Regional Ecosystem Modeling: Databases of Model Drivers and Validation Measurements

    Energy Technology Data Exchange (ETDEWEB)

    Olson, R.J.

    2002-03-19

    Understanding global-scale ecosystem responses to changing environmental conditions is important both as a scientific question and as the basis for making policy decisions. The confidence in regional models depends on how well the field data used to develop the model represent the region of interest, how well the environmental model driving variables (e.g., vegetation type, climate, and soils associated with a site used to parameterize ecosystem models) represent the region of interest, and how well regional model predictions agree with observed data for the region. To assess the accuracy of global model forecasts of terrestrial carbon cycling, two Ecosystem Model-Data Intercomparison (EMDI) workshops were held (December 1999 and April 2001). The workshops included 17 biogeochemical, satellite-driven, detailed process, and dynamic vegetation global model types. The approach was to run regional or global versions of the models for sites with net primary productivity (NPP) measurements (i.e., not fine-tuned for specific site conditions) and analyze the model-data differences. Extensive worldwide NPP data were assembled with model driver data, including vegetation, climate, and soils data, to perform the intercomparison. This report describes the compilation of NPP estimates for 2,523 sites and 5,164 0.5{sup o}-grid cells under the Global Primary Production Data Initiative (GPPDI) and the results of the EMDI review and outlier analysis that produced a refined set of NPP estimates and model driver data. The EMDI process resulted in 81 Class A sites, 933 Class B sites, and 3,855 Class C cells derived from the original synthesis of NPP measurements and associated driver data. Class A sites represent well-documented study sites that have complete aboveground and below ground NPP measurements. Class B sites represent more numerous ''extensive'' sites with less documentation and site-specific information available. Class C cells represent estimates of

  10. Association of climate drivers with rainfall in New South Wales, Australia, using Bayesian Model Averaging

    Science.gov (United States)

    Duc, Hiep Nguyen; Rivett, Kelly; MacSween, Katrina; Le-Anh, Linh

    2017-01-01

    Rainfall in New South Wales (NSW), located in the southeast of the Australian continent, is known to be influenced by four major climate drivers: the El Niño/Southern Oscillation (ENSO), the Interdecadal Pacific Oscillation (IPO), the Southern Annular Mode (SAM) and the Indian Ocean Dipole (IOD). Many studies have shown the influences of ENSO, IPO modulation, SAM and IOD on rainfall in Australia and on southeast Australia in particular. However, only limited work has been undertaken using a multiple regression framework to examine the extent of the combined effect of these climate drivers on rainfall. This paper analysed the role of these combined climate drivers and their interaction on the rainfall in NSW using Bayesian Model Averaging (BMA) to account for model uncertainty by considering each of the linear models across the whole model space which is equal to the set of all possible combinations of predictors to find the model posterior probabilities and their expected predictor coefficients. Using BMA for linear regression models, we are able to corroborate and confirm the results from many previous studies. In addition, the method gives the ranking order of importance and the probability of the association of each of the climate drivers and their interaction on the rainfall at a site. The ability to quantify the relative contribution of the climate drivers offers the key to understand the complex interaction of drivers on rainfall, or lack of rainfall in a region, such as the three big droughts in southeastern Australia which have been the subject of discussion and debate recently on their causes.

  11. MACRO MODEL OF SEAT BELT USE BY CAR DRIVERS AND PASSENGERS

    Directory of Open Access Journals (Sweden)

    Kazimierz JAMROZ

    2013-12-01

    Full Text Available The article presents some problems of seat belt use by car drivers and passengers. It looks in particular at seat belt use and effectiveness in selected countries. Next, factors of seat belt use are presented and methodology of model development. A macro model of seat belt use is presented based on data from around fifty countries from different continents.

  12. A quality improvement tool - driver diagram: a model of driver diagram to reduce primary caesarean section rates

    Directory of Open Access Journals (Sweden)

    Naima Fathima

    2016-05-01

    Results: Various quality improvement tools can be used in the clinical context. Among them, driver diagram is most widely used at the start of an improvement initiative. The driver diagram in this article shows its applicability in one of the clinical aspects of obstetrics, to reduce primary caesarean section rates. Conclusions: Driver diagram is an easy and a simple tool widely used in quality improvement activities. It is essential to use at the beginning of improvement initiatives. [Int J Res Med Sci 2016; 4(5.000: 1339-1342

  13. Development of the physics driver in NOAA Environmental Modeling System (NEMS)

    Science.gov (United States)

    Lei, H.; Iredell, M.; Tripp, P.

    2016-12-01

    As a key component of the Next Generation Global Prediction System (NGGPS), a physics driver is developed in the NOAA Environmental Modeling System (NEMS) in order to facilitate the research, development, and transition to operations of innovations in atmospheric physical parameterizations. The physics driver connects the atmospheric dynamic core, the Common Community Physics Package and the other NEMS-based forecast components (land, ocean, sea ice, wave, and space weather). In current global forecasting system, the physics driver has incorporated major existing physics packages including radiation, surface physics, cloud and microphysics, ozone, and stochastic physics. The physics driver is also applicable to external physics packages. The structure adjustment in NEMS by separating the PHYS trunk is to create an open physics package pool. This open platform is beneficial to the enhancement of U.S. weather forecast ability. In addition, with the universal physics driver, the NEMS can also be used for specific functions by connecting external target physics packages through physics driver. The test of its function is to connect a physics dust-radiation model in the system. Then the modified system can be used for dust storm prediction and forecast. The physics driver is also developed into a standalone form. This is to facilitate the development works on physics packages. The developers can save instant fields of meteorology data and snapshots from the running system , and then used them as offline driving data fields to test the new individual physics modules or small modifications to current modules. This prevents the run of whole system for every test.

  14. Assessment of the Role of Training and Licensing Systems in Changing the Young Driver's Behavior

    Directory of Open Access Journals (Sweden)

    Sudip Barua

    2014-03-01

    Full Text Available Young driver crashes are over represented in any country's crash statistics. This problem is more acute in developing countries where the law enforcement is not strict and the licensing structure is not well developed. According to World Health Organization (WHO road crashes are the single greatest cause of death for men aged 15-29 years old. More than 8500 young drivers die each year in the Organization for Economic Co-operation and Development (OECD countries and the death rates for young drivers are doubled than the older aged drivers. Young driver crashes and deaths cause great economic, social cost on individuals, families and societies. Many research studies have been conducted to find out the causes of crash and deaths. These found that the conventional youth training schemes help young learner to develop their driving skills and knowledge, meanwhile they do not help to gain real road driving experience. Research shows that the lack of driving experience, higher order perception and maturity increase young driver crash exposure. To this end, Graduated Driver Licensing System (GDLS have been developed. GDLS helps young drivers to focus on road driving experience and it divided the whole licensing process into different phases. It also helps the young drivers to get supervised driving experience which help them to accumulate driving hours to get the provisional license. The GDLS helps not only in gaining experience in driving but also in developing the higher order perception (hazard perception which is very much needed during driving. This paper discusses a number of driver's licensing systems and training programs and highlights the need for a licensing system that focus not only on the development of better hazard perception and understanding the road environment for young drivers but also on some other factors that affect road safety. It is argued that the consultation of community concerning the development of a licensing system is

  15. Driving Angry Behavior of Drivers in Mainland China and Germany%中德驾驶员驾驶愤怒行为比较

    Institute of Scientific and Technical Information of China (English)

    刘睿哲; 周仁来; Michael Oeh

    2013-01-01

    目的 采用中文版与德文版Driving Angry Scale(DAS)对中国大陆与德国驾驶员进行施测,比较中德两国驾驶员驾驶愤怒水平的差异.方法 将DAS分别翻译为中文与德文,通过纸质问卷发放以及网络调查的方式对259名中国大陆的驾驶员与472名德国驾驶员的愤怒驾驶水平进行测量.结果 中国驾驶员的驾驶愤怒概念与13项目6维度模型拟合较好,德国驾驶员的驾驶愤怒概念则与14项目6维度模型拟合较好;中国驾驶员总的驾驶愤怒水平要显著低于德国驾驶员,且中国被试随着年龄的增加,驾驶愤怒水平也在增加;德国驾驶员的驾驶愤怒水平则是随着年龄的增加而减少,且随着驾龄增加而减少.结论 中国驾驶员的“驾驶愤怒”概念与原6维度模型有较大差别,而德国驾驶员的“驾驶愤怒”概念组成则与原先的6维度模型差别不大.%Objective To investigate the differences of driving angry behaviors between the Chinese driver and the German driver. Methods The researchers translated the Driving Angry Scale (DAS) into Chinese and German and tested them separately in 259 Chinese drivers and 472 German drivers with questionnaire and online survey. Results The Exploratory Factor Analysis (EFA) and the Confirmative Factor Analysis (CFA) showed that Chinese sample did fit the original 13-item 6-factor-model very well. On the other hand, German sample did fit the original 14-item 6-factor-model. Moreover, Chinese drivers' driving anger level was significantly lower than that of German drivers. And as age grew, Chinese drivers' driving anger level went higher. However, the driving angry level of German drivers showed the opposite tendency on both age and driving years. Conclusion The concept of Chinese drivers' driving anger is quite different from the original one. But the concept of German drivers' driving anger is similar to western samples'.

  16. Validity and reliability of the safe driving behavior measure in community-dwelling self-drivers with stroke.

    Science.gov (United States)

    Song, Chiang-Soon; Choi, Yoo-Im; Hong, So-Young

    2016-05-01

    [Purpose] Driving is a vital component of recovery for stroke survivors facilitating restoration of their family roles and reintegration back into their communities and associations. The purpose of this study was to evaluate the validity and reliability of the Safe Driving Behavior Measure (SDBM) in community-dwelling self-drivers post-stroke. [Subjects and Methods] Participants were sixty-seven community-dwelling self-drivers who had received a diagnosis of first stroke in the past twelve months. To investigate the validity and reliability of the SDBM, this study evaluated two sessions, held three days apart in a quiet and well-organized assessment room. Cronbach's alpha and the Intraclass Correlation Coefficient [ICC (2.1)] were used to evaluate statistically concurrent validity and reliability of the overall and three domain scores. Pearson's correlations were used to quantify the bivariate associations among the three domains. [Results] The Cronbach's alpha coefficients for the three domains of person-vehicle (0.989), person-environment (0.997), and person-vehicle-environment (0.968) of the SDBM indicated high internal consistency in community-dwelling self-drivers with stroke, in addition to excellent rest-retest reliability. [Conclusion] The results of this study suggest that the SDBM could be a reliable measure to evaluate automobile driving in community-dwelling self-drivers with stroke.

  17. The American Medical Association Older Driver Curriculum for Health Professionals: Changes in Trainee Confidence, Attitudes & Practice Behavior

    Science.gov (United States)

    Meuser, Thomas M.; Carr, David B.; Irmiter, Cheryl; Schwartzberg, Joanne G.; Ulfarsson, Gudmundur F.

    2010-01-01

    Few gerontology and geriatrics professionals receive training in driver fitness evaluation, state reporting of unfit drivers, or transportation mobility planning, yet are often asked to address these concerns in the provision of care to older adults. The American Medical Association (AMA) developed an evidence-based, multi-media Curriculum to promote basic competences. This study evaluated reported changes in practice behaviors three months post-training in 693 professionals trained via the AMA approach. Eight Teaching Teams, designated and trained by AMA staff, offered 22 training sessions across the U.S. in 2006–7. Trainees (67% female; mean age 46) completed a pre-test questionnaire and a post-test administered by mail. Physicians were the largest professional group (32%). While many trainees acknowledged having conversations with patients about driving at pre-test, few endorsed utilizing specific techniques recommended by the AMA prior to this training. The post-test response rate was 34% (n = 235). Significant improvements in reported attitudes, confidence, and practices were found across measured items. In particular, post-test data indicated new adoption of in-office screening techniques, chart documentation of driver safety concerns, and transportation alternative planning strategies. Findings suggest that a well-designed, one-time continuing education intervention can enhance health professional confidence and clinical practice concerning driver fitness evaluation and mobility planning. Targeted dissemination of this Curriculum (in-person and on-line) will allow more to benefit in the future. PMID:21108097

  18. 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.

  19. Motivational Interviewing support for a behavioral health internet intervention for drivers with type 1 diabetes

    Directory of Open Access Journals (Sweden)

    Karen S. Ingersoll

    2015-05-01

    Full Text Available While Internet interventions can improve health behaviors, their impact is limited by program adherence. Supporting program adherence through telephone counseling may be useful, but there have been few direct tests of the impact of support. We describe a Telephone Motivational Interviewing (MI intervention targeting adherence to an Internet intervention for drivers with Type 1 Diabetes, DD.com, and compare completion of intervention benchmarks by those randomized to DD.com plus MI vs. DD.com only. The goal of the pre-intervention MI session was to increase the participant's motivation to complete the Internet intervention and all its assignments, while the goal of the post-treatment MI session was to plan for maintaining changes made during the intervention. Sessions were semi-structured and partially scripted to maximize consistency. MI Fidelity was coded using a standard coding system, the MITI. We examined the effects of MI support vs. no support on number of days from enrollment to program benchmarks. Results show that MI sessions were provided with good fidelity. Users who received MI support completed some program benchmarks such as Core 4 (t176 df = −2.25; p < .03 and 11 of 12 monthly driving diaries significantly sooner, but support did not significantly affect time to intervention completion (t177 df = −1.69; p < .10 or rates of completion. These data suggest that there is little benefit to therapist guidance for Internet interventions including automated email prompts and other automated minimal supports, but that a booster MI session may enhance collection of follow-up data.

  20. Study on behavior of car and driver in the very small commuter car made of FRP during collision using scale model. Under the consideration of thorax deformation of driver using airbag; FRP sei mokei ni yoru FRP sei chokeiryo jissha shototsuji no kuruma to join no anzensei ni kansuru kenkyu. Kyobu henkei tokusei wo yusuru join ni taisuru air gab no koka

    Energy Technology Data Exchange (ETDEWEB)

    Sakai, H.; Morisawa, M.; Yoshino, T. [Musashi Institute of Technology, Tokyo (Japan); Sato, T. [Keio University, Tokyo (Japan); Ishizuki, H. [Satake Co., Tokyo (Japan)

    1997-10-01

    In this study, after having performed simulation which took up scale models substituting for full scale model of commuter car made of FRP, we carried out collision tests to barrier. Here, we made enquiries about the occupant safety by changing the collision speed and the deformation characteristics of the seat belt, during head-on barrier collision using one-fifth scale models. We sought for the occupant`s safe combinations among the deformation characteristics of airbag and the thorax deformation. In this case, the degree of the occupants injury were estimated using HIC values, 3msecG and maximum deformation of the thorax. 7 refs., 5 figs.

  1. A brief peripheral motion contrast threshold test predicts older drivers' hazardous behaviors in simulated driving.

    Science.gov (United States)

    Henderson, Steven; Woods-Fry, Heather; Collin, Charles A; Gagnon, Sylvain; Voloaca, Misha; Grant, John; Rosenthal, Ted; Allen, Wade

    2015-05-01

    Our research group has previously demonstrated that the peripheral motion contrast threshold (PMCT) test predicts older drivers' self-report accident risk, as well as simulated driving performance. However, the PMCT is too lengthy to be a part of a battery of tests to assess fitness to drive. Therefore, we have developed a new version of this test, which takes under two minutes to administer. We assessed the motion contrast thresholds of 24 younger drivers (19-32) and 25 older drivers (65-83) with both the PMCT-10min and the PMCT-2min test and investigated if thresholds were associated with measures of simulated driving performance. Younger participants had significantly lower motion contrast thresholds than older participants and there were no significant correlations between younger participants' thresholds and any measures of driving performance. The PMCT-10min and the PMCT-2min thresholds of older drivers' predicted simulated crash risk, as well as the minimum distance of approach to all hazards. This suggests that our tests of motion processing can help predict the risk of collision or near collision in older drivers. Thresholds were also correlated with the total lane deviation time, suggesting a deficiency in processing of peripheral flow and delayed detection of adjacent cars. The PMCT-2min is an improved version of a previously validated test, and it has the potential to help assess older drivers' fitness to drive.

  2. Automan : A psychologically based model of a human driver

    NARCIS (Netherlands)

    Quispel, L; Warris, S; Heemskerk, A; Mulder, LJM; van Wolffelaar, PC; Maarse, FJ; Akkerman, AE; Brand, AN; Mulder, LJM

    2003-01-01

    This paper describes the design of an autonomous agent for controlling vehicles in a traffic simulator. This agent is based on recent developments in artificial intelligence, autonomous robotics and cognitive psychology. The goal of the agent is to simulate realistic driving behavior. The agent is c

  3. Automan : A psychologically based model of a human driver

    NARCIS (Netherlands)

    Quispel, L; Warris, S; Heemskerk, A; Mulder, LJM; van Wolffelaar, PC; Maarse, FJ; Akkerman, AE; Brand, AN; Mulder, LJM

    2003-01-01

    This paper describes the design of an autonomous agent for controlling vehicles in a traffic simulator. This agent is based on recent developments in artificial intelligence, autonomous robotics and cognitive psychology. The goal of the agent is to simulate realistic driving behavior. The agent is c

  4. In-depth analysis of drivers' merging behavior and rear-end crash risks in work zone merging areas.

    Science.gov (United States)

    Weng, Jinxian; Xue, Shan; Yang, Ying; Yan, Xuedong; Qu, Xiaobo

    2015-04-01

    This study investigates the drivers' merging behavior and the rear-end crash risk in work zone merging areas during the entire merging implementation period from the time of starting a merging maneuver to that of completing the maneuver. With the merging traffic data from a work zone site in Singapore, a mixed probit model is developed to describe the merging behavior, and two surrogate safety measures including the time to collision (TTC) and deceleration rate to avoid the crash (DRAC) are adopted to compute the rear-end crash risk between the merging vehicle and its neighboring vehicles. Results show that the merging vehicle has a bigger probability of completing a merging maneuver quickly under one of the following situations: (i) the merging vehicle moves relatively fast; (ii) the merging lead vehicle is a heavy vehicle; and (iii) there is a sizable gap in the adjacent through lane. Results indicate that the rear-end crash risk does not monotonically increase as the merging vehicle speed increases. The merging vehicle's rear-end crash risk is also affected by the vehicle type. There is a biggest increment of rear-end crash risk if the merging lead vehicle belongs to a heavy vehicle. Although the reduced remaining distance to work zone could urge the merging vehicle to complete a merging maneuver quickly, it might lead to an increased rear-end crash risk. Interestingly, it is found that the rear-end crash risk could be generally increased over the elapsed time after the merging maneuver being triggered. Copyright © 2015 Elsevier Ltd. All rights reserved.

  5. Model and Design of a Power Driver for Piezoelectric Stack Actuators

    Directory of Open Access Journals (Sweden)

    Chiaberge M

    2010-01-01

    Full Text Available A power driver has been developed to control piezoelectric stack actuators used in automotive application. An FEM model of the actuator has been implemented starting from experimental characterization of the stack and mechanical and piezoelectric parameters. Experimental results are reported to show a correct piezoelectric actuator driving method and the possibility to obtain a sensorless positioning control.

  6. Virtual testing of driver OOP scenarios: effect of modeling detail on injury response

    NARCIS (Netherlands)

    Bosch-Rekveldt, M.G.C.; Hoof, J.F.A.M. van

    2004-01-01

    This study investigates the relevance of certain parameters for virtual testing of the driver's side OOP problem and attempts to answer the following questions: Which level of detail is needed in the airbag models to assess occupants' injury values for OOP scenarios? What is the influence of the air

  7. A rear-end collision risk assessment model based on drivers' collision avoidance process under influences of cell phone use and gender-A driving simulator based study.

    Science.gov (United States)

    Li, Xiaomeng; Yan, Xuedong; Wu, Jiawei; Radwan, Essam; Zhang, Yuting

    2016-12-01

    Driver's collision avoidance performance has a direct link to the collision risk and crash severity. Previous studies demonstrated that the distracted driving, such as using a cell phone while driving, disrupted the driver's performance on road. This study aimed to investigate the manner and extent to which cell phone use and driver's gender affected driving performance and collision risk in a rear-end collision avoidance process. Forty-two licensed drivers completed the driving simulation experiment in three phone use conditions: no phone use, hands-free, and hand-held, in which the drivers drove in a car-following situation with potential rear-end collision risks caused by the leading vehicle's sudden deceleration. Based on the experiment data, a rear-end collision risk assessment model was developed to assess the influence of cell phone use and driver's gender. The cell phone use and driver's gender were found to be significant factors that affected the braking performances in the rear-end collision avoidance process, including the brake reaction time, the deceleration adjusting time and the maximum deceleration rate. The minimum headway distance between the leading vehicle and the simulator during the rear-end collision avoidance process was the final output variable, which could be used to measure the rear-end collision risk and judge whether a collision occurred. The results showed that although cell phone use drivers took some compensatory behaviors in the collision avoidance process to reduce the mental workload, the collision risk in cell phone use conditions was still higher than that without the phone use. More importantly, the results proved that the hands-free condition did not eliminate the safety problem associated with distracted driving because it impaired the driving performance in the same way as much as the use of hand-held phones. In addition, the gender effect indicated that although female drivers had longer reaction time than male drivers in

  8. An integrated human factors approach to design and evaluation of the driver workspace and interface: Driver perceptions, behaviors, and objective measures

    OpenAIRE

    Kyung, Gyouhyung

    2008-01-01

    An ergonomic driver workspace and interface design is essential to ensure a healthier and comfortable driving experience in terms of driver perceptions, postures, and interface pressures. Developing more effective methods for driver-side interior design and evaluation, hence, requires thorough investigation of: 1) which perceptual responses are more relevant to ensuring ergonomic quality of a design, 2) the interrelationships among perceptual responses and objective measures, and 3) whether ...

  9. Group dynamic behavior and psychometric profiles as substantial driver for pedestrian dynamics

    CERN Document Server

    Schultz, Michael; Fricke, Hartmut; Schlag, Bernhard

    2012-01-01

    Our current research lays emphasis on the extended pedestrian perception and copes with both the dynamic group behavior and the individual evaluation of situations, and hence, rather focuses on the tactical level of movement behavior. Whereas common movement models primary consider operational aspects (spatial exclusion or distance and direction related repulsion), the consideration of psychophysical concepts and intra-group coordination overcomes the idea of directed repulsion forces and derives specific movement decision with respect to the individual evaluation of situations. To provide a solid basis we analyze both data recorded at a mass event and data from a double-staged evacuation test to derive essential group dynamic behaviors and psychological related decision principles, respectively.

  10. A hybrid finite mixture model for exploring heterogeneous ordering patterns of driver injury severity.

    Science.gov (United States)

    Ma, Lu; Wang, Guan; Yan, Xuedong; Weng, Jinxian

    2016-04-01

    Debates on the ordering patterns of crash injury severity are ongoing in the literature. Models without proper econometrical structures for accommodating the complex ordering patterns of injury severity could result in biased estimations and misinterpretations of factors. This study proposes a hybrid finite mixture (HFM) model aiming to capture heterogeneous ordering patterns of driver injury severity while enhancing modeling flexibility. It attempts to probabilistically partition samples into two groups in which one group represents an unordered/nominal data-generating process while the other represents an ordered data-generating process. Conceptually, the newly developed model offers flexible coefficient settings for mining additional information from crash data, and more importantly it allows the coexistence of multiple ordering patterns for the dependent variable. A thorough modeling performance comparison is conducted between the HFM model, and the multinomial logit (MNL), ordered logit (OL), finite mixture multinomial logit (FMMNL) and finite mixture ordered logit (FMOL) models. According to the empirical results, the HFM model presents a strong ability to extract information from the data, and more importantly to uncover heterogeneous ordering relationships between factors and driver injury severity. In addition, the estimated weight parameter associated with the MNL component in the HFM model is greater than the one associated with the OL component, which indicates a larger likelihood of the unordered pattern than the ordered pattern for driver injury severity.

  11. Impact of Driver Behavior on Capacity at the Signalized Intersections%驾驶者行为选择对十字路口通行能力的影响

    Institute of Scientific and Technical Information of China (English)

    吴腾宇; 徐寅峰; 张珩

    2015-01-01

    考虑通过十字路口时左转车辆和直行车辆发生路权冲突时的不同驾驶者行为,将驾驶者分为跟随型驾驶者和谦让型驾驶者,并建立了左转车辆通过十字路口的模型,研究不同的驾驶者行为选择对十字路口通行能力的影响。结果表明,随着交通流量逐渐增加,驾驶者的行为越趋向于跟随时,十字路口的通行能力将会急剧降低;而当驾驶者的行为趋向于谦让时,十字路口的通行能力甚至优于有交警指挥的情形。该结果很好地解释了在行车高峰期中国十字路口堵塞的原因,即驾驶者的行为选择,可以通过改变驾驶者的行为选择和在交通流量达到一定的饱和度时派出交警来改善十字路口的通行能力。%When the conflicts between the left-turn vehicles and the through vehicles have happened at the signal-ized intersection, we consider different driver behaviors and divide the drivers into two types:the following driver and the humility driver, and build a model of the left-turn vehicles going through the intersection.The impact on the intersection’ s capacity by the different driver behavior is studied.The results show that when all the drivers are the following drivers, with the increase of the traffic flow, the capacity of the intersection decreases sharply. When all the drivers are the humility drivers, considering the situation that the policeman directs traffic, the capacity of the intersection will be better.These results can explain the reason for the blocking of the intersec-tions at the heavy traffic time in China well.We can improve the capacity of the intersections by changing the driver behavior and by directing traffic by a policeman.

  12. Reducing Risky Driving Behavior: The Impact of an Adolescent Driver Intervention Program With and Without Mandatory Parental Attendance

    Directory of Open Access Journals (Sweden)

    James L. Jordan

    2015-02-01

    Full Text Available The United States is a vehicle-dependent society and allows adolescents to obtain driver’s licenses at age 16 or younger. This study examined the impacts of a driver intervention program on reducing risky driving behaviors among youths who had received their first traffic citation, as well as parental management of driving practices. Participants consisted of 243 youths ages 16 and 17 who were court-ordered to attend the Ohio 4-H CARTEENS (CAR = Caution and Responsibility and TEENS = Teens who volunteer as teachers program with and without parents. Results indicated that risky driving behavior decreased significantly for both groups after the intervention program. Parental management practices, however, increased only for youths attending without parents. Regression analysis indicated that risky driving behavior at Time 1 and levels of parental management (parental control at Time 2 predicted risky driving behavior after completion of the program. Implications of this study include the importance of adolescent driver intervention and prevention programs to teach youths about unsafe driving practices before licensure.

  13. 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

    2017-08-28

    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.

  14. Images as drivers of progress in cardiac computational modelling.

    Science.gov (United States)

    Lamata, Pablo; Casero, Ramón; Carapella, Valentina; Niederer, Steve A; Bishop, Martin J; Schneider, Jürgen E; Kohl, Peter; Grau, Vicente

    2014-08-01

    Computational models have become a fundamental tool in cardiac research. Models are evolving to cover multiple scales and physical mechanisms. They are moving towards mechanistic descriptions of personalised structure and function, including effects of natural variability. These developments are underpinned to a large extent by advances in imaging technologies. This article reviews how novel imaging technologies, or the innovative use and extension of established ones, integrate with computational models and drive novel insights into cardiac biophysics. In terms of structural characterization, we discuss how imaging is allowing a wide range of scales to be considered, from cellular levels to whole organs. We analyse how the evolution from structural to functional imaging is opening new avenues for computational models, and in this respect we review methods for measurement of electrical activity, mechanics and flow. Finally, we consider ways in which combined imaging and modelling research is likely to continue advancing cardiac research, and identify some of the main challenges that remain to be solved.

  15. Omnichannel Customer Behavior: Key Drivers of Technology Acceptance and Use and Their Effects on Purchase Intention

    Science.gov (United States)

    Juaneda-Ayensa, Emma; Mosquera, Ana; Sierra Murillo, Yolanda

    2016-01-01

    The advance of the Internet and new technologies over the last decade has transformed the retailing panorama. More and more channels are emerging, causing consumers to change their habits and shopping behavior. An omnichannel strategy is a form of retailing that, by enabling real interaction, allows customers to shop across channels anywhere and at any time, thereby providing them with a unique, complete, and seamless shopping experience that breaks down the barriers between channels. This paper aims to identify the factors that influence omnichannel consumers' behavior through their acceptance of and intention to use new technologies during the shopping process. To this end, an original model was developed to explain omnichannel shopping behavior based on the variables used in the UTAUT2 model and two additional factors: personal innovativeness and perceived security. The model was tested with a sample of 628 Spanish customers of the store Zara who had used at least two channels during their most recent shopping journey. The results indicate that the key determinants of purchase intention in an omnichannel context are, in order of importance: personal innovativeness, effort expectancy, and performance expectancy. The theoretical and managerial implications are discussed. PMID:27516749

  16. Omnichannel Customer Behavior: Key Drivers of Technology Acceptance and Use and Their Effects on Purchase Intention

    Directory of Open Access Journals (Sweden)

    Ana Mosquera

    2016-07-01

    Full Text Available The advance of the Internet and new technologies over the last decade has transformed the retailing panorama. More and more channels are emerging, causing consumers to change their habits and shopping behavior. An omnichannel strategy is a form of retailing that, by enabling real interaction, allows customers to shop across channels anywhere and at any time, thereby providing them with a unique, complete, and seamless shopping experience that breaks down the barriers between channels. This paper aims to identify the factors that influence omnichannel consumers’ behavior through their acceptance of and intention to use new technologies during the shopping process. To this end, an original model was developed to explain omnichannel shopping behavior based on the variables used in the UTAUT2 model and two additional factors: personal innovativeness and perceived security. The model was tested with a sample of 628 Spanish customers of the store Zara who had used at least two channels during their most recent shopping journey. The results indicate that the key determinants of purchase intention in an omnichannel context are, in order of importance: personal innovativeness, effort expectancy, and performance expectancy. The theoretical and managerial implications are discussed.

  17. Omnichannel Customer Behavior: Key Drivers of Technology Acceptance and Use and Their Effects on Purchase Intention.

    Science.gov (United States)

    Juaneda-Ayensa, Emma; Mosquera, Ana; Sierra Murillo, Yolanda

    2016-01-01

    The advance of the Internet and new technologies over the last decade has transformed the retailing panorama. More and more channels are emerging, causing consumers to change their habits and shopping behavior. An omnichannel strategy is a form of retailing that, by enabling real interaction, allows customers to shop across channels anywhere and at any time, thereby providing them with a unique, complete, and seamless shopping experience that breaks down the barriers between channels. This paper aims to identify the factors that influence omnichannel consumers' behavior through their acceptance of and intention to use new technologies during the shopping process. To this end, an original model was developed to explain omnichannel shopping behavior based on the variables used in the UTAUT2 model and two additional factors: personal innovativeness and perceived security. The model was tested with a sample of 628 Spanish customers of the store Zara who had used at least two channels during their most recent shopping journey. The results indicate that the key determinants of purchase intention in an omnichannel context are, in order of importance: personal innovativeness, effort expectancy, and performance expectancy. The theoretical and managerial implications are discussed.

  18. Stability analysis of automobile driver steering control

    Science.gov (United States)

    Allen, R. W.

    1981-01-01

    In steering an automobile, the driver must basically control the direction of the car's trajectory (heading angle) and the lateral deviation of the car relative to a delineated pathway. A previously published linear control model of driver steering behavior which is analyzed from a stability point of view is considered. A simple approximate expression for a stability parameter, phase margin, is derived in terms of various driver and vehicle control parameters, and boundaries for stability are discussed. A field test study is reviewed that includes the measurement of driver steering control parameters. Phase margins derived for a range of vehicle characteristics are found to be generally consistent with known adaptive properties of the human operator. The implications of these results are discussed in terms of driver adaptive behavior.

  19. Contrasting models of driver behaviour in emergencies using retrospective verbalisations and network analysis.

    Science.gov (United States)

    Banks, Victoria A; Stanton, Neville A

    2015-01-01

    Automated assistance in driving emergencies aims to improve the safety of our roads by avoiding or mitigating the effects of accidents. However, the behavioural implications of such systems remain unknown. This paper introduces the driver decision-making in emergencies (DDMiEs) framework to investigate how the level and type of automation may affect driver decision-making and subsequent responses to critical braking events using network analysis to interrogate retrospective verbalisations. Four DDMiE models were constructed to represent different levels of automation within the driving task and its effects on driver decision-making. Findings suggest that whilst automation does not alter the decision-making pathway (e.g. the processes between hazard detection and response remain similar), it does appear to significantly weaken the links between information-processing nodes. This reflects an unintended yet emergent property within the task network that could mean that we may not be improving safety in the way we expect. This paper contrasts models of driver decision-making in emergencies at varying levels of automation using the Southampton University Driving Simulator. Network analysis of retrospective verbalisations indicates that increasing the level of automation in driving emergencies weakens the link between information-processing nodes essential for effective decision-making.

  20. Enhanced Intelligent Driver Model to Access the Impact of Driving Strategies on Traffic Capacity

    CERN Document Server

    Kesting, Arne; Helbing, Dirk

    2009-01-01

    With an increasing number of vehicles equipped with adaptive cruise control (ACC), the impact of such vehicles on the collective dynamics of traffic flow becomes relevant. By means of simulation, we investigate the influence of variable percentages of ACC vehicles on traffic flow characteristics. For simulating the ACC vehicles, we propose a new car-following model that also serves as basis of an ACC implementation in real cars. The model is based on the Intelligent Driver Model [Treiber et al., Physical Review E 62, 1805 (2000)] and inherits its intuitive behavioural parameters: desired velocity, acceleration, comfortable deceleration, and desired minimum time headway. It eliminates, however, the sometimes unrealistic behaviour of the Intelligent Driver Model in cut-in situations with ensuing small gaps that regularly are caused by lane changes of other vehicles in dense or congested traffic. We simulate the influence of different ACC strategies on the maximum capacity before breakdown, and the (dynamic) bot...

  1. Model and Information Abstracion for Description—Driver Systems

    Institute of Scientific and Technical Information of China (English)

    FloridaEstrella; ZsoltKovacs; 等

    2001-01-01

    A Crucial factor in the creation of adaptable systems dealing with changing requirements is the suitability of the underlying technology in allowing the evolution of the system.A reflective system utilizes an open architecture where implicit system aspects are reified to become explicit first-class(meta-data)objects.These implicit system aspects are often fundamental structures which are inaccessible and immutable,and theri reification as meta-data objects can serve as the basis for changes and extensions to the system, making it self-describing.To address the evolvability issue,this paper proposes a reflective architecture based on two orthogonal abstractions-model abstraction and information abstraction.In this architecture the modeling abstractions allow for the separation of the description meta-data from the system aspects they represent so that they can be managed and versioned independently,asynchronously and explicitly.

  2. School Attendance and Child Labor - A Model of Collective Behavior

    OpenAIRE

    Strulik, Holger

    2010-01-01

    This paper theoretically investigates how community approval or disapproval affects school attendance and child labor and how aggregate behavior of the community feeds back towards the formation and persistence of an anti- (or pro-) schooling norm. The proposed community-model continues to take aggregate and idiosyncratic poverty into account as an important driver of low school attendance and child labor. But it provides also an explanation for why equally poor villages or regions can displa...

  3. Model analysis of the effects of atmospheric drivers on storage water use in Scots pine

    Directory of Open Access Journals (Sweden)

    H. Verbeeck

    2007-08-01

    Full Text Available Storage water use is an indirect consequence of the interplay between different meteorological drivers through their effect on water flow and water potential in trees. We studied these microclimatic drivers of storage water use in Scots pine (Pinus sylvestris L. growing in a temperate climate. The storage water use was modeled using the ANAFORE model, integrating a dynamic water flow and – storage model with a process-based transpiration model. The model was calibrated and validated with sap flow measurements for the growing season of 2000 (26 May–18 October.

    Because there was no severe soil drought during the study period, we were able to study atmospheric effects. Incoming radiation and vapour pressure deficit (VPD were the main atmospheric drivers of storage water use. The general trends of sap flow and storage water use are similar, and follow more or less the pattern of incoming radiation. Nevertheless, considerable differences in the day-to-day pattern of sap flow and storage water use were observed. VPD was determined to be one of the main drivers of these differences. During dry atmospheric conditions (high VPD storage water use was reduced. This reduction was higher than the reduction in measured sap flow. Our results suggest that the trees did not rely more on storage water during periods of atmospheric drought, without severe soil drought. The daily minimum tree water content was lower in periods of high VPD, but the reserves were not completely depleted after the first day of high VPD, due to refilling during the night.

    Nevertheless, the tree water content deficit was a third important factor influencing storage water use. When storage compartments were depleted beyond a threshold, storage water use was limited due to the low water potential in the storage compartments. The maximum relative contribution of storage water to daily transpiration was also constrained by an increasing tree water content

  4. Emergence of multiple ocean ecosystem drivers in a large ensemble suite with an earth system model

    Directory of Open Access Journals (Sweden)

    K. B. Rodgers

    2014-12-01

    Full Text Available Marine ecosystems are increasingly impacted by human-induced changes. Ocean ecosystem drivers – including warming, acidification, deoxygenation and perturbations to biological productivity – can co-occur in space and time, but detecting their trends is complicated by the presence of noise associated with natural variability in the climate system. Here we use Large Initial-Condition Ensemble Simulations with a comprehensive Earth System Model under a historical/RCP8.5 pathway over 1950–2100 to consider emergence characteristics for the four individual and combined drivers. Using a one-standard deviation (67% confidence threshold of signal-to-noise to define emergence with a 30 yr trend window, we show that ocean acidification emerges much earlier than other drivers, namely during the 20th century over most of the global ocean. For biological productivity, the anthropogenic signal does not emerge from the noise over most of the global ocean before the end of the 21st century. The early emergence pattern for sea surface temperature in low latitudes is reversed from that of subsurface oxygen inventories, where emergence occurs earlier in the Southern Ocean. For the combined multiple-driver field, 41% of the global ocean exhibits emergence for the 2005–2014 period, and 63% for the 2075–2084 period. The combined multiple-driver field reveals emergence patterns by the end of this century that are relatively high over much of the Southern Ocean, North Pacific, and Atlantic, but relatively low over the tropics and the South Pacific. In regions with pronounced emergence characteristics, marine ecosystems can be expected to be pushed outside of their comfort zone determined by the degree of natural background variability to which they are adapted. The results here thus have implications not only for optimization of the ocean observing system, but also for risk assessment and mitigation strategies.

  5. Tiny Event, Big Effect: Relationships between Drivers' Justice Perception and Drivers' Rule-Observing Behaviors%小事件、大影响:公平感知觉与规则驾驶行为

    Institute of Scientific and Technical Information of China (English)

    李靖宇; 谢晓非; 葛瑜

    2012-01-01

    从公平感知觉这个新的角度探讨驾驶员规则驾驶行为。运用情境问卷和量表测量的方法明确区分事件公平感和社会实体公平感,分别探讨它们对于驾驶员规则驾驶行为的效应。研究发现,驾驶员对单一情境的事件公平感知觉以及对整体交通环境的社会实体公平感知觉都与规则驾驶行为存在显著关系,知觉到的公平感越高,规则驾驶行为得分越高;同时,个体的事件公平感知觉通过社会实体公平感知觉的中介作用对规则驾驶行为产生影响。%The study explored drivers' rule-observing behaviors from a new perspective drivers' justice perception. The authors developed scenario questionnaire and scales to distinguish event justice perception from social entity justice perception, and explored the effects of both kinds of justice perception on drivers' rule-observing behaviors. The results show that drivers' event justice perception of a single incident and social entity justice perception of the whole transportation environment are both significantly correlated with drivers' rule-observing behaviors. The more justice people perceived, the higher scores they got in rule-observing behaviors questionnaire. The relationship between event justice perception and rule-observing behaviors is mediated by the social entity justice.

  6. Microsimulation modelling of driver behaviour towards alternative warning devices at railway level crossings.

    Science.gov (United States)

    Tey, Li-Sian; Zhu, Sicong; Ferreira, Luis; Wallis, Guy

    2014-10-01

    Level crossings are amongst the most complex of road safety issues, due to the addition of rail infrastructure, trains and train operations. The differences in the operational characteristics of different warning devices together with varying crossing, traffic or/and train characteristics, cause different driver behaviour at crossings. This paper compares driver behaviour towards two novel warning devices (rumble strips and in-vehicle audio warning) with two conventional warning devices (flashing light and stop sign) at railway level crossings using microsimulation modelling. Two safety performance indicators directly related to collision risks, violation and time-to-collision, were adopted. Results indicated the active systems were more effective at reducing likely collisions compared to passive devices. With the combined application of driving simulation and traffic microsimulation modelling, traffic safety performance indicators for a level crossing can be estimated. From these, relative safety comparisons for the different traffic devices are derived, or even for absolute safety evaluation with proper calibration from field investigations.

  7. Dynamic response to road roughness on a tractor-semitrailer system with driver body model

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    A linear mass-spring system model of a tractor-semitrailer together with driver body parts and sprung seat is presented. Natural frequencies of the system are calculated and response of components in the system to road roughness is completed by means of computer simulation and power spectral density (PSD) approach in all of road conditions and loading cases. The results show that the severest situation of response of the system occurs when the road in rough condition and vehicle unladen. The most sensitive frequency to human body parts is around 0.9Hz, and model types of a human body seem to be not significant tothe response of a heavy tractor-semitrailer system, including to the response of the driver himself.

  8. Inferring Passenger Denial Behavior of Taxi Drivers from Large-Scale Taxi Traces.

    Science.gov (United States)

    Zhang, Sihai; Wang, Zhiyang

    2016-01-01

    How to understand individual human actions is a fundamental question to modern science, which drives and incurs many social, technological, racial, religious and economic phenomena. Human dynamics tries to reveal the temporal pattern and internal mechanism of human actions in letter or electronic communications, from the perspective of continuous interactions among friends or acquaintances. For interactions between stranger to stranger, taxi industry provide fruitful phenomina and evidence to investigate the action decisions. In fact, one striking disturbing events commonly reported in taxi industry is passenger refusing or denial, whose reasons vary, including skin color, blind passenger, being a foreigner or too close destination, religion reasons and anti specific nationality, so that complaints about taxi passenger refusing have to be concerned and processed carefully by local governments. But more universal factors for this phenomena are of great significance, which might be fulfilled by big data research to obtain novel insights in this question. In this paper, we demonstrate the big data analytics application in revealing novel insights from massive taxi trace data, which, for the first time, validates the passengers denial in taxi industry and estimates the denial ratio in Beijing city. We first quantify the income differentiation facts among taxi drivers. Then we find out that choosing the drop-off places also contributes to the high income for taxi drivers, compared to the previous explanation of mobility intelligence. Moreover, we propose the pick-up, drop-off and grid diversity concepts and related diversity analysis suggest that, high income taxi drivers will deny passengers in some situations, so as to choose the passengers' destination they prefer. Finally we design an estimation method for denial ratio and infer that high income taxi drivers will deny passengers with 8.52% likelihood in Beijing. Our work exhibits the power of big data analysis in

  9. Evidence that changes in social cognitions predict changes in self-reported driver behavior: Causal analyses of two-wave panel data.

    Science.gov (United States)

    Elliott, Mark A; Thomson, James A; Robertson, Kirsty; Stephenson, Carry; Wicks, John

    2013-01-01

    Previous research on the theory of planned behavior (TPB) is characterized by cross-sectional tests of the model's proposed causal relationships. In the absence of effective experimental techniques for changing the TPB's cognitive antecedents, the present research aimed to provide a stronger non-experimental test of the model, using causal analyses of two-wave panel data. Two studies of driver behavior were conducted in which naturally occurring within-participant changes in TPB constructs were measured over time, and used to predict corresponding within-participant changes in both intentions and behavior. A two-wave panel design was used in both studies. Study 1 had a one-month gap between baseline and follow-up. At both waves, a convenience sample comprising predominantly university students (N=135) completed questionnaire measures of all TPB cognitions and behavior (compliance with speed limits in urban areas). Cross-lagged multiple regressions and bootstrapping procedures for testing multiple mediators supported all of the relationships proposed by the TPB. These findings were extended in study 2 using a large, non-student sample of speed limit offenders (N=1149), a six-month gap between baseline and follow-up, and a larger number of cognitive antecedents. Participants completed postal questionnaires at both waves to measure all cognitions proposed by the two-component TPB, along with moral norm, anticipated regret, self-identity and speeding on urban roads, country roads, and fast dual carriageways or motorways. Changes in instrumental and affective attitude, descriptive norm, self-efficacy, moral norm, anticipated regret and self-identity predicted changes in intention to speed. Changes in intention and self-efficacy predicted behavior-change. Injunctive norm and perceived controllability did not predict intention or behavior-change. Additionally, direct (unhypothesized) relationships with behavior were found for affective attitude, descriptive norm and

  10. Model of small-scale self-focusing and spatial noise in high power laser driver

    Institute of Scientific and Technical Information of China (English)

    HU; Wei(胡巍); FU; Xiquan(傅喜泉); YU; Song; (喻松); GUO; Hong(郭弘)

    2002-01-01

    A linearization model was used to analyze the laser beam propagation in a high power laser driver and the influence of the small-scale self-focusing and spatial phase noise on beam quality in disk amplifiers. The quantitative relations between intensities of spatial phase noise, B-integral, and beam intensity contrast in near field are given explicitly. A spectrum specification of phase noise has been obtained by setting a limit to the contrast of an output beam.

  11. Bus crash severity in the United-States: The role of driver behavior, service type, road factors and environmental conditions

    DEFF Research Database (Denmark)

    Kaplan, Sigal; Prato, Carlo Giacomo

    for the analysis are retrieved from the General Estimates System (GES) database for the years 2005-2009. Results show that accident severity increases: (i) for young bus drivers under the age of 25; (ii) for drivers beyond the age of 55, and most prominently for drivers over 65 years old; (iii) for female drivers...

  12. Effectiveness of a Program Using a Vehicle Tracking System, Incentives, and Disincentives to Reduce the Speeding Behavior of Drivers with ADHD

    Science.gov (United States)

    Markham, Paula T.; Porter, Bryan E.; Ball, J. D.

    2013-01-01

    Objective: In this article, the authors investigated the effectiveness of a behavior modification program using global positioning system (GPS) vehicle tracking devices with contingency incentives and disincentives to reduce the speeding behavior of drivers with ADHD. Method: Using an AB multiple-baseline design, six participants drove a 5-mile…

  13. 基于知信行理论的驾驶人风险行为研究%Study into Drivers' Risk Behavior Based on Theory of Knowledge -Attitude -Practice

    Institute of Scientific and Technical Information of China (English)

    张琼; 付锐; 秦加合; 郭应时; 袁伟

    2012-01-01

    A study into drivers' risk behavior based on the theory of KAP was conducted from the perspective of social psychology by adding a variable of personality to reveal the influencing mechanism on it. Questionnaire method, exploratory factor analysis and confirmatory factor analysis were firstly used to investigate the effects of risk perception, risk attitudes and personality traits on the risk behavior. Then a model of drivers' risk behavior was built. The results show that both risk perception and risk attitude have a positive relationship with risk behavior. Sensation seeking personality traits can affect driver's risk behavior directly or through the intermediary role of attitude and perception. The model can be used to intervene and correct drivers' risk behavior.%为研究影响驾驶人风险行为的内在机制,基于知信行(KAP)理论,引入个性特质变量,从社会心理学的角度对驾驶人风险行为进行研究.通过问卷调查方法、探索性因素分析及验证性因素分析,探讨驾驶人风险认知、风险态度及人格特质对驾驶人风险行为的影响,构建驾驶人风险行为模型.结果表明:风险认知、风险态度对风险行为显著正相关,感觉寻求人格特质能直接影响驾驶人的风险行为,也能通过风险认知和风险态度的中介作用对风险行为产生影响.校正驾驶人对风险的认知与态度能够干预并改变驾驶人的风险行为.

  14. Effect of an Educational Program Based on the Health Belief Model to Reduce Cell Phone Usage During Driving in Taxi drivers

    Directory of Open Access Journals (Sweden)

    Babak Moeini

    2014-09-01

    Full Text Available Introduction: Cell phone usage during driving has become a threat to traffic safety. This study aimed to determine the effectiveness of an educational program based on the health belief model to reduce cell phone usage during driving in taxi drivers of Tuyserkan. Materials and Methods: In this quasi-experimental study, 110 taxi drivers younger than 35 years were randomly divided into two experimental and control groups in Tuyserkan, Iran. Data was collected using a questionnaire including the health belief model constructs, knowledge, behaviors of using cell phone and demographic variables. The questionnaires were self-reported. Intervention was three sessions applied in the experimental group. Both groups were followed for two months after the intervention. Finally, data analysis was performed using SPSS- 19 by Chi-square, Independent T-test, Paired T-test and McNemar. Results: The mean scores for the constructs of health belief model (perceived susceptibility, severity, barriers, perceived benefits, self-efficacy and cues to action, knowledge and desired behaviors about the use of cell phone during driving showed no significant differences between the two groups before the intervention. After the educational intervention, significant differences were observed in experimental group compared to control group. After educational intervention, cell phone usage reduced by 35.14% in the experimental group. Conclusion: An educational intervention based on the health belief model could reduce cell phone usage during driving in taxi drivers.

  15. Considerations on the implementation and modeling of an active mass driver with electric torsional servomotor

    Science.gov (United States)

    Ubertini, Filippo; Venanzi, Ilaria; Comanducci, Gabriele

    2015-06-01

    The current trend in full-scale applications of active mass drivers for mitigating buildings' vibrations is to rely on the use of electric servomotors and low friction transmission devices. While similar full-scale applications have been recently documented, there is still the need for deepening the understanding of the behavior of such active mass drivers, especially as it concerns their reliability in the case of extreme loading events. This paper presents some considerations arisen in the physical implementation of a prototype active mass driver system, fabricated by coupling an electric torsional servomotor with a ball screw transmission device, using state-of-the-art electronics and a high speed digital communication protocol between controller and servomotor drive. The prototype actuator is mounted on top of a scaled-down five-story frame structure, subjected to base excitation provided by a sliding table actuated by an electrodynamic shaker. The equations of motion are rigorously derived, at first, by considering the torque of the servomotor as the control input, in agreement with other literature work. Then, they are extended to the case where the servomotor operates under kinematic control, that is, by commanding its angular velocity instead of its torque, including control-structure-interaction effects. Experiments are carried out by employing an inherently stable collocated skyhook control algorithm, proving, on the one hand, the control effectiveness of the device but also revealing, on the other hand, the possibility of closed-loop system instability at high gains. Theoretical interpretation of the results clarifies that the dynamic behavior of the actuator plays a central role in determining its control effectiveness and is responsible for the observed stability issues, operating similarly to time delay effects. Numerical extension to the case of earthquake excitation confirms the control effectiveness of the device and highlights that different

  16. Comparative analysis of driver's brake perception-reaction time at signalized intersections with and without countdown timer using parametric duration models.

    Science.gov (United States)

    Fu, Chuanyun; Zhang, Yaping; Bie, Yiming; Hu, Liwei

    2016-10-01

    Countdown timers display the time left on the current signal, which makes drivers be more ready to react to the phase change. However, previous related studies have rarely explored the effects of countdown timer on driver's brake perception-reaction time (BPRT) to yellow light. The goal of this study was therefore to characterize and model driver's BPRT to yellow signal at signalized intersections with and without countdown timer. BPRT data for "first-to-stop" vehicles after yellow onset within the transitional zone were collected through on-site observation at six signalized intersections in Harbin, China. Statistical analysis showed that the observed 15th, 50th, and 85th percentile BPRTs without countdown timer were 0.52, 0.84, and 1.26s, respectively. The observed 15th, 50th, and 85th percentile BPRTs with countdown timer were 0.32, 1.20, and 2.52s, respectively. Log-logistic distribution appeared to best fit the BPRT without countdown timer, while Weibull distribution seemed to best fit the BPRT with countdown timer. After that, a Log-logistic accelerated failure time (AFT) duration model was developed to model driver's BPRT without countdown timer, whereas a Weibull AFT duration model was established to model driver's BPRT with countdown timer. Three significant factors affecting the BPRT identified in both AFT models included yellow-onset distance from the stop line, yellow-onset approach speed, and deceleration rate. No matter whether the presence of countdown timer or not, BPRT increased as yellow-onset distance to the stop line or deceleration rate increased, but decreased as yellow-onset speed increased. The impairment of driver's BPRT due to countdown timer appeared to increase with yellow-onset distance to the stop line or deceleration rate, but decrease with yellow-onset speed. An increase in driver's BPRT because of countdown timer may induce risky driving behaviors (i.e., stop abruptly, or even violate traffic signal), revealing a weakness of

  17. Mathematical models of human behavior

    DEFF Research Database (Denmark)

    Møllgaard, Anders Edsberg

    data set, along with work on other behavioral data. The overall goal is to contribute to a quantitative understanding of human behavior using big data and mathematical models. Central to the thesis is the determination of the predictability of different human activities. Upper limits are derived......, thereby implying that interactions between spreading processes are driving forces of attention dynamics. Overall, the thesis contributes to a quantitative understanding of a wide range of different human behaviors by applying mathematical modeling to behavioral data. There can be no doubt......During the last 15 years there has been an explosion in human behavioral data caused by the emergence of cheap electronics and online platforms. This has spawned a whole new research field called computational social science, which has a quantitative approach to the study of human behavior. Most...

  18. Modelling of agricultural combination driver behaviour from the aspect of safety of movement.

    Science.gov (United States)

    Szczepaniak, Jan; Tanaś, Wojciech; Pawłowski, Tadeusz; Kromulski, Jacek

    2014-01-01

    Statistics show that the travel of agricultural machinery to a work area and their movement during labour is the source of many serious accidents. The most dangerous in consequences prove to be those that occur during transport and associated with maneuvering tractors and machinery (about 30% of all fatal accidents). It can be assumed that at least some of these accidents were caused indirectly by the specific design features of agricultural machines which adversely affect the driveability. The single- and multi-loop structures of the driver-vehicle system models are formulated to study the contributions of various preview and prediction strategies to the path tracking and dynamic performance of the articulated vehicle. In the presented study the compensatory model of driver utilizes the lateral acceleration of the tractor, roll angle of trailer sprung mass and the articulation rate as the internal motion feedback variables. The control model of steering of an agricultural set has been implemented in the Matlab/Simulink environment. The model has been constructed with the use of stochastic methods and operational transmittances describing the various components of the system. The model operational transmittances has been estimated using Box-Jenkins and continuous-time process models from input-output data. The model has been tested using experimental data from road investigation of the agricultural set.

  19. Research on Coupling Vibration of Wind-vehicle-bridge System with Considering Driver Behavior%引入驾驶员行为的风-汽车-桥系统耦合振动研究

    Institute of Scientific and Technical Information of China (English)

    韩万水; 马麟; 刘健新

    2011-01-01

    对现有解决风环境下车辆行驶问题的驾驶员反应行为模型进行了回顾和对比,采用改进的Baker驾驶员反应行为模型,引入了考虑驾驶员反应行为模型的车辆运动平衡方程、变形以及力的协调条件,建立了引入驾驶员反应行为模型的车辆事故分析状态矢量空间方程,将其与以往未引入驾驶员反应行为模型的风-汽车-桥系统所建立的汽车和桥梁2个子系统运动方程进行耦合,从而建立了引入驾驶员反应行为模型的随机车流下的风-汽车-桥系统运动方程,并对该方程的求解方法进行了研究,编制了相应的分析模块;对已有的车辆事故评价准则进行了改进,给出了对应于不同风速的风致车辆事故临界车速.结果表明:该分析模块由于引入了驾驶员反应行为模型,从而可以同时进行行车安全性分析和舒适性评价.%On the basis of review and comparison of the current driver response behavior models which deal with the vehicle running problem subjected to wind, using improved Baker driver response behavior model, the vehicle motion equilibrium equation and the harmonic condition of deformation and force that took into account the driver response behavior model were induced.The state vector spatial equation which could analyze vehicle accidents related to driver response behavior model was established. Authors coupled the supposed equation with the former two subsystem motion equations of vehicle and bridge from wind vehicle-bridge system without taking account into driver response behavior model. The wind-vehicle-bridge system motion equation of stochastic vehicle stream considering driver response behavior was presented, and the solution method of state equation was studied. The analytical module of stochastic vehicle stream considering driver behavior was designed. The current wind-induced accident criterion was improved and some accident critical vehicle speeds under various wind

  20. Determinants of personality and risky road behaviors at work in drivers of medical transport vehicles in the Wielkopolska (Greater Poland Voivodeship

    Directory of Open Access Journals (Sweden)

    Marcin Cybulski

    2014-08-01

    Full Text Available Background: Personality determinants are an important predicator of road behaviors in drivers. The main objective of the study was to determine the relationship between personality determinants (neuroticism, extraversion, level of anxiety – features and distinguishable risky behaviors of drivers of medical transport vehicles. Material and Methods: The study covered 106 male drivers from the Wielkopolskie Voivodeship, working in health care, having a license to drive emergency vehicles. To achieve the research objectives a questionnaire was developed and applied. It concerned risky road behaviors among drivers of medical transport. The personality suitability was determined using the questionnaire methods on self-assessment: Polish versions of Eysenck Personality Questionnaire – Revised (EPQ-R and the State-Trait Anxiety Inventory (STAI questionnaire. Results: It was shown that drivers with introverted characteristics declare driving vehicles of reduced technical efficiency more often than extroverts. The level of the anxiety as a trait A-characteristic affects the display of distracting behaviors, making decisions about driving a vehicle that is inefficient, driving in a bad psychophysical condition, as well as maintaining too small distance from the preceding vehicle. The higher the intensity of anxiety characteristics, the higher the intensity of given behaviors. Conclusions: Based on the study results, it can be assumed that there is a relationship between determinants of personality and the display of risky behaviors of drivers of medical transport vehicles. Thus it can be concluded that the level of extraversion and anxiety as a trait are the differentiating characteristics of respondents. Med Pr 2014;65(4:485–496

  1. Quantifying geographic variation in the climatic drivers of midcontinent wetlands with a spatially varying coefficient model.

    Science.gov (United States)

    Roy, Christian

    2015-01-01

    The wetlands in the Prairie Pothole Region and in the Great Plains are notorious for their sensitivity to weather variability. These wetlands have been the focus of considerable attention because of their ecological importance and because of the expected impact of climate change. Few models in the literature, however, take into account spatial variation in the importance of wetland drivers. This is surprising given the importance spatial heterogeneity in geomorphology and climatic conditions have in the region. In this paper, I use spatially-varying coefficients to assess the variation in ecological drivers in a number of ponds observed over a 50-year period (1961-2012). I included the number of ponds observed the year before on a log scale, the log of total precipitation, and mean maximum temperature during the four previous seasons as explanatory variables. I also included a temporal component to capture change in the number of ponds due to anthropogenic disturbance. Overall, fall and spring precipitation were most important in pond abundance in the west, whereas winter and summer precipitation were the most important drivers in the east. The ponds in the east of the survey area were also more dependent on pond abundance during the previous year than those in the west. Spring temperature during the previous season influenced pond abundance; while the temperature during the other seasons had a limited effect. The ponds in the southwestern part of the survey area have been increasing independently of climatic conditions, whereas the ponds in the northeast have been steadily declining. My results underline the importance of accounting the spatial heterogeneity in environmental drivers, when working at large spatial scales. In light of my results, I also argue that assessing the impacts of climate change on wetland abundance in the spring, without more accurate climatic forecasting, will be difficult.

  2. Patient-specific modeling of left ventricular electromechanics as a driver for haemodynamic analysis

    Science.gov (United States)

    Augustin, Christoph M.; Crozier, Andrew; Neic, Aurel; Prassl, Anton J.; Karabelas, Elias; Ferreira da Silva, Tiago; Fernandes, Joao F.; Campos, Fernando; Kuehne, Titus; Plank, Gernot

    2017-01-01

    Aims Models of blood flow in the left ventricle (LV) and aorta are an important tool for analysing the interplay between LV deformation and flow patterns. Typically, image-based kinematic models describing endocardial motion are used as an input to blood flow simulations. While such models are suitable for analysing the hemodynamic status quo, they are limited in predicting the response to interventions that alter afterload conditions. Mechano-fluidic models using biophysically detailed electromechanical (EM) models have the potential to overcome this limitation, but are more costly to build and compute. We report our recent advancements in developing an automated workflow for the creation of such CFD ready kinematic models to serve as drivers of blood flow simulations. Methods and results EM models of the LV and aortic root were created for four pediatric patients treated for either aortic coarctation or aortic valve disease. Using MRI, ECG and invasive pressure recordings, anatomy as well as electrophysiological, mechanical and circulatory model components were personalized. Results The implemented modeling pipeline was highly automated and allowed model construction and execution of simulations of a patient’s heartbeat within 1 day. All models reproduced clinical data with acceptable accuracy. Conclusion Using the developed modeling workflow, the use of EM LV models as driver of fluid flow simulations is becoming feasible. While EM models are costly to construct, they constitute an important and nontrivial step towards fully coupled electro-mechano-fluidic (EMF) models and show promise as a tool for predicting the response to interventions which affect afterload conditions. PMID:28011839

  3. Quantifying effects of abiotic and biotic drivers on community dynamics with multivariate autoregressive (MAR) models.

    Science.gov (United States)

    Hampton, Stephanie E; Holmes, Elizabeth E; Scheef, Lindsay P; Scheuerell, Mark D; Katz, Stephen L; Pendleton, Daniel E; Ward, Eric J

    2013-12-01

    Long-term ecological data sets present opportunities for identifying drivers of community dynamics and quantifying their effects through time series analysis. Multivariate autoregressive (MAR) models are well known in many other disciplines, such as econometrics, but widespread adoption of MAR methods in ecology and natural resource management has been much slower despite some widely cited ecological examples. Here we review previous ecological applications of MAR models and highlight their ability to identify abiotic and biotic drivers of population dynamics, as well as community-level stability metrics, from long-term empirical observations. Thus far, MAR models have been used mainly with data from freshwater plankton communities; we examine the obstacles that may be hindering adoption in other systems and suggest practical modifications that will improve MAR models for broader application. Many of these modifications are already well known in other fields in which MAR models are common, although they are frequently described under different names. In an effort to make MAR models more accessible to ecologists, we include a worked example using recently developed R packages (MAR1 and MARSS), freely available and open-access software.

  4. Risk drivers pose to themselves and other drivers by violating traffic rules.

    Science.gov (United States)

    Penmetsa, Praveena; Pulugurtha, Srinivas S

    2017-01-02

    Violation of traffic rules is a major contributing factor in both crashes and fatalities in the United States. This study aims at quantifying risk that drivers pose to themselves and other drivers by violating traffic rules. Crash data from 2010 to 2013 were gathered for the state of North Carolina. Descriptive analysis was carried out to identify frequent traffic violations and who were committing the traffic violations that resulted in crashes. A multinomial logit model was then developed to examine the relation between different traffic violations and driver injury severity. Additionally, odds ratios were estimated to identify the likelihood (probability) of severe or moderate injury to the driver and other drivers due to a driver violating a traffic rule that led to a crash. Exceeding the speed limit is more likely to result in severe injury compared to disregarding traffic signals. However, going the wrong way is more likely to result in severe injury to other drivers when compared to any other traffic violation. Driving under the influence of alcohol is 2 times more likely to result in severe injury than driving under the influence of drugs. These 2 traffic violations by a driver are almost equally likely to result in severe injury to other drivers. Drivers often perceive that violating traffic rules will not result in a crash or severe injury. However, the results from this study show that a majority of the traffic violations lead to severe injury to the violator as well as to other drivers. The findings from this study serve as documented evidence to educate drivers about the risk they pose to themselves and to other drivers by violating traffic rules and encourage the adaptation of safe driving behavior in order to contribute toward reaching the "zero traffic deaths" vision. They also help make policy changes pertaining to penalty points and fines for violating a traffic rule.

  5. Driver model used in vehicle tire blow-out simulation%用于爆胎车辆仿真的驾驶员模型

    Institute of Scientific and Technical Information of China (English)

    刘涛; 郭孔辉

    2012-01-01

    分析了驾驶员模型在汽车爆胎仿真应用中存在的问题及爆胎后车辆响应特性的变化,指出爆胎后车辆响应特性发生改变是导致驾驶员模型不能控制爆胎后汽车回到原路径的根本原因。建立了考虑爆胎后车辆左、右转向特性不对称的驾驶员模型,并进行了仿真。最后在原驾驶员模型中加入状态参考器,并对不同车速下的状态参考器参数进行辨识。解决了驾驶员模型在汽车爆胎仿真中的应用问题,为进一步研究汽车爆胎后驾驶员的操作规律及爆胎后汽车的稳定性控制提供了参考。%The problem of application of the driver model in the vehicle tire blow-out simulation and the changes of the vehicle response behavior after the tire blow-out were analyzed,and it was found that vehicle response changes after the tire blow-out are the main cause leading to the problem that the driver model can not drive the vehicle back to the original trajectory.A new driver model considering the fact that the vehicle is characterized by unsymmetric leftward and rightward turning after the tire blow-out was built and its simulation was performed.A vehicle state reference module was embedded in the original driver model and its parameters were identified under different driving speeds.Thus the problem of application of the driver model in the vehicle tire blow-out was solved,providing a reference for the study of driver operation behavior and stability control of the vehicle after tire blow-out.

  6. Gas Turbine Engine Behavioral Modeling

    OpenAIRE

    Meyer, Richard T; DeCarlo, Raymond A.; Pekarek, Steve; Doktorcik, Chris

    2014-01-01

    This paper develops and validates a power flow behavioral model of a gas tur- bine engine with a gas generator and free power turbine. “Simple” mathematical expressions to describe the engine’s power flow are derived from an understand- ing of basic thermodynamic and mechanical interactions taking place within the engine. The engine behavioral model presented is suitable for developing a supervisory level controller of an electrical power system that contains the en- gine connected to a gener...

  7. Behavior models for software architecture

    OpenAIRE

    Auguston, Mikhail

    2014-01-01

    Approved for public release; distribution is unlimited. Approved for public release; distribution is unlimited Monterey Phoenix (MP) is an approach to formal software system architecture specification based on behavior models. Architecture modeling focuses not only on the activities and interactions within the system, but also on the interactions between the system and its environment, providing an abstraction for interaction specification. The behavior of the system is defined as a set...

  8. Mathematical models of human behavior

    DEFF Research Database (Denmark)

    Møllgaard, Anders Edsberg

    During the last 15 years there has been an explosion in human behavioral data caused by the emergence of cheap electronics and online platforms. This has spawned a whole new research field called computational social science, which has a quantitative approach to the study of human behavior. Most...... studies have considered data sets with just one behavioral variable such as email communication. The Social Fabric interdisciplinary research project is an attempt to collect a more complete data set on human behavior by providing 1000 smartphones with pre-installed data collection software to students...... data set, along with work on other behavioral data. The overall goal is to contribute to a quantitative understanding of human behavior using big data and mathematical models. Central to the thesis is the determination of the predictability of different human activities. Upper limits are derived...

  9. A Stochastic LWR Model with Consideration of the Driver's Individual Property%A Stochastic LWR Model with Consideration of the Driver's Individual Property

    Institute of Scientific and Technical Information of China (English)

    唐铁桥; 王云鹏; 余贵珍; 黄海军

    2012-01-01

    In this paper,we develop a stochastic LWR model based on the influences of the driver's individual property on his/her perceived density and speed deviation.The numerical results show that the driver's individual property has great effects on traffic flow only when the initial density is moderate,i.e.,at this time,oscillating traffic flow will occur and the oscillating phenomena in the traffic system consisting of the conservative and aggressive drivers is more serious than that in the traffic system consisting of the conservative (aggressive) drivers.

  10. Conditional or unconditional? The effects of implementation intentions on driver behavior.

    Science.gov (United States)

    Brewster, Sarah E; Elliott, Mark A; McCartan, Rebecca; McGregor, Bruce; Kelly, Steve W

    2016-03-01

    Implementation intentions (if-then plans) exert conditional effects on behavior, meaning that their ability to change behavior is conditional upon encountering the critical situation specified in the if component of the plan. In the present study, we tested whether implementation intentions can exert unconditional effects on behavior. Consistent with the process of operant generalization, we hypothesized that implementation intentions would change behavior, not only in situations that are contextually identical to those specified in the if component but also in contextually similar situations. Implementation intentions were not expected to generate behavior-change in contextually different situations to those specified. Participants (N = 139) completed questionnaires measuring speeding behavior and motivation to speed. Experimental participants then specified implementation intentions to avoid speeding in critical situations that were contextually identical, similar, or different to those subsequently encountered on a driving simulator. Control participants received educational information about the risks of speeding. All participants then drove on a driving simulator. Consistent with the hypotheses participants in both the contextually identical and similar conditions exceeded the speed limit less frequently than did controls. There was no difference in speeding behavior between the contextually different and control conditions. Implications of the findings for behavior-change are discussed.

  11. Analyzing and modeling heterogeneous behavior

    Science.gov (United States)

    Lin, Zhiting; Wu, Xiaoqing; He, Dongyue; Zhu, Qiang; Ni, Jixiang

    2016-05-01

    Recently, it was pointed out that the non-Poisson statistics with heavy tail existed in many scenarios of human behaviors. But most of these studies claimed that power-law characterized diverse aspects of human mobility patterns. In this paper, we suggest that human behavior may not be driven by identical mechanisms and can be modeled as a Semi-Markov Modulated Process. To verify our suggestion and model, we analyzed a total of 1,619,934 records of library visitations (including undergraduate and graduate students). It is found that the distribution of visitation intervals is well fitted with three sections of lines instead of the traditional power law distribution in log-log scale. The results confirm that some human behaviors cannot be simply expressed as power law or any other simple functions. At the same time, we divided the data into groups and extracted period bursty events. Through careful analysis in different groups, we drew a conclusion that aggregate behavior might be composed of heterogeneous behaviors, and even the behaviors of the same type tended to be different in different period. The aggregate behavior is supposed to be formed by "heterogeneous groups". We performed a series of experiments. Simulation results showed that we just needed to set up two states Semi-Markov Modulated Process to construct proper representation of heterogeneous behavior.

  12. An Uneasy Look at Behavior Modeling.

    Science.gov (United States)

    Parry, Scott B.; Reich, Leah R.

    1984-01-01

    Key points in a typical behavior modeling instructional sequence are given. Some problems of behavior modeling are analyzed and solutions are offered. Article is ended with a discussion of some design limitations built into behavior modeling. (JB)

  13. The development of collective personality: the ontogenetic drivers of behavioral variation across groups

    Directory of Open Access Journals (Sweden)

    Sarah E Bengston

    2014-12-01

    Full Text Available For the past decade, the study of personality has become a topic on the frontier of behavioral ecology. However, most studies have focused on exploring inter-individual behavioral variation in solitary animals, and few account for the role that social interactions may have on the development of an individual’s personality. Moreover, a social group may exhibit collective personality: an emergent behavioral phenotype displayed at the group-level, which is not necessarily the sum or average of individual personalities within that group. The social environment, in many cases, can determine group success, which then influences the relative success of all the individuals in that group. In addition, group-level personality may itself evolve, subject to the same selection pressures as individual-level behavioral variation, when the group is a unit under selection. Therefore, we reason that understanding how collective personalities emerge and change over time will be imperative to understanding individual- and group-level behavioral evolution.Personality is considered to be fixed over an individual’s lifetime. However, behavior may shift throughout development, particularly during adolescence. Therefore, juvenile behavior should not be compared with adult behavior when assessing personality. Similarly, as conditions within a group and/or the local environment can shift, group behavior may similarly fluctuate as it matures. We discuss potential within-group factors, such as group initiation, group maturation, genetic make-up of the group, and the internal social environment, and external factors, such as well as how local environment may play a role in generating group-level personalities. There are a variety of studies that explore group development or quantify group personality, but few that integrate both processes. Therefore, we conclude by discussing potential ways to evaluate development of collective personality, and propose several focal

  14. Simulations of transonic shock-tube flow with a model micro-cylinder in the driver.

    Science.gov (United States)

    Liu, Yi; Kendall, Mark A F

    2007-02-01

    A unique hand-held needle-free powder injection system, using a transient shock-tube flow to deliver powder genes and drugs into human skin for a wide range of treatments, has been proposed. In the development of such devices, a strong non-linear phenomenon, possibly shock process instead of unsteady expansion waves, was observed in the driver portion of the shock-tube flow in the presence of a gas micro-cylinder. In this paper, we further investigate effects of a model micro-cylinder in the driver on the gas dynamics of a prototype clinical device numerically. To accurately simulate such complex shock-tube flows, an efficient numerical solver, MIFVS, is extended to incorporate with a transition-modified turbulence model. Comparison with experimental measurements shows that the extended MIFVS accurately predicts pressure traces in both laminar and turbulent regimes. The separation zone due to a strong non-linear process is properly captured via such transition-modified turbulence model. Numerical investigations and discoveries are presented and discussed.

  15. Improving Driver Performance. A Curriculum for Licensed Drivers.

    Science.gov (United States)

    Highway Users Federation for Safety and Mobility, Washington, DC.

    Curriculum material presented in this manual is for use in the development of an instructional program for drivers who either want or need to improve their driving performance. Three principal units are included: man and highway transportation, driver performance, and factors influencing driver behavior. Each unit is further divided into episodes…

  16. Drivers' Red Light Running Behavior Analysis%机动车闯红灯行为影响因素分析

    Institute of Scientific and Technical Information of China (English)

    王雪松; 李佳; 钟楚君

    2015-01-01

    信号控制交叉口由闯红灯引起的交通事故具有较高的伤亡率.为深入了解闯红灯行为的影响因素,利用人工记录与视频观测结合的方法对上海市4个信号控制交叉口进行调查.基于流行病学影响因素研究方法选择未闯红灯行为作为对照组与闯红灯行为对比,以排除无关因素.对调查数据进行行为编码,考虑到各个交叉口的异质性,基于随机效应逻辑斯特模型在交叉口层面分析驾驶环境、驾驶人特点、车辆特征对闯红灯行为的影响.结果表明,本地驾驶人、男性驾驶人、客车更容易闯红灯,流量大会增加闯红灯的可能性;此外,是否为本地车辆、车内是否有乘客对闯红灯行为也有显著影响.%Injury and fatal crash rates are generally higher at signalized intersections due to the red light running problems. To investigate red light running behavior, a research was conducted by collecting data manually and automatically with video cameras at four signalized intersections in Shanghai. Based on the investigation methods commonly used in epidemiology studies, this research compared driving behavior between vehicles running red light and vehicles not running red light to eliminate other influential factors' effect. The different driving behaviors were coded for analysis. Considering the differences in each inter-section's design and traffic flow, the research analyzes the impact of driving environment, characteristics of the drivers and vehicles on red light running behavior based on Random Effect Logistic Regression Model. The results show that local, male drivers and passenger vehicle are more likely to run red light and the probability of red light running increases when traffic volume is higher. In addition, whether the vehi-cle is local and whether there are passengers in the vehicle also have significant impact on red light run-ning behavior.

  17. A two-lane cellular automaton traffic flow model with the influence of driver, vehicle and road

    Science.gov (United States)

    Zhao, Han-Tao; Nie, Cen; Li, Jing-Ru; Wei, Yu-Ao

    2016-07-01

    On the basis of one-lane comfortable driving model, this paper established a two-lane traffic cellular automata model, which improves the slow randomization effected by brake light. Considering the driver psychological characteristics and mixed traffic, we studied the lateral influence between vehicles on adjacent lanes. Through computer simulation, the space-time diagram and the fundamental figure under different conditions are obtained. The study found that aggressive driver makes a slight congestion in low-density traffic and improves the capacity of high-density traffic, when the density exceeds 20pcu/km the more aggressive drivers the greater the flow, when the density below 40pcu/km driver character makes an effect, the more cautious driver, the lower the flow. The ratio of big cars has the same effect as the ratio of aggressive drivers. Brake lights have the greatest impact on traffic flow and when the density exceeds 10pcu/km the traffic flow fluctuates. Under periodic boundary conditions, the disturbance of road length on traffic is minimal. The lateral influence only play a limited role in the medium-density conditions, and only affect the average speed of traffic at low density.

  18. ANIMAL BEHAVIORAL MODELS OF TINNITUS

    Institute of Scientific and Technical Information of China (English)

    ZHANG Chao; WANG Qiuju; SUN Wei

    2014-01-01

    The pathophysiology of tinnitus is poorly understood and treatments are often unsuccessful. A number of animal models have been developed in order to gain a better understanding of tinnitus. A great deal has been learned from these models re-garding the electrophysiological and neuroanatomical correlates of tinnitus following exposure to noise or ototoxic drugs. Re-liable behavioral data is important for determining whether such electrophysiological or neuroanatomical changes are indeed related to tinnitus. Of the many documented tinnitus animal behavioral paradigms, the acoustic startle reflex had been pro-posed as a simple method to identify the presence or absence of tinnitus. Several behavioral models based on conditioned re-sponse suppression paradigms have also been developed. In addition to determining the presence or absence of tinnitus, some of the behavioral paradigms have provided signs of the onset, frequency, and intensity of tinnitus in animals. Although none of these behavioral models have been proved to be a perfect model, these studies provide useful information on understanding the neural mechanisms underlying tinnitus.

  19. Fuzzy System Model for Management of Driver Distractions in Motor Vehicles

    Directory of Open Access Journals (Sweden)

    Adnan Shaout

    2015-05-01

    Full Text Available In this paper a low cost and driver’s environment friendly design of a Fuzzy Logic software system to manage driver distractions in a motor vehicle is presented. The system uses four inputs; vehicle speed, radio volume setting, frequency of left or right hand turns per minute and brightness conditions external to the vehicle. The system provides a single output in the form of a Driver Attention Load rating. This rating is used as a parameter to determine the degree to which the driver’s environment needs to be adjusted in terms of radio volume level, brightness of instrument cluster display and reducing the amount of connected phone interruptions per minute. The Fuzzy Inference Software System is modeled and simulated using MATLAB. After simulation, the final system and associated graphical user interface are designed as a standalone application written in Java. An open source Java library called jFuzzyLogic is used to model the Fuzzy Inference System and the Java Swing toolkit is used for the design of the graphical user interface.

  20. Drivers of overweight mothers' food choice behaviors depend on child gender.

    Science.gov (United States)

    Bouhlal, Sofia; McBride, Colleen M; Ward, Dianne S; Persky, Susan

    2015-01-01

    National data suggest a higher prevalence of obesity among boys. One possible cause could be the food choices made by parents on behalf of their children. This study sought to determine whether and how mothers' food choices for their children differ by child gender and to understand the drivers of these differences. Data were analyzed from a randomized controlled trial conducted using a virtual reality-based buffet restaurant. Overweight mothers filled out questionnaires and received an information module. They were then immersed in a virtual buffet restaurant to select a lunch for their 4- to 5-year-old child. Of the 221 overweight mothers recruited, 55% identified their daughters as the child for whom they would be choosing the food. The caloric content of boys' meals was 43 calories higher than girls' (p = .015). This difference was due to extra calories from the less healthy food category (p = .04). Multivariate analyses identified more predictors of calorie choices for daughters' than sons' meals. Predictors of calories chosen for girls included: having both biological parents overweight (β = 0.26; p = .003), mother's weight (β = 0.17; p = .05), mother's education (β = -0.28; p = .001), her restriction of her child's food intake (β = -0.20; p = .02), and her beliefs about the importance of genetics in causing obesity (β = 0.19; p = .03). Mother's weight was the sole predictor of boys' meal calories (β = 0.20; p = .04). Differences in dietary choices made for young girls and boys may contribute to lifelong gender differences in eating patterns. A better understanding of differences in feeding choices made for girls versus boys could improve the design of childhood obesity prevention interventions. Published by Elsevier Ltd.

  1. Razvoj modela vozača za upravljanje vozilom tokom pravolinijskog kretanja / Development of driver model for vehicle control during a straight line motion

    Directory of Open Access Journals (Sweden)

    Miroslav Demić

    2007-04-01

    Full Text Available Upravljanje vozilom na pravolinijskom putu spada u specijalan slučaj analize dinamičkog sistema vozač - vozilo - okruženje, jer podužno kretanje vozila podrazumeva aktivno učešće vozača u uslovima koji su definisani parametrima puta i vozila. U savremenoj literaturi postoje pokušaji modeliranja pomenutog sistema u uslovima pravolinijskog kretanja, ali, do sada, nije definisan opšteprihvaćeni model vozača. Problem se usložava činjenicom da se u razmatranje mora uzeti i veoma složeno ponašanje motora i transmisije u dinamičkim uslovima. U radu je modeliran sistem vozač - vozilo u uslovima pravolinijskog kretanja radi praćenja zadate, najčešće, promenljive brzine vozila. / To drive the vehicle on a straight line road can be put as a special case analysis of a Driver-Vehicle-Environment dynamical system, because longitudinal vehicle motion means that active driver participates in the conditions defined by road and vehicle parameters. In contemporary literature, there are some attempts of modeling the mentioned system in the case of a straight line drive, but, so far, there is no generally accepted model of a driver. It should be mentioned that the problem is more complex with fact that a very complex motor and transmission behavior must be assumed in dynamic conditions. There are some attempts of modeling the driver and vehicle in the case of straight line driving, with a goal of tracking the given, frequently variable vehicle speed.

  2. 浅析我国酒后代驾行为--以酒后代驾合同为重心%Analysis on the Behavior of Designated Drivers in China-With the Focus of Designated Drivers Contract

    Institute of Scientific and Technical Information of China (English)

    盛钧俣

    2015-01-01

    With the comparative analysis and case analysis,based on the designated driver contract,the paper presents major viewpoints and cases in China,and mainly analyzes the effectiveness and property of des-ignated divers contract and the infringing problems that are caused by designated driving behaviors. It is point-ed out that although there is no definite legal classification in the behavior of designated driver,its behavior is regulated by the current law,and different behaviors of designated drivers are applicable to different legal rela-tions. In our modern legal system,declaring the legal applicability of both designated drivers and substituted drivers,and the commitment of infringing responsibility caused by designated driving,can be of significance in the regulation development of designated driving service.%采用对比分析法和案例分析法,以酒后代驾合同为突破口,罗列国内主流观点和已判案例,重点分析了酒后代驾合同的效力和性质,以及酒后代驾行为导致的侵权问题。研究指出:虽然酒后代驾行为没有明确的法律分类,但其行为仍然受到已有法律的规范,可根据不同的酒后代驾行为适用不同的法律关系。在我国现行法律体系内,明确酒后代驾双方的法律关系适用和酒后代驾行为导致的侵权责任承担,对于酒后代驾行业的规范发展具有重要意义。

  3. Psychosocial Predictors of Compliance with Speed Limits and Alcohol Limits by Spanish Drivers: Modeling Compliance of Traffic Rules

    Directory of Open Access Journals (Sweden)

    Rebeca Bautista

    2015-09-01

    Full Text Available To prevent dangerous driving behaviors, the Spanish government has implemented public policies focused primarily on increasing the harshness of sanctions for violations of traffic laws. However, empirical evidence has demonstrated that other factors, such as social norms and one’s own value system, have an impact on people’s motivation to obey the law. A telephone survey was administered to a random sample of 570 Spanish drivers in order to determine the role played by each of these factors in compliance with two of the most flouted traffic rules. Logistic regression of the data allowed for the construction of models and arrive at the following conclusions: (1 social influence exerted by the reference group is a determining factor in compliance with both traffic laws; (2 legitimacy factors play an important role in complying with alcohol limits; and (3 variables from the deterrence approach only influenced compliance with speed limits, and then only moderately. The results of the present study suggest a need for a review of current public policy approaches for the prevention of dangerous driving behaviors.

  4. Driver Steering Control and Full Vehicle Dynamics Study Based on a Nonlinear Three-Directional Coupled Heavy-Duty Vehicle Model

    Directory of Open Access Journals (Sweden)

    S. H. Li

    2014-01-01

    Full Text Available Under complicated driving situations, such as cornering brake, lane change, or barrier avoidance, the vertical, lateral, and longitudinal dynamics of a vehicle are coupled and interacted obviously. This work aims to propose the suitable vehicle and driver models for researching full vehicle dynamics in complicated conditions. A nonlinear three-directional coupled lumped parameters (TCLP model of a heavy-duty vehicle considering the nonlinearity of suspension damping and tire stiffness is built firstly. Then a modified preview driver model with nonlinear time delay is proposed and connected to the TCLP model to form a driver-vehicle closed-loop system. The presented driver-vehicle closed-loop system is evaluated during a double-lane change and compared with test data, traditional handling stability vehicle model, linear full vehicle model, and other driver models. The results show that the new driver model has better lane keeping performances than the other two driver models. In addition, the effects of driver model parameters on lane keeping performances, handling stability, ride comfort, and roll stability are discussed. The models and results of this paper are useful to enhance understanding the effects of driver behaviour on full vehicle dynamics.

  5. The Relationship Between Duration of Postrotary Nystagmus and Driver Behavior: Learning Theory Module.

    Science.gov (United States)

    Geier, Suzanne Smith; Young, Barbara

    It was hypothesized that behavior patterns, learned early in life and maintained by almost continuous reinforcement, are determined by basic physiology, which in this study is represented by the duration of postrotary nystagmus (involuntary eyeball movement following rotational stimulation). The Southern California Postrotary Nystagmus Test was…

  6. Generalizations on consumer innovation adoption : A meta-analysis on drivers of intention and behavior

    NARCIS (Netherlands)

    Arts, Joep W. C.; Frambach, Ruud T.; Bijmolt, Tammo H. A.

    2011-01-01

    Previous research has shown that consumer intentions to adopt innovations are often poor predictors of adoption behavior. An important reason for this may be that the evaluative criteria consumers use in both stages of the adoption process weigh differently. Using construal level theory, we develop

  7. Generalizations on consumer innovation adoption : A meta-analysis on drivers of intention and behavior

    NARCIS (Netherlands)

    Arts, Joep W. C.; Frambach, Ruud T.; Bijmolt, Tammo H. A.

    Previous research has shown that consumer intentions to adopt innovations are often poor predictors of adoption behavior. An important reason for this may be that the evaluative criteria consumers use in both stages of the adoption process weigh differently. Using construal level theory, we develop

  8. Analogue Behavioral Modeling of GTO

    Directory of Open Access Journals (Sweden)

    Y. Azzouz

    2011-01-01

    Full Text Available An analog behavioral model of high power gate turn-off thyristor (GTO is developed in this paper. The fundamental methodology for the modeling of this power electronic circuit is based on the use of the realistic diode consideration of non-linear junctions. This modeling technique enables to perform different simulations taking into account the turn-on and turn-off transient behaviors in real-time. The equivalent circuits were simulated with analog software developed in our laboratory. It was shown that the tested simple and compact model allows the generation of accurate physical characteristics of power thyristors under dynamic conditions. The model understudy was validated with analog simulations based on operational amplifier devices.

  9. Modeling of Agent Behavior Using Behavioral Specifications

    NARCIS (Netherlands)

    Sharpanskykh, A.; Treur, J.

    2006-01-01

    The behavioral dynamics of a cognitive agent can be considered both from an external and an internal perspective. From the external perspective, behavior is described by specifying (temporal) correlations between input and output states of the agent. From the internal perspective the agent’s dynamic

  10. An opinion-driven behavioral dynamics model for addictive behaviors

    Science.gov (United States)

    Moore, Thomas W.; Finley, Patrick D.; Apelberg, Benjamin J.; Ambrose, Bridget K.; Brodsky, Nancy S.; Brown, Theresa J.; Husten, Corinne; Glass, Robert J.

    2015-04-01

    We present a model of behavioral dynamics that combines a social network-based opinion dynamics model with behavioral mapping. The behavioral component is discrete and history-dependent to represent situations in which an individual's behavior is initially driven by opinion and later constrained by physiological or psychological conditions that serve to maintain the behavior. Individuals are modeled as nodes in a social network connected by directed edges. Parameter sweeps illustrate model behavior and the effects of individual parameters and parameter interactions on model results. Mapping a continuous opinion variable into a discrete behavioral space induces clustering on directed networks. Clusters provide targets of opportunity for influencing the network state; however, the smaller the network the greater the stochasticity and potential variability in outcomes. This has implications both for behaviors that are influenced by close relationships verses those influenced by societal norms and for the effectiveness of strategies for influencing those behaviors.

  11. Dealing with Drought: Decoupling Climatic and Management-Related Drivers of Water Conservation Behavior

    Science.gov (United States)

    Hemati, A.; Rippy, M.; Grant, S. B.

    2015-12-01

    As global populations grow, cities in drought prone regions of the world such as California and South East Australia are faced with escalating water scarcity and water security challenges. The management approaches geared towards addressing these challenges are diverse. Given the myriad of possible approaches and the tendency to apply them in combination, successful management actions can be difficult to identify. Background climactic variability further complicates the story, making transfer of management lessons from one drought stressed region to another difficult. Here we use Melbourne, a city of 4.3 million people in South East Australia that recently faced and overcame a > 10 year "Millennium" drought, as a test case for evaluating the relative importance of various management-related and climactic factors in driving reductions in municipal water consumption (~60% in 12 years). Our analysis suggests that Melbourne's declining municipal consumption cannot be explained by potable substitution alone, as reductions in municipal consumption were not matched by increased use of alternative sources (e.g., urban rain or recycled water). Thus, water conservation behavior (not source switching) may be responsible for the majority of demand reduction in Melbourne. Interestingly, while voluntary or mandatory water restrictions appear to have substantially altered the rate of change of consumption near the end of Melbourne's Millennium drought (e.g., forcing a period of intense conservation), overall conservation behavior precedes these restrictions. This suggests that other rapidly implemented (and hither too unquantified) management approaches such as advertising or newspapers may have driven water conservation behavior early in the drought. Climatic factors, particularly precipitation may also have influenced conservation behavior; changes in precipitation were significantly positively correlated with changes in water consumption at a lag of 18 months. Similar

  12. 基于视频序列的列车驾驶员行为自动识别算法的研究%Research on Automatic Recognition Algorithm of Train Driver Behavior Based on Video Sequence

    Institute of Scientific and Technical Information of China (English)

    李梅; 龚威; 贾俊伟

    2014-01-01

    设计开发了集视频采集、运动目标检测、行为识别和自动报警为一体的驾驶员行为识别系统。对其中运动目标检测和行为识别算法进行了重点研究,针对驾驶室内光照变化等影响因素,采用混合高斯背景模型与帧间差分法结合的改进算法,实现运动目标的检测,用星型骨架法提取行为特征,最后应用隐马尔科夫模型实现了对驾驶员行为的快速识别。%This paper designs and develops a driver behavior recognition system with the integration of video capture, moving target detection, and behavior recognition and auto alarm. The paper focuses on the study of moving target detection and behavior recognition algorithm. In view of the influence factors of illumination changes in driver’s cab and soon, the paper accomplishes moving target detection by using the improved algorithm of combining the Gaussian mixture background model and the inter frame difference method, and then extracts the driver behavior characteristics by star skeleton feature extraction method, finally the paper achieves rapid recognition of driver behavior by hidden Markov model.

  13. The cold driver: Cold stress while driving results in dangerous behavior.

    Science.gov (United States)

    Morris, Drew M; Pilcher, June J

    2016-10-01

    Cool vehicle cabin temperatures can induce short-term non-hypothermic cold stress. The current study created a cold condition to examine the impact of cold stress on driving behavior. Forty-four participants drove a high-fidelity driving simulator during a thermal neutral or local torso cooled condition. Participants performed additional tasks to assess attention, psychomotor vigilance, and manual dexterity. Skin temperature was significantly lower in the cold condition while internal temperature was unaffected. Participants who had higher subjective ratings of cold followed lead vehicles closer and started to brake later. Participants in the cold condition followed the lead car 22% (0.82s) closer and started braking 20% (2.35s) later when approaching a stop sign during the car-following task. No change in attention, psychomotor vigilance, or dexterity was observed. The current results suggest that cold environmental conditions can contribute to dangerous driving behaviors. Measures of cold perception were also shown to predict changes in driving behavior.

  14. Psychological Study of the behavior standards in traffic environments, in groups of private and professional drivers in Lima

    OpenAIRE

    Ponce D., Carlos; Facultad de Psicología, Universidad Nacional Mayor de San Marcos, Lima, Perú; Bulnes B., Mario; Facultad de Psicología, Universidad Nacional Mayor de San Marcos, Lima, Perú; Aliaga T., Jaime; Facultad de Psicología, Universidad Nacional Mayor de San Marcos, Lima, Perú; Delgado C., Eliana; Facultad de Psicología, Universidad Nacional Mayor de San Marcos, Lima, Perú; Solís N., Rolando; Facultad de Psicología, Instituto de Investigaciones Psicológicas, Universidad Nacional Mayor de San Marcos Ciudad Universitaria de San Marcos. Facultad de Psicología. Instituto de Investigaciones Psicológicas. Av. Germán Amézaga s/n., Lima 1 - Perú

    2014-01-01

    Objectives: 1. To understand behaviour styles of private and public service drivers in Lima, Metropolitan Area. 2. To detect the existence of significant differences in behaviour styles in traffic environments, within private and public service drivers of Lima, Metropolitan Area, in a global and specific manner. 3. To investigate the existence of significant differences of behaviour styles in traffic environments, within private and public service drivers of Lima, Metropolitan Area, in relati...

  15. Behavior Modeling -- Foundations and Applications

    DEFF Research Database (Denmark)

    This book constitutes revised selected papers from the six International Workshops on Behavior Modelling - Foundations and Applications, BM-FA, which took place annually between 2009 and 2014. The 9 papers presented in this volume were carefully reviewed and selected from a total of 58 papers...

  16. Job stress, fatigue, and job dissatisfaction in Dutch lorry drivers: towards an occupation specific model of job demands and control

    OpenAIRE

    de Croon, E.M.; Blonk, R. W. B.; de Zwart, B.C.H.; Frings-Dresen, M.H.W.; Broersen, J.P.J.

    2002-01-01

    Objectives: Building on Karasek's model of job demands and control (JD-C model), this study examined the effects of job control, quantitative workload, and two occupation specific job demands (physical demands and supervisor demands) on fatigue and job dissatisfaction in Dutch lorry drivers.

  17. Influence of Steering Behavior on Driver's Gazing Behavior in City Road%城市道路中驾驶员转向行为对注视行为的影响

    Institute of Scientific and Technical Information of China (English)

    孟妮; 韩丹

    2013-01-01

    驾驶员的注视行为对其驾驶安全具有重要影响.为了分析城市道路交通环境中转向行为对驾驶员注视行为的影响,将驾驶员的注视时间、角度、搜索广度进行分析.通过试验,利用EyeLinkⅡ 型眼动仪对40名驾驶员的眼动参数及注视行为进行了测试和记录,并根据测试结果分析了转向不同的方向时驾驶员的注视行为特征.采用SPSS19.0数据分析软件对数据进行统计处理,得出结论:不同的转向显著影响着驾驶员的水平、垂直搜索广度.%Driver's gazing behavior has an important effect on driving safety. In order to analyze the influence of steering behavior on driver's gazing behavior in city road, driver's fixation time, angle and search range were analyzed. Through the test of using EyeLink II eye tracker, 40 driver's eye movement parameters and gazing behaviors were tested and recorded. According to the testing results of different steering processes, the characteristics of driver's gazing behavior were analyzed. Finally, by using the SPSS19. 0 data analysis software for data statistic processing, it is concluded that different steering behaviors affect driver's levels and vertical search ranges.

  18. 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.

  19. Research on the Influence of Traffic Information on Drivers'Day-to-Day Route Choice Behavior%交通信息对驾驶员逐日路径选择行为影响研究

    Institute of Scientific and Technical Information of China (English)

    刘诗序; 关宏志; 严海

    2011-01-01

    在无信息、发布历史信息和发布预测信息3种信息条件下,分别建立了驾驶员的路径理解行程时间期望值的更新模型.通过建立一个含有2条平行路径的简单路网,对3种交通信息条件下驾驶员逐日路径选择进行了仿真,结果表明:交通信息对驾驶员的作用与驾驶员路径选择的随机程度和对信息依赖程度有关;在3种交通信息条件下,路网均不能达到用户均衡平衡状态;交通信息的预测方法不同,预测信息对驾驶员路径选择的影响有差异.%Firstly, it is assumed that drivers select routes in terms of drivers' perceived travel time on routes. Consequently, the route choice model is developed. Then, updating the drivers routes perceived travel time is modeled respectively in three kinds of traffic information conditions, which are absence of information, releasing historical information and releasing forecast information. Finally, by establishing a simple road network with two parallel paths, the drivers day-to-day route choice is simulated in the three kinds of traffic information conditions. The results show that the impacts of traffic information on drivers are related to the degree of random of driver s route choice and reliance on the information. In addition, the road network can not reach user equilibrium in three kinds of information. Moreover, the drivers' route choice behavior is affected distinctly by different predicted traffic information.

  20. Effects of countdown timer on driver behavior after the onset of yellow light%倒计时表对黄灯启亮后的驾驶行为影响

    Institute of Scientific and Technical Information of China (English)

    龙科军; 何林儒; 龚雪雪

    2011-01-01

    Countdown timers were installed in many urban signalized intersections in China, however its pros and cons have not been discussed in depth. To test the effect of countdown timer on traffic safety at urban intersections, driver behavior at intersections with/without countdown timer were compared, from two aspects of driver decision making and time of vehicle crossing stop bar after the onset of yellow light. Six urban signalized intersections with similar road and traffic conditions in Chnngsha central district were selected, among which 3 intersections were installed with countdown timers and 3 without. The real driver behavior data along the straight lanes were collected by video tape, which include: vehicle distance to stop bar and velocity at the onset of yellow light, drivers decision to stop or enter, time of vehicle crossing stop bar, etc.. Binary logistics regression models were constructed for drivers' decision making at intersections after the onset of yellow signal. Result of models indicates that countdown timer influences drivers' decision making significantly. Under the same conditions of vehicle location and velocity, probability of drivers stopping before the stop bar at intersection with countdown timer is only 0.282 times to that without countdown timer. In further, nonparameters test of Mann-Whitney method was applied to test the effect of countdown timer on the time of vehicle crossing stop bar (TVC) after onset of yellow light. Statistics results indicate that: the average TVC increases from 1.52 s to 2.92 s; at the 5 percent level of significance, the median value of TVC with countdown timer is far higher than that without countdown timer. As conclusion, countdown timer has adverse effects on driver behavior during the yellow interval. It may induce more drivers to hurry into intersection after the onset of yellow light, prolong the time of vehicle crossing stop bar into red signal and increase red violations as well as conflict probability.%

  1. The American Medical Association Older Driver Curriculum for Health Professionals: Changes in Trainee Confidence, Attitudes, and Practice Behavior

    Science.gov (United States)

    Meuser, Thomas M.; Carr, David B.; Irmiter, Cheryl; Schwartzberg, Joanne G.; Ulfarsson, Gudmundur F.

    2010-01-01

    Few gerontology and geriatrics professionals receive training in driver fitness evaluation, state reporting of unfit drivers, or transportation mobility planning yet are often asked to address these concerns in the provision of care to older adults. The American Medical Association (AMA) developed an evidence-based, multi-media Curriculum to…

  2. Temporal Performance of Advanced Driver Assistance Systems vis-á-vis Human Driving Behavior in Dense Traffic

    NARCIS (Netherlands)

    Hamberg, R.; Hendriks, T.; Bijlsma, T.

    2015-01-01

    Advanced Driver Assistance Systems (ADAS) are becoming ubiquitous, and gradually take over the role of human drivers in the vision of the automotive sector. Humans are different from most systems: while in general humans exhibit a much higher error rate when performing specific functions, they are a

  3. Structural equation modeling of the proximal–distal continuum of adherence drivers

    Directory of Open Access Journals (Sweden)

    McHorney CA

    2012-11-01

    Full Text Available Colleen A McHorney,1 Ning Jackie Zhang,2 Timothy Stump,3 Xiaoquan Zhao41US Outcomes Research, Merck, North Wales, PA, 2University of Central Florida, Orlando, 3Indiana University School of Medicine, Indianapolis, 4George Mason University, Fairfax, USAObjectives: Nonadherence to prescription medications has been shown to be significantly influenced by three key medication-specific beliefs: patients' perceived need for the prescribed medication, their concerns about the prescribed medication, and perceived medication affordability. Structural equation modeling was used to test the predictors of these three proximal determinants of medication adherence using the proximal–distal continuum of adherence drivers as the organizing conceptual framework.Methods: In Spring 2008, survey participants were selected from the Harris Interactive Chronic Illness Panel, an internet-based panel of hundreds of thousands of adults with chronic disease. Respondents were eligible for the survey if they were aged 40 years and older, resided in the US, and reported having at least one of six chronic diseases: asthma, diabetes, hyperlipidemia, hypertension, osteoporosis, or other cardiovascular disease. A final sample size of 1072 was achieved. The proximal medication beliefs were measured by three multi-item scales: perceived need for medications, perceived medication concerns, and perceived medication affordability. The intermediate sociomedical beliefs and skills included four multi-item scales: perceived disease severity, knowledge about the prescribed medication, perceived immunity to side effects, and perceived value of nutraceuticals. Generic health beliefs and skills consisted of patient engagement in their care, health information-seeking tendencies, internal health locus of control, a single-item measure of self-rated health, and general mental health. Structural equation modeling was used to model proximal–distal continuum of adherence drivers.Results: The

  4. Driver behavior analysis during ACC activation and deactivation in a real traffic environment

    NARCIS (Netherlands)

    Pauwelussen, J.; Feenstra, P.J.

    2010-01-01

    For the development of a traffic-simulation model to estimate the effect of adaptive cruise control (ACC) systems on traffic safety, throughput, and environment, data of a field operational test (FOT) were analyzed, in which vehicles were equipped with ACC and lane-departure warning (LDW) systems. T

  5. Circuit models and three-dimensional electromagnetic simulations of a 1-MA linear transformer driver stage

    Directory of Open Access Journals (Sweden)

    D. V. Rose

    2010-09-01

    Full Text Available A 3D fully electromagnetic (EM model of the principal pulsed-power components of a high-current linear transformer driver (LTD has been developed. LTD systems are a relatively new modular and compact pulsed-power technology based on high-energy density capacitors and low-inductance switches located within a linear-induction cavity. We model 1-MA, 100-kV, 100-ns rise-time LTD cavities [A. A. Kim et al., Phys. Rev. ST Accel. Beams 12, 050402 (2009PRABFM1098-440210.1103/PhysRevSTAB.12.050402] which can be used to drive z-pinch and material dynamics experiments. The model simulates the generation and propagation of electromagnetic power from individual capacitors and triggered gas switches to a radially symmetric output line. Multiple cavities, combined to provide voltage addition, drive a water-filled coaxial transmission line. A 3D fully EM model of a single 1-MA 100-kV LTD cavity driving a simple resistive load is presented and compared to electrical measurements. A new model of the current loss through the ferromagnetic cores is developed for use both in circuit representations of an LTD cavity and in the 3D EM simulations. Good agreement between the measured core current, a simple circuit model, and the 3D simulation model is obtained. A 3D EM model of an idealized ten-cavity LTD accelerator is also developed. The model results demonstrate efficient voltage addition when driving a matched impedance load, in good agreement with an idealized circuit model.

  6. 视觉分心时驾驶人注视行为特性分析%Analysis of Drivers' Gazing Behavior during Visual Distraction

    Institute of Scientific and Technical Information of China (English)

    马勇; 付锐; 王畅; 郭应时; 袁伟; 宋殿明

    2013-01-01

    To explore the influences of visual distraction on drivers gazing behavior,and study the gazing behavior patterns during visual distraction,data on driver's eye movement data were recorded with a noncontact eye tracker faceLAB 5.0 when carrying out the naturalistic driving tests.By dividing drivers gazing area into four parts,driver's fixation frequencies and eyes off-road time duration features were analyzed.The results show that during the driver's eyes off-road,in-vehicle gazing is above 60%,and the fixation frequency on left rear-mirror is higher than that on right rear-mirror.About 90% duration of gazing behavior is shorter than 1.0 s,and more than 50% duration times are of 0.4-0.8 s.The average duration time for drivers gazing on left rear-mirror,dashboard and audio instruments are closely,while it is longer than these 3 areas for drivers gazing on right rear-mirror.%为探寻视觉分心对驾驶人注视行为的影响,研究视觉分心时的驾驶人注视行为,用非接触式眼动仪采集多位被试驾驶人在实际驾驶过程中的眼动数据,并将其注视区域分为4部分,分析驾驶人视线离开前方区域情况下的注视频次及注视时长特性.结果表明:驾驶人在视线离开前方区域情况下,超过60%的注视对象是车内区域,且驾驶人观察左后视镜区域的次数高于右后视镜区域.约90%的注视时长小于1.0s,注视时长为0.4~0.8 s的比例超过50%.驾驶人对左后视镜、仪表板和音响设备区域的注视时长均值比较接近,而对右后视镜的注视时长均值大于这3个区域.

  7. Specifying comfortable driving postures for ergonomic design and evaluation of the driver workspace using digital human models.

    Science.gov (United States)

    Kyung, Gyouhyung; Nussbaum, Maury A

    2009-08-01

    Specifying comfortable driving postures is essential for ergonomic design and evaluation of a driver workspace. The present study sought to enhance and expand upon several existing recommendations for such postures. Participants (n = 38) were involved in six driving sessions that differed by vehicle class (sedan and SUV), driving venue (laboratory-based and field) or seat (from vehicles ranked high and low by vehicle comfort). Sixteen joint angles were measured in preferred postures to more completely describe driving postures, as were corresponding perceptual responses. Driving postures were found to be bilaterally asymmetric and distinct between vehicle classes, venues, age groups and gender. A subset of preferred postural ranges was identified using a filtering mechanism that ensured desired levels of perceptual responses. Accurate ranges of joint angles for comfortable driving postures, and careful consideration of vehicle and driver factors, will facilitate ergonomic design and evaluation of a driver workspace, particularly when embedded in digital human models.

  8. Feasibility of a driver performance data acquisition system

    Energy Technology Data Exchange (ETDEWEB)

    Carter, R.J.; Spelt, P.F. [Oak Ridge National Lab., TN (United States); Goodman, M.J. [National Highway Traffic Safety Administration, Washington, DC (United States). Office of Crash Avoidance Research

    1994-06-01

    The National Highway Traffic Safety Administration (NHTSA) envisions many future situations in which the effectiveness and consequences of new intelligent vehicle-highway systems technologies will need to be studied in actual production vehicles. Such studies will enable evaluations in vehicles which are familiar to drivers. These studies would be future enhanced by the availability of an instrumentation package that can be easily installed in these vehicles to enable specific vehicle configurations of interest to be evaluated, thereby increasing the variety of vehicle options that are available for study. Ideally, an approach is needed that would allow data collection from a variety of vehicle models and types, and would address the issue of driver familiarity. Such an approach is embodied in the concept of a driver performance data acquisition system that could be installed in a wide range of vehicles within a relatively short period of time. As a universally adaptable system, it would provide researchers with the ability to manually input data as well as directly record information on driver, vehicle, roadway, and environmental parameters. Furthermore, it would enable the measurement of driver performance in the driver`s own vehicle, thereby ensuring vehicle familiarity. In addition, it would be possible to measure driver performance in relation to any vehicle design characteristic at relatively little expense and effort, and would make it easy to update existing models of driver/vehicle behavior to reflect performance characteristics in vehicles of current manufacture.

  9. Analysis of speed control behavior for driver on mountain highway%山区公路上驾驶人的车速控制行为分析

    Institute of Scientific and Technical Information of China (English)

    邵毅明; 毛嘉川; 刘胜川; 徐进

    2011-01-01

    根据大量的路上行驶试验和断面速度观测数据,分析了道路几何线形与驾驶人速度选择行为之间的关系,建立了能够描述弯道行驶、驶进与驶离弯道、直线行驶时的速度选择模型和加、减速度模型,从而生成沿道路里程变化的期望速度曲线.用机械动力学分析软件ADAMS建立汽车的动力学模型,用VB6.0编制道路模块,用VC++7.0编制驾驶人模型,仿真开始阶段生成期望轨迹和期望速度,然后采用前视预瞄的策略进行跟随,实现了车辆的自主驾驶.模拟结果表明:汽车期望速度和行驶路线与汽车实际行驶速度和行驶路线变化趋势相同,以期望速度作为汽车跟随的目标速度,符合汽车的动力学特性要求,能够引领汽车在复杂山区道路上的安全行驶.%The relationship between road geometric characteristic and driving speed was analyzed based on driving experiments and observation data on highways. The mathematic models of acceleration, deceleration and driver's speed control behavior on curve, entering or leaving curve,driving on tangent were obtained, and desired speed profiles along road were generated by the models. A car dynamics model was created by using mechanical dynamics analysis software ADAMS, roadway module was developed by using VB6.0, driver module was developed by using VC++7.0. At the simulation beginning, desired speed and desired path were generated, the car followed them in preview strategy, and the autonomous driving of car was achieved. Simulation result shows that desire speed and desired path change in a same trend with actual driving speed and path. Desired speed can be as the objective for car to follow, it adapts car dynamics characteristics, and can guide the driving of car on complex mountain highways safely. 4 tabs,9 figs, 14 refs.

  10. Magnetic Field Shear in Kinetic Models Steps Toward Understanding Magnetic Reconnection Drivers

    Science.gov (United States)

    Black, Carrie; Antiochos, Spiro; DeVore, Rick; Karpen, Judith

    2015-11-01

    In the standard model for coronal mass ejections (CME) and/or solar flares, the free energy for the eruptive event resides in a strongly sheared magnetic. A pre-eruption force balance consists of an upward force due to the magnetic pressure of the sheared field and a downward tension due to overlying unsheared field. Magnetic reconnection disrupts this force balance; therefore, it is critical for understanding CME/flare initiation, to model the onset of reconnection driven by the build-up of magnetic shear. In MHD simulations, the application of a magnetic-field shear is a trivial matter. However, kinetic effects are dominant in the diffusion region and thus, it is important to examine this process with PIC simulations as well. The implementation of such a driver in PIC methods is challenging, however, and indicates the necessity of a true multiscale model for such processes in the solar environment. The field must be sheared self-consistently and indirectly to prevent the generation of waves that destroy the desired system. Plasma instabilities can arise nonetheless. Here, we show that we can control this instability and generate a predicted out-of-plane magnetic flux. This material is based upon work supported by the National Science Foundation under Award No. AGS-1331356.

  11. On our best behavior: optimality models in human behavioral ecology.

    Science.gov (United States)

    Driscoll, Catherine

    2009-06-01

    This paper discusses problems associated with the use of optimality models in human behavioral ecology. Optimality models are used in both human and non-human animal behavioral ecology to test hypotheses about the conditions generating and maintaining behavioral strategies in populations via natural selection. The way optimality models are currently used in behavioral ecology faces significant problems, which are exacerbated by employing the so-called 'phenotypic gambit': that is, the bet that the psychological and inheritance mechanisms responsible for behavioral strategies will be straightforward. I argue that each of several different possible ways we might interpret how optimality models are being used for humans face similar and additional problems. I suggest some ways in which human behavioral ecologists might adjust how they employ optimality models; in particular, I urge the abandonment of the phenotypic gambit in the human case.

  12. Breaking out of the economic box: energy efficiency, social rationality and non-economic drivers of behavioral change

    Energy Technology Data Exchange (ETDEWEB)

    Ehrhardt-Martinez, Karen; Laitner, John A. ' Skip' (ACEEE, American Council for an Energy-Efficient Economy, Washington, D.C. (United States))

    2009-07-01

    Energy concerns are increasingly on people's minds. According to a recent Gallup poll, nearly 30 percent of American's reported that energy prices were the most important financial problem facing their families today. But are these new concerns likely to translate into long-term behavioral changes and more energy-efficient behavior? Research suggests that it will take more than high prices to achieve maximum energy savings. People may like to think of themselves as rational economic actors, but a variety of studies by social-psychologists and behavioral economists reveal that people often act in ways that may be better described as 'socially-rational' and 'predictably irrational'. Despite these findings, many residential energy programs and most policy assessments continue to model potential energy savings as a function of existing technologies and the cost of those energy resources. This paper explores the ways in which individual behavior is shaped by the social context within which people operate and presents an alternative framework for modeling efficiency behavior. The alternative model recognizes that while individuals may not always behave in economically-rational ways, their behavior may be entirely rational from other vantage points. In fact, individuals often behave as rational social actors, determining what is and isn't 'appropriate' behavior by gleaning information from their own observations, from their peers, and from interactions within their sphere of social influence. As such, this paper explores the ways in which social rules, resources and context shape individual patterns of energy consumption. This alternative approach has important implications for program designs and policy recommendations.

  13. An empirical RBF model of the magnetosphere parameterized by interplanetary and ground-based drivers

    Science.gov (United States)

    Tsyganenko, N. A.; Andreeva, V. A.

    2016-11-01

    In our recent paper (Andreeva and Tsyganenko, 2016), a novel method was proposed to model the magnetosphere directly from spacecraft data, with no a priori knowledge nor ad hoc assumptions about the geometry of the magnetic field sources. The idea was to split the field into the toroidal and poloidal parts and then expand each part into a weighted sum of radial basis functions (RBF). In the present work we take the next step forward by having developed a full-fledged model of the near magnetosphere, based on a multiyear set of space magnetometer data (1995-2015) and driven by ground-based and interplanetary input parameters. The model consolidates the largest ever amount of data and has been found to provide the best ever merit parameters, in terms of both the overall RMS residual field and record-high correlation coefficients between the observed and model field components. By experimenting with different combinations of input parameters and their time-averaging intervals, we found the best so far results to be given by the ram pressure Pd, SYM-H, and N-index by Newell et al. (2007). In addition, the IMF By has also been included as a model driver, with a goal to more accurately represent the IMF penetration effects. The model faithfully reproduces both externally and internally induced variations in the global distribution of the geomagnetic field and electric currents. Stronger solar wind driving results in a deepening of the equatorial field depression and a dramatic increase of its dawn-dusk asymmetry. The Earth's dipole tilt causes a consistent deformation of the magnetotail current sheet and a significant north-south asymmetry of the polar cusp depressions on the dayside. Next steps to further develop the new approach are also discussed.

  14. Evapotranspiration from drained wetlands with different hydrologic regimes: Drivers, modeling, and storage functions

    Science.gov (United States)

    Wu, Chin-Lung; Shukla, Sanjay; Shrestha, Niroj K.

    2016-07-01

    We tested whether the current understanding of insignificant effect of drainage on evapotranspiration (ET) in the temperate region wetlands applies to those in the subtropics. Hydro-climatic drivers causing the changes in drained wetlands were identified and used to develop a generic model to predict wetland ET. Eddy covariance (EC)-based ET measurements were made for two years at two differently drained but close by wetlands, a heavily drained wetland (SW) (97% reduced surface storage) and a more functional wetland (DW) (42% reduced storage). Annual ET for more intensively drained SW was 836 mm, 34% less than DW (1271 mm) and the difference was significant (p = 0.001). This difference was mainly due to drainage driven differences in inundation and associated effects on net radiation (Rn) and local relative humidity. Two generic daily ET models, a regression model (MSE = 0.44 mm2, R2 = 0.80) and a machine learning-based Relevance Vector Machine (RVM) model (MSE = 0.36 mm2, R2 = 0.84), were developed with the latter being more robust. The RVM model can predict changes in ET for different restoration scenarios; a 1.1 m rise in drainage level showed 7% increase ET (18 mm) at SW while the increase at DW was negligible. The additional ET, 28% of surface flow, can enhance water storage, flood protection, and climate mitigation services at SW compared to DW. More intensely drained wetlands at higher elevation should be targeted for restoration for enhanced storage through increased ET. The models developed can predict changes in ET for improved evaluation of basin-scale effects of restoration programs and climate change scenarios.

  15. The Train Driver Recovery Problem - a Set Partitioning Based Model and Solution Method

    DEFF Research Database (Denmark)

    Rezanova, Natalia Jurjevna; Ryan, David

    The need to recover a train driver schedule occurs during major disruptions in the daily railway operations. Using data from the train driver schedule of 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 fo...... the depth-first search of the Branch & Bound tree. Preliminarily results are encouraging, showing that nearly all tested real-life instances produce integer solutions to the LP relaxation and solutions are found within a few seconds....

  16. A new car-following model with the consideration of incorporating timid and aggressive driving behaviors

    Science.gov (United States)

    Peng, Guanghan; He, Hongdi; Lu, Wei-Zhen

    2016-01-01

    In this paper, a new car-following model is proposed with the consideration of the incorporating timid and aggressive behaviors on single lane. The linear stability condition with the incorporating timid and aggressive behaviors term is obtained. Numerical simulation indicates that the new car-following model can estimate proper delay time of car motion and kinematic wave speed at jam density by considering the incorporating the timid and aggressive behaviors. The results also show that the aggressive behavior can improve traffic flow while the timid behavior deteriorates traffic stability, which means that the aggressive behavior is better than timid behavior since the aggressive driver makes rapid response to the variation of the velocity of the leading car. Snapshot of the velocities also shows that the new model can approach approximation to a wide moving jam.

  17. Assessment of driver stopping prediction models before and after the onset of yellow using two driving simulator datasets.

    Science.gov (United States)

    Ghanipoor Machiani, Sahar; Abbas, Montasir

    2016-11-01

    Accurate modeling of driver decisions in dilemma zones (DZ), where drivers are not sure whether to stop or go at the onset of yellow, can be used to increase safety at signalized intersections. This study utilized data obtained from two different driving simulator studies (VT-SCORES and NADS datasets) to investigate the possibility of developing accurate driver-decision prediction/classification models in DZ. Canonical discriminant analysis was used to construct the prediction models, and two timeframes were considered. The first timeframe used data collected during green immediately before the onset of yellow, and the second timeframe used data collected during the first three seconds after the onset of yellow. Signal protection algorithms could use the results of the prediction model during the first timeframe to decide the best time for ending the green signal, and could use the results of the prediction model during the first three seconds of yellow to extend the clearance interval. It was found that the discriminant model using data collected during the first three seconds of yellow was the most accurate, at 99% accuracy. It was also found that data collection should focus on variables that are related to speed, acceleration, time, and distance to intersection, as opposed to secondary variables, such as pavement conditions, since secondary variables did not significantly change the accuracy of the prediction models. The results reveal a promising possibility for incorporating the developed models in traffic-signal controllers to improve DZ-protection strategies.

  18. Analysis and modeling of parking behavior

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Analyzes the spatial structure of parking behavior and establishes a basic parking behavior model to represent the parking problem in downtown, and establishes a parking pricing model to analyze the parking equilibrium with a positive parking fee and uses a paired combinatorial logit model to analyze the effect of trip integrative cost on parking behavior and concludes from empirical results that the parking behavior model performs well.

  19. Land Transitions in the American Plains: Multilevel Modeling of Drivers of Grassland Conversion (1950 to 2000).

    Science.gov (United States)

    Sylvester, Kenneth M; Brown, Daniel G; Deane, Glenn D; Kornak, Rachel N

    2013-03-15

    This paper examines drivers of land-cover change in the U.S. Great Plains in the last half of the twentieth century. Its central aim is to evaluate the dynamics of grassland preservation and conversion, across the region, and to identify areas of grassland that were never plowed during the period. The research compares land-cover data from 400 sample areas, selected from and nested within 50 counties, to aggregate data from the agricultural and population censuses. The spatially explicit land-cover data were interpreted from aerial photographs taken at three time points (1950s, 1970s and 2000s). Sample areas were chosen using a stratified random design based on the Public Land Survey grid with in the target counties, in several clusters across the region. We modeled the sequences and magnitudes of changes in the interpreted air photo data in a multi-level panel model that included soil quality and slope of sample areas and agricultural activities and employment reported in the U.S. Censuses of Agriculture and Population. We conclude that land retirement programs and production subsidies have worked at cross purposes, destabilizing micro-level patterns of land use in recent decades, increasing levels of switching between cropland and grassland and reducing the size of remaining areas of native grassland in the U.S. Great Plains.

  20. The Chinese version of driver behaviors questionnaire (DBQ) :reliability and validity%驾驶行为问卷中文版的信效度研究

    Institute of Scientific and Technical Information of China (English)

    王雄; 罗霞; 陈林; 杜超; 李彦章

    2008-01-01

    Objective To test the rehability and validity of the ear driver behavior questionnaire (DBQ).Methods One hundred twenty ear drivers in Chengdu were investigated randomly by DBQ,and then factor analy-sis,reliability and validity tests were performed by SPSS15.0.Results ①Three factors were extracted,namely speeding & violation behavior,error and lapses,which explained 42.027% of the total variance. ②The three fac-tors' Cronbaeh α were 0.834,0.765 and 0.644 respectively,and they were significantly correlated with the total questionnaire(r=0.859 ,0.824,0.676,P<0.01).③Compared with safe driver,unsafe driver scored higher on total driving behaviors and speeding &violation behavior(P<0.05,P<0.01).Conclusion DBQ has good reliability and validity,and is an effective instrument to test drivers' behaviors.%目的 考察汽车驾驶员驾驶行为问卷的信度效度.方法 随机抽取成都120名小汽车驾驶员进行测试,进行因素分析和信效度的检验.结果 ①问卷抽取3个因素:错误行为、超速及违规行为和疏忽行为,可解释项目总方差的42.027%.②问卷各因素的Cmnbach α系数分别为0.834,0.765和0.644.各因素与总问卷之间的相关显著,分别为0.859,0.824和0.676(P<0.01).③与安全驾驶员相比,事故驾驶员在驾驶行为总分和超速及违规行为分上较高(P<0.05~0.01).结论 DBQ具有较好的信度和效度.是测试小汽车驾驶员驾驶行为的有效工具.

  1. Behavioral animal models of depression.

    Science.gov (United States)

    Yan, Hua-Cheng; Cao, Xiong; Das, Manas; Zhu, Xin-Hong; Gao, Tian-Ming

    2010-08-01

    Depression is a chronic, recurring and potentially life-threatening illness that affects up to 20% of the population across the world. Despite its prevalence and considerable impact on human, little is known about its pathogenesis. One of the major reasons is the restricted availability of validated animal models due to the absence of consensus on the pathology and etiology of depression. Besides, some core symptoms such as depressed mood, feeling of worthlessness, and recurring thoughts of death or suicide, are impossible to be modeled on laboratory animals. Currently, the criteria for identifying animal models of depression rely on either of the 2 principles: actions of known antidepressants and responses to stress. This review mainly focuses on the most widely used animal models of depression, including learned helplessness, chronic mild stress, and social defeat paradigms. Also, the behavioral tests for screening antidepressants, such as forced swimming test and tail suspension test, are also discussed. The advantages and major drawbacks of each model are evaluated. In prospective, new techniques that will be beneficial for developing novel animal models or detecting depression are discussed.

  2. Modeling software behavior a craftsman's approach

    CERN Document Server

    Jorgensen, Paul C

    2009-01-01

    A common problem with most texts on requirements specifications is that they emphasize structural models to the near exclusion of behavioral models-focusing on what the software is, rather than what it does. If they do cover behavioral models, the coverage is brief and usually focused on a single model. Modeling Software Behavior: A Craftsman's Approach provides detailed treatment of various models of software behavior that support early analysis, comprehension, and model-based testing. Based on the popular and continually evolving course on requirements specification models taught by the auth

  3. Modeling of direct beam extraction for a high-charge-state fusion driver

    Science.gov (United States)

    Anderson, O. A.; Grant Logan, B.

    A newly proposed type of multicharged ion source offers the possibility of an economically advantageous high-charge-state fusion driver. Multiphoton absorption in an intense uniform laser focus can give multiple charge states of high purity, simplifying or eliminating the need for charge-state separation downstream. Very large currents (hundreds of amperes) can be extracted from this type of source. Several arrangements are possible. For example, the laser plasma could be tailored for storage in a magnetic bucket, with beam extracted from the bucket. A different approach, described in this report, is direct beam extraction from the expanding laser plasma. We discuss extraction and focusing for the particular case of a 4.1 MV beam of Xe 16+ ions. The maximum duration of the beam pulse is limited by the total charge in the plasma, while the practical pulse length is determined by the range of plasma radii over which good beam optics can be achieved. The extraction electrode contains a solenoid for beam focusing. Our design studies were carried out first with an envelope code and then with a self-consistent particle code. Results from our initial model showed that hundreds of amperes could be extracted, but that most of this current missed the solenoid entrance or was intercepted by the wall and that only a few amperes were able to pass through. We conclude with an improved design which increases the surviving beam to more than 70 A.

  4. Modelling management process of key drivers for economic sustainability in the modern conditions of economic development

    Directory of Open Access Journals (Sweden)

    Pishchulina E.S.

    2017-01-01

    Full Text Available The text is about issues concerning the management of driver for manufacturing enterprise economic sustainability and manufacturing enterprise sustainability assessment as the key aspect of the management of enterprise economic sustainability. The given issues become topical as new requirements for the methods of manufacturing enterprise management in the modern conditions of market economy occur. An economic sustainability model that is considered in the article is an integration of enterprise economic growth, economic balance of external and internal environment and economic sustainability. The method of assessment of economic sustainability of a manufacturing enterprise proposed in the study allows to reveal some weaknesses in the enterprise performance, and untapped reserves, which can be further used to improve the economic sustainability and efficiency of the enterprise. The management of manufacturing enterprise economic sustainability is one of the most important factors of business functioning and development in modern market economy. The relevance of this trend is increasing in accordance with the objective requirements of the growing volumes of production and sale, the increasing complexity of economic relations, changing external environment of an enterprise.

  5. Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate

    Science.gov (United States)

    Juul, Malene; Bertl, Johanna; Guo, Qianyun; Nielsen, Morten Muhlig; Świtnicki, Michał; Hornshøj, Henrik; Madsen, Tobias; Hobolth, Asger; Pedersen, Jakob Skou

    2017-01-01

    Non-coding mutations may drive cancer development. Statistical detection of non-coding driver regions is challenged by a varying mutation rate and uncertainty of functional impact. Here, we develop a statistically founded non-coding driver-detection method, ncdDetect, which includes sample-specific mutational signatures, long-range mutation rate variation, and position-specific impact measures. Using ncdDetect, we screened non-coding regulatory regions of protein-coding genes across a pan-cancer set of whole-genomes (n = 505), which top-ranked known drivers and identified new candidates. For individual candidates, presence of non-coding mutations associates with altered expression or decreased patient survival across an independent pan-cancer sample set (n = 5454). This includes an antigen-presenting gene (CD1A), where 5’UTR mutations correlate significantly with decreased survival in melanoma. Additionally, mutations in a base-excision-repair gene (SMUG1) correlate with a C-to-T mutational-signature. Overall, we find that a rich model of mutational heterogeneity facilitates non-coding driver identification and integrative analysis points to candidates of potential clinical relevance. DOI: http://dx.doi.org/10.7554/eLife.21778.001 PMID:28362259

  6. Nonlinear System Identification and Behavioral Modeling

    CERN Document Server

    Huq, Kazi Mohammed Saidul; Kabir, A F M Sultanul

    2010-01-01

    The problem of determining a mathematical model for an unknown system by observing its input-output data pair is generally referred to as system identification. A behavioral model reproduces the required behavior of the original analyzed system, such as there is a one-to-one correspondence between the behavior of the original system and the simulated system. This paper presents nonlinear system identification and behavioral modeling using a work assignment.

  7. A new conceptual model of coral biomineralisation: hypoxia as the physiological driver of skeletal extension

    Directory of Open Access Journals (Sweden)

    S. A. Wooldridge

    2012-09-01

    Full Text Available That corals skeletons are built of aragonite crystals with taxonomy-linked ultrastructure has been well understood since the 19th century. Yet, the way by which corals control this crystallization process remains an unsolved question. Here, I outline a new conceptual model of coral biominerationsation that endeavours to relate known skeletal features with homeostatic functions beyond traditional growth (structural determinants. In particular, I propose that the dominant physiological driver of skeletal extension is night-time hypoxia, which is exacerbated by the respiratory oxygen demands of the coral's algal symbionts (= zooxanthellae. The model thus provides a new narrative to explain the high growth rate of symbiotic corals, by equating skeletal deposition with the "work-rate" of the coral host needed to maintain a stable and beneficial symbiosis. In this way, coral skeletons are interpreted as a continuous (long-run recording unit of the stability and functioning of the coral-algae endosymbiosis. After providing supportive evidence for the model across multiple scales of observation, I use coral core data from the Great Barrier Reef (Australia to highlight the disturbed nature of the symbiosis in recent decades, but suggest that its onset is consistent with a trajectory that has been followed since at least the start of the 1900's. In concluding, I explain how the evolved capacity of the cnidarians (which now includes modern reef corals to overcome the metabolic limitation of hypoxia via skeletogenesis, may underpin the sudden appearance in the fossil record of calcified skeletons at the Precambrian-Cambrian transition – and the ensuing rapid appearance of most major animal phyla.

  8. A new conceptual model of coral biomineralisation: hypoxia as the physiological driver of skeletal extension

    Directory of Open Access Journals (Sweden)

    S. Wooldridge

    2013-05-01

    Full Text Available That corals skeletons are built of aragonite crystals with taxonomy-linked ultrastructure has been well understood since the 19th century. Yet, the way by which corals control this crystallization process remains an unsolved question. Here, I outline a new conceptual model of coral biomineralisation that endeavours to relate known skeletal features with homeostatic functions beyond traditional growth (structural determinants. In particular, I propose that the dominant physiological driver of skeletal extension is night-time hypoxia, which is exacerbated by the respiratory oxygen demands of the coral's algal symbionts (= zooxanthellae. The model thus provides a new narrative to explain the high growth rate of symbiotic corals, by equating skeletal deposition with the "work-rate" of the coral host needed to maintain a stable and beneficial symbiosis. In this way, coral skeletons are interpreted as a continuous (long-run recording unit of the stability and functioning of the coral–algae endosymbiosis. After providing supportive evidence for the model across multiple scales of observation, I use coral core data from the Great Barrier Reef (Australia to highlight the disturbed nature of the symbiosis in recent decades, but suggest that its onset is consistent with a trajectory that has been followed since at least the start of the 1900s. In concluding, I outline how the proposed capacity of cnidarians (which includes modern reef corals to overcome the metabolic limitation of hypoxia via skeletogenesis also provides a new hypothesis to explain the sudden appearance in the fossil record of calcified skeletons at the Precambrian–Cambrian transition – and the ensuing rapid appearance of most major animal phyla.

  9. A new conceptual model of coral biomineralisation: hypoxia as the physiological driver of skeletal extension

    Science.gov (United States)

    Wooldridge, S.

    2013-05-01

    That corals skeletons are built of aragonite crystals with taxonomy-linked ultrastructure has been well understood since the 19th century. Yet, the way by which corals control this crystallization process remains an unsolved question. Here, I outline a new conceptual model of coral biomineralisation that endeavours to relate known skeletal features with homeostatic functions beyond traditional growth (structural) determinants. In particular, I propose that the dominant physiological driver of skeletal extension is night-time hypoxia, which is exacerbated by the respiratory oxygen demands of the coral's algal symbionts (= zooxanthellae). The model thus provides a new narrative to explain the high growth rate of symbiotic corals, by equating skeletal deposition with the "work-rate" of the coral host needed to maintain a stable and beneficial symbiosis. In this way, coral skeletons are interpreted as a continuous (long-run) recording unit of the stability and functioning of the coral-algae endosymbiosis. After providing supportive evidence for the model across multiple scales of observation, I use coral core data from the Great Barrier Reef (Australia) to highlight the disturbed nature of the symbiosis in recent decades, but suggest that its onset is consistent with a trajectory that has been followed since at least the start of the 1900s. In concluding, I outline how the proposed capacity of cnidarians (which includes modern reef corals) to overcome the metabolic limitation of hypoxia via skeletogenesis also provides a new hypothesis to explain the sudden appearance in the fossil record of calcified skeletons at the Precambrian-Cambrian transition - and the ensuing rapid appearance of most major animal phyla.

  10. Understanding the role of the OneLove campaign in facilitating drivers of social and behavioral change in southern Africa: a qualitative evaluation.

    Science.gov (United States)

    Jana, Michael; Letsela, Lebohang; Scheepers, Esca; Weiner, Renay

    2015-01-01

    In the wake of the HIV and AIDS pandemic, health communication has played an important role in social and behavior change in HIV prevention and treatment efforts. Despite this significant role, it is not always clear how health communication influences individuals and communities to facilitate social and behavior change. Guided predominantly by Lewin's theory of change in the context of complexity thinking, and supported by qualitative evidence from Soul City Institute's midterm evaluation of the OneLove multimedia campaign in 9 southern African countries, this article illustrates how carefully designed health edutainment communication materials facilitate drivers of social and behavior change. Thus, researched and theory-based health communication aimed at behavior and social change remains an important pillar in HIV prevention and treatment, where personal and social agency remain key.

  11. 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...... 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 well as to test for heterogeneity across the population, namely whether the sub-groups of drivers differed in characteristics such as age, gender...

  12. 上海市出租车司机饮食行为现状调查%Analysis on dietary behaviors among taxi drivers in Shanghai City

    Institute of Scientific and Technical Information of China (English)

    宋峻; 赖建强; 邹淑蓉; 段一凡; 黄翠花; 朱珍妮; 施爱珍; 姜培珍; 汪正园

    2012-01-01

    Objective To understand the dietary behaviors and practices characteristic among taxi drivers in Shanghai, and provide evidence for health policy making. Methods By using the method of random intercept, 1018 taxi drivers were randomly sampled from taxi parking in Shanghai Hongqiao Airport and a questionnaire survey was conducted. Results 98.4% of taxi drivers ate outside and 44. 6% of them had meals outside 3 times per day. 96. 6% of taxi drivers who took breakfast had inadequate breakfast nutrition. The proportion of adequate nutritional breakfast was only 0. 9%. The proportions of taxi drivers without breakfast, lunch or dinner were 3. 0% , 2. 0% and 2.4% , respectively. Dietary structure of lunch and dinner among taxi drivers were " grain + meat + vegetables" when they worked outside. The reasons for choosing eatery were sanitary and amount, few of them considered about nutrition. Only 4% of them thought over nutrition, and the proportion of urban drivers who considered about nutrition was higher than that of rural drivers. Conclusion Eating disorders, unreasonable distribution of meals and dietary structures still exist in taxi drivers. The health education on nutrition should be enhanced among taxi drivers to reduce the incidences of obesity and overweight and prevent chronic diseases like hypertension.%目的 了解出租车司机饮食行为和膳食结构的特点,为相关部门制定健康教育策略提供依据.方法 以随机拦截的方法,对上海虹桥机场蓄车池中的1018名出租车司机进行问卷调查.结果 出租车司机每日在外就餐以及1日3餐均在外就餐的比例分别为98.4%和44.6%;吃早餐的司机中96.6%的司机的早餐营养不充足,仅0.9%的司机早餐营养充足;司机中不吃早餐、午餐和晚餐的比例分别为3.0%、2.0%和2.4%;司机工作在外时,午餐和晚餐主要是“主食+荤菜+素菜”的膳食构成模式,较少选择水果;司机选择午餐和晚餐的就

  13. Modeling lahar behavior and hazards

    Science.gov (United States)

    Manville, Vernon; Major, Jon J.; Fagents, Sarah A.

    2013-01-01

    Lahars are highly mobile mixtures of water and sediment of volcanic origin that are capable of traveling tens to > 100 km at speeds exceeding tens of km hr-1. Such flows are among the most serious ground-based hazards at many volcanoes because of their sudden onset, rapid advance rates, long runout distances, high energy, ability to transport large volumes of material, and tendency to flow along existing river channels where populations and infrastructure are commonly concentrated. They can grow in volume and peak discharge through erosion and incorporation of external sediment and/or water, inundate broad areas, and leave deposits many meters thick. Furthermore, lahars can recur for many years to decades after an initial volcanic eruption, as fresh pyroclastic material is eroded and redeposited during rainfall events, resulting in a spatially and temporally evolving hazard. Improving understanding of the behavior of these complex, gravitationally driven, multi-phase flows is key to mitigating the threat to communities at lahar-prone volcanoes. However, their complexity and evolving nature pose significant challenges to developing the models of flow behavior required for delineating their hazards and hazard zones.

  14. A Study of Bending Mode Algorithm of Adaptive Front-Lighting System Based on Driver Preview Behavior

    Directory of Open Access Journals (Sweden)

    Zhenhai Gao

    2014-01-01

    Full Text Available The function of adaptive front-lighting system is to improve the lighting condition of the road ahead and driving safety at night. The current system seldom considers characteristics of the driver’s preview behavior and eye movement. To solve this problem, an AFS algorithm modeling a driver’s preview behavior was proposed. According to the vehicle’s state, the driver’s manipulating input, and the vehicle’s future state change which resulted from the driver’s input, a dynamic predictive algorithm of the vehicle’s future track was established based on an optimal preview acceleration model. Then, an experiment on the change rule of the driver’s preview distance with different speeds and different road curvatures was implemented with the eye tracker and the calibration method of the driver’s preview time was established. On the basis of these above theories and experiments, the preview time was introduced to help predict the vehicle’s future track and an AFS algorithm modeling the driver’s preview behavior was built. Finally, a simulation analysis of the AFS algorithm was carried out. By analyzing the change process of the headlamp’s lighting region while bend turning which was controlled by the algorithm, its control effect was verified to be precise.

  15. Stabilization strategies of a general nonlinear car-following model with varying reaction-time delay of the drivers.

    Science.gov (United States)

    Li, Shukai; Yang, Lixing; Gao, Ziyou; Li, Keping

    2014-11-01

    In this paper, the stabilization strategies of a general nonlinear car-following model with reaction-time delay of the drivers are investigated. The reaction-time delay of the driver is time varying and bounded. By using the Lyapunov stability theory, the sufficient condition for the existence of the state feedback control strategy for the stability of the car-following model is given in the form of linear matrix inequality, under which the traffic jam can be well suppressed with respect to the varying reaction-time delay. Moreover, by considering the external disturbance for the running cars, the robust state feedback control strategy is designed, which ensures robust stability and a smaller prescribed H∞ disturbance attenuation level for the traffic flow. Numerical examples are given to illustrate the effectiveness of the proposed methods.

  16. Time-dependent Ginzburg-Landau equation in a car-following model considering the driver's physical delay

    Science.gov (United States)

    Ge, Hong-xia; Meng, Xiang-pei; Cheng, Rong-jun; Lo, Siu-Ming

    2011-10-01

    In this paper, an extended car-following model considering the delay of the driver's response in sensing headway is proposed to describe the traffic jam. It is shown that the stability region decreases when the driver's physical delay in sensing headway increases. The phase transition among the freely moving phase, the coexisting phase, and the uniformly congested phase occurs below the critical point. By applying the reductive perturbation method, we get the time-dependent Ginzburg-Landau (TDGL) equation from the car-following model to describe the transition and critical phenomenon in traffic flow. We show the connection between the TDGL equation and the mKdV equation describing the traffic jam.

  17. Learning online community citizenship behavior: a socio-cognitive model.

    Science.gov (United States)

    Joe, Sheng-Wuu; Lin, Chieh-Peng

    2008-06-01

    This study postulates personal and environmental factors as key drivers of online community citizenship behavior (OCCB). OCCB reveals that the individual chooses to perform a behavior that is beneficial to others. Empirical results confirm the applicability of social cognitive theory (SCT) in online communities.

  18. A Comprehensive Model of Customers’ Complaint Behavior

    Directory of Open Access Journals (Sweden)

    Masoud Mousavi

    2013-05-01

    Full Text Available The purpose of this article is to determine the factors influencing the complaint behavior of service customers and suggested a model that gives a dynamic view of customer’s complaint behavior. The conceptual model supported by study and research done in the context of complaint behavior analysis. In addition, numerous science researches in different industries (services and products supported the model. Research findings show that the complaint behavior of customers is a very complex behavior of customer dissatisfaction. Many factors determine the type and severity of complaints and these factors can be classified into four factors such as personal (individual factors, service factors, situational factors and macro element. Different Kinds of people’s coping strategies is an effective factor in the selection of complaint behavior type. Analyzing and identifying different factors that cause the complaint behavior is important for different types of services. This model is a comprehensive one in complaint behavior that identifies important factors.

  19. Unification and mechanistic detail as drivers of model construction: models of networks in economics and sociology.

    Science.gov (United States)

    Kuorikoski, Jaakko; Marchionni, Caterina

    2014-12-01

    We examine the diversity of strategies of modelling networks in (micro) economics and (analytical) sociology. Field-specific conceptions of what explaining (with) networks amounts to or systematic preference for certain kinds of explanatory factors are not sufficient to account for differences in modelling methodologies. We argue that network models in both sociology and economics are abstract models of network mechanisms and that differences in their modelling strategies derive to a large extent from field-specific conceptions of the way in which a good model should be a general one. Whereas the economics models aim at unification, the sociological models aim at a set of mechanism schemas that are extrapolatable to the extent that the underlying psychological mechanisms are general. These conceptions of generality induce specific biases in mechanistic explanation and are related to different views of when knowledge from different fields should be seen as relevant.

  20. Analysis of drivers' characteristics in car-following theory

    Science.gov (United States)

    Zhang, Geng; Sun, Di-Hua; Liu, Hui; Zhao, Min

    2014-09-01

    In recent years, the influence of drivers' behaviors on traffic flow has attracted considerable attention according to Transportation Cyber Physical Systems. In this paper, an extended car-following model is presented by considering drivers' timid or aggressive characteristics. The impact of drivers' timid or aggressive characteristics on the stability of traffic flow has been analyzed through linear stability theory and nonlinear reductive perturbation method. Numerical simulation shows that the propagating behavior of traffic density waves near the critical point can be described by the kink-antikink soliton of the mKdV equation. The good agreement between the numerical simulation and the analytical results shows that drivers' characteristics play an important role in traffic jamming transition.

  1. 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

    from the key role of proactive and state-aware road users within the concept of sustainable safety systems, as well as from the key role of effective corrective maneuvers in the success of automated in-vehicle warning and driver assistance systems. Methods: The analysis is conducted by means of a mixed...... the propensity to perform crash avoidance maneuvers, and (5) visual obstruction and artificial illumination decrease the probability to carry out crash avoidance maneuvers. Conclusions: The results emphasize the need for public awareness campaigns to promote safe driving style for senior drivers and warning...

  2. Driver's Trajectory Tracking Model in Curves of Two-Lane Highway%双车道公路弯道驾驶轨迹跟踪模型

    Institute of Scientific and Technical Information of China (English)

    王婉秋; 钱宇彬; 林雨

    2014-01-01

    Considering the complexity of horizontal alignment in curves,and the uncertainty of steering behavior resulting from drivers'fuzzy perception and subjective tendency,the control factors of steering behavior were introduced by analyzing drivers' driving characteristics which are influenced by road alignments ahead. The multi-objective fuzzy optimization decision theory was used to study the influence of fuzziness and subjectivity on steering behavior. Then a mathematical method for modeling driver's trajectory tracking behavior was established using the weight determination method that is based on the gray theory and combines subjectivity with objectivity together. In addition,field experiments in five curves were carried out,and the modeling method was verified to be feasible by comparison of experimental and simulation values in trajectory curves. The results show that the length of trajectory, lateral force coefficient,trajectory's lateral offset are control factors of trajectory tracking behavior;and driver's subjective characteristics in fuzzy optimal decision making trajectory tracking behavior can be reflected by the weight determination method combing subjectivity and objectivity.%针对双车道公路弯道轨迹跟踪行为的瞬时多变性,及驾驶人模糊感知与主观决策能力导致的不确定性,通过分析驾驶人在前方弯道线形影响下的驾驶特性,引入转向驾驶行为控制因素,运用多目标模糊优选决策理论,研究了模糊性和主观性对轨迹跟踪行为的影响规律;基于灰色理论,利用主观与客观相结合的权重确定方法,建立了轨迹跟踪模型。选择5处曲线路段进行实地试验,通过试验结果与仿真结果的对比,验证了本文模型的有效性。研究结果表明:行驶轨迹弧长、横向力系数和轨迹侧向偏移是轨迹跟踪行为的控制因素;综合考虑主观与客观因素的权重确定方法,体现了驾驶人在模糊优选

  3. Experimental Study of Drivers' Overtaking Behavior on Two-lane Highways%双车道公路驾驶员超车行为试验研究

    Institute of Scientific and Technical Information of China (English)

    刘江

    2013-01-01

    By high-accuracy GPS dynamic data acquisition instrument,the author designed the experimental plan of drivers' overtaking on the two-lane highways with the drivers' perceive to measure the overtakable gap and the returnable gap.The experimental results could be used as the basis for the study of two-lane highways' capacity,drivers' overtaking behavior,the design of overtaking sight distance and intelligent transportation system.%通过利用高精度全球定位系统(global positioning system,GPS)动态数据采集仪,结合驾驶员超车过程的感受度,设计了双车道公路上测量可回车车头时距和可超车车头时距的试验方案,获得的实验数据可为研究双车道公路通行能力、驾驶员超车行为、设计超车视距以及构建智能交通系统提供实测数据依据.

  4. Proactive driver training program

    Energy Technology Data Exchange (ETDEWEB)

    Vossler, W. [Kinetic Safety Consulting Inc., Grande Prairie, AB (Canada)

    2005-07-01

    Skid avoidance training is a recent approach to driver training and has been employed in various countries with a high degree of success. Among top ranked countries, motor vehicle incidents trends indicate higher incident rates among drivers are often due to lack of knowledge, experience and risk awareness. If lowered age limit experience is attained under direct supervision and in safe training conditions, it was suggested, incident frequency is reduced. A Norway study confirmed an increase in vehicle incident rates after drivers had received skid control training. The drivers were unable to maintain skill levels needed to react to critical driving tasks and had unrealistic expectations of skill after training. However, a skid avoidance training program launched in Sweden in 1999 has resulted in a 50 per cent reduction of vehicle incidents in the last 2 years. Details of the Skidcar System were presented, including details of the driving simulator, where simulation of actual driving situations is achieved by simply adjusting the amount of grip the vehicle has with the driving surface. Instructors modify driving behaviors based upon the driver's ability to maintain grip. There are over 200 units in North America. In addition, a Proactive Light Vehicle Driver Training/ Heavy Vehicle Assessment Program was initiated in 2003, with a motor vehicle incident rate reduction of 50 per cent at the end of 2004. Various examples of situations in which drivers have used their skid avoidance skills to avoid incidents were included. It was noted that the trend among driver training professionals has been towards decision-based rather than skills-based training, as skills-based training will diminish over time, and requires frequent re-training periods. Cognitive and perceptual skills were examined, as well as cognitive, associative and autonomous learning phases. It was concluded that skid avoidance is largely a decision-based skill. tabs, figs.

  5. Older Drivers

    Science.gov (United States)

    ... in this topic was provided by the National Highway Traffic Safety Administration Topic last reviewed: March 2015 For ... see Traffic Safety Facts 2012: Older Population. (National Highway Traffic Safety Administration). Crashes Down Among Older Drivers Fortunately, ...

  6. Predicting Driver Behavior Using Field Experiment Data and Driving Simulator Experiment Data: Assessing Impact of Elimination of Stop Regulation at Railway Crossings

    Directory of Open Access Journals (Sweden)

    Toshihisa Sato

    2013-01-01

    Full Text Available We investigated the impact of deregulating the presence of stop signs at railway crossings on car driver behavior. We estimated the probability that a driver would stop inside the crossing, thereby obstructing the tracks, when a lead vehicle suddenly stopped after the crossing and a stop regulation was eliminated. We proposed a new assessment method of the driving behavior as follows: first, collecting driving behavior data in a driving simulator and in a real road environment; then, predicting the probability based on the collected data. In the simulator experiment, we measured the distances between a lead vehicle and the driver’s vehicle and the driver’s response time to the deceleration of the leading vehicle when entering the railway crossing. We investigated the influence of the presence of two leading vehicles on the driver’s vehicle movements. The deceleration data were recorded in the field experiments. Slower driving speed led to a higher probability of stopping inside the railway crossing. The probability was higher when the vehicle in front of the leading vehicle did not slow down than when both the lead vehicle and the vehicle in front of it slowed down. Finally, advantages of our new assessment method were discussed.

  7. Analysis of Driver's Route Choice Behavior in Traffic Flow%驾驶员路线选择行为分析

    Institute of Scientific and Technical Information of China (English)

    况漠

    2003-01-01

    研究驾驶员的路线选择行为有助于提高既有道路网络(特别是城市交通网络)的利用率,从而改善交通状况.本文从宏观角度分析存在实时交通信息条件下驾驶员路线选择行为的时间演化特征,认为路线选择行为具有随机不确定性,在设计交通诱导系统或交通信息系统时,必须考虑扰动因素影响,才能保证系统有效实现均衡的交通流动态分配.%This paper, from the point of macroscopic view, discusses the time evolution pattern of driver's route choice behavior with the influence of dynamic traffic information upon the pattern.The study aims to provide theoretical support for the evaluation of long-term result of traffic information system, the forecasting of driver's route choice behavior and the study of influence on route choice behavior through controlling and changing traffic information.

  8. Stability Analysis of Transportation Networks with Multiscale Driver Decisions

    CERN Document Server

    Como, Giacomo; Acemoglu, Daron; Dahleh, Munther A; Frazzoli, Emilio

    2011-01-01

    Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drivers' route choices are influenced by information at multiple temporal and spatial scales. The considered model involves a continuum of indistinguishable drivers commuting between a common origin/destination pair in an acyclic transportation network. The drivers' route choices are affected by their, relatively infrequent, perturbed best responses to global information about the current network congestion levels, as well as their instantaneous local observation of the immediate surroundings as they transit through the network. A novel model is proposed for the drivers' route choice behavior, exhibiting local consistency with their preference toward globally less congested paths as well as myopic decisions in favor of locally less congested paths. The simultaneous evolution of the traffic congestion on the network and of the aggregate path preference is modeled by a system of coupled ordinary differential equations...

  9. Therapeutics Targeting Drivers of Thoracic Aortic Aneurysms and Acute Aortic Dissections: Insights from Predisposing Genes and Mouse Models.

    Science.gov (United States)

    Milewicz, Dianna M; Prakash, Siddharth K; Ramirez, Francesco

    2017-01-14

    Thoracic aortic diseases, including aneurysms and dissections of the thoracic aorta, are a major cause of morbidity and mortality. Risk factors for thoracic aortic disease include increased hemodynamic forces on the ascending aorta, typically due to poorly controlled hypertension, and heritable genetic variants. The altered genes predisposing to thoracic aortic disease either disrupt smooth muscle cell (SMC) contraction or adherence to an impaired extracellular matrix, or decrease canonical transforming growth factor beta (TGF-β) signaling. Paradoxically, TGF-β hyperactivity has been postulated to be the primary driver for the disease. More recently, it has been proposed that the response of aortic SMCs to the hemodynamic load on a structurally defective aorta is the primary driver of thoracic aortic disease, and that TGF-β overactivity in diseased aortas is a secondary, unproductive response to restore tissue function. The engineering of mouse models of inherited aortopathies has identified potential therapeutic agents to prevent thoracic aortic disease.

  10. Evaluation of Massey Ferguson Model 165 Tractor Drivers exposed to whole-body vibration

    Directory of Open Access Journals (Sweden)

    P. Nassiri

    2013-12-01

    Conclusion: This study shows that the need to provide intervention , controlling and managing measures to eliminate or reduce exposure to whole body vibration among tractor drivers its necessary. And, preventing main disorder Including musculoskeletal disorders, discomfort and early fatigue is of circular importance. More studies are also necessary to identify the sources of vibration among various of tractors.

  11. Modeling Key Drivers of E-Learning Satisfaction among Student Teachers

    Science.gov (United States)

    Teo, Timothy; Wong, Su Luan

    2013-01-01

    This study explored the key drivers of student teachers' e-learning satisfaction. Three hundred and eighty-seven participants completed a survey questionnaire measuring their self-reported responses to six constructs (tutor quality, perceived usefulness, perceived ease of use, course delivery, facilitating conditions, and course satisfaction).…

  12. The modeling of transfer of steering between automated vehicle and human driver using hybrid control framework

    NARCIS (Netherlands)

    Kaustubh, M.; Willemsen, D.M.C.; Mazo, M.

    2016-01-01

    Proponents of autonomous driving pursue driverless technologies, whereas others foresee a gradual transition where there will be automated driving systems that share the control of the vehicle with the driver. With such advances it becomes pertinent that the developed automated systems need to be sa

  13. Research Models in Developmental Behavioral Toxicology.

    Science.gov (United States)

    Dietrich, Kim N.; Pearson, Douglas T.

    Developmental models currently used by child behavioral toxicologists and teratologists are inadequate to address current issues in these fields. Both child behavioral teratology and toxicology scientifically study the impact of exposure to toxic agents on behavior development: teratology focuses on prenatal exposure and postnatal behavior…

  14. Speed enforcement in Norway: Testing a game-theoretic model of the interaction between drivers and the police.

    Science.gov (United States)

    Elvik, Rune

    2015-11-01

    This paper probes the relationship between changes in the risk of apprehension for speeding in Norway and changes in the amount of speeding. The paper is based on a game-theoretic model of how the rate of violations and the amount of enforcement is determined by the interaction between drivers and the police. This model makes predictions both about how drivers will adapt to changes in the amount of enforcement (the more enforcement, the less violations) as well as how the police will adapt to changes in the rate of violations (the less violations, the less enforcement). The paper attempts to test the game-theoretic model empirically. Testing the model rigorously is difficult, mainly because some of the relevant variables are not reliably measured and are endogenous. Two models were developed: one to identify sources of changes in the rate of violations, one to identify sources of changes in the amount of enforcement. The predictions of the game-theoretic model were supported, although the results were not statistically significant in the model of how the police adapt enforcement to changes in the rate of violations.

  15. Yield-Ensuring DAC-Embedded Opamp Design Based on Accurate Behavioral Model Development

    Science.gov (United States)

    Jang, Yeong-Shin; Nguyen, Hoai-Nam; Ryu, Seung-Tak; Lee, Sang-Gug

    An accurate behavioral model of a DAC-embedded opamp (DAC-opamp) is developed for a yield-ensuring LCD column driver design. A lookup table for the V-I curve of the unit differential pair in the DAC-opamp is extracted from a circuit simulation and is later manipulated through a random error insertion. Virtual ground assumption simplifies the output voltage estimation algorithm. The developed behavioral model of a 5-bit DAC-opamp shows good agreement with the circuit level simulation with less than 5% INL difference.

  16. Seemingly irrational driving behavior model: The effect of habit strength and anticipated affective reactions.

    Science.gov (United States)

    Chung, Yi-Shih

    2015-09-01

    An increasing amount of evidence suggests that aberrant driving behaviors are not entirely rational. On the basis of the dual-process theory, this study postulates that drivers may learn to perform irrational aberrant driving behaviors, and these behaviors could be derived either from a deliberate or an intuitive decision-making approach. Accordingly, a seemingly irrational driving behavior model is proposed; in this model, the theory of planned behavior (TPB) was adopted to represent the deliberate decision-making mechanism, and habit strength was incorporated to reflect the intuitive decision process. A multiple trivariate mediation structure was designed to reflect the process through which driving behaviors are learned. Anticipated affective reactions (AARs) were further included to examine the effect of affect on aberrant driving behaviors. Considering the example of speeding behaviors, this study developed scales and conducted a two-wave survey of students in two departments at a university in Northern Taiwan. The analysis results show that habit strength consists of multiple aspects, and frequency of past behavior cannot be a complete repository for accumulating habit strength. Habit strength appeared to be a crucial mediator between intention antecedents (e.g., attitude) and the intention itself. Including habit strength in the TPB model enhanced the explained variance of speeding intention by 26.7%. In addition, AARs were different from attitudes; particularly, young drivers tended to perform speeding behaviors to reduce negative feelings such as regret. The proposed model provides an effective alternative approach for investigating aberrant driving behaviors; corresponding countermeasures are discussed. Copyright © 2015 Elsevier Ltd. All rights reserved.

  17. Modelling Spatial Patterns and Drivers of Wildfires in Honduras Using Remote Sensing and Geographic Information Systems

    Science.gov (United States)

    Valdez Vasquez, M. C.; Chen, C. F.; Chiang, S. H.

    2016-12-01

    Forests in Honduras are one of the most important resources as they provide a wide range of environmental, economic, and social benefits. However, they are endangered as a result of the relentless occurrence of wildfires during the dry season. Despite the knowledge acquired by the population concerning the effects of wildfires, the frequency is increasing, a pattern attributable to the numerous ignition sources linked to human activity. The purpose of this study is to integrate the wildfire occurrences throughout the 2010-2015 period with a series of anthropogenic and non-anthropogenic variables using the random forest algorithm (RF). We use a series of variables that represent the anthropogenic activity, the flammability of vegetation, climatic conditions, and topography. To represent the anthropogenic activity, we included the continuous distances to rivers, roads, and settlements. To characterize the vegetation flammability, we used the normalized difference vegetation index (NDVI) and the normalized multi-band drought index (NMDI) acquired from MODIS surface reflectance data. Additionally, we included the topographical variables elevation, slope, and solar radiation derived from the ASTER global digital elevation model (GDEM V2). To represent the climatic conditions, we employed the land surface temperature (LST) product from the MODIS sensor and the WorldClim precipitation data. We analyzed the explanatory variables through native RF variable importance analysis and jackknife test, and the results revealed that the dry fuel conditions and low precipitation combined with the proximity to non-paved roads were the major drivers of wildfires. Furthermore, we predicted the areas with highest wildfire susceptibility, which are located mainly in the central and eastern regions of the country, within coniferous and mixed forests. Results acquired were validated using the area under the receiver operating characteristic (ROC) curve and the point biserial correlation

  18. 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.

  19. Functional Behavioral Assessment: A School Based Model.

    Science.gov (United States)

    Asmus, Jennifer M.; Vollmer, Timothy R.; Borrero, John C.

    2002-01-01

    This article begins by discussing requirements for functional behavioral assessment under the Individuals with Disabilities Education Act and then describes a comprehensive model for the application of behavior analysis in the schools. The model includes descriptive assessment, functional analysis, and intervention and involves the participation…

  20. Modeling Architectural Patterns' Behavior Using Architectural Primitives

    NARCIS (Netherlands)

    Kamal, Ahmad Waqas; Avgeriou, Paris; Morrison, R; Balasubramaniam, D; Falkner, K

    2008-01-01

    Architectural patterns have an impact on both the structure and the behavior of a system at the architecture design level. However, it is challenging to model patterns' behavior in a systematic way because modeling languages do not provide the appropriate abstractions and because each pattern

  1. Modeling Architectural Patterns’ Behavior Using Architectural Primitives

    NARCIS (Netherlands)

    Waqas Kamal, Ahmad; Avgeriou, Paris

    2008-01-01

    Architectural patterns have an impact on both the structure and the behavior of a system at the architecture design level. However, it is challenging to model patterns’ behavior in a systematic way because modeling languages do not provide the appropriate abstractions and because each pattern

  2. Multi-scale Drivers of Variations in Atmospheric Evaporative Demand Based on Observations and Physically-based Modeling

    Science.gov (United States)

    Peng, L.; Sheffield, J.; Li, D.

    2015-12-01

    Evapotranspiration (ET) is a key link between the availability of water resources and climate change and climate variability. Variability of ET has important environmental and socioeconomic implications for managing hydrological hazards, food and energy production. Although there have been many observational and modeling studies of ET, how ET has varied and the drivers of the variations at different temporal scales remain elusive. Much of the uncertainty comes from the atmospheric evaporative demand (AED), which is the combined effect of radiative and aerodynamic controls. The inconsistencies among modeled AED estimates and the limited observational data may originate from multiple sources including the limited time span and uncertainties in the data. To fully investigate and untangle the intertwined drivers of AED, we present a spectrum analysis to identify key controls of AED across multiple temporal scales. We use long-term records of observed pan evaporation for 1961-2006 from 317 weather stations across China and physically-based model estimates of potential evapotranspiration (PET). The model estimates are based on surface meteorology and radiation derived from reanalysis, satellite retrievals and station data. Our analyses show that temperature plays a dominant role in regulating variability of AED at the inter-annual scale. At the monthly and seasonal scales, the primary control of AED shifts from radiation in humid regions to humidity in dry regions. Unlike many studies focusing on the spatial pattern of ET drivers based on a traditional supply and demand framework, this study underlines the importance of temporal scales when discussing controls of ET variations.

  3. Capacity of high-resolution data and modelling techniques to predict drivers and distributions of vulnerable deep-sea ecosystems

    DEFF Research Database (Denmark)

    Mohn, Christian; Rengstorf, Anna; Brown, Colin;

    , facilitating species distribution modelling with high spatial detail. In this study, we used high resolution data (250 m grid size) from a newly developed hydrodynamic model to explore linkages between key physical drivers and occurrences of the cold-water coral Lophelia pertusa in selected areas of the NE...... Atlantic. Further, these model data were combined with high resolution terrain attributes and video transect derived species distribution data to test the capacity of multi-parameter high-resolution data for improving the predictive skill of species distribution models using Lophelia pertusa as a case...... study. The study shows that predictive models incorporating hydrodynamic variables perform significantly better than models based on terrain parameters only. They are a potentially powerful tool to improve our understanding of deep-sea ecosystem functioning and to provide decision support for marine...

  4. FORMALIZATION OF LOCOMOTIVE DRIVER ACTIVITY TENSION INDICATOR BASED ON THE ERGONOMIC MODEL

    Directory of Open Access Journals (Sweden)

    O. M. Horobchenko

    2017-02-01

    Full Text Available Purpose. A key factor contributing to the safety and quality of ergatic system "train-driver" is the intensity of the locomotive crew’s work. The aim of this work is formalization of locomotive driver activity tension indicator. Methodology. One of the characteristics of driver activity tension is the difference between the time allotted to complete the task, and the necessary (external reserve or deficiency time. The sets of major and minor operations in the management of the train locomotive in different train situations were identified. Using the methods of fuzzy logic, the concept of "materiality of the operation of the locomotive control" is presented in the form of a set of linguistic variables. To determine the function membership of the elements of the set "the importance of the operation of the locomotive control" the method of expert evaluations was used. Coefficient of temporary tension is presented in the form of fuzzy number L-R-type. Findings. It was found the value of the relative number of operations of locomotive control according to the distribution using the parameter of operation "importance". To determine the most tensioned mode of the driver ranking the traffic condition according to the parameter of relative amounts of the important management operations was conducted. The most difficult modes are the "front hindrance", "movement in unfavorable weather conditions" and "departure from the station to the running line". Originality. The introduction of the value "conventional importance of the operation" allowed us to more accurately describe the terms of train driving. For the first time the work presents determination of tension of the driver’s work in the form of a unimodal fuzzy number, which will make it possible to use the methods of the theory of artificial intelligence to simulate activity of the locomotive driver and develop intelligent control systems. Practical value. There were obtained the opportunity to

  5. Multiaxial behavior of foams - Experiments and modeling

    Science.gov (United States)

    Maheo, Laurent; Guérard, Sandra; Rio, Gérard; Donnard, Adrien; Viot, Philippe

    2015-09-01

    Cellular materials are strongly related to pressure level inside the material. It is therefore important to use experiments which can highlight (i) the pressure-volume behavior, (ii) the shear-shape behavior for different pressure level. Authors propose to use hydrostatic compressive, shear and combined pressure-shear tests to determine cellular materials behavior. Finite Element Modeling must take into account these behavior specificities. Authors chose to use a behavior law with a Hyperelastic, a Viscous and a Hysteretic contributions. Specific developments has been performed on the Hyperelastic one by separating the spherical and the deviatoric part to take into account volume change and shape change characteristics of cellular materials.

  6. Organization customer behavior: Elected models

    Directory of Open Access Journals (Sweden)

    Maričić Branko

    2008-01-01

    Full Text Available Paper is dealing with business-to-business marketing issues with particular attention to some of models oriented to explain differences relative to FMCG marketing. Author describe the core principles of selected models including their basic features. In this paper some of models are in focus - Window and Webster-Window model as well as Sheets model, Nielsen model and Multivariation tools.

  7. Micromechanical Behavior and Modelling of Granular Soil

    Science.gov (United States)

    1989-07-01

    elasticity, hypoelasticity , plasticity and viscoplasticity. Despite the large number of models , there is no consensus yet within the research community on...Classification) (U) Micromechanical Behavior and Modelling of Granular MOWo I... 12. PERSONAL AUTHOR(S) Emmanuel Petrakis and Ricardo Dobry 13a. TYPE OF...Institute (RPI) on the behavior and modelling of granular media is summarized. The final objective is to develol a constitutive law for granular soil

  8. A learning-based autonomous driver: emulate human driver's intelligence in low-speed car following

    Science.gov (United States)

    Wei, Junqing; Dolan, John M.; Litkouhi, Bakhtiar

    2010-04-01

    In this paper, an offline learning mechanism based on the genetic algorithm is proposed for autonomous vehicles to emulate human driver behaviors. The autonomous driving ability is implemented based on a Prediction- and Cost function-Based algorithm (PCB). PCB is designed to emulate a human driver's decision process, which is modeled as traffic scenario prediction and evaluation. This paper focuses on using a learning algorithm to optimize PCB with very limited training data, so that PCB can have the ability to predict and evaluate traffic scenarios similarly to human drivers. 80 seconds of human driving data was collected in low-speed (car-following scenarios. In the low-speed car-following tests, PCB was able to perform more human-like carfollowing after learning. A more general 120 kilometer-long simulation showed that PCB performs robustly even in scenarios that are not part of the training set.

  9. Evaluation of an in-vehicle monitoring system (IVMS) to reduce risky driving behaviors in commercial drivers: Comparison of in-cab warning lights and supervisory coaching with videos of driving behavior.

    Science.gov (United States)

    Bell, Jennifer L; Taylor, Matthew A; Chen, Guang-Xiang; Kirk, Rachel D; Leatherman, Erin R

    2017-02-01

    Roadway incidents are the leading cause of work-related death in the United States. The objective of this research was to evaluate whether two types of feedback from a commercially available in-vehicle monitoring system (IVMS) would reduce the incidence of risky driving behaviors in drivers from two companies. IVMS were installed in 315 vehicles representing the industries of local truck transportation and oil and gas support operations, and data were collected over an approximate two-year period in intervention and control groups. In one period, intervention group drivers were given feedback from in-cab warning lights from an IVMS that indicated occurrence of harsh vehicle maneuvers. In another period, intervention group drivers viewed video recordings of their risky driving behaviors with supervisors, and were coached by supervisors on safe driving practices. Risky driving behaviors declined significantly more during the period with coaching plus instant feedback with lights in comparison to the period with lights-only feedback (ORadj=0.61 95% CI 0.43-0.86; Holm-adjusted p=0.035) and the control group (ORadj=0.52 95% CI 0.33-0.82; Holm-adjusted p=0.032). Lights-only feedback was not found to be significantly different than the control group's decline from baseline (ORadj=0.86 95% CI 0.51-1.43; Holm-adjusted p>0.05). The largest decline in the rate of risky driving behaviors occurred when feedback included both supervisory coaching and lights. Supervisory coaching is an effective form of feedback to improve driving habits in the workplace. The potential advantages and limitations of this IVMS-based intervention program are discussed. Published by Elsevier Ltd.

  10. Modeling admissible behavior using event signals.

    Science.gov (United States)

    Pinzon, Luz; Jafari, Mohsen A; Hanisch, Hans-Michael; Zhao, Peng

    2004-06-01

    We describe here how to obtain a model for the admissible behavior of a discrete event system that is represented by a safe Petri net (PN) model. The transitions of this PN model may be controllable or uncontrollable. Also given is a sequential specification which is modeled with a special state machine. Then, using the condition and event arcs of net condition/event systems, a combined model of plant and specification is obtained. We use only the structure of this combined model to develop a method which gives the admissible behavior of the system. Thus, we avoid the complexity of a complete state enumeration.

  11. Investigating Tectonic Drivers of Miocene - Pliocene Polar Climate Evolution using the HadCM3 Climate Model.

    Science.gov (United States)

    Hunter, S. J.; Knies, J.; Haywood, A. M.; Dolan, A. M.; Pound, M. J.

    2015-12-01

    We model the climate of the Miocene (Tortonian and the Messinian) and the Pliocene (Piacenzian) using the HadCM3 Atmosphere-Ocean GCM. We use baseline Miocene and Pliocene geographies that have different reconstruction lineages so we describe methods to create a set of self-consistent paleogeographies that represent the main features of the three stages. We present large-scale features of the evolving climate and examine model fidelity by comparing modelled climatology against palaeoenvironmental proxy data. We focus on the climate of the Arctic region and investigate tectonic drivers of sea ice expansion by comparing and interpreting model predictions against borehole data from the North Atlantic and Arctic Ocean. In particular how Late Miocene/ early Pliocene tectonic uplift in the Svalbard/Barents Sea and Greenland region, the opening of the Bering Strait, and the onset of deep water Atlantic-Arctic exchange influenced the development of modern sea ice cover.

  12. Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model.

    Science.gov (United States)

    Delphin, S; Escobedo, F J; Abd-Elrahman, A; Cropper, W

    2013-11-15

    Information on the effect of direct drivers such as hurricanes on ecosystem services is relevant to landowners and policy makers due to predicted effects from climate change. We identified forest damage risk zones due to hurricanes and estimated the potential loss of 2 key ecosystem services: aboveground carbon storage and timber volume. Using land cover, plot-level forest inventory data, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, and a decision tree-based framework; we determined potential damage to subtropical forests from hurricanes in the Lower Suwannee River (LS) and Pensacola Bay (PB) watersheds in Florida, US. We used biophysical factors identified in previous studies as being influential in forest damage in our decision tree and hurricane wind risk maps. Results show that 31% and 0.5% of the total aboveground carbon storage in the LS and PB, respectively was located in high forest damage risk (HR) zones. Overall 15% and 0.7% of the total timber net volume in the LS and PB, respectively, was in HR zones. This model can also be used for identifying timber salvage areas, developing ecosystem service provision and management scenarios, and assessing the effect of other drivers on ecosystem services and goods. Copyright © 2013 Elsevier Ltd. All rights reserved.

  13. A Conceptual Model of Natural and Anthropogenic Drivers and Their Influence on the Prince William Sound, Alaska, Ecosystem

    Science.gov (United States)

    Harwell, Mark A.; Gentile, John H.; Cummins, Kenneth W.; Highsmith, Raymond C.; Hilborn, Ray; McRoy, C. Peter; Parrish, Julia; Weingartner, Thomas

    2010-01-01

    Prince William Sound (PWS) is a semi-enclosed fjord estuary on the coast of Alaska adjoining the northern Gulf of Alaska (GOA). PWS is highly productive and diverse, with primary productivity strongly coupled to nutrient dynamics driven by variability in the climate and oceanography of the GOA and North Pacific Ocean. The pelagic and nearshore primary productivity supports a complex and diverse trophic structure, including large populations of forage and large fish that support many species of marine birds and mammals. High intra-annual, inter-annual, and interdecadal variability in climatic and oceanographic processes as drives high variability in the biological populations. A risk-based conceptual ecosystem model (CEM) is presented describing the natural processes, anthropogenic drivers, and resultant stressors that affect PWS, including stressors caused by the Great Alaska Earthquake of 1964 and the Exxon Valdez oil spill of 1989. A trophodynamic model incorporating PWS valued ecosystem components is integrated into the CEM. By representing the relative strengths of driver/stressors/effects, the CEM graphically demonstrates the fundamental dynamics of the PWS ecosystem, the natural forces that control the ecological condition of the Sound, and the relative contribution of natural processes and human activities to the health of the ecosystem. The CEM illustrates the dominance of natural processes in shaping the structure and functioning of the GOA and PWS ecosystems. PMID:20862192

  14. Differences in glance behavior between drivers using a rearview camera, parking sensor system, both technologies, or no technology during low-speed parking maneuvers.

    Science.gov (United States)

    Kidd, David G; McCartt, Anne T

    2016-02-01

    This study characterized the use of various fields of view during low-speed parking maneuvers by drivers with a rearview camera, a sensor system, a camera and sensor system combined, or neither technology. Participants performed four different low-speed parking maneuvers five times. Glances to different fields of view the second time through the four maneuvers were coded along with the glance locations at the onset of the audible warning from the sensor system and immediately after the warning for participants in the sensor and camera-plus-sensor conditions. Overall, the results suggest that information from cameras and/or sensor systems is used in place of mirrors and shoulder glances. Participants with a camera, sensor system, or both technologies looked over their shoulders significantly less than participants without technology. Participants with cameras (camera and camera-plus-sensor conditions) used their mirrors significantly less compared with participants without cameras (no-technology and sensor conditions). Participants in the camera-plus-sensor condition looked at the center console/camera display for a smaller percentage of the time during the low-speed maneuvers than participants in the camera condition and glanced more frequently to the center console/camera display immediately after the warning from the sensor system compared with the frequency of glances to this location at warning onset. Although this increase was not statistically significant, the pattern suggests that participants in the camera-plus-sensor condition may have used the warning as a cue to look at the camera display. The observed differences in glance behavior between study groups were illustrated by relating it to the visibility of a 12-15-month-old child-size object. These findings provide evidence that drivers adapt their glance behavior during low-speed parking maneuvers following extended use of rearview cameras and parking sensors, and suggest that other technologies which

  15. Analysis of the effect of older drivers’ driving behaviors on traffic flow based on a modified CA model

    Science.gov (United States)

    Jian, Mei-Ying; Shi, Jing; Liu, Yang

    2016-09-01

    As the global population ages, there are more and more older drivers on the road. The decline in driving performance of older drivers may influence the properties of traffic flow and safety. The purpose of this paper is to investigate the effect of older drivers’ driving behaviors on traffic flow. A modified cellular automaton (CA) model which takes driving behaviors of older drivers into account is proposed. The simulation results indicate that older drivers’ driving behaviors induce a reduction in traffic flow especially when the density is higher than 15 vehicles per km per lane and an increase in Lane-changing frequency. The analysis of stability shows that a number of disturbances could frequently emerge, be propagated and eventually dissipate in this modified model. The results also reflect that with the increase of older drivers on the road, the probability of the occurrence of rear-end collisions increases greatly and obviously. Furthermore, the value of acceleration influences the traffic flow and safety significantly. These results provide the theoretical basis and reference for the traffic management departments to develop traffic management measure in the aging society.

  16. 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.

  17. Drivers' track decision behavior in curve areas on two-lane highways%双车道公路弯道驾驶员轨迹决策行为研究

    Institute of Scientific and Technical Information of China (English)

    林雨; 杨轸; 潘晓东

    2011-01-01

    The path of vehicles is one of the important indexes for highway horizontal alignment comfortableness and safety evaluation.The computer simulation technology is adopted to simulate drivers' track decision behavior in driving in order to study the influence of highway geometric alignment on the path of vehicles under free flow traffic state.For this purpose, the driver directional control model taking highway alignment conditions into consideration is developed on the basis of preview optimal curvature model which is put forward by Academician Guo Konghui with the introduction of SK highway geometric model.The main conclusions obtained are as follows;When the driver's track decision behavior is influenced only by the condition of the road itself, the path has a tendency to shift inward of the curves as vehicles entered the curves and tended to shift outward of the curves as vehicles exit the curves.The radius of horizontal curve had significant impact on drivers' track decision behavior,for the larger the radius of curve is,the little the lateral displacement of vehicle path,whereas the greater it would be.%车辆行驶轨迹是道路路线安全性和舒适性评价的重要指标之一.采用计算机仿真技术,模拟驾驶员操纵车辆行驶时的轨迹决策行为,研究在自由流交通状态下,道路几何线形对车辆行驶轨迹的影响规律.为此,在郭孔辉院士提出的预瞄最优曲率模型的基础上,引入了SK道路几何模型,建立了实际道路条件输入的驾驶员方向控制模型.得到以下主要研究结论:当驾驶员轨迹决策行为只受道路本身条件影响时,且车辆在进入曲线段时,行驶轨迹存在着朝曲线内侧偏移的运动趋势;在出曲线段时,车辆行驶轨迹趋向朝曲线外侧偏移.平曲线半径大小对驾驶员轨迹决策行为有着显著的影响,圆曲线半径越大,行车轨迹侧向偏移量越小,反之越大.

  18. 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

    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 well as to test for heterogeneity across the population, namely 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 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...

  19. The effects of iPod and text-messaging use on driver distraction: a bio-behavioral analysis.

    Science.gov (United States)

    Mouloua, M; Ahern, A; Quevedo, A; Jaramillo, D; Rinalducci, E; Smither, J; Alberti, P; Brill, C

    2012-01-01

    This study was designed to empirically examine the effects of iPod device and text-messaging activities on driver distraction. Sixty participants were asked to perform a driving simulation task while searching for songs using an iPod device or text messaging. Driving errors as measured by lane deviations were recorded and analyzed as a function of the distracters. Physiological measures (EEG) were also recorded during the driving phases in order to measure participant levels of cortical arousal. It was hypothesized that iPod use and text messaging would result in a profound effect on driving ability. The results showed a significant effect of iPod use and text-messaging on driving performance. Increased numbers of driving errors were recorded during the iPod and text-messaging phases than the pre- and post-allocation phases. Higher levels of Theta activity were also observed during the iPod and Text-messaging phase than the pre- and post-allocation phases. Implications for in-vehicle systems design, training, and safety are also discussed.

  20. Modeling cell behavior: moving beyond intuition

    Directory of Open Access Journals (Sweden)

    Mario Jolicoeur

    2014-04-01

    Full Text Available In the context of the launching of this new journal, we propose a forum to the community of researchers interested and involved in, or even simply questioning the why, what, how, and when of modeling cell or cell culture behavior. To start the discussion, we review some of the usual questions we are routinely asked on the pertinence of modeling cell behavior, and on who might benefit from conducting such work. To draw a global portrait, throughout this text we refer the reader to handbooks introducing the basics of modeling a biosystem, as well as to selected works that can help visualize the broad fields of applications.

  1. Critical behavior of a dynamical percolation model

    Institute of Scientific and Technical Information of China (English)

    YU Mei-Ling; XU Ming-Mei; LIU Zheng-You; LIU Lian-Shou

    2009-01-01

    The critical behavior of the dynamical percolation model, which realizes the molecular-aggregation conception and describes the crossover between the hadronic phase and the partonic phase, is studied in detail. The critical percolation distance for this model is obtained by using the probability P∞ of the appearance of an infinite cluster. Utilizing the finite-size scaling method the critical exponents γ/v and T are extracted from the distribution of the average cluster size and cluster number density. The influences of two model related factors, I.e. The maximum bond number and the definition of the infinite cluster, on the critical behavior are found to be small.

  2. Models of iodine behavior in reactor containments

    Energy Technology Data Exchange (ETDEWEB)

    Weber, C.F.; Beahm, E.C.; Kress, T.S.

    1992-10-01

    Models are developed for many phenomena of interest concerning iodine behavior in reactor containments during severe accidents. Processes include speciation in both gas and liquid phases, reactions with surfaces, airborne aerosols, and other materials, and gas-liquid interface behavior. Although some models are largely empirical formulations, every effort has been made to construct mechanistic and rigorous descriptions of relevant chemical processes. All are based on actual experimental data generated at the Oak Ridge National Laboratory (ORNL) or elsewhere, and, hence, considerable data evaluation and parameter estimation are contained in this study. No application or encoding is attempted, but each model is stated in terms of rate processes, with the intention of allowing mechanistic simulation. Taken together, this collection of models represents a best estimate iodine behavior and transport in reactor accidents.

  3. Machine Learning Approaches for Modeling Spammer Behavior

    CERN Document Server

    Islam, Md Saiful; Islam, Md Rafiqul

    2010-01-01

    Spam is commonly known as unsolicited or unwanted email messages in the Internet causing potential threat to Internet Security. Users spend a valuable amount of time deleting spam emails. More importantly, ever increasing spam emails occupy server storage space and consume network bandwidth. Keyword-based spam email filtering strategies will eventually be less successful to model spammer behavior as the spammer constantly changes their tricks to circumvent these filters. The evasive tactics that the spammer uses are patterns and these patterns can be modeled to combat spam. This paper investigates the possibilities of modeling spammer behavioral patterns by well-known classification algorithms such as Na\\"ive Bayesian classifier (Na\\"ive Bayes), Decision Tree Induction (DTI) and Support Vector Machines (SVMs). Preliminary experimental results demonstrate a promising detection rate of around 92%, which is considerably an enhancement of performance compared to similar spammer behavior modeling research.

  4. Modeling behavioral considerations related to information security.

    Energy Technology Data Exchange (ETDEWEB)

    Martinez-Moyano, I. J.; Conrad, S. H.; Andersen, D. F. (Decision and Information Sciences); (SNL); (Univ. at Albany)

    2011-01-01

    The authors present experimental and simulation results of an outcome-based learning model for the identification of threats to security systems. This model integrates judgment, decision-making, and learning theories to provide a unified framework for the behavioral study of upcoming threats.

  5. Behavior genetic modeling of human fertility

    DEFF Research Database (Denmark)

    Rodgers, J L; Kohler, H P; Kyvik, K O;

    2001-01-01

    Try) and number of children (NumCh). Behavior genetic models were fitted using structural equation modeling and DF analysis. A consistent medium-level additive genetic influence was found for NumCh, equal across genders; a stronger genetic influence was identified for FirstTry, greater for females than for males...

  6. Concept-Oriented Modeling of Dynamic Behavior

    NARCIS (Netherlands)

    Breedveld, P.C.; Borutzky, Wolfgang

    2011-01-01

    This chapter introduces the reader to the concept-oriented approach to modeling that clearly separates ideal concepts from the physical components of a system when modeling its dynamic behavior for a specific problem context. This is done from a port-based point of view for which the domain-independ

  7. 汽车驾驶人驾驶经验对注视行为特性的影响%Influence of driving experience on gazing behavior characteristic for car driver

    Institute of Scientific and Technical Information of China (English)

    郭应时; 马勇; 付锐; 盂妮; 袁伟

    2012-01-01

    通过实车试验,分别在城市道路和公路上,利用EyeLinkⅡ眼动仪测试了20名驾驶人的眼动参数与注视行为特性。将被试驾驶人分为熟练驾驶人组和非熟练驾驶人组,通过将实际驾驶过程中的交通场景录像逐帧分解,并与驾驶人的眼动数据相结合来确定驾驶人的真实注视目标,对比了熟练与非熟练驾驶人的注视区域和注视目标特征,研究了2组驾驶人驾驶经验对驾驶人注视行为特性的影响,并分析了导致2组驾驶人注视行为差异的原因。研究结果表明:驾驶经验对驾驶人注视行为特性有显著影响;在城市道路上,熟练驾驶人对近处目标的注视频次比非熟练驾驶人高约18%,而对车内后视镜的注视频次约为非熟练驾驶人的4.7倍;在公路上,非熟练驾驶人对远距离区域的注视频次仅为熟练驾驶人的4l%,而对车内区域的注视频次则为熟练驾驶人的2.1倍;驾驶人对右区域的注视频次平均约为左区域的2.5倍,且熟练驾驶人对右区域关注更多,约为左区域的4倍,而非熟练驾驶人对右区域的注视频次约为左区域的1.5倍;非熟练驾驶人处理信息的策略和效率均比熟练驾驶人差。%Abstract: In real vehicle driving test, the eye movement parameters and gazing behavior characteristics of 20 drivers were tested by using EyeLink ]1 eye movement tracking device on urban road and highway respectively. The participant drivers were divided into experienced driver group and novice driver group. By decompositing the traffic scene videos in the actual driving process frame by frame, and the real fixation targets of the drivers were determined by combining the eye movement data of drivers. The characteristics of fixation area and fixation target for experienced drivers and novice drivers were compared, the influences of driving experiences on the gazing behavior characteristics for two

  8. Applying incentive sensitization models to behavioral addiction

    DEFF Research Database (Denmark)

    Rømer Thomsen, Kristine; Fjorback, Lone; Møller, Arne

    2014-01-01

    The incentive sensitization theory is a promising model for understanding the mechanisms underlying drug addiction, and has received support in animal and human studies. So far the theory has not been applied to the case of behavioral addictions like Gambling Disorder, despite sharing clinical...... symptoms and underlying neurobiology. We examine the relevance of this theory for Gambling Disorder and point to predictions for future studies. The theory promises a significant contribution to the understanding of behavioral addiction and opens new avenues for treatment....

  9. Organizational buying behavior: An integrated model

    Directory of Open Access Journals (Sweden)

    Rakić Beba

    2002-01-01

    Full Text Available Organizational buying behavior is decision making process by which formal organizations establish the need for purchased products and services, and identify, evaluate, and choose among alternative brands and suppliers. Understanding the buying decision processes is essential to developing the marketing programs of companies that sell to organizations, or to 'industrial customers'. In business (industrial marketing, exchange relationships between the organizational selling center and the organizational buying center are crucial. Integrative model of organizational buying behavior offers a systematic framework in analyzing the complementary factors and what effect they have on the behavior of those involved in making buying decisions.

  10. NON-BEHAVIORAL MODELS OF PSYCHOSIS

    Directory of Open Access Journals (Sweden)

    Parle Milind

    2013-08-01

    Full Text Available Animal models have become indispensible tools for discovering new medicines and in the analysis of multitude of causes, bio-markers and pathophysiological changes, which bring about symptoms characteristics of a specific disorder. One of the biggest challenges in discovering medicines for psychosis is to find an appropriate animal model of this illness possessing fair face validity, construct validity, and predictive validity. We had explained in detail behavioral models of psychosis in our previous article. In the present review article, the authors have described various non-behavioral models such as pharmacological models (administering specific chemicals, genetic models (through genetic manipulation, lesion models (lesion of selected brain parts and neuro-developmental models employed for screening anti-psychotic agents. All these animal models imitate schizophrenic defects in some manner. Traditionally, pharmacological models (drug/chemical-induced psychosis were the most widely used. These models involve the manipulation of dopaminergic, glutamatergic, serotonergic, or GABA-ergic systems. In Lesion models, selected area of an animal's brain is damaged, to induce psychosis-like symptoms. Genetic factors also play a prominent role in many psychiatric disorders and numerous putative candidate genes have been identified. Neurodevelopmental models are based on the fact that schizophrenia can be caused due to prenatal exposure to certain viruses. The animals usually employed for the development of these models include rats, mice, and primates. The specific animal models developed within these frameworks are described in this review article.

  11. Explaining clinical behaviors using multiple theoretical models.

    Science.gov (United States)

    Eccles, Martin P; Grimshaw, Jeremy M; MacLennan, Graeme; Bonetti, Debbie; Glidewell, Liz; Pitts, Nigel B; Steen, Nick; Thomas, Ruth; Walker, Anne; Johnston, Marie

    2012-10-17

    In the field of implementation research, there is an increased interest in use of theory when designing implementation research studies involving behavior change. In 2003, we initiated a series of five studies to establish a scientific rationale for interventions to translate research findings into clinical practice by exploring the performance of a number of different, commonly used, overlapping behavioral theories and models. We reflect on the strengths and weaknesses of the methods, the performance of the theories, and consider where these methods sit alongside the range of methods for studying healthcare professional behavior change. These were five studies of the theory-based cognitions and clinical behaviors (taking dental radiographs, performing dental restorations, placing fissure sealants, managing upper respiratory tract infections without prescribing antibiotics, managing low back pain without ordering lumbar spine x-rays) of random samples of primary care dentists and physicians. Measures were derived for the explanatory theoretical constructs in the Theory of Planned Behavior (TPB), Social Cognitive Theory (SCT), and Illness Representations specified by the Common Sense Self Regulation Model (CSSRM). We constructed self-report measures of two constructs from Learning Theory (LT), a measure of Implementation Intentions (II), and the Precaution Adoption Process. We collected data on theory-based cognitions (explanatory measures) and two interim outcome measures (stated behavioral intention and simulated behavior) by postal questionnaire survey during the 12-month period to which objective measures of behavior (collected from routine administrative sources) were related. Planned analyses explored the predictive value of theories in explaining variance in intention, behavioral simulation and behavior. Response rates across the five surveys ranged from 21% to 48%; we achieved the target sample size for three of the five surveys. For the predictor variables

  12. Explaining clinical behaviors using multiple theoretical models

    Directory of Open Access Journals (Sweden)

    Eccles Martin P

    2012-10-01

    Full Text Available Abstract Background In the field of implementation research, there is an increased interest in use of theory when designing implementation research studies involving behavior change. In 2003, we initiated a series of five studies to establish a scientific rationale for interventions to translate research findings into clinical practice by exploring the performance of a number of different, commonly used, overlapping behavioral theories and models. We reflect on the strengths and weaknesses of the methods, the performance of the theories, and consider where these methods sit alongside the range of methods for studying healthcare professional behavior change. Methods These were five studies of the theory-based cognitions and clinical behaviors (taking dental radiographs, performing dental restorations, placing fissure sealants, managing upper respiratory tract infections without prescribing antibiotics, managing low back pain without ordering lumbar spine x-rays of random samples of primary care dentists and physicians. Measures were derived for the explanatory theoretical constructs in the Theory of Planned Behavior (TPB, Social Cognitive Theory (SCT, and Illness Representations specified by the Common Sense Self Regulation Model (CSSRM. We constructed self-report measures of two constructs from Learning Theory (LT, a measure of Implementation Intentions (II, and the Precaution Adoption Process. We collected data on theory-based cognitions (explanatory measures and two interim outcome measures (stated behavioral intention and simulated behavior by postal questionnaire survey during the 12-month period to which objective measures of behavior (collected from routine administrative sources were related. Planned analyses explored the predictive value of theories in explaining variance in intention, behavioral simulation and behavior. Results Response rates across the five surveys ranged from 21% to 48%; we achieved the target sample size for three of

  13. Investigating the influence of working memory capacity when driving behavior is combined with cognitive load: An LCT study of young novice drivers.

    Science.gov (United States)

    Ross, Veerle; Jongen, Ellen M M; Wang, Weixin; Brijs, Tom; Brijs, Kris; Ruiter, Robert A C; Wets, Geert

    2014-01-01

    Distracted driving has received increasing attention in the literature due to potential adverse safety outcomes. An often posed solution to alleviate distraction while driving is hands-free technology. Interference by distraction can occur however at the sensory input (e.g., visual) level, but also at the cognitive level where hands-free technology induces working memory (WM) load. Active maintenance of goal-directed behavior in the presence of distraction depends on WM capacity (i.e., Lavie's Load theory) which implies that people with higher WM capacity are less susceptible to distractor interference. This study investigated the interaction between verbal WM load and WM capacity on driving performance to determine whether individuals with higher WM capacity were less affected by verbal WM load, leading to a smaller deterioration of driving performance. Driving performance of 46 young novice drivers (17-25 years-old) was measured with the lane change task (LCT). Participants drove without and with verbal WM load of increasing complexity (auditory-verbal response N-back task). Both visuospatial and verbal WM capacity were investigated. Dependent measures were mean deviation in the lane change path (MDEV), lane change initiation (LCI) and percentage of correct lane changes (PCL). Driving experience was included as a covariate. Performance on each dependent measure deteriorated with increasing verbal WM load. Meanwhile, higher WM capacity related to better LCT performance. Finally, for LCI and PCL, participants with higher verbal WM capacity were influenced less by verbal WM load. These findings entail that completely eliminating distraction is necessary to minimize crash risks among young novice drivers. Copyright © 2013 Elsevier Ltd. All rights reserved.

  14. Accounting for the uncertainty related to building occupants with regards to visual comfort: A literature survey on drivers and models

    DEFF Research Database (Denmark)

    Fabi, Valentina; Andersen, Rune Korsholm; Corgnati, Stefano

    2016-01-01

    energy use during the design stage. Since the reaction to thermal, acoustic, or visual stimuli is not the same for every human being, monitoring the behaviour inside buildings is an essential step to assert differences in energy consumption related to different interactions. Reliable information...... conditions influence occupants' manual controlling of the system in offices and by consequence the energy consumption. The purpose of this study was to investigate the possible drivers for light-switching to model occupant behaviour in office buildings. The probability of switching lighting systems on or off...... who take daylight level into account and switch on lights only if necessary and people who totally disregard the natural lighting. This underlines the importance of how individuality is at the base of the definition of the different types of users....

  15. Behavioral modeling of Digitally Adjustable Current Amplifier

    OpenAIRE

    Josef Polak; Lukas Langhammer; Jan Jerabek

    2015-01-01

    This article presents the digitally adjustable current amplifier (DACA) and its analog behavioral model (ABM), which is suitable for both ideal and advanced analyses of the function block using DACA as active element. There are four levels of this model, each being suitable for simulation of a certain degree of electronic circuits design (e.g. filters, oscillators, generators). Each model is presented through a schematic wiring in the simulation program OrCAD, including a description of equat...

  16. 基于BP神经网络的驾驶员状态识别及行为分析%Drivers' state recognition and behavior analysis based on BP neural network algorithm

    Institute of Scientific and Technical Information of China (English)

    盛译萱

    2016-01-01

    Driver-in-loop Simulation Platform is used to simulate actual road condition and carry on the simulation driving experi-ment. Driver's behavior data is collected in real time and transmits to computer to analyze. The basic idea is to use BP neural net-work algorithm which could classify the data from platform into different driving states and Discrete Fourier transform( DFT) method which could analyze driver's behavior through of steering angle and accelerator pedal to verify the amplitude-frequency characteristic of different driving behavior is related to driver's operation ability and safety of vehicle.%运用驾驶员在环仿真平台可以模拟实际道路环境,进行模拟驾驶试验,实时采集行为数据并将数据传输到计算机上分析。本文主要运用BP神经网络算法对在环仿真平台采集的数据进行驾驶状态分类,并根据离散傅里叶变换( DFT)方法分析方向盘转角和油门踏板开度等数据从而对驾驶员行为进行分析。

  17. Behavior genetic modeling of human fertility

    DEFF Research Database (Denmark)

    Rodgers, J L; Kohler, H P; Kyvik, K O

    2001-01-01

    Try) and number of children (NumCh). Behavior genetic models were fitted using structural equation modeling and DF analysis. A consistent medium-level additive genetic influence was found for NumCh, equal across genders; a stronger genetic influence was identified for FirstTry, greater for females than for males......Behavior genetic designs and analysis can be used to address issues of central importance to demography. We use this methodology to document genetic influence on human fertility. Our data come from Danish twin pairs born from 1953 to 1959, measured on age at first attempt to get pregnant (First...

  18. Empirical Behavioral Models to Support Alternative Tools for the Analysis of Mixed-Priority Pedestrian-Vehicle Interaction in a Highway Capacity Context

    Science.gov (United States)

    Rouphail, Nagui M.

    2011-01-01

    This paper presents behavioral-based models for describing pedestrian gap acceptance at unsignalized crosswalks in a mixed-priority environment, where some drivers yield and some pedestrians cross in gaps. Logistic regression models are developed to predict the probability of pedestrian crossings as a function of vehicle dynamics, pedestrian assertiveness, and other factors. In combination with prior work on probabilistic yielding models, the results can be incorporated in a simulation environment, where they can more fully describe the interaction of these two modes. The approach is intended to supplement HCM analytical procedure for locations where significant interaction occurs between drivers and pedestrians, including modern roundabouts. PMID:21643488

  19. 道路环境对驾驶人眼动行为影响的试验研究%Impact of Road Conditions on Car Drivers Fixation Behavior with On-road Vehicle Tests

    Institute of Scientific and Technical Information of China (English)

    马勇; 付锐; 孟妮; 郭应时; 袁伟

    2015-01-01

    为了分析道路类型条件对驾驶人眼动行为的影响,分别在城市道路、城乡结合道路及山区公路上开展试验,利用EyeLinkⅡ型眼动仪对20名驾驶人的眼动行为进行测试和记录,分析不同道路环境中驾驶人的注视区域、注视目标及注视时长等特征.结果表明,驾驶人根据道路环境的变化调整其视觉搜索行为,在交通环境相对简单的道路上,驾驶人注视较远且平均注视时间较短,而在交通环境复杂多变的道路上,驾驶人注视较近且平均注视时间较长.研究结果为深入研究驾驶人的视觉行为规律、提高驾驶人行车安全性奠定了试验基础.%To analyze the impacts of road conditions on car driver's fixation behavior, 20 drivers'eye movement data and fixation behaviors are tested and recorded by EyeLinkⅡeye movement tracker in the condition of driving on urban roads, suburban roads and mountainous highways. Drivers'fixation behavior characteristics in different types of road conditions are studied. The results indicate that, drivers adjust their visual search behavior according to the changes of road environment. When driving in relatively simple road traffic environment, drivers watch farther and the mean fixation duration is shorter, while in complex environment, drivers watch closer and the mean fixation duration is longer. The findings laid experimental basis for in-depth study of driver visual behavior laws and traffic safety.

  20. Drivers of E-Business Value Creation in Banking Sector in Jordan: A Structural Equation Modeling Application

    Directory of Open Access Journals (Sweden)

    Ali Ahmad Alawneh

    2014-06-01

    Full Text Available With the development and growth of internet, its applications of e-banking, e-commerce, and e-business became irreplaceable channels regarding its fast access, rich content, and smooth interactivity. High investments are paid toward improving the quality of service offered by the banks. This paper is dedicated to empirically investigating the drivers of e-Business value creation in the Jordanian banking sector. This work summarizes the main differences among employee s of Jordanian and foreign bank regarding their perspectives. Many of the competing foreign banks to the Jordanian banks are enforced with huge financ ial capital, having long periods of banking practices and are employing cutting-edge echnologies and tools. To minimize the technological gap, Jordanian banks are working hard to develop their e-Business services. This in one hand has to enhance their trust, satisf action, and commitment toward existing customers and entice new comers on other hand. Based on business model of Amit and Zott, i.e. the four constructs of e-Value framework (efficiency, complementarities, lock-in, and novelty, four hypotheses have been formulated to test the differences in the drivers of e-Business value creation between Jordanian and f oreign banks. A survey questionnaire in a form of paper-and-pencil was delivered ersonally to 200 employees from four main Jordanian banks and 200 employees from four foreign banks working in Jordan. The questionnaire was formed and constructed to test the proposed hypotheses. the findings in this study based on the SEM and T-test analyses, revealed important implications that will help banks’ managers to makewell-informed decisions and policies regarding investments and resources allocation for implementing e- Business strategies and ventures. The paper concludes with discussing the importance of these findings for practitioners and for future research on value accrued from e-Business services.

  1. Behavioral effects in room evacuation models

    Science.gov (United States)

    Dossetti, V.; Bouzat, S.; Kuperman, M. N.

    2017-08-01

    In this work we study a model for the evacuation of pedestrians from an enclosure considering a continuous space substrate and discrete time. We analyze the influence of behavioral features that affect the use of the empty space, that can be linked to the attitudes or characters of the pedestrians. We study how the interaction of different behavioral profiles affects the needed time to evacuate completely a room and the occurrence of clogging. We find that neither fully egotistic nor fully cooperative attitudes are optimal from the point of view of the crowd. In contrast, intermediate behaviors provide lower evacuation times. This leads us to identify some phenomena closely analogous to the faster-is-slower effect. The proposed model allows for distinguishing between the role of the attitudes in the search for empty space and the attitudes in the conflicts.

  2. Knowledge Map: Mathematical Model and Dynamic Behaviors

    Institute of Scientific and Technical Information of China (English)

    Hai Zhuge; Xiang-Feng Luo

    2005-01-01

    Knowledge representation and reasoning is a key issue of the Knowledge Grid. This paper proposes a Knowledge Map (KM) model for representing and reasoning causal knowledge as an overlay in the Knowledge Grid. It extends Fuzzy Cognitive Maps (FCMs) to represent and reason not only simple cause-effect relations, but also time-delay causal relations, conditional probabilistic causal relations and sequential relations. The mathematical model and dynamic behaviors of KM are presented. Experiments show that, under certain conditions, the dynamic behaviors of KM can translate between different states. Knowing this condition, experts can control or modify the constructed KM while its dynamic behaviors do not accord with their expectation. Simulations and applications show that KM is more powerful and natural than FCM in emulating real world.

  3. Error Resilient Video Compression Using Behavior Models

    Directory of Open Access Journals (Sweden)

    Jacco R. Taal

    2004-03-01

    Full Text Available Wireless and Internet video applications are inherently subjected to bit errors and packet errors, respectively. This is especially so if constraints on the end-to-end compression and transmission latencies are imposed. Therefore, it is necessary to develop methods to optimize the video compression parameters and the rate allocation of these applications that take into account residual channel bit errors. In this paper, we study the behavior of a predictive (interframe video encoder and model the encoders behavior using only the statistics of the original input data and of the underlying channel prone to bit errors. The resulting data-driven behavior models are then used to carry out group-of-pictures partitioning and to control the rate of the video encoder in such a way that the overall quality of the decoded video with compression and channel errors is optimized.

  4. Traffic Games: Modeling Freeway Traffic with Game Theory.

    Science.gov (United States)

    Cortés-Berrueco, Luis E; Gershenson, Carlos; Stephens, Christopher R

    2016-01-01

    We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused by driver-driver interactions. To achieve this goal, a game-theoretic description of driver interaction was developed. This game-theoretic formalization allows one to model different lane-changing behaviors and to keep track of mobility performance. We simulate the evolution of cooperation, traffic flow, and mobility performance for different modeled behaviors. The analysis of these results indicates a mobility optimization process achieved by drivers' interactions.

  5. Hysteretic behavior modeling of elastoplastic materials

    Directory of Open Access Journals (Sweden)

    Šumarac Dragoslav

    2008-01-01

    Full Text Available In the present paper the Preisach model of hysteresis is applied to model cyclic behavior of elasto-plastic material. Rate of loading and viscous effects will not be considered. The problem of axial loading of rectangular cross section and cyclic bending of rectangular tube (box will be studied in details. Hysteretic stress-strain loop for prescribed history of stress change is plotted for material modeled by series connection of three unite element. Also moment-curvature hysteretic loop is obtained for a prescribed curvature change of rectangular tube (box. One chapter of the paper is devoted to results obtained by FEM using Finite Element Code ABAQUS. All obtained results clearly show advantages of the Preisach model for describing cyclic behavior of elasto-plastic material.

  6. Modeling landowner behavior regarding forest certification

    Science.gov (United States)

    David C. Mercker; Donald G. Hodges

    2008-01-01

    Nonindustrial private forest owners in western Tennessee were surveyed to assess their awareness, acceptance, and perceived benefits of forest certification. More than 80 percent of the landowners indicated a willingness to consider certification for their lands. A model was created to explain landowner behavior regarding their willingness to consider certification....

  7. Applying incentive sensitization models to behavioral addiction

    DEFF Research Database (Denmark)

    Rømer Thomsen, Kristine; Fjorback, Lone; Møller, Arne

    2014-01-01

    The incentive sensitization theory is a promising model for understanding the mechanisms underlying drug addiction, and has received support in animal and human studies. So far the theory has not been applied to the case of behavioral addictions like Gambling Disorder, despite sharing clinical...

  8. MODELING OPERANT BEHAVIOR IN THE PARKINSONIAN RAT

    OpenAIRE

    Avila, Irene; Reilly, Mark P; Sanabria, Federico; Posadas-Sánchez, Diana; Chavez, Claudia L.; Banerjee, Nikhil; Killeen, Peter; Castañeda, Edward

    2008-01-01

    Mathematical principles of reinforcement (MPR; Killeen, 1994) is a quantitative model of operant behavior that contains 3 parameters representing motor capacity (δ), motivation (a), and short term memory (λ). The present study applied MPR to characterize the effects of bilateral infusions of 6-OHDA into the substantia nigra pars compacta in the rat, a model of Parkinson’s disease. Rats were trained to lever press under a 5-component fixed ratio (5, 15, 30, 60, and 100) schedule of food reinfo...

  9. 考虑重复观测之间关联性的信息响应建模%Modeling of Driver Response to Travel Information by Taking Account of Correlations Among Repeated Observations

    Institute of Scientific and Technical Information of China (English)

    干宏程; 张宁

    2012-01-01

    以高架快速路上可变情报板发布高架和地面道路行程时间条件下改道决策的意向数据为建模对象,进行信息响应的离散选择建模,建立二元Probit横截面模型(CM)和考虑重复观测之间关联性的面板模型(PM),分析两种模型的性能.研究表明:驾龄越长,高架使用频率越高;中等年龄段的驾驶员越愿意改道;地面交叉口越少,节省时间越多,越愿意改道;单位用车驾驶员越不愿意改道.PM的拟合度明显高于CM; PM在模型系数上与CM相差不大,但是其统计推断鲁棒性更好;CM会明显高估驾驶员相关的解释变量系数的t检验值,但是会略微低估出行情境相关的解释变量系数的t检验值.%Urban freeway users' diversion response to VMS that display travel time on both urban freeway and local streets was explored. Stated preference data of diversion behavior was used to develop a cross-sectional binary probit model and a panel binary probit model for identifying factors that influence diversion response. Main findings regarding VMS impacts are travel time saving and drivers' years of driving experience serve as positive factors in diverting;number of traffic lights on the local street, using frequency of urban freeway; being a mid-age driver, and being an employer-provided car driver serve as negative factors in diverting. On the modeling aspect,it was shown that the panel model does not provide substantially different model coefficients but more robust statistical inferences for model coefficients as compared to the cross-sectional model,and the cross-sectional model tends to seriously overestimate t-test values for explanatory variables correlated with drivers (e. G. Demographic characteristics) but slightly underestimate t-test values, for explanatory variables correlated with scenarios (e. G. Travel time savings). The findings have implications for better design and operation of advanced traveler information systems and for future

  10. A Cellular Automata Traffic Flow Model considering Bus Lane Changing Behavior with Scheduling Parameters

    Directory of Open Access Journals (Sweden)

    Zun-dong Zhang

    2015-01-01

    Full Text Available According to different driving behavioral characteristics of bus drivers, a cellular automata traffic model considering the bus lane changing behavior with scheduling parameters is proposed in this paper. Traffic bottleneck problems caused by bus stops are simulated in multiple lanes roads with no-bay bus stations. With the mixed traffic flow composed of different bus arrival rate, flow-density graph, density distribution graph, and temporal-spatial graph are presented. Furthermore, the mixed traffic flow characteristics are analyzed. Numerical experiment results show that the proposed model can generate a variety of complicated realistic phenomena in the traffic system with bus stops and provide theoretical basis for better using of traffic flow model.

  11. 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

  12. Drivers and uncertainties of future global marine primary production in marine ecosystem models

    Directory of Open Access Journals (Sweden)

    C. Laufkötter

    2015-02-01

    Full Text Available Past model studies have projected a global decrease in marine net primary production (NPP over the 21st century, but these studies focused on the multi-model mean and mostly ignored the large inter-model differences. Here, we analyze model simulated changes of NPP for the 21st century under IPCC's high emission scenario RCP8.5 using a suite of nine coupled carbon–climate Earth System Models with embedded marine ecosystem models with a focus on the spread between the different models and the underlying reasons. Globally, five out of the nine models show a decrease in NPP over the course of the 21st century, while three show no significant trend and one even simulates an increase. The largest model spread occurs in the low latitudes (between 30° S and 30° N, with individual models simulating relative changes between −25 and +40%. In this region, the inter-quartile range of the differences between the 2012–2031 average and the 2081–2100 average is up to 3 mol C m-2 yr-1. These large differences in future change mirror large differences in present day NPP. Of the seven models diagnosing a net decrease in NPP in the low latitudes, only three simulate this to be a consequence of the classical interpretation, i.e., a stronger nutrient limitation due to increased stratification and reduced upwelling. In the other four, warming-induced increases in phytoplankton growth outbalance the stronger nutrient limitation. However, temperature-driven increases in grazing and other loss processes cause a net decrease in phytoplankton biomass and reduces NPP despite higher growth rates. One model projects a strong increase in NPP in the low latitudes, caused by an intensification of the microbial loop, while the remaining model simulates changes of less than 0.5%. While there is more consistency in the modeled increase in NPP in the Southern Ocean, the regional inter-model range is also very substantial. In most models, this increase in NPP is driven by

  13. Improving Data Drivers for Coronal and SolarWind Models (Postprint)

    Science.gov (United States)

    2012-02-08

    wind-magnetosphere interaction. While WSA is simpler than the more advanced 3D MHD models (e.g., MAS and BATS- R-US), it is sensitive to all the...model (Arge et al. 2004) or even advanced 3-D MHD model solar wind propagation models such as Enlil (e.g., Odstrcil et al. 2004) or LFM-helio (e.g...2000, J. Geophys. Res., 105, 10465 Bouttier, F., & Courtier, P. 2002, in Meteorological Training Course Lecture Series, ECMWF, 1 Evensen, G. 2003

  14. Behavior and Design Intent Based Product Modeling

    Directory of Open Access Journals (Sweden)

    László Horváth

    2004-11-01

    Full Text Available A knowledge based modeling of mechanical products is presented for industrial CAD/CAM systems. An active model is proposed that comprise knowledge from modeling procedures, generic part models and engineers. Present day models of mechanical systems do not contain data about the background of human decisions. This situation motivated the authors at their investigations on exchange design intent information between engineers. Their concept was extending of product models to be capable of description of design intent information. Several human-computer and human-human communication issues were considered. The complex communication problem has been divided into four sub-problems, namely communication of human intent source with the computer system, representation of human intent, exchange of intent data between modeling procedures and communication of the represented intent with humans. Paper discusses the scenario of intelligent modeling based engineering. Then key concepts for the application of computational intelligence in computer model based engineering systems are detailed including knowledge driven models as well as areas of their application. Next, behavior based models with intelligent content involving specifications and knowledge for the design processes are emphasized and an active part modeling is proposed and possibilities for its application are outlined. Finally, design intent supported intelligent modeling is discussed.

  15. Extension of internationalisation models drivers and processes for the globalisation of product development

    DEFF Research Database (Denmark)

    Søndergaard, Erik Stefan; Oehmen, Josef; Ahmed-Kristensen, Saeema

    2016-01-01

    This paper develops an extension to established production- and supply chain management focused internationalisation models. It applies explorative case studies in Danish and Chinese engineering firms to discover how the globalisation process of product development differs from Danish and Chinese...... perspectives. The paper uses internationalisation and global product development theory to explain similarities and differences in the approaches. Grounded in case study results, a new model for internationalisation is proposed. The new model expands the internationalisation process model to include steps...... of product development and collaborative distributed development beyond sourcing, sales and production elements. The paper then provides propositions for how to further develop the suggested model, and how western companies can learn from the Chinese approaches, and globalise their product development...

  16. Behavioral modeling of Digitally Adjustable Current Amplifier

    Directory of Open Access Journals (Sweden)

    Josef Polak

    2015-03-01

    Full Text Available This article presents the digitally adjustable current amplifier (DACA and its analog behavioral model (ABM, which is suitable for both ideal and advanced analyses of the function block using DACA as active element. There are four levels of this model, each being suitable for simulation of a certain degree of electronic circuits design (e.g. filters, oscillators, generators. Each model is presented through a schematic wiring in the simulation program OrCAD, including a description of equations representing specific functions in the given level of the simulation model. The design of individual levels is always verified using PSpice simulations. The ABM model has been developed based on practically measured values of a number of DACA amplifier samples. The simulation results for proposed levels of the ABM model are shown and compared with the results of the real easurements of the active element DACA.

  17. Aids to determining fuel models for estimating fire behavior

    Science.gov (United States)

    Hal E. Anderson

    1982-01-01

    Presents photographs of wildland vegetation appropriate for the 13 fuel models used in mathematical models of fire behavior. Fuel model descriptions include fire behavior associated with each fuel and its physical characteristics. A similarity chart cross-references the 13 fire behavior fuel models to the 20 fuel models used in the National Fire Danger Rating System....

  18. CronoClock: A Multiagent Mobile Model to Assist Drivers in Park Zones

    Directory of Open Access Journals (Sweden)

    María NAVARRO

    2014-10-01

    Full Text Available We present a model based on multiagent environment to help users of park zones. A multiagent system is built to communicate the different roles and devices belonging to the system. The result is a model that assists the different users in their payments and identifies the vehicle plate by image recognition and NFC (Near Field Communication technology. An evaluation of the system is provided to know the efficiency of the model.

  19. The Quintuple Helix innovation model: Global warming as a challenge and driver for innovation

    OpenAIRE

    Carayannis, Elias G.; Thorsten D. Barth; Campbell David F. J.

    2012-01-01

    The Triple Helix innovation model focuses on university-industry-government relations. The Quadruple Helix embeds the Triple Helix by adding as a fourth helix the media-based and culture-based public and civil society. The Quintuple Helix innovation model is even broader and more comprehensive by contextualizing the Quadruple Helix and by additionally adding the helix (and perspective) of the natural environments of society. The Triple Helix acknowledges explicitly the importance of higher ed...

  20. Behavioral modeling and analysis of galvanic devices

    Science.gov (United States)

    Xia, Lei

    2000-10-01

    A new hybrid modeling approach was developed for galvanic devices including batteries and fuel cells. The new approach reduces the complexity of the First Principles method and adds a physical basis to the empirical methods. The resulting general model includes all the processes that affect the terminal behavior of the galvanic devices. The first step of the new model development was to build a physics-based structure or framework that reflects the important physiochemical processes and mechanisms of a galvanic device. Thermodynamics, electrode kinetics, mass transport and electrode interfacial structure of an electrochemical cell were considered and included in the model. Each process of the cell is represented by a clearly-defined and familiar electrical component, resulting in an equivalent circuit model for the galvanic device. The second step was to develop a parameter identification procedure that correlates the device response data to the parameters of the components in the model. This procedure eliminates the need for hard-to-find data on the electrochemical properties of the cell and specific device design parameters. Thus, the model is chemistry and structure independent. Implementation issues of the new modeling approach were presented. The validity of the new model over a wide range of operating conditions was verified with experimental data from actual devices. The new model was used in studying the characteristics of galvanic devices. Both the steady-state and dynamic behavior of batteries and fuel cells was studied using the impedance analysis techniques. The results were used to explain some experimental results of galvanic devices such as charging and pulsed discharge. The knowledge gained from the device analysis was also used in devising new solutions to application problems such as determining the state of charge of a battery or the maximum power output of a fuel cell. With the new model, a system can be designed that utilizes a galvanic device

  1. Complex Behaviors of a Simple Traffic Model

    Institute of Scientific and Technical Information of China (English)

    GAO Xing-Ru

    2006-01-01

    In this paper, we propose a modified traffic model in which a single car moves through a sequence of traffic lights controlled by a step function instead of a sine function. In contrast to the previous work [Phys. Rev. E 70 (2004)016107], we have investigated in detail the dependence of the behavior on four parameters, ω, α, η, and a1, and given three kinds of bifurcation diagrams, which show three kinds of complex behaviors. We have found that in this model there are chaotic and complex periodic motions, as well as special singularities. We have also analyzed the characteristic of the complex period motion and the essential feature of the singularity.

  2. Model "Big Five" personality and criminal behavior

    OpenAIRE

    Sánchez-Teruel, David; Profesor, Departamento de Psicología-Área de Psicología Social, Facultad de Humanidades y Ciencias de la Educación, España.; Robles-Bello, Mª Auxiliadora; Profesor, Departamento de Psicología-Área de Psicología Social, Facultad de Humanidades y Ciencias de la Educación, España.

    2013-01-01

    It reflect on the theoretical issues that currently versa Personality Psychology in general and antisocial or criminal behavior in particular. It discusses how the model can be used personality "Big Five" applied to the field of crime, and shows the variables that the literature presented as more predictive, through one of the most widely used assessment instruments at present. It currently advises finding, meeting points between the various existing theories, for that personality does not be...

  3. From Drivers to Athletes -- Modeling and Simulating Cross-Country Sking Marathons

    CERN Document Server

    Treiber, Martin; Kesting, Arne

    2014-01-01

    Traffic flow of athletes in classic-style cross-country ski marathons, with the Swedish Vasaloppet as prominent example, represents a non-vehicular system of driven particles with many properties of vehicular traffic flow such as unidirectional movement, the existence of lanes, and, moreover, severe traffic jams. We propose a microscopic acceleration and track-changing model taking into account different fitness levels, gradients, and interactions between the athletes in all traffic situations. The model is calibrated on microscopic data of the $\\textit{Vasaloppet 2012}$ Using the multi-model open-source simulator MovSim.org, we simulate all 15 000 participants of the Vasaloppet during the first ten kilometers.

  4. Behavioral Reference Model for Pervasive Healthcare Systems.

    Science.gov (United States)

    Tahmasbi, Arezoo; Adabi, Sahar; Rezaee, Ali

    2016-12-01

    The emergence of mobile healthcare systems is an important outcome of application of pervasive computing concepts for medical care purposes. These systems provide the facilities and infrastructure required for automatic and ubiquitous sharing of medical information. Healthcare systems have a dynamic structure and configuration, therefore having an architecture is essential for future development of these systems. The need for increased response rate, problem limited storage, accelerated processing and etc. the tendency toward creating a new generation of healthcare system architecture highlight the need for further focus on cloud-based solutions for transfer data and data processing challenges. Integrity and reliability of healthcare systems are of critical importance, as even the slightest error may put the patients' lives in danger; therefore acquiring a behavioral model for these systems and developing the tools required to model their behaviors are of significant importance. The high-level designs may contain some flaws, therefor the system must be fully examined for different scenarios and conditions. This paper presents a software architecture for development of healthcare systems based on pervasive computing concepts, and then models the behavior of described system. A set of solutions are then proposed to improve the design's qualitative characteristics including, availability, interoperability and performance.

  5. Animal Models of Compulsive Eating Behavior

    Directory of Open Access Journals (Sweden)

    Matteo Di Segni

    2014-10-01

    Full Text Available Eating disorders are multifactorial conditions that can involve a combination of genetic, metabolic, environmental, and behavioral factors. Studies in humans and laboratory animals show that eating can also be regulated by factors unrelated to metabolic control. Several studies suggest a link between stress, access to highly palatable food, and eating disorders. Eating “comfort foods” in response to a negative emotional state, for example, suggests that some individuals overeat to self-medicate. Clinical data suggest that some individuals may develop addiction-like behaviors from consuming palatable foods. Based on this observation, “food addiction” has emerged as an area of intense scientific research. A growing body of evidence suggests that some aspects of food addiction, such as compulsive eating behavior, can be modeled in animals. Moreover, several areas of the brain, including various neurotransmitter systems, are involved in the reinforcement effects of both food and drugs, suggesting that natural and pharmacological stimuli activate similar neural systems. In addition, several recent studies have identified a putative connection between neural circuits activated in the seeking and intake of both palatable food and drugs. The development of well-characterized animal models will increase our understanding of the etiological factors of food addiction and will help identify the neural substrates involved in eating disorders such as compulsive overeating. Such models will facilitate the development and validation of targeted pharmacological therapies.

  6. Modeling of Uncertainties in Major Drivers in U.S. Electricity Markets: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Short, W.; Ferguson, T.; Leifman, M.

    2006-09-01

    This paper presents information on the Stochastic Energy Deployment System (SEDS) model. DOE and NREL are developing this new model, intended to address many of the shortcomings of the current suite of energy models. Once fully built, the salient qualities of SEDS will include full probabilistic treatment of the major uncertainties in national energy forecasts; code compactness for desktop application; user-friendly interface for a reasonably trained analyst; run-time within limits acceptable for quick-response analysis; choice of detailed or aggregate representations; and transparency of design, code, and assumptions. Moreover, SEDS development will be increasingly collaborative, as DOE and NREL will be coordinating with multiple national laboratories and other institutions, making SEDS nearly an 'open source' project. The collaboration will utilize the best expertise on specific sectors and problems, and also allow constant examination and review of the model. This paper outlines the rationale for this project and a description of its alpha version, as well as some example results. It also describes some of the expected development efforts in SEDS.

  7. Land Use as a Driver of Patterns of Rodenticide Exposure in Modeled Kit Fox Populations.

    Directory of Open Access Journals (Sweden)

    Theresa M Nogeire

    Full Text Available Although rodenticides are increasingly regulated, they nonetheless cause poisonings in many non-target wildlife species. Second-generation anticoagulant rodenticide use is common in agricultural and residential landscapes. Here, we use an individual-based population model to assess potential population-wide effects of rodenticide exposures on the endangered San Joaquin kit fox (Vulpes macrotis mutica. We estimate likelihood of rodenticide exposure across the species range for each land cover type based on a database of reported pesticide use and literature. Using a spatially-explicit population model, we find that 36% of modeled kit foxes are likely exposed, resulting in a 7-18% decline in the range-wide modeled kit fox population that can be linked to rodenticide use. Exposures of kit foxes in low-density developed areas accounted for 70% of the population-wide exposures to rodenticides. We conclude that exposures of non-target kit foxes could be greatly mitigated by reducing the use of second-generation anticoagulant rodenticides in low-density developed areas near vulnerable populations.

  8. Model to assess the impacts of external drivers on the hydrology of the Ganges River Basin

    Science.gov (United States)

    Muthuwatta, L.; Sood, A.; Sharma, B.

    2014-09-01

    Impact of climate change on the hydrology of the Ganges River Basin (GRB) is simulated by using a hydrological model - Soil and Water Assessment Tool (SWAT). Climate data from the GCM, Hadley Centre Coupled Model, version 3 (HadCM3) was downscaled with PRECIS for the GRB under A1B Special Report on Emission Scenarios (SRES) scenarios. The annual average precipitation will increase by 2.2% and 14.1% by 2030 and 2050, respectively, compared to the baseline period (1981-2010). Spatial distribution of the future precipitation shows that in the substantial areas of the middle part of the GRB, the annual precipitation in 2030 and 2050 will be reduced compared to the baseline period. Simulations indicate that in 2050 the total groundwater recharge would increase by 12%, while the increase of evapotranspiration will be about 10% compared to the baseline period. The water yield is also expected to increase in the future (up to 40% by 2050 compared to baseline), especially during the wetter months. The model setup is available for free from IWMI's modelling inventory.

  9. Understanding drivers of the export of dissolved organic carbon from a German headwater catchment using Generalised Additive Models

    Science.gov (United States)

    Selle, Benny; Musolff, Andreas; Tittel, Jörg

    2016-04-01

    In the literature, several causes of recently increasing concentrations of dissolved organic carbon (DOC) in headwaters across eastern North America and northern and central Europe have been debated. One likely driver of the widespread increase of DOC concentrations since the early 1990s are decreasing depositions of acid rain resulting in an increased solubility of organic carbon compounds including humic acids. Here, we tested the hypothesis if the reduced availability of nitrate stimulated the microbial reduction of ferric iron soil minerals and the mobilisation of DOC. Forested catchments are relatively unaffected by agricultural and urban nitrate inputs. In these catchments, decreasing depositions often resulted in a reduced availability of nitrate, which are preferred electron acceptors in microbial decomposition processes. As ferric iron minerals act as efficient sorbents of organic compounds in soils its reduction may cause a release of humic substances and hence an export of DOC. To test this hypothesis, time series of DOC, dissolved iron and nitrate from a forested headwater catchment in Germany were examined using Generalised Additive Models. We found that rising DOC concentrations most likely resulted from a reductive dissolution of iron(III) minerals in soils and the associated mobilisation of adsorbed organic carbon. Phosphate, which can trigger undesired algal growth and is also known to be adsorbed by particulate iron(III), was released as well.

  10. Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior

    NARCIS (Netherlands)

    Maness, M.; Cirillo, C.; Dugundji, E.R.

    2015-01-01

    Over the past two decades, transportation has begun a shift from an individual focus to a social focus. Accordingly, discrete choice models have begun to integrate social context into its framework. Social influence, the process of having one’s behavior be affected by others, has been one approach t

  11. Creation of the Driver Fixed Heel Point (FHP) CAD Accommodation Model for Military Ground Vehicle Design

    Science.gov (United States)

    2016-08-04

    Standard: Human Engineering, 2012. The unifying factor amongst these is the requirement to accommodate the central 90% of the Soldier population . MIL...Heel Point (FHP), accommodation model, occupant work space, central 90% of the Soldier population , encumbrance, posture and position, computer aided...which the occupant is an integral element of vehicle workstation design. Ensuring that a given percentage of the population can sit safely and

  12. Modelling drivers of mangrove propagule dispersal and restoration of abandoned shrimp farms

    Directory of Open Access Journals (Sweden)

    D. Di Nitto

    2013-01-01

    Full Text Available Propagule dispersal of four mangrove species Rhizophora mucronata, R. apiculata, Ceriops tagal and Avicennia officinalis in the Pambala-Chilaw Lagoon Complex (Sri Lanka was studied by combining a hydrodynamic model with species-specific knowledge on propagule dispersal behaviour. Propagule transport was simulated using a finite-volume advection-diffusion model to investigate the effect of dispersal vectors (tidal flow, freshwater discharge and wind, trapping agents (retention by vegetation and seed characteristics (buoyancy on propagule dispersal patterns. Sensitivity analysis showed that smaller propagules, like the oval-shaped propagules of Avicennia officinalis, dispersed over larger distances and were most sensitive to changing values of retention by mangrove vegetation compared to larger, torpedo-shaped propagules of Rhizophora spp. and C. tagal. Directional propagule dispersal in this semi-enclosed lagoon with a small tidal range was strongly concentrated towards the edges of the lagoon and channels. Short distance dispersal appeared to be the main dispersal strategy for all four studied species, with most of the propagules being retained within the vegetation. Only a small proportion (max. 5% of propagules left the lagoon through a channel connecting the lagoon with the open sea. Wind significantly influenced dispersal distance and direction once propagules entered the lagoon or adjacent channels. Implications of these findings for mangrove restoration were tested by simulating partial removal in the model of dikes around abandoned shrimp ponds to restore tidal hydrology and facilitate natural recolonisation by mangroves. The specific location of dike removal, (with respect to the vicinity of mangroves and independently suitable hydrodynamic flows, was found to significantly affect the resultant quantities and species of inflowing of propagules and hence the potential effectiveness of natural

  13. Modelling drivers of mangrove propagule dispersal and restoration of abandoned shrimp farms

    Directory of Open Access Journals (Sweden)

    D. Di Nitto

    2013-07-01

    Full Text Available Propagule dispersal of four mangrove species Rhizophora mucronata, R. apiculata, Ceriops tagal and Avicennia officinalis in the Pambala–Chilaw Lagoon Complex (Sri Lanka was studied by combining a hydrodynamic model with species-specific knowledge on propagule dispersal behaviour. Propagule transport was simulated using a finite-volume advection-diffusion model to investigate the effect of dispersal vectors (tidal flow, freshwater discharge and wind, trapping agents (retention by vegetation and seed characteristics (buoyancy on propagule dispersal patterns. Sensitivity analysis showed that smaller propagules, like the oval-shaped propagules of Avicennia officinalis, dispersed over larger distances and were most sensitive to changing values of retention by mangrove vegetation compared to larger, torpedo-shaped propagules of Rhizophora spp. and C. tagal. Directional propagule dispersal in this semi-enclosed lagoon with a small tidal range was strongly concentrated towards the edges of the lagoon and channels. Short distance dispersal appeared to be the main dispersal strategy for all four studied species, with most of the propagules being retained within the vegetation. Only a small proportion (max. 5% of propagules left the lagoon through a channel connecting the lagoon with the open sea. Wind significantly influenced dispersal distance and direction once propagules entered the lagoon or adjacent channels. Implications of these findings for mangrove restoration were tested by simulating partial removal in the model of dikes around abandoned shrimp ponds to restore tidal hydrology and facilitate natural recolonisation by mangroves. The specific location of dike removal, (with respect to the vicinity of mangroves and independently suitable hydrodynamic flows, was found to significantly affect the resultant quantities and species of inflowing propagules and hence the potential effectiveness of natural regeneration. These results demonstrate the

  14. Modelling the interplay between global and regional drivers on Amazon deforestation

    Science.gov (United States)

    Dalla-Nora, E. L.; Aguiar, A. P. D.; Montenegro Lapola, D.; Woltjer, G.

    2014-12-01

    Since mid-2000s, several measures have been taken to curb Amazon deforestation in Brazil, which dropped 84% up to 2012. However, this process raise concerns owed of the unintended effects of such interventions, like land use displacements. Here we explore an innovative modeling approach for the Amazon in order to simulate how the global demand for agricultural commodities and different regional land use policies could affect future deforestation trends inside and outside the Amazon, paying special attention to leakage effects over the Cerrado. A global economic model was taken to integrate supply and demand factors at both global and regional scales, coupled with a spatially explicitly land use model. Leakage effects are simulated in two different ways, regarding land demand and land allocation, based on the relative land rents of different land use types and spatial regression. Six contrasting multi-scale scenarios are explored focusing on deforestation rates and spatial pattern analysis. Our results unveil that Amazon conservation might not be the end of deforestation in Brazil once it can lead to 70% increase over the Cerrado cleared area up to 2050. Biofuels targets compliance can further press land cover changes over these regions revealing that productivity gains will be decisive for both Amazon and Cerrado conservation. In summary, closing the agricultural frontier in the Amazon cannot ensure biodiversity conservation or carbon savings in absence of complementary measures committed with land use efficiency, controlled land use expansion and new economic alternatives.

  15. Behavior computing modeling, analysis, mining and decision

    CERN Document Server

    2012-01-01

    Includes six case studies on behavior applications Presents new techniques for capturing behavior characteristics in social media First dedicated source of references for the theory and applications of behavior informatics and behavior computing

  16. Zebra fish: an uncharted behavior genetic model.

    Science.gov (United States)

    Gerlai, Robert

    2003-09-01

    The zebra fish has been a preferred subject of genetic analysis. It produces a large number of offspring that can be kept in small aquaria, it can be easily mutagenized using chemical mutagens (e.g., ethyl nitrosourea [ENU]), and high-resolution genetic maps exist that aid identification of novel genes. Libraries containing large numbers of mutant fish have been generated, and the genetic mechanisms of the development of zebra fish, whose embryo is transparent, have been extensively studied. Given the extensive homology of its genome with that of other vertebrate species including our own and given the available genetic tools, zebra fish has become a popular model organism. Despite this popularity, however, surprisingly little is known about its behavior. It is argued that behavioral analysis is a powerful tool with which the function of the brain may be studied, and the zebra fish will represent an excellent subject of such analysis. The present paper is a proof of concept study that uses pharmacological manipulation (exposure to alcohol) to show that the zebra fish is amenable to the behavioral genetic analysis of aggression and thus may allow us to reveal molecular mechanisms of this behavioral phenomenon relevant to vertebrates.

  17. State-Space Modelling of the Drivers of Movement Behaviour in Sympatric Species.

    Directory of Open Access Journals (Sweden)

    F J Pérez-Barbería

    Full Text Available Understanding animal movement behaviour is key to furthering our knowledge on intra- and inter-specific competition, group cohesion, energy expenditure, habitat use, the spread of zoonotic diseases or species management. We used a radial basis function surface approximation subject to minimum description length constraint to uncover the state-space dynamical systems from time series data. This approximation allowed us to infer structure from a mathematical model of the movement behaviour of sheep and red deer, and the effect of density, thermal stress and vegetation type. Animal movement was recorded using GPS collars deployed in sheep and deer grazing a large experimental plot in winter and summer. Information on the thermal stress to which animals were exposed was estimated using the power consumption of mechanical heated models and meteorological records of a network of stations in the plot. Thermal stress was higher in deer than in sheep, with less differences between species in summer. Deer travelled more distance than sheep, and both species travelled more in summer than in winter; deer travel distance showed less seasonal differences than sheep. Animal movement was better predicted in deer than in sheep and in winter than in summer; both species showed a swarming behaviour in group cohesion, stronger in deer. At shorter separation distances swarming repulsion was stronger between species than within species. At longer separation distances inter-specific attraction was weaker than intra-specific; there was a positive density-dependent effect on swarming, and stronger in deer than in sheep. There was not clear evidence which species attracted or repelled the other; attraction between deer at long separation distances was stronger when the model accounted for thermal stress, but in general the dynamic movement behaviour was hardly affected by the thermal stress. Vegetation type affected intra-species interactions but had little effect on

  18. State-Space Modelling of the Drivers of Movement Behaviour in Sympatric Species.

    Science.gov (United States)

    Pérez-Barbería, F J; Small, M; Hooper, R J; Aldezabal, A; Soriguer-Escofet, R; Bakken, G S; Gordon, I J

    2015-01-01

    Understanding animal movement behaviour is key to furthering our knowledge on intra- and inter-specific competition, group cohesion, energy expenditure, habitat use, the spread of zoonotic diseases or species management. We used a radial basis function surface approximation subject to minimum description length constraint to uncover the state-space dynamical systems from time series data. This approximation allowed us to infer structure from a mathematical model of the movement behaviour of sheep and red deer, and the effect of density, thermal stress and vegetation type. Animal movement was recorded using GPS collars deployed in sheep and deer grazing a large experimental plot in winter and summer. Information on the thermal stress to which animals were exposed was estimated using the power consumption of mechanical heated models and meteorological records of a network of stations in the plot. Thermal stress was higher in deer than in sheep, with less differences between species in summer. Deer travelled more distance than sheep, and both species travelled more in summer than in winter; deer travel distance showed less seasonal differences than sheep. Animal movement was better predicted in deer than in sheep and in winter than in summer; both species showed a swarming behaviour in group cohesion, stronger in deer. At shorter separation distances swarming repulsion was stronger between species than within species. At longer separation distances inter-specific attraction was weaker than intra-specific; there was a positive density-dependent effect on swarming, and stronger in deer than in sheep. There was not clear evidence which species attracted or repelled the other; attraction between deer at long separation distances was stronger when the model accounted for thermal stress, but in general the dynamic movement behaviour was hardly affected by the thermal stress. Vegetation type affected intra-species interactions but had little effect on inter

  19. Agent-based modeling of sustainable behaviors

    CERN Document Server

    Sánchez-Maroño, Noelia; Fontenla-Romero, Oscar; Polhill, J; Craig, Tony; Bajo, Javier; Corchado, Juan

    2017-01-01

    Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.

  20. Mob control models of threshold collective behavior

    CERN Document Server

    Breer, Vladimir V; Rogatkin, Andrey D

    2017-01-01

    This book presents mathematical models of mob control with threshold (conformity) collective decision-making of the agents. Based on the results of analysis of the interconnection between the micro- and macromodels of active network structures, it considers the static (deterministic, stochastic and game-theoretic) and dynamic (discrete- and continuous-time) models of mob control, and highlights models of informational confrontation. Many of the results are applicable not only to mob control problems, but also to control problems arising in social groups, online social networks, etc. Aimed at researchers and practitioners, it is also a valuable resource for undergraduate and postgraduate students as well as doctoral candidates specializing in the field of collective behavior modeling.

  1. Psychological drivers in doping: The life-cycle model of performance enhancement

    Directory of Open Access Journals (Sweden)

    Aidman Eugene

    2008-03-01

    Full Text Available Abstract Background Performance enhancement (PE is a natural and essential ingredient of competitive sport. Except for nutritional supplement contamination, accidental use of doping is highly unlikely. It requires deliberation, planning and commitment; and is influenced by a host of protective and risk factors. Hypothesis In the course of their career, athletes constantly set goals and make choices regarding the way these goals can be achieved. The cycle of choice – goal commitment – execution – feedback on goal attainment – goal evaluation/adjustment has numerous exit points, each providing an opportunity for behaviour change, which may or may not be related to the use of prohibited methods. The interplay between facilitating and inhibiting systemic and personality factors, constantly influenced by situational factors could result in an outcome vector of 'doping attitudes', which combines with subjective norms to influence intentions to choose prohibited PE methods. These influences also vary from one stage of athlete development to the next, making some athletes more vulnerable to engaging in doping practices than others, and more vulnerable at certain time periods – and not others. Testing the hypothesis Model-testing requires a series of carefully planned and coordinated studies. Correlational studies can establish relationships where the directionality is not-known or not important. Experimental studies with the manipulation of doping expectancies and risk factors can be used to demonstrate causality and evaluate potential intervention strategies. The final model can be tested via a behavioural simulation, with outcomes compared to those expected from literature precedence or used as a simulated computer game for empirical data collection. Implications A hypothesized life-cycle model of PE identifies vulnerability factors across the stages of athlete development with the view of informing the design of anti-doping assessment and

  2. Understanding the Drivers of Economic Growth: Grounding Endogenous Economic Growth Models in Resource-Advantage Theory

    Directory of Open Access Journals (Sweden)

    Shelby D. Hunt

    2012-12-01

    Full Text Available Foss (2012 provides an informed and informative comment on my article “Trust, Personal Moral Codes, and the Resource-Advantage Theory of Competition: Explaining Productivity, Economic Growth, and Wealth Creation” (Hunt, 2012. In general, his comment is highly supportive of both the theory and the arguments developed in my article. He does, however, raise certain issues that need to be addressed. These issues relate to the concept of total factor productivity, the role of institutions in promoting economic growth, and the importance of understanding how transaction costs impact entrepreneurship and economic growth. This reply focuses on his discussion of growth economics and endogenous economic growth models.

  3. Tumoral stem cell reprogramming as a driver of cancer: Theory, biological models, implications in cancer therapy.

    Science.gov (United States)

    Vicente-Dueñas, Carolina; Hauer, Julia; Ruiz-Roca, Lucía; Ingenhag, Deborah; Rodríguez-Meira, Alba; Auer, Franziska; Borkhardt, Arndt; Sánchez-García, Isidro

    2015-06-01

    Cancer is a clonal malignant disease originated in a single cell and characterized by the accumulation of partially differentiated cells that are phenotypically reminiscent of normal stages of differentiation. According to current models, therapeutic strategies that block oncogene activity are likely to selectively target tumor cells. However, recent evidences have revealed that cancer stem cells could arise through a tumor stem cell reprogramming mechanism, suggesting that genetic lesions that initiate the cancer process might be dispensable for tumor progression and maintenance. This review addresses the impact of these results toward a better understanding of cancer development and proposes new approaches to treat cancer in the future.

  4. Mammary-Stem-Cell-Based Somatic Mouse Models Reveal Breast Cancer Drivers Causing Cell Fate Dysregulation

    Directory of Open Access Journals (Sweden)

    Zheng Zhang

    2016-09-01

    Full Text Available Cancer genomics has provided an unprecedented opportunity for understanding genetic causes of human cancer. However, distinguishing which mutations are functionally relevant to cancer pathogenesis remains a major challenge. We describe here a mammary stem cell (MaSC organoid-based approach for rapid generation of somatic genetically engineered mouse models (GEMMs. By using RNAi and CRISPR-mediated genome engineering in MaSC-GEMMs, we have discovered that inactivation of Ptpn22 or Mll3, two genes mutated in human breast cancer, greatly accelerated PI3K-driven mammary tumorigenesis. Using these tumor models, we have also identified genetic alterations promoting tumor metastasis and causing resistance to PI3K-targeted therapy. Both Ptpn22 and Mll3 inactivation resulted in disruption of mammary gland differentiation and an increase in stem cell activity. Mechanistically, Mll3 deletion enhanced stem cell activity through activation of the HIF pathway. Thus, our study has established a robust in vivo platform for functional cancer genomics and has discovered functional breast cancer mutations.

  5. An empirical behavioral model of price formation

    CERN Document Server

    Mike, S

    2005-01-01

    Although behavioral economics has demonstrated that there are many situations where rational choice is a poor empirical model, it has so far failed to provide quantitative models of economic problems such as price formation. We make a step in this direction by developing empirical models that capture behavioral regularities in trading order placement and cancellation using data from the London Stock Exchange. For order placement we show that the probability of placing an order at a given price is well approximated by a Student distribution with less than two degrees of freedom, centered on the best quoted price. This result is surprising because it implies that trading order placement is symmetric, independent of the bid-ask spread, and the same for buying and selling. We also develop a crude but simple cancellation model that depends on the position of an order relative to the best price and the imbalance between buying and selling orders in the limit order book. These results are combined to construct a sto...

  6. The relative impact of climate change mitigation policies and socioeconomic drivers on water scarcity - An integrated assessment modeling approach

    Science.gov (United States)

    Hejazi, M. I.; Edmonds, J. A.; Clarke, L. E.; Kyle, P.; Davies, E. G.; Chaturvedi, V.; Patel, P.; Eom, J.; Wise, M.; Kim, S.; Calvin, K. V.; Moss, R. H.

    2012-12-01

    We investigate the relative effects of climate emission mitigation policies and socioeconomic drivers on water scarcity conditions over the 21st century both globally and regionally, by estimating both water availability and demand within a technologically-detailed global integrated assessment model of energy, agriculture, and climate change - the Global Change Assessment Model (GCAM). We first develop a global gridded monthly hydrologic model that reproduces historical streamflow observations and simulates the future availability of freshwater under both a changing climate and an evolving landscape, and incorporate this model into GCAM. We then develop and incorporate technologically oriented representations of water demands for the agricultural (irrigation and livestock), energy (electricity generation, primary energy production and processing), industrial (manufacturing and mining), and municipal sectors. The energy, industrial, and municipal sectors are represented in fourteen geopolitical regions, with the agricultural sector further disaggregated into as many as eighteen agro-ecological zones (AEZs) within each region. To perform the water scarcity analysis at the grid scale, the global water demands for the six demand sectors are spatially downscaled to 0.5 o x 0.5o resolution to match the scale of GWAM. The water scarcity index (WSI) compares total water demand to the total amount of renewable water available, and defines extreme water scarcity in any region as demand greater than 40% of total water availability. Using a reference scenario (i.e., no climate change mitigation policy) with radiative forcing reaching 8.8 W/m2 by 2095 and a global population of 14 billion, global annual water demand grows from about 9% of total annual renewable freshwater in 2005 to about 32% by 2095. This results in almost half of the world population living under extreme water scarcity by the end of the 21st century. Regionally, the demands for water exceed the total

  7. VOTERS DECIDE. CLASSICAL MODELS OF ELECTORAL BEHAVIOR.

    Directory of Open Access Journals (Sweden)

    Constantin SASU

    2015-04-01

    Full Text Available The decision to vote and choosing among the candidates is a extremely important one with repercussions on everyday life by determining, in global mode, its quality for the whole society. Therefore the whole process by which the voter decide becomes a central concern. In this paper we intend to locate the determinants of the vote decision in the electoral behavior classical theoretical models developed over time. After doing synthesis of classical schools of thought on electoral behavior we conclude that it has been made a journey through the mind, soul and cheek, as follows: the mind as reason in theory developed by Downs, soul as preferably for an actor in Campbell's theory, etc. and cheek as an expression of the impossibility of detachment from social groups to which we belong in Lazarsfeld's theory.

  8. Drivers of inorganic carbon dynamics in first-year sea ice: A model study

    DEFF Research Database (Denmark)

    Moreau, Sebastien; Vancoppenolle, Martin; Delille, Bruno

    2015-01-01

    included. The model is evaluated using observations from a 6 month field study at Point Barrow, Alaska, and an ice-tank experi- ment. At Barrow, results show that the DIC budget is mainly driven by physical processes, wheras brine-air CO2 fluxes, ikaite formation, and net primary production, are secondary...... factors. In terms of ice-atmosphere CO2 exchanges, sea ice is a net CO2 source and sink in winter and summer, respectively. The formulation of the ice-atmosphere CO2 flux impacts the simulated near-surface CO2 partial pressure (pCO2), but not the DIC budget. Because the simulated ice-atmosphere CO2 fluxes...

  9. Mathematical Modeling to Assess the Drivers of the Recent Emergence of Typhoid Fever in Blantyre, Malawi.

    Science.gov (United States)

    Pitzer, Virginia E; Feasey, Nicholas A; Msefula, Chisomo; Mallewa, Jane; Kennedy, Neil; Dube, Queen; Denis, Brigitte; Gordon, Melita A; Heyderman, Robert S

    2015-11-01

    Multiyear epidemics of Salmonella enterica serovar Typhi have been reported from countries across eastern and southern Africa in recent years. In Blantyre, Malawi, a dramatic increase in typhoid fever cases has recently occurred, and may be linked to the emergence of the H58 haplotype. Strains belonging to the H58 haplotype often exhibit multidrug resistance and may have a fitness advantage relative to other Salmonella Typhi strains. To explore hypotheses for the increased number of typhoid fever cases in Blantyre, we fit a mathematical model to culture-confirmed cases of Salmonella enterica infections at Queen Elizabeth Central Hospital, Blantyre. We explored 4 hypotheses: (1) an increase in the basic reproductive number (R0) in response to increasing population density; (2) a decrease in the incidence of cross-immunizing infection with Salmonella Enteritidis; (3) an increase in the duration of infectiousness due to failure to respond to first-line antibiotics; and (4) an increase in the transmission rate following the emergence of the H58 haplotype. Increasing population density or decreasing cross-immunity could not fully explain the observed pattern of typhoid emergence in Blantyre, whereas models allowing for an increase in the duration of infectiousness and/or the transmission rate of typhoid following the emergence of the H58 haplotype provided a good fit to the data. Our results suggest that an increase in the transmissibility of typhoid due to the emergence of drug resistance associated with the H58 haplotype may help to explain recent outbreaks of typhoid in Malawi and similar settings in Africa. © The Author 2015. Published by Oxford University Press on behalf of the Infectious Diseases Society of America.

  10. Drivers of coupled model ENSO error dynamics and the spring predictability barrier

    Science.gov (United States)

    Larson, Sarah M.; Kirtman, Ben P.

    2017-06-01

    Despite recent improvements in ENSO simulations, ENSO predictions ultimately remain limited by error growth and model inadequacies. Determining the accompanying dynamical processes that drive the growth of certain types of errors may help the community better recognize which error sources provide an intrinsic limit to predictability. This study applies a dynamical analysis to previously developed CCSM4 error ensemble experiments that have been used to model noise-driven error growth. Analysis reveals that ENSO-independent error growth is instigated via a coupled instability mechanism. Daily error fields indicate that persistent stochastic zonal wind stress perturbations (τx^' } ) near the equatorial dateline activate the coupled instability, first driving local SST and anomalous zonal current changes that then induce upwelling anomalies and a clear thermocline response. In particular, March presents a window of opportunity for stochastic τx^' } to impose a lasting influence on the evolution of eastern Pacific SST through December, suggesting that stochastic τx^' } is an important contributor to the spring predictability barrier. Stochastic winds occurring in other months only temporarily affect eastern Pacific SST for 2-3 months. Comparison of a control simulation with an ENSO cycle and the ENSO-independent error ensemble experiments reveals that once the instability is initiated, the subsequent error growth is modulated via an ENSO-like mechanism, namely the seasonal strength of the Bjerknes feedback. Furthermore, unlike ENSO events that exhibit growth through the fall, the growth of ENSO-independent SST errors terminates once the seasonal strength of the Bjerknes feedback weakens in fall. Results imply that the heat content supplied by the subsurface precursor preceding the onset of an ENSO event is paramount to maintaining the growth of the instability (or event) through fall.

  11. Drivers of coupled model ENSO error dynamics and the spring predictability barrier

    Science.gov (United States)

    Larson, Sarah M.; Kirtman, Ben P.

    2016-07-01

    Despite recent improvements in ENSO simulations, ENSO predictions ultimately remain limited by error growth and model inadequacies. Determining the accompanying dynamical processes that drive the growth of certain types of errors may help the community better recognize which error sources provide an intrinsic limit to predictability. This study applies a dynamical analysis to previously developed CCSM4 error ensemble experiments that have been used to model noise-driven error growth. Analysis reveals that ENSO-independent error growth is instigated via a coupled instability mechanism. Daily error fields indicate that persistent stochastic zonal wind stress perturbations (τx^' } ) near the equatorial dateline activate the coupled instability, first driving local SST and anomalous zonal current changes that then induce upwelling anomalies and a clear thermocline response. In particular, March presents a window of opportunity for stochastic τx^' } to impose a lasting influence on the evolution of eastern Pacific SST through December, suggesting that stochastic τx^' } is an important contributor to the spring predictability barrier. Stochastic winds occurring in other months only temporarily affect eastern Pacific SST for 2-3 months. Comparison of a control simulation with an ENSO cycle and the ENSO-independent error ensemble experiments reveals that once the instability is initiated, the subsequent error growth is modulated via an ENSO-like mechanism, namely the seasonal strength of the Bjerknes feedback. Furthermore, unlike ENSO events that exhibit growth through the fall, the growth of ENSO-independent SST errors terminates once the seasonal strength of the Bjerknes feedback weakens in fall. Results imply that the heat content supplied by the subsurface precursor preceding the onset of an ENSO event is paramount to maintaining the growth of the instability (or event) through fall.

  12. Stabilization effect of multiple drivers' desired velocities in car-following theory

    Science.gov (United States)

    Zhang, Geng; Zhao, Min; Sun, Di-Hua; Liu, Wei-Ning; Li, Hua-Min

    2016-01-01

    In order to reveal the influence of driver's individual behavior on traffic flow more accurately, a new car-following model is proposed with consideration of multiple drives' desired velocities. The stability criterion of the new model is derived through linear stability theory and the results show that the current driver's desired velocity can stabilize traffic flow but the preceding driver's desired velocity can damage traffic stability. Through nonlinear analysis, the traffic jamming transition characteristics near the critical point can be described by the kink-antikink soliton of the mKdV equation. Numerical simulation confirms the analytical results, which shows that the multiple drivers' desired velocities play an important role in traffic evolution.

  13. Variability in projected elevation dependent warming in boreal midlatitude winter in CMIP5 climate models and its potential drivers

    Science.gov (United States)

    Rangwala, Imtiaz; Sinsky, Eric; Miller, James R.

    2016-04-01

    The future rate of climate change in mountains has many potential human impacts, including those related to water resources, ecosystem services, and recreation. Analysis of the ensemble mean response of CMIP5 global climate models (GCMs) shows amplified warming in high elevation regions during the cold season in boreal midlatitudes. We examine how the twenty-first century elevation-dependent response in the daily minimum surface air temperature [d(ΔTmin)/dz] varies among 27 different GCMs during winter for the RCP 8.5 emissions scenario. The focus is on regions within the northern hemisphere mid-latitude band between 27.5°N and 40°N, which includes both the Rocky Mountains and the Tibetan Plateau/Himalayas. We find significant variability in d(ΔTmin)/dz among the individual models ranging from 0.16 °C/km (10th percentile) to 0.97 °C/km (90th percentile), although nearly all of the GCMs (24 out of 27) show a significant positive value for d(ΔTmin)/dz. To identify some of the important drivers associated with the variability in d(ΔTmin)/dz during winter, we evaluate the co-variance between d(ΔTmin)/dz and the differential response of elevation-based anomalies in different climate variables as well as the GCMs' spatial resolution, their global climate sensitivity, and their elevation-dependent free air temperature response. We find that d(ΔTmin)/dz has the strongest correlation with elevation-dependent increases in surface water vapor, followed by elevation-dependent decreases in surface albedo, and a weak positive correlation with the GCMs' free air temperature response.

  14. 公路平面线形与驾驶员视觉搜索模式相关性分析%Correlation analysis between highway horizontal alignment and drivers visual search behavior

    Institute of Scientific and Technical Information of China (English)

    王芳; 陈飞; 倪富健; 戈若愚; 程迎迎

    2009-01-01

    In order to quantitatively describe the correlation between drivers' visual search behavior and highway horizontal alignment, the study of drives' visual search behavior based on eye movement experimental was carried out. Firstly, the eye movement indexes under different highway horizontal alignment conditions were obtained by laboratory test; Secondly, the correlation between drivers' visual search behavior and highway horizontal alignment were analyzed from macroscopic level to microcosmic level. Finally, the laboratory testing' effectiveness and the results' reliability were verified by outdoor testing. The results show that the index of fixation duration has significant difference under different horizontal alignment condition. Moreover, drivers' fixation duration has remarkable correlation with horizontal radius R and the value of A. Using Lagrange mean value theorem, it is found that drivers' visual search behavior will change obviously when radius is greater than 1. 5 km or when distance between line section and curve section is less than 100 m. It would be a crucial point in drivers' visual search behavior.%为定量描述驾驶员视觉搜索模式与公路平面线形的相关性,基于眼动试验展开对驾驶员视觉搜索模式的研究.首先通过室内试验获得驾驶员在不同公路平面线形条件下的眼动指标;其次,从宏观层面到微观层面分析驾驶员视觉搜索模式与平面线形的相关性;最后,通过室外试验分析验证室内试验的有效性和结论的可靠性.结果表明:在不同平面线形条件下,驾驶员注视持续时间具有显著差异性.此外,平曲线半径、缓和曲线A值与驾驶员注视持续时间有明显的相关性.应用拉格朗日中值定理发现,当平曲线半径R>1.5 km或直线段结束前100 m时驾驶员注视持续时间变化显著,即为驾驶员视觉搜索变化的关键点.

  15. Matching of traction control systems for all-wheel devices by means of a virtual driver model; Abstimmung von Traktionsregelsystemen fuer Allradfahrzeuge mit Hilfe eines virtuellen Fahrermodells

    Energy Technology Data Exchange (ETDEWEB)

    Vockenhuber, Mario [MAGNA Powertrain AG und Co. KG, Lannach (Austria); Fischer, Rainer [Magna Powertrain, Engineering Center Steyr, St. Valentin (Austria); Butz, Torsten; Ehmann, Martin [TESIS DYNAware GmbH, Muenchen (Germany)

    2011-07-01

    Simulation of the full vehicle dynamics is an efficient means for function development and validation as well as calibration of traction control systems for four-wheel drive vehicles. Simulation models for vehicle, control systems and environment with a suitable level of detail are used to investigate different layout variants of the drivetrain on various tracks. This contribution outlines a driver model which enables considering the influence of different driving styles. Various human driver types are depicted by specific controller parameterization or definition of reference values for longitudinal and lateral vehicle guidance. Thus, apart from the calibration of control system electronics also realistic load spectra for durability computations of mechanical components can be determined via simulation. (orig.)

  16. Statistical analysis of road-vehicle-driver interaction as an enabler to designing behavioural models

    Science.gov (United States)

    Chakravarty, T.; Chowdhury, A.; Ghose, A.; Bhaumik, C.; Balamuralidhar, P.

    2014-03-01

    Telematics form an important technology enabler for intelligent transportation systems. By deploying on-board diagnostic devices, the signatures of vehicle vibration along with its location and time are recorded. Detailed analyses of the collected signatures offer deep insights into the state of the objects under study. Towards that objective, we carried out experiments by deploying telematics device in one of the office bus that ferries employees to office and back. Data is being collected from 3-axis accelerometer, GPS, speed and the time for all the journeys. In this paper, we present initial results of the above exercise by applying statistical methods to derive information through systematic analysis of the data collected over four months. It is demonstrated that the higher order derivative of the measured Z axis acceleration samples display the properties Weibull distribution when the time axis is replaced by the amplitude of such processed acceleration data. Such an observation offers us a method to predict future behaviour where deviations from prediction are classified as context-based aberrations or progressive degradation of the system. In addition we capture the relationship between speed of the vehicle and median of the jerk energy samples using regression analysis. Such results offer an opportunity to develop a robust method to model road-vehicle interaction thereby enabling us to predict such like driving behaviour and condition based maintenance etc.

  17. Foreign ownership as a driver of qualiaty management in Slovak agribusiness: applying MBNQA model

    Directory of Open Access Journals (Sweden)

    Radovan Savov

    2017-06-01

    Full Text Available Despite attention being paid to quality management in the literature, little empirical research has been conducted on developing the link between adoption of quality management approach and business performance in agricultural enterprises, and moreover, only a few empirical studies have investigated this issue in Central and Eastern Europe. The conducted empirical survey examines the relationship between adopting the quality management approach and business performance from the perspective of agricultural enterprises in Slovakia. The empirical findings are based on 70 responses from agribusinesses in Slovak Republic. To measure the adopting of quality management approach the MBNQA model was used. The authors have used linear regression as an evaluation method. Based on the results it can be concluded the adopting of quality management approach is determined by ownership. The enterprises owned by the owner from abroad adopt the quality management approach more readily than the domestic ones. This study contributes to the European research that studies the relation between quality management and business performance of agribusinesses by means of an empirical investigation in agricultural organizations in a transition economy such as Slovakia.

  18. Attributing greenhouse gas emissions associated with land use and land use change to direct and indirect human and natural drivers: a modelling study to estimate their relative importance.

    Science.gov (United States)

    Hastings, Astley; Abdalla, Mohamed; Bell, Madeleine; Blagodatskiy, Sergey; Datta, Arindam; Dondini, Marta; Fitton, Nuala; Jones, Ed; Klumpp, Katja; Nemoto, Rie; Richards, Mark; Yeluripati, Jagadeesh; Smith, Pete

    2013-04-01

    Since humans cultivated crops, domesticated livestock and exploited woods and grasslands they have directly changed land use. In Europe, most of the landscapes are anthropogenically influenced. Each land use will have its carbon stock in the soil and vegetation that will depend on the geography, parent material of the soil, the climate and its land use history. For each land use and cover the soil carbon stock will reach a steady state where the rate of decomposition of the soil carbon is balanced by the organic material input each year. Each type of vegetation will reach a steady state depending on the length of its plants life cycle; for annual plants it is months, perennial grasslands it is years and for forest it is decades or centuries. In addition, the management of the crops, grasses or trees can be intensive, where the maximum vegetation is harvested or grazed, or extensive, when part of the plant material is left as a soil input. Net carbon flux will depend on the carbon balance between photosynthesis and respiration. Methane flux will mainly depend of the water content and redox potential of the soil and nitrous oxide emissions will depend of the type and amount of nitrogen input, pH and the relative timing of rainfall events, as well as the climatic conditions. In his study we have used site experiments to parameterize ecosystem models such as ECOSSE, DAYCENT, PASIM and DNDC on sites where there were more than one land use treatment to investigate the relative impact of human direct and indirect drivers compared to natural ones. Once the models have been parameterized the drivers to be investigated are systematically changed. The land uses investigated are grassland, forest, peatland and cropland. The direct drivers investigated are land use change (from cropland and grassland to bioenergy grasses, cropland to grassland and forest) and management change from intensive to extensive and vice versa. The management drivers investigated include tillage

  19. Survey on eating behavior and dietary structure of taxi drivers in Beijing%北京市出租车司机膳食结构与饮食行为调查

    Institute of Scientific and Technical Information of China (English)

    段一凡; 潘丽莉; 赖建强; 闫玲; 张红梅; 荫士安; 葛可佑

    2012-01-01

    目的 了解北京市出租车司机膳食结构与饮食行为,为改善出租车司机的营养健康状况提供科学依据.方法 采用方便抽样的方法,在北京首都机场T3航站楼地下停车场候机排队的出租车中随机抽取1052人作为调查对象.采用问卷调查的方法收集司机的饮食行为、膳食结构等信息.结果 21.8%的出租车司机出车时3餐均在外就餐,郊区司机3餐进食时长低于城区司机.出租车司机不吃早餐、午餐、晚餐的比例分别是10.5%、4.4%和14.8%.出租车司机出车时午餐和晚餐的构成主要是“主食+荤菜+素菜”,较少司机选择加入水果,尤其是午餐.干净卫生和能吃饱是司机们选择就餐环境时考虑的主要因素,仅有少部分司机在选择午餐(20.4%)或晚餐(27.4%)时会考虑营养因素.结论 北京市出租车司机特别是郊区司机,目前仍存在饮食不规律、3餐分配及膳食结构不合理的现象.%Objective To investigate the eating behavior and dietary structure of taxi drivers in Beijing, and to provide scientific information for improving the nutrition and health of the taxi drivers. Methods Convenience sampling method was employed in the current study. A questionnaire survey was conducted among 1052 taxi drivers who were waiting for work at the parking of Terminal 3 capital airport. Results There are 21. 8% drivers had meals outside 3 times one day. This proportion was higher in the suburban drivers. Time for spending in eating in suburban drivers was shorter than urban drivers. The proportions of without breakfast lunch and dinner were 10. 5% , 4.4% and 14. 8% respectively. The drivers' dietary structure of lunch and dinner were "grain + meat + vegetables" during working outside, few drivers had some fruit, especially for the lunch. Drivers chose the lunch or dinner for clean and sanitary and for full, few for nutrition (20.4% or 27.4% ). Conclusion Eating disorders, unreasonable

  20. 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

    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...... mirrored the self-reported 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...

  1. Molecular Modeling of Solid Fluid Phase Behavior

    Energy Technology Data Exchange (ETDEWEB)

    Peter A. Monson

    2007-12-20

    This report gives a summary of the achievements under DOE contract No. DOE/ER/14150 during the period September 1, 1990 to December 31, 2007. This project was concerned with the molecular modeling of solid-fluid equilibrium. The focus was on understanding how solid-fluid and solid-solid phase behavior are related to molecular structure, and the research program made a seminal contribution in this area. The project led to 34 journal articles, including a comprehensive review article published in Advances in Chemical Physics. The DOE funding supported the work of 5 Ph.D. students, 2 M.S. students and 5 postdoctoral researchers.

  2. Behavioral and Statistical Models of Educational Inequality

    DEFF Research Database (Denmark)

    Holm, Anders; Breen, Richard

    2016-01-01

    This article addresses the question of how students and their families make educational decisions. We describe three types of behavioral model that might underlie decision-making, and we show that they have consequences for what decisions are made. Our study, thus, has policy implications if we...... wish to encourage students and their families to make better educational choices. We also establish the conditions under which empirical analysis can distinguish between the three sorts of decision-making, and we illustrate our arguments using data from the National Educational Longitudinal Study....

  3. Modeling creep behavior of fiber composites

    Science.gov (United States)

    Chen, J. L.; Sun, C. T.

    1988-01-01

    A micromechanical model for the creep behavior of fiber composites is developed based on a typical cell consisting of a fiber and the surrounding matrix. The fiber is assumed to be linearly elastic and the matrix nonlinearly viscous. The creep strain rate in the matrix is assumed to be a function of stress. The nominal stress-strain relations are derived in the form of differential equations which are solved numerically for off-axis specimens under uniaxial loading. A potential function and the associated effective stress and effective creep strain rates are introduced to simplify the orthotropic relations.

  4. Behavioral and Statistical Models of Educational Inequality

    DEFF Research Database (Denmark)

    Holm, Anders; Breen, Richard

    2016-01-01

    This paper addresses the question of how students and their families make educational decisions. We describe three types of behavioral model that might underlie decision-making and we show that they have consequences for what decisions are made. Our study thus has policy implications if we wish...... to encourage students and their families to make better educational choices. We also establish the conditions under which empirical analysis can distinguish between the three sorts of decision-making and we illustrate our arguments using data from the National Educational Longitudinal Study....

  5. Perceived enjoyment, concentration, intention, and speed violation behavior: Using flow theory and theory of planned behavior.

    Science.gov (United States)

    Atombo, Charles; Wu, Chaozhong; Zhang, Hui; Wemegah, Tina D

    2017-10-03

    Road accidents are an important public health concern, and speeding is a major contributor. Although flow theory (FLT) is a valid model for understanding behavior, currently the nature of the roles and interplay of FLT constructs within the theory of planned behavior (TPB) framework when attempting to explain the determinants of motivations for intention to speed and speeding behavior of car drivers is not yet known. The study aims to synthesize TPB and FLT in explaining drivers of advanced vehicles intentions to speed and speed violation behaviors and evaluate factors that are critical for explaining intention and behavior. The hypothesized model was validated using a sample collected from 354 fully licensed drivers of advanced vehicles, involving 278 males and 76 females on 2 occasions separated by a 3-month interval. During the first of the 2 occasions, participants completed questionnaire measures of TPB and FLT variables. Three months later, participants' speed violation behaviors were assessed. The study observed a significant positive relationship between the constructs. The proposed model accounted for 51 and 45% of the variance in intention to speed and speed violation behavior, respectively. The independent predictors of intention were enjoyment, attitude, and subjective norm. The independent predictors of speed violation behavior were enjoyment, concentration, intention, and perceived behavioral control. The findings suggest that safety interventions for preventing speed violation behaviors should be aimed at underlying beliefs influencing the speeding behaviors of drivers of advanced vehicles. Furthermore, perceived enjoyment is of equal importance to driver's intention, influencing speed violation behavior.

  6. Negative affect and drinking drivers: a review and conceptual model linking dissonance, efficacy and negative affect to risk and motivation for change.

    Science.gov (United States)

    Wells-Parker, Elisabeth; Mann, Robert E; Dill, Patricia L; Stoduto, Gina; Shuggi, Rania; Cross, Ginger W

    2009-05-01

    This review summarizes evidence on negative affect among drinking drivers. Elevations in negative affect, including depressed mood, anxiety and hostility, have long been noted in convicted drinking drivers, and recent evidence suggests an association between negative affect and driving after drinking in the general population. Previous efforts to understand the significance of this negative affective state have ranged from suggestions that it may play a causal role in drinking driving to suggestions that it may interfere with response to treatment and remedial interventions. Recent studies have uncovered an important paradox involving negative affect among convicted drinking drivers (hereafter DUI offenders). DUI offenders with high levels of negative affect recidivated more frequently following a DUI program than did those reporting no or minimal negative affect. However, when a brief supportive motivational intervention was added to the program, offenders with high negative affect levels showed lower recidivism rates than did those with no or minimal negative affect. The review includes studies from the general literature on alcohol treatment in which the same negative affect paradox was reported. In an attempt to understand this paradox, we present a conceptual model involving well-established psychological processes, with a focus on salient discrepancy, the crucial component of cognitive dissonance. In this model, negative affect plays an important role in motivating both continued high-risk drinking as well as therapeutic change. This model suggests that links between motivational states and negative affective processes may be more complex than previously thought. Implications for intervention with DUI offenders are discussed.

  7. Inovação & propriedade intelectual: panorama dos agentes motores de desenvolvimento e inovação Innovation & intellectual property: behavior of innovation and development drivers

    Directory of Open Access Journals (Sweden)

    Flávio Pietrobon-Costa

    2012-01-01

    producers, and innovation property agents. Indicators of economic growth, scientific production, and innovation generation of Brazil and Bahia State were analyzed investigating their relationships and observing, by time series, the behavior of drivers of development and innovation and their influences. It was found that that these three actors (or agents are interdependent and interactive. For a substantial investment in scientific research and intellectual property, the economic producers must be growth-oriented to achieve strong competitive advantage. For a sustainable development of human society, a simultaneous investment in scientific research, technology, and innovations is needed with continuous active support of innovation agents.

  8. 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.

  9. Accounting for the Uncertainty Related to Building Occupants with Regards to Visual Comfort: A Literature Survey on Drivers and Models

    Directory of Open Access Journals (Sweden)

    Valentina Fabi

    2016-02-01

    Full Text Available The interactions between building occupants and control systems have a high influence on energy consumption and on indoor environmental quality. In the perspective of a future of “nearly-zero” energy buildings, it is crucial to analyse the energy-related interactions deeply to predict realistic energy use during the design stage. Since the reaction to thermal, acoustic, or visual stimuli is not the same for every human being, monitoring the behaviour inside buildings is an essential step to assert differences in energy consumption related to different interactions. Reliable information concerning occupants’ behaviours in a building could contribute to a better evaluation of building energy performances and design robustness, as well as supporting the development of occupants’ education to energy awareness. The present literature survey enlarges our understanding of which environmental conditions influence occupants’ manual controlling of the system in offices and by consequence the energy consumption. The purpose of this study was to investigate the possible drivers for light-switching to model occupant behaviour in office buildings. The probability of switching lighting systems on or off was related to the occupancy and differentiated for arrival, intermediate, and departure periods. The switching probability has been reported to be higher during the entering or the leaving time in relation to contextual variables. In the analysis of switch-on actions, users were often clustered between those who take daylight level into account and switch on lights only if necessary and people who totally disregard the natural lighting. This underlines the importance of how individuality is at the base of the definition of the different types of users.

  10. Study the epidemiological profile of taxi drivers in the background of occupational environment, stress and personality characteristics.

    Science.gov (United States)

    Bawa, Mukesh Suresh; Srivastav, Manissha

    2013-09-01

    Work hazards have been a major cause of concern in driving industry especially in taxi drivers. This study integrates the various factors that influence physical and emotional well-being of taxi drivers into the theoretical model that shows that the work environment, stress and personality characteristics directly influence taxi drivers' health. The aim of the following study is to study the relative and combined influence of work environment, personality characteristics and stress on the health of taxi drivers. [corrected] The present study is cross-sectional (descriptive) study taxi drivers in Mumbai. They are selected using multistage random sampling method. Calculated sample size is 508. Data produced after the survey is analyzed using IBM SPSS 16.0 software. Nearly 65% of taxi drivers belonged to middle-age group of 21-40 years of age. Majority (59%) of taxi drivers belonged to the lower upper socio-economic class. 70% of taxi drivers worked for more than 8 h daily. 63% gave the history of one or more addictions. 52% taxi drivers had type B1 personality, only 6% had stress prone and aggressive type A1 personality. Traffic congestion (67.1%) was reported as the leading stressor followed by narrow bottle neck roads (43%), too many speed breakers (41%), rude gestures and behavior by other drivers (42%) and bad weather (36%). Nearly 86% taxi drivers had one or more symptoms of morbidities. Gastrointestinal symptoms predominated followed by musculoskeletal symptoms and depression. Socio-demographic attributes, work environment, stress and personality significantly influence physical and psychological morbidities in taxi drivers.

  11. Behavioral optimization models for multicriteria portfolio selection

    Directory of Open Access Journals (Sweden)

    Mehlawat Mukesh Kumar

    2013-01-01

    Full Text Available In this paper, behavioral construct of suitability is used to develop a multicriteria decision making framework for portfolio selection. To achieve this purpose, we rely on multiple methodologies. Analytical hierarchy process technique is used to model the suitability considerations with a view to obtaining the suitability performance score in respect of each asset. A fuzzy multiple criteria decision making method is used to obtain the financial quality score of each asset based upon investor's rating on the financial criteria. Two optimization models are developed for optimal asset allocation considering simultaneously financial and suitability criteria. An empirical study is conducted on randomly selected assets from National Stock Exchange, Mumbai, India to demonstrate the effectiveness of the proposed methodology.

  12. User behavioral model in hypertext environment

    Science.gov (United States)

    Moskvin, Oleksii M.; Sailarbek, Saltanat; Gromaszek, Konrad

    2015-12-01

    There is an important role of the users that are traversing Internet resources and their activities which, according to the practice, aren't usually considered by the Internet resource owners so to adjust and optimize hypertext structure. Optimal hypertext structure allows users to locate pages of interest, which are the goals of the informational search, in a faster way. Paper presents a model that conducts user auditory behavior analysis in order to figure out their goals in particular hypertext segment and allows finding out optimal routes for reaching those goals in terms of the routes length and informational value. Potential application of the proposed model is mostly the systems that evaluate hypertext networks and optimize their referential structure for faster information retrieval.

  13. Deriving Framework Usages Based on Behavioral Models

    Science.gov (United States)

    Zenmyo, Teruyoshi; Kobayashi, Takashi; Saeki, Motoshi

    One of the critical issue in framework-based software development is a huge introduction cost caused by technical gap between developers and users of frameworks. This paper proposes a technique for deriving framework usages to implement a given requirements specification. By using the derived usages, the users can use the frameworks without understanding the framework in detail. Requirements specifications which describe definite behavioral requirements cannot be related to frameworks in as-is since the frameworks do not have definite control structure so that the users can customize them to suit given requirements specifications. To cope with this issue, a new technique based on satisfiability problems (SAT) is employed to derive the control structures of the framework model. In the proposed technique, requirements specifications and frameworks are modeled based on Labeled Transition Systems (LTSs) with branch conditions represented by predicates. Truth assignments of the branch conditions in the framework models are not given initially for representing the customizable control structure. The derivation of truth assignments of the branch conditions is regarded as the SAT by assuming relations between termination states of the requirements specification model and ones of the framework model. This derivation technique is incorporated into a technique we have proposed previously for relating actions of requirements specifications to ones of frameworks. Furthermore, this paper discuss a case study of typical use cases in e-commerce systems.

  14. German taxi drivers' experiences and expressions of driving anger: Are the driving anger scale and the driving anger expression inventory valid measures?

    Science.gov (United States)

    Brandenburg, Stefan; Oehl, Michael; Seigies, Kristin

    2017-05-19

    The objective of this article was 2-fold: firstly, we wanted to examine whether the original Driving Anger Scale (DAS) and the original Driving Anger Expression Inventory (DAX) apply to German professional taxi drivers because these scales have previously been given to professional and particularly to nonprofessional drivers in different countries. Secondly, we wanted to examine possible differences in driving anger experience and expression between professional German taxi drivers and nonprofessional German drivers. We applied German versions of the DAS, the DAX, and the State-Trait Anger Expression Inventory (STAXI) to a sample of 138 professional German taxi drivers. We then compared their ratings to the ratings of a sample of 1,136 nonprofessional German drivers (Oehl and Brandenburg n.d. ). Regarding our first objective, confirmatory factor analysis shows that the model fit of the DAS is better for nonprofessional drivers than for professional drivers. The DAX applies neither to professional nor to nonprofessional German drivers properly. Consequently, we suggest modified shorter versions of both scales for professional drivers. The STAXI applies to both professional and nonprofessional drivers. With respect to our second objective, we show that professional drivers experience significantly less driving anger than nonprofessional drivers, but they express more driving anger. We conclude that the STAXI can be applied to professional German taxi drivers. In contrast, for the DAS and the DAX we found particular shorter versions for professional taxi drivers. Especially for the DAX, most statements were too strong for German drivers to agree to. They do not show behaviors related to driving anger expression as they are described in the DAX. These problems with the original American DAX items are in line with several other studies in different countries. Future investigations should examine whether (professional) drivers from further countries express their anger

  15. Generalised additive models to investigate environmental drivers of Antarctic minke whale (Balaenoptera bonaerensis) spatial density in austral summer

    NARCIS (Netherlands)

    Beekmans, Bas W.P.M.; Forcada, Jaume; Murphy, Eugene J.; Baar, de Hein J.W.; Bathmann, Ulrich V.; Fleming, Andrew H.

    2010-01-01

    There is a need to characterise the physical environment associated with Antarctic minke whale density in order to understand long-term changes in minke whale distribution and density in open waters of the Southern Ocean during austral summer months. To investigate environmental drivers of Antarctic

  16. Generalised additive models to investigate environmental drivers of Antarctic minke whale (Balaenoptera bonaerensis) spatial density in austral summer

    NARCIS (Netherlands)

    Beekmans, Bas W.P.M.; Forcada, Jaume; Murphy, Eugene J.; Baar, de Hein J.W.; Bathmann, Ulrich V.; Fleming, Andrew H.

    2010-01-01

    There is a need to characterise the physical environment associated with Antarctic minke whale density in order to understand long-term changes in minke whale distribution and density in open waters of the Southern Ocean during austral summer months. To investigate environmental drivers of Antarctic

  17. A Model of Resurgence Based on Behavioral Momentum Theory

    OpenAIRE

    Shahan, Timothy A; Sweeney, Mary M.

    2011-01-01

    Resurgence is the reappearance of an extinguished behavior when an alternative behavior reinforced during extinction is subsequently placed on extinction. Resurgence is of particular interest because it may be a source of relapse to problem behavior following treatments involving alternative reinforcement. In this article we develop a quantitative model of resurgence based on the augmented model of extinction provided by behavioral momentum theory. The model suggests that alternative reinforc...

  18. Streamlined Modeling for Characterizing Spacecraft Anomalous Behavior

    Science.gov (United States)

    Klem, B.; Swann, D.

    2011-09-01

    Anomalous behavior of on-orbit spacecraft can often be detected using passive, remote sensors which measure electro-optical signatures that vary in time and spectral content. Analysts responsible for assessing spacecraft operational status and detecting detrimental anomalies using non-resolved imaging sensors are often presented with various sensing and identification issues. Modeling and measuring spacecraft self emission and reflected radiant intensity when the radiation patterns exhibit a time varying reflective glint superimposed on an underlying diffuse signal contribute to assessment of spacecraft behavior in two ways: (1) providing information on body component orientation and attitude; and, (2) detecting changes in surface material properties due to the space environment. Simple convex and cube-shaped spacecraft, designed to operate without protruding solar panel appendages, may require an enhanced level of preflight characterization to support interpretation of the various physical effects observed during on-orbit monitoring. This paper describes selected portions of the signature database generated using streamlined signature modeling and simulations of basic geometry shapes apparent to non-imaging sensors. With this database, summarization of key observable features for such shapes as spheres, cylinders, flat plates, cones, and cubes in specific spectral bands that include the visible, mid wave, and long wave infrared provide the analyst with input to the decision process algorithms contained in the overall sensing and identification architectures. The models typically utilize baseline materials such as Kapton, paints, aluminum surface end plates, and radiators, along with solar cell representations covering the cylindrical and side portions of the spacecraft. Multiple space and ground-based sensors are assumed to be located at key locations to describe the comprehensive multi-viewing aspect scenarios that can result in significant specular reflection

  19. Resolving key drivers of variability through an important circulation choke point in the western Mediterranean Sea; using gliders, models & satellite remote sensing

    Science.gov (United States)

    Heslop, Emma; Aguiar, Eva; Mourre, Baptiste; Juza, Mélanie; Escudier, Romain; Tintoré, Joaquín

    2017-04-01

    The Ibiza Channel plays an important role in the circulation of the Western Mediterranean Sea, it governs the north/south exchange of different water masses that are known to affect regional ecosystems and is influenced by variability in the different drivers that affect sub-basins to the north (N) and south (S). A complex system. In this study we use a multi-platform approach to resolve the key drivers of this variability, and gain insight into the inter-connection between the N and S of the Western Mediterranean Sea through this choke point. The 6-year glider time series from the quasi-continuous glider endurance line monitoring of the Ibiza Channel, undertaken by SOCIB (Balearic Coastal Ocean observing and Forecasting System), is used as the base from which to identify key sub-seasonal to inter-annual patterns and shifts in water mass properties and transport volumes. The glider data indicates the following key components in the variability of the N/S flow of different water mass through the channel; regional winter mode water production, change in intermediate water mass properties, northward flows of a fresher water mass and the basin-scale circulation. To resolve the drivers of these components of variability, the strength of combining datasets from different sources, glider, modeling, altimetry and moorings, is harnessed. To the north atmospheric forcing in the Gulf of Lions is a dominant driver, while to the south the mesoscale circulation patterns of the Atlantic Jet and Alboran gyres dominate the variability but do not appear to influence the fresher inflows. Evidence of a connection between the northern and southern sub-basins is however indicated. The study highlights importance of sub-seasonal variability and the scale of rapid change possible in the Mediterranean, as well as the benefits of leveraging high resolution glider datasets within a multi-platform and modelling study.

  20. Parents' and peers' contribution to risky driving of male teen drivers.

    Science.gov (United States)

    Taubman - Ben-Ari, Orit; Kaplan, Sigal; Lotan, Tsippy; Prato, Carlo Giacomo

    2015-05-01

    The current study joins efforts devoted to understanding the associations of parents' personality, attitude, and behavior, and to evaluating the added contribution of peers to the driving behavior of young drivers during their solo driving. The study combines data gathered using in-vehicle data recorders from actual driving of parents and their male teen driver with data collected from self-report questionnaires completed by the young drivers. The sample consists of 121 families, who participated in the study for 12 months, beginning with the licensure of the teen driver. The current examination concentrates on the last 3 months of this first year of driving. The experimental design was based on a random control assignment into three treatment groups (with different forms of feedback) and a control group (with no feedback). Findings indicate that the parents' (especially the fathers') sensation seeking, anxiety, and aggression, as well as their risky driving events rate were positively associated with higher risky driving of the young driver. In addition, parents' involvement in the intervention, either by feedback or by training, led to lower risky driving events rate of young drivers compared to the control group. Finally, higher cohesion and adaptability mitigated parents' model for risky driving, and peers norms' of risky driving were associated with higher risk by the teen drivers. We conclude by claiming that there is an unequivocal need to look at a full and complex set of antecedents in parents' personality, attitudes, and behavior, together with the contribution of peers to the young drivers' reckless driving, and address the practical implications for road safety. Copyright © 2015 Elsevier Ltd. All rights reserved.

  1. Precise Characterization of a Laser Current Driver

    Science.gov (United States)

    Troxel, Daylin

    2009-10-01

    I will be presenting a characterization of our unique low-noise laser current driver. Our current driver improves on the typical model used in laboratories, giving extra current stability and lower noise. I will discuss our techniques for measuring the noise and drift and the results we obtained. The current driver has a lower noise and drift than any other current driver with a published value, so it has value in making precision measurements. Many other labs have expressed interest in our design as there is a need for this type of current driver in many applications. The current driver demonstrates some interesting applications of electronics principles and uses of electric components, as well as practical considerations in designing circuitry.

  2. Relationships of driving coping styles with driving behaviors and road accidents of drivers%汽车驾驶员应对方式与驾驶行为和事故的关系

    Institute of Scientific and Technical Information of China (English)

    李彦章; 贾杰; 尹莲; 唐勤

    2012-01-01

    目的 探讨驾驶员应对方式与驾驶行为、事故的关系.方法 采用简单随机抽样方法,抽取347名驾驶员进行应对方式问卷、驾驶行为问卷的调查.结果 (1)除回避性应对与驾驶行为相关不显著外,对抗性应对、情绪性应对与驾驶行为有显著正相关( r=0.18~0.56,P<0.01);积极评估应对与驾驶行为有显著负相关(r=-0.34~-0.41,P<0.01).(2)积极评估应对、对抗性应对和情绪性应对对错误行为和疏忽行为均有显著的预测作用,解释率分别为33.5%和23.5%.对抗性应对和积极评估应对对超速及违规行为有显著预测作用,解释率为40.2%.(3)在轻微事故和一般事故中,事故驾驶员和安全驾驶员均在对抗性应对上差异有统计学意义(t=-2.75;2.80,P<0.01).结论 驾驶员应对方式是影响驾驶行为和事故安全的重要因素.%Objective To explore the relationships of driving coping styles with driving behaviors and road accidents of drivers.Methods Three hundreds and thirty-seven drivers were randomly surveyed by Driving Coping Questionnaire ( DCQ),Driver Behavior Questionnaire (DBQ).Results ( 1 ) Except avoidance coping style,confrontive coping and emotion-focused coping were correlated positively with the three driving behaviors ( r =0.18 ~ 0.56,P < 0.01 ),and positive appraisal coping had negatively correlations with them (( r =-0.34 ~-0.41,P<0.01 ).(2)Positive appraisal coping,confrontive coping and emotion-focused coping could predict 33.5% of error behaviors and 23.5% of slip behaviors.And confrontive coping and positive appraisal coping could predict 40.2% of speeding and violation behaviors.(3) Compared with safety drivers,accident drivers had significantly differences in confrontive coping in mild and moderate crashes( t=-2.75,2.80,P< 0.01 ).Conclusion Driving coping styles are the important factors influencing drivers' behaviors and road safety.

  3. Swarming behavior of simple model squirmers

    Energy Technology Data Exchange (ETDEWEB)

    Thutupalli, Shashi; Seemann, Ralf; Herminghaus, Stephan, E-mail: shashi.thutupalli@ds.mpg.de, E-mail: stephan.herminghaus@ds.mpg.de [Max Planck Institute for Dynamics and Self-Organization, Bunsenstrasse 10, 37073 Goettingen (Germany)

    2011-07-15

    We have studied experimentally the collective behavior of self-propelling liquid droplets, which closely mimic the locomotion of some protozoal organisms, the so-called squirmers. For the sake of simplicity, we concentrate on quasi-two-dimensional (2D) settings, although our swimmers provide a fully 3D propulsion scheme. At an areal density of 0.46, we find strong polar correlation of the locomotion velocities of neighboring droplets, which decays over less than one droplet diameter. When the areal density is increased to 0.78, distinct peaks show up in the angular correlation function, which point to the formation of ordered rafts. This shows that pronounced textures, beyond what has been seen in simulations so far, may show up in crowds of simple model squirmers, despite the simplicity of their (purely physical) mutual interaction.

  4. Modeling Human Behavior to Anticipate Insider Attacks

    Energy Technology Data Exchange (ETDEWEB)

    Greitzer, Frank L.; Hohimer, Ryan E.

    2011-06-09

    The insider threat ranks among the most pressing cybersecurity challenges that threaten government and industry information infrastructures. To date, no systematic methods have been developed that provide a complete and effective approach to prevent data leakage, espionage and sabotage. Current practice is forensic in nature, relegating to the analyst the bulk of the responsibility to monitor, analyze, and correlate an overwhelming amount of data. We describe a predictive modeling framework that integrates a diverse set of data sources from the cyber domain as well as inferred psychological/motivational factors that may underlie malicious insider exploits. This comprehensive threat assessment approach provides automated support for the detection of high-risk behavioral “triggers” to help focus the analyst’s attention and inform the analysis. Designed to be domain independent, the system may be applied to many different threat and warning analysis/sensemaking problems.

  5. Modeling Human Behavior to Anticipate Insider Attacks

    Directory of Open Access Journals (Sweden)

    Ryan E Hohimer

    2011-01-01

    Full Text Available The insider threat ranks among the most pressing cyber-security challenges that threaten government and industry information infrastructures. To date, no systematic methods have been developed that provide a complete and effective approach to prevent data leakage, espionage, and sabotage. Current practice is forensic in nature, relegating to the analyst the bulk of the responsibility to monitor, analyze, and correlate an overwhelming amount of data. We describe a predictive modeling framework that integrates a diverse set of data sources from the cyber domain, as well as inferred psychological/motivational factors that may underlie malicious insider exploits. This comprehensive threat assessment approach provides automated support for the detection of high-risk behavioral "triggers" to help focus the analyst's attention and inform the analysis. Designed to be domain-independent, the system may be applied to many different threat and warning analysis/sense-making problems.

  6. 基于介入型实验的机动车驾驶员"抢行"行为研究%A Study of Drivers' Scrambling Behaviors Based on Interventional Experiment

    Institute of Scientific and Technical Information of China (English)

    石京; 陶立; 芦杰

    2011-01-01

    机动车驾驶员的"抢行"行为是我国交通事故的主要原因之一.探究驾驶员对行人的"抢行"行为现状与特征,设计了介入型实验,通过介入型实验全程录像观测和固定点非介入型观测,记录车辆"抢行"数据以及相应行人过街行为特征.根据录像观测中的行人过街特征将机动车的"抢行"进行分类,提出"抢行"的严重程度定义.对于介入型实验,读取车辆在封闭路线内发生"抢行"行为频数及严重程度,得到抢行参数,再根据问卷回答进行相关分析,寻找相关程度较高的因素.结果表明,机动车经过人行横道的"抢行"行为普遍存在,女性驾驶员记录到了更多的严重"抢行"行为,驾龄超过10 a的实验者记录到的"抢行"行为最少.%Drivers’ scrambling behaviors are one of the major reasons of traffic accidents in China.This study aims at exploring the interactive features of drivers’scrambling behaviors with pedestrians.In this study, an interventional experiment was designed.Both interventional video monitoring and non-interventional fixed-point monitoring were used.Drivers’ scrambling behaviors and the corresponding pedestrians’ crossing behaviors were recorded.Based on the characteristics of pedestrians' crossing behaviors, drivers’ scrambling behaviors were classified and the degree of the severity of scrambling behaviors was defined.In the interventional experiment, the frequencies and severity of the participants’ scrambling behaviors were recorded and the parameters of scrambling behaviors were obtained.Correlation analysis between the questionnaire information and scrambling behaviors indicates that drivers’ scrambling behaviors over pedestrian crossings are very common.Female drivers are recorded more severe scrambling behaviors and drivers with driving experience of more than ten years are recorded the least scrambling behaviors.

  7. Behaviorally Modeling Games of Strategy Using Descriptive Q-learning

    Science.gov (United States)

    2013-01-01

    REPORT Behaviorally Modeling Games of Strategy Using Descriptive Q-learning 14. ABSTRACT 16. SECURITY CLASSIFICATION OF: Modeling human decision making... Games of Strategy Using Descriptive Q-learning Report Title ABSTRACT Modeling human decision making in strategic problem domains is challenging with...an unknown automated opponent. Behaviorally Modeling Games of Strategy Using Descriptive Q-learning Roi Ceren Department of Computer Science

  8. 77 FR 24764 - Visual-Manual NHTSA Driver Distraction Guidelines for In-Vehicle Electronic Devices

    Science.gov (United States)

    2012-04-25

    ... National Highway Traffic Safety Administration Visual-Manual NHTSA Driver Distraction Guidelines for In... vehicle safely and that are operated by the driver through visual-manual means (meaning ] the driver...--Simulator and Test Track Studies; Driver Eye Glance Behavior During Visual-Manual Secondary Task...

  9. Transtheoretical Model of Health Behavior Change Applied to Voice Therapy

    OpenAIRE

    2007-01-01

    Studies of patient adherence to health behavior programs, such as physical exercise, smoking cessation, and diet, have resulted in the formulation and validation of the Transtheoretical Model (TTM) of behavior change. Although widely accepted as a guide for the development of health behavior interventions, this model has not been applied to vocal rehabilitation. Because resolution of vocal difficulties frequently depends on a patient’s ability to make changes in vocal and health behaviors, th...

  10. Traffic Games: Modeling Freeway Traffic with Game Theory

    Science.gov (United States)

    Cortés-Berrueco, Luis E.; Gershenson, Carlos; Stephens, Christopher R.

    2016-01-01

    We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused by driver-driver interactions. To achieve this goal, a game-theoretic description of driver interaction was developed. This game-theoretic formalization allows one to model different lane-changing behaviors and to keep track of mobility performance. We simulate the evolution of cooperation, traffic flow, and mobility performance for different modeled behaviors. The analysis of these results indicates a mobility optimization process achieved by drivers’ interactions. PMID:27855176

  11. 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.

  12. A refined cellular automaton model to rectify impractical vehicular movement behavior

    Science.gov (United States)

    Lan, Lawrence W.; Chiou, Yu-Chiun; Lin, Zih-Shin; Hsu, Chih-Cheng

    2009-09-01

    When implementing cellular automata (CA) into a traffic simulation, one common defect yet to be rectified is the abrupt deceleration when vehicles encounter stationary obstacles or traffic jams. To be more in line with real world vehicular movement, this paper proposes a piecewise-linear movement to replace the conventional particle-hopping movement adopted in most previous CA models. Upon this adjustment and coupled with refined cell system, a new CA model is developed using the rationale of Forbes’ et al. car-following concept. The proposed CA model is validated on a two-lane freeway mainline context. It shows that this model can fix the unrealistic deceleration behaviors, and thus can reflect genuine driver behavior in the real world. The model is also capable of revealing Kerner’s three-phase traffic patterns and phase transitions among them. Furthermore, the proposed CA model is applied to simulate a highway work zone wherein traffic efficiency (maximum flow rates) and safety (speed deviations) impacted by various control schemes are tested.

  13. Technology and teen drivers.

    Science.gov (United States)

    Lee, John D

    2007-01-01

    The rapid evolution of computing, communication, and sensor technology is likely to affect young drivers more than others. The distraction potential of infotainment technology stresses the same vulnerabilities that already lead young drivers to crash more frequently than other drivers. Cell phones, text messaging, MP3 players, and other nomadic devices all present a threat because young drivers may lack the spare attentional capacity for vehicle control and the ability to anticipate and manage hazards. Moreover, young drivers are likely to be the first and most aggressive users of new technology. Fortunately, emerging technology can also support safe driving. Electronic stability control, collision avoidance systems, intelligent speed adaptation, and vehicle tracking systems can all help mitigate the threats to young drivers. However, technology alone is unlikely to make young drivers safer. One promising approach to tailoring technology to teen drivers is to extend proven methods for enhancing young driver safety. The success of graduated drivers license programs (GDL) and the impressive safety benefit of supervised driving suggest ways of tailoring technology to the needs of young drivers. To anticipate the effects of technology on teen driving it may be useful to draw an analogy between the effects of passengers and the effects of technology. Technology can act as a teen passenger and undermine safety or it can act as an adult passenger and enhance safety. Rapidly developing technology may have particularly large effects on teen drivers. To maximize the positive effects and minimize the negative effects will require a broad range of industries to work together. Ideally, vehicle manufacturers would work with infotainment providers, insurance companies, and policy makers to craft new technologies so that they accommodate the needs of young drivers. Without such collaboration young drivers will face even greater challenges to their safety as new technologies emerge.

  14. Key drivers of airline loyalty

    Science.gov (United States)

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

    2011-01-01

    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. PMID:27064618

  15. 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.

  16. Study the epidemiological profile of taxi drivers in the background of occupational environment, stress and personality characteristics

    Directory of Open Access Journals (Sweden)

    Mukesh Suresh Bawa

    2013-01-01

    Full Text Available Background: Work hazards have been a major cause of concern in driving industry especially in taxi drivers. This study integrates the various factors that influence physical and emotional well-being of taxi drivers into the theoretical model that shows that the work environment, stress and personality characteristics directly influence taxi drivers′ health. Objective: The aim of the following study is to study the relative and combined influence of work environment, personality characteristics and stress on the health of taxi drivers. Meterials and Methods: The present study is cross-sectional (descriptive study taxi drivers in Mumbai. They are selected using multistage random sampling method. Calculated sample size is 508. Data produced after the survey is analyzed using IBM SPSS 16.0 software. Results: Nearly 65% of taxi drivers belonged to middle-age group of 21-40 years of age. Majority (59% of taxi drivers belonged to the lower upper socio-economic class. 70% of taxi drivers worked for more than 8 h daily. 63% gave the history of one or more addictions. 52% taxi drivers had type B1 personality, only 6% had stress prone and aggressive type A1 personality. Traffic congestion (67.1% was reported as the leading stressor followed by narrow bottle neck roads (43%, too many speed breakers (41%, rude gestures and behavior by other drivers (42% and bad weather (36%. Nearly 86% taxi drivers had one or more symptoms of morbidities. Gastrointestinal symptoms predominated followed by musculoskeletal symptoms and depression. Conclusion: Socio-demographic attributes, work environment, stress and personality significantly influence physical and psychological morbidities in taxi drivers.

  17. Driver behaviour at roadworks.

    Science.gov (United States)

    Walker, Guy; Calvert, Malcolm

    2015-11-01

    There is an incompatibility between how transport engineers think drivers behave in roadworks and how they actually behave. As a result of this incompatibility we are losing approximately a lane's worth of capacity in addition to those closed by the roadworks themselves. The problem would have little significance were it not for the fact a lane of motorway costs approx. £30 m per mile to construct and £43 k a year to maintain, and that many more roadworks are planned as infrastructure constructed 40 or 50 years previously reaches a critical stage in its lifecycle. Given current traffic volumes, and the sensitivity of road networks to congestion, the effects of roadworks need to be accurately assessed. To do this requires a new ergonomic approach. A large-scale observational study of real traffic conditions was used to identify the issues and impacts, which were then mapped to the ergonomic knowledge-base on driver behaviour, and combined to developed practical guidelines to help in modelling future roadworks scenarios with greater behavioural accuracy. Also stemming from the work are novel directions for the future ergonomic design of roadworks themselves.

  18. Drivers for Welfare Innovation

    DEFF Research Database (Denmark)

    Wegener, Charlotte

    2015-01-01

    Innovation has become a key goal towards which teaching and workplace learning needs to be directed. Now perceived as germane and even necessary in almost all kinds of welfare work, the innovation potential in everyday practices and ways of allowing for employer creativity have become a highly...... on the empirical material, the paper proposes a ‘driver’ model for context sensitive research of innovation in welfare workplaces. The model involves three elements which can be regarded as drivers for innovation: i) craft (i.e. professional skills and knowledge), ii) levers (i.e. experiments and adjustment...... that are not necessarily perceived, performed, and changed in phases. A pragmatic and situated perspective on welfare innovation suggests a conception of welfare innovation which is not translated from firm innovation, but derived directly from welfare contexts....

  19. Computer simulation modeling of abnormal behavior: a program approach.

    Science.gov (United States)

    Reilly, K D; Freese, M R; Rowe, P B

    1984-07-01

    A need for modeling abnormal behavior on a comprehensive, systematic basis exists. Computer modeling and simulation tools offer especially good opportunities to establish such a program of studies. Issues concern deciding which modeling tools to use, how to relate models to behavioral data, what level of modeling to employ, and how to articulate theory to facilitate such modeling. Four levels or types of modeling, two qualitative and two quantitative, are identified. Their properties are examined and interrelated to include illustrative applications to the study of abnormal behavior, with an emphasis on schizophrenia.

  20. Cognitive-Operative Model of Intelligent Learning Systems Behavior

    Science.gov (United States)

    Laureano-Cruces, Ana Lilia; Ramirez-Rodriguez, Javier; Mora-Torres, Martha; de Arriaga, Fernando; Escarela-Perez, Rafael

    2010-01-01

    In this paper behavior during the teaching-learning process is modeled by means of a fuzzy cognitive map. The elements used to model such behavior are part of a generic didactic model, which emphasizes the use of cognitive and operative strategies as part of the student-tutor interaction. Examples of possi