WorldWideScience

Sample records for modelled road traffic

  1. A queuing model for road traffic simulation

    International Nuclear Information System (INIS)

    Guerrouahane, N.; Aissani, D.; Bouallouche-Medjkoune, L.; Farhi, N.

    2015-01-01

    We present in this article a stochastic queuing model for the raod traffic. The model is based on the M/G/c/c state dependent queuing model, and is inspired from the deterministic Godunov scheme for the road traffic simulation. We first propose a variant of M/G/c/c state dependent model that works with density-flow fundamental diagrams rather than density-speed relationships. We then extend this model in order to consider upstream traffic demand as well as downstream traffic supply. Finally, we show how to model a whole raod by concatenating raod sections as in the deterministic Godunov scheme

  2. Stochastic models for road traffic control

    NARCIS (Netherlands)

    Kovács, P.

    2016-01-01

    In this dissertation we make use of the theories of stochastic processes and operations research to develop models and methods to be applied for the analysis and control of road traffic networks. Within this field three subjects are considered: individual routing, urban traffic light networks and

  3. Modelling of road traffic fatalities in India.

    Science.gov (United States)

    Goel, Rahul

    2018-03-01

    Passenger modes in India include walking, cycling, buses, trains, intermediate public transport modes (IPT) such as three-wheeled auto rickshaws or tuk-tuks, motorised two-wheelers (2W) as well as cars. However, epidemiological studies of traffic crashes in India have been limited in their approach to account for the exposure of these road users. In 2011, for the first time, census in India reported travel distance and mode of travel for workers. A Poisson-lognormal mixture regression model is developed at the state level to explore the relationship of road deaths of all the road users with commute travel distance by different on-road modes. The model controlled for diesel consumption (proxy for freight traffic), length of national highways, proportion of population in urban areas, and built-up population density. The results show that walking, cycling and, interestingly, IPT are associated with lower risk of road deaths, while 2W, car and bus are associated with higher risk. Promotion of IPT has twofold benefits of increasing safety as well as providing a sustainable mode of transport. The mode shift scenarios show that, for similar mode shift across the states, the resulting trends in road deaths are highly dependent on the baseline mode shares. The most worrying trend is the steep growth of death burden resulting from mode shift of walking and cycling to 2W. While the paper illustrates a limited set of mode shift scenarios involving two modes at a time, the model can be applied to assess safety impacts resulting from a more complex set of scenarios. Copyright © 2018 The Author. Published by Elsevier Ltd.. All rights reserved.

  4. Road traffic noise: self-reported noise annoyance versus GIS modelled road traffic noise exposure.

    Science.gov (United States)

    Birk, Matthias; Ivina, Olga; von Klot, Stephanie; Babisch, Wolfgang; Heinrich, Joachim

    2011-11-01

    self-reported road traffic noise annoyance is commonly used in epidemiological studies for assessment of potential health effects. Alternatively, some studies have used geographic information system (GIS) modelled exposure to road traffic noise as an objective parameter. The aim of this study was to analyse the association between noise exposure due to neighbouring road traffic and the noise annoyance of adults, taking other determinants into consideration. parents of 951 Munich children from the two German birth cohorts GINIplus and LISAplus reported their annoyance due to road traffic noise at home. GIS modelled road traffic noise exposure (L(den), maximum within a 50 m buffer) from the noise map of the city of Munich was available for all families. GIS-based calculated distance to the closest major road (≥10,000 vehicles per day) and questionnaire based-information about family income, parental education and the type of the street of residence were explored for their potential influence. An ordered logit regression model was applied. The noise levels (L(den)) and the reported noise annoyance were compared with an established exposure-response function. the correlation between noise annoyance and noise exposure (L(den)) was fair (Spearman correlation r(s) = 0.37). The distance to a major road and the type of street were strong predictors for the noise annoyance. The annoyance modelled by the established exposure-response function and that estimated by the ordered logit model were moderately associated (Pearson's correlation r(p) = 0.50). road traffic noise annoyance was associated with GIS modelled neighbouring road traffic noise exposure (L(den)). The distance to a major road and the type of street were additional explanatory factors of the noise annoyance appraisal.

  5. Dispersion and emission modelling of traffic induced road dust

    OpenAIRE

    Berger, Janne

    2010-01-01

    This thesis is concerned with the evaluation and development of models related to the emissions and dispersion of traffic induced road dust. Road traffic is a highly important source of a range of pollutants having adverse health and environmental effects. Development of models describing traffic related emissions and dispersion of pollutants will in the end lead to robust models that well reproduce available air quality measurements. Furthermore, such models will aid the analysis of existing...

  6. Bayesian Data Assimilation for Improved Modeling of Road Traffic

    NARCIS (Netherlands)

    Van Hinsbergen, C.P.Y.

    2010-01-01

    This thesis deals with the optimal use of existing models that predict certain phenomena of the road traffic system. Such models are extensively used in Advanced Traffic Information Systems (ATIS), Dynamic Traffic Management (DTM) or Model Predictive Control (MPC) approaches in order to improve the

  7. Modelling traffic flows with intelligent cars and intelligent roads

    NARCIS (Netherlands)

    van Arem, Bart; Tampere, Chris M.J.; Malone, Kerry

    2003-01-01

    This paper addresses the modeling of traffic flows with intelligent cars and intelligent roads. It will describe the modeling approach MIXIC and review the results for different ADA systems: Adaptive Cruise Control, a special lane for Intelligent Vehicles, cooperative following and external speed

  8. Traffic jam induced by a crosscut road in a traffic-flow model

    Science.gov (United States)

    Nagatani, Takashi; Seno, Tadachika

    1994-06-01

    A deterministic cellular automaton model is presented to simulate the traffic jam induced by a crosscut road in a two-dimensional traffic flow. The effect of a crosscut road on the traffic flow is investigated by the use of a computer simulation. The traffic jam appears when a shock (discontinuous interface of different car densities) is formed. The condition for shock formation is derived for car densities p y and p x of the crosscut road and its crossing streets. The phase diagram and the dependence of the traffic flow on the car densities are shown. Also, we study the shock structure and the scaling of its width. The width Δ w of the shock scales with the system size L as Δ w ≈ L{1}/{2}. We present a self-consistent mean-field theory for the traffic flow.

  9. Simulation of Road Traffic Applying Model-Driven Engineering

    Directory of Open Access Journals (Sweden)

    Alberto FERNÁNDEZ-ISABEL

    2016-05-01

    Full Text Available Road traffic is an important phenomenon in modern societies. The study of its different aspects in the multiple scenarios where it happens is relevant for a huge number of problems. At the same time, its scale and complexity make it hard to study. Traffic simulations can alleviate these difficulties, simplifying the scenarios to consider and controlling their variables. However, their development also presents difficulties. The main ones come from the need to integrate the way of working of researchers and developers from multiple fields. Model-Driven Engineering (MDE addresses these problems using Modelling Languages (MLs and semi-automatic transformations to organise and describe the development, from requirements to code. This paper presents a domain-specific MDE framework for simulations of road traffic. It comprises an extensible ML, support tools, and development guidelines. The ML adopts an agent-based approach, which is focused on the roles of individuals in road traffic and their decision-making. A case study shows the process to model a traffic theory with the ML, and how to specialise that specification for an existing target platform and its simulations. The results are the basis for comparison with related work.

  10. Measuring Traffic Correlations in Urban Road System Using Word Embedding Model

    Directory of Open Access Journals (Sweden)

    LIU Kang

    2017-12-01

    Full Text Available Good characterization of road traffic correlations among urban roads can help improve the traffic-related applications,such as traffic interpolation and short-term traffic forecasting. Previous studies model the traffic correlations between two roads by their spatial or topological distances. However,the distance-based methods neglect the spatio-temporal heterogeneity of traffic influence among roads. In this paper,we integrate GPS-enabled vehicle operating travel routes and word embedding techniques in Natural Language Processing (NLP domain to quantify traffic correlations of road segments in different time intervals. Firstly,the corresponding relationships between transportation elements (i.e.,road segments,travel routes and NLP terms (i.e.,words,documents are established. Secondly,the real-valued vectors of road segments are trained from massive travel routes using a word-embedding model called "Word2Vec". Thirdly,the traffic correlation between two roads is measured by the cosine similarity of their vectors. Finally,the results are evaluated using real traffic condition data. Results of a case study using a large-scale taxi trajectory dataset in Beijing show that:①road segments that have stronger traffic correlations are also more similar in their traffic conditions measured by roads' average travel speeds,proving that our approach is capable of quantifying road segment traffic correlations and detecting their spatial heterogeneity;②road segments' traffic correlations are stronger on workday rush hours and holidays than on weekends and workday non-rush hours,proving that our approach is capable of detecting temporal variations. Our approach and analysis provide methodological and theoretical basis for transportation related applications using NLP and machine learning models.

  11. Automatic 3D high-fidelity traffic interchange modeling using 2D road GIS data

    Science.gov (United States)

    Wang, Jie; Shen, Yuzhong

    2011-03-01

    3D road models are widely used in many computer applications such as racing games and driving simulations. However, almost all high-fidelity 3D road models were generated manually by professional artists at the expense of intensive labor. There are very few existing methods for automatically generating 3D high-fidelity road networks, especially for those existing in the real world. Real road network contains various elements such as road segments, road intersections and traffic interchanges. Among them, traffic interchanges present the most challenges to model due to their complexity and the lack of height information (vertical position) of traffic interchanges in existing road GIS data. This paper proposes a novel approach that can automatically produce 3D high-fidelity road network models, including traffic interchange models, from real 2D road GIS data that mainly contain road centerline information. The proposed method consists of several steps. The raw road GIS data are first preprocessed to extract road network topology, merge redundant links, and classify road types. Then overlapped points in the interchanges are detected and their elevations are determined based on a set of level estimation rules. Parametric representations of the road centerlines are then generated through link segmentation and fitting, and they have the advantages of arbitrary levels of detail with reduced memory usage. Finally a set of civil engineering rules for road design (e.g., cross slope, superelevation) are selected and used to generate realistic road surfaces. In addition to traffic interchange modeling, the proposed method also applies to other more general road elements. Preliminary results show that the proposed method is highly effective and useful in many applications.

  12. Development of Road Traffic Assignment and Assessment Sub-Model Applied in the Traffic Study ...

    Directory of Open Access Journals (Sweden)

    Dražen Topolnik

    2012-10-01

    Full Text Available The described sub-model is just one small segment of theTraffic Study of the City of Zagreb, in the development of whichnumerous foreign and national experts and institutions tookpart. After comprehensive collection and processing of inputdata, the traffic experts, using the software package "MVATRIPS" for the analysis and search for optimal solutions to theproblem of traffic system, provided the models of public urbantransit for the future.This paper describes the analysis and assessment of sub-models in road traffic assignment for the morning peak, afternoonpeak and average off-peak hours. The principles of assignmentprocedure have been described as well as the convergencetests. The following has been specified: the users categories,the public transit pre-load, and the passenger car unit(PC U. The key guideline in selecting the route is a generalisedformulation of costs presented in the paper. The procedures ofcalibration and the assessment of the finite model have alsobeen defined according to the screenline flows, link flows, andtravelling times. In the end, the summary is given of the basiccharacteristics of the finite travelling matrices.

  13. Assessing Road Traffic Expression

    Directory of Open Access Journals (Sweden)

    Fábio Silva

    2014-12-01

    Full Text Available Road traffic is a problem which is increasing in cities with large population. Unrelated to this fact the number of portable and wearable devices has also been increasing throughout the population of most countries. With this advent, the capacity to monitor and register data about people habits and locations as well as more complex data such as intensity and strength of movements has created an opportunity to contribute to the general wealth and comfort within these environments. Ambient Intelligence and Intelligent Decision Making processes can benefit from the knowledge gathered by these devices to improve decisions on everyday tasks such as deciding navigation routes by car, bicycle or other means of transportation and avoiding route perils. The concept of computational sustainability may also be applied to this problem. Current applications in this area demonstrate the usefulness of real time system that inform the user of certain conditions in the surrounding area. On the other hand, the approach presented in this work aims to describe models and approaches to automatically identify current states of traffic inside cities and use methods from computer science to improve overall comfort and the sustainability of road traffic both with the user and the environment in mind. Such objective is delivered by analyzing real time contributions from those mobile ubiquitous devices to identifying problematic situations and areas under a defined criteria that have significant influence towards a sustainable use of the road transport infrastructure.

  14. A new modelling approach for road traffic emissions: VERSIT+

    NARCIS (Netherlands)

    Smit, R.; Smokers, R.T.M.; Rabé, E.L.M.

    2007-01-01

    The objective of VERSIT+ LD is to predict traffic stream emissions for light-duty vehicles in any particular traffic situation. With respect to hot running emissions, VERSIT+ LD consists of a set of statistical models for detailed vehicle categories that have been constructed using multiple linear

  15. Forecasting mortality of road traffic injuries in China using seasonal autoregressive integrated moving average model.

    Science.gov (United States)

    Zhang, Xujun; Pang, Yuanyuan; Cui, Mengjing; Stallones, Lorann; Xiang, Huiyun

    2015-02-01

    Road traffic injuries have become a major public health problem in China. This study aimed to develop statistical models for predicting road traffic deaths and to analyze seasonality of deaths in China. A seasonal autoregressive integrated moving average (SARIMA) model was used to fit the data from 2000 to 2011. Akaike Information Criterion, Bayesian Information Criterion, and mean absolute percentage error were used to evaluate the constructed models. Autocorrelation function and partial autocorrelation function of residuals and Ljung-Box test were used to compare the goodness-of-fit between the different models. The SARIMA model was used to forecast monthly road traffic deaths in 2012. The seasonal pattern of road traffic mortality data was statistically significant in China. SARIMA (1, 1, 1) (0, 1, 1)12 model was the best fitting model among various candidate models; the Akaike Information Criterion, Bayesian Information Criterion, and mean absolute percentage error were -483.679, -475.053, and 4.937, respectively. Goodness-of-fit testing showed nonautocorrelations in the residuals of the model (Ljung-Box test, Q = 4.86, P = .993). The fitted deaths using the SARIMA (1, 1, 1) (0, 1, 1)12 model for years 2000 to 2011 closely followed the observed number of road traffic deaths for the same years. The predicted and observed deaths were also very close for 2012. This study suggests that accurate forecasting of road traffic death incidence is possible using SARIMA model. The SARIMA model applied to historical road traffic deaths data could provide important evidence of burden of road traffic injuries in China. Copyright © 2015 Elsevier Inc. All rights reserved.

  16. A multiclass vehicular dynamic traffic flow model for main roads and dedicated lanes/roads of multimodal transport network

    International Nuclear Information System (INIS)

    Sossoe, K.S.; Lebacque, J-P.

    2015-01-01

    We present in this paper a model of vehicular traffic flow for a multimodal transportation road network. We introduce the notion of class of vehicles to refer to vehicles of different transport modes. Our model describes the traffic on highways (which may contain several lanes) and network transit for pubic transportation. The model is drafted with Eulerian and Lagrangian coordinates and uses a Logit model to describe the traffic assignment of our multiclass vehicular flow description on shared roads. The paper also discusses traffic streams on dedicated lanes for specific class of vehicles with event-based traffic laws. An Euler-Lagrangian-remap scheme is introduced to numerically approximate the model’s flow equations

  17. Modelling the effects of road traffic safety measures.

    Science.gov (United States)

    Lu, Meng

    2006-05-01

    A model is presented for assessing the effects of traffic safety measures, based on a breakdown of the process in underlying components of traffic safety (risk and consequence), and five (speed and conflict related) variables that influence these components, and are influenced by traffic safety measures. The relationships between measures, variables and components are modelled as coefficients. The focus is on probabilities rather than historical statistics, although in practice statistics may be needed to find values for the coefficients. The model may in general contribute to improve insight in the mechanisms between traffic safety measures and their safety effects. More specifically it allows comparative analysis of different types of measures by defining an effectiveness index, based on the coefficients. This index can be used to estimate absolute effects of advanced driver assistance systems (ADAS) related measures from absolute effects of substitutional (in terms of safety effects) infrastructure measures.

  18. Forecasting Multivariate Road Traffic Flows Using Bayesian Dynamic Graphical Models, Splines and Other Traffic Variables

    NARCIS (Netherlands)

    Anacleto, Osvaldo; Queen, Catriona; Albers, Casper J.

    Traffic flow data are routinely collected for many networks worldwide. These invariably large data sets can be used as part of a traffic management system, for which good traffic flow forecasting models are crucial. The linear multiregression dynamic model (LMDM) has been shown to be promising for

  19. Transforming GIS data into functional road models for large-scale traffic simulation.

    Science.gov (United States)

    Wilkie, David; Sewall, Jason; Lin, Ming C

    2012-06-01

    There exists a vast amount of geographic information system (GIS) data that model road networks around the world as polylines with attributes. In this form, the data are insufficient for applications such as simulation and 3D visualization-tools which will grow in power and demand as sensor data become more pervasive and as governments try to optimize their existing physical infrastructure. In this paper, we propose an efficient method for enhancing a road map from a GIS database to create a geometrically and topologically consistent 3D model to be used in real-time traffic simulation, interactive visualization of virtual worlds, and autonomous vehicle navigation. The resulting representation provides important road features for traffic simulations, including ramps, highways, overpasses, legal merge zones, and intersections with arbitrary states, and it is independent of the simulation methodologies. We test the 3D models of road networks generated by our algorithm on real-time traffic simulation using both macroscopic and microscopic techniques.

  20. An empirical model to predict road dust emissions based on pavement and traffic characteristics.

    Science.gov (United States)

    Padoan, Elio; Ajmone-Marsan, Franco; Querol, Xavier; Amato, Fulvio

    2017-11-08

    The relative impact of non-exhaust sources (i.e. road dust, tire wear, road wear and brake wear particles) on urban air quality is increasing. Among them, road dust resuspension has generally the highest impact on PM concentrations but its spatio-temporal variability has been rarely studied and modeled. Some recent studies attempted to observe and describe the time-variability but, as it is driven by traffic and meteorology, uncertainty remains on the seasonality of emissions. The knowledge gap on spatial variability is much wider, as several factors have been pointed out as responsible for road dust build-up: pavement characteristics, traffic intensity and speed, fleet composition, proximity to traffic lights, but also the presence of external sources. However, no parameterization is available as a function of these variables. We investigated mobile road dust smaller than 10 μm (MF10) in two cities with different climatic and traffic conditions (Barcelona and Turin), to explore MF10 seasonal variability and the relationship between MF10 and site characteristics (pavement macrotexture, traffic intensity and proximity to braking zone). Moreover, we provide the first estimates of emission factors in the Po Valley both in summer and winter conditions. Our results showed a good inverse relationship between MF10 and macro-texture, traffic intensity and distance from the nearest braking zone. We also found a clear seasonal effect of road dust emissions, with higher emission in summer, likely due to the lower pavement moisture. These results allowed building a simple empirical mode, predicting maximal dust loadings and, consequently, emission potential, based on the aforementioned data. This model will need to be scaled for meteorological effect, using methods accounting for weather and pavement moisture. This can significantly improve bottom-up emission inventory for spatial allocation of emissions and air quality management, to select those roads with higher emissions

  1. Road traffic accidents prediction modelling: An analysis of Anambra State, Nigeria.

    Science.gov (United States)

    Ihueze, Chukwutoo C; Onwurah, Uchendu O

    2018-03-01

    One of the major problems in the world today is the rate of road traffic crashes and deaths on our roads. Majority of these deaths occur in low-and-middle income countries including Nigeria. This study analyzed road traffic crashes in Anambra State, Nigeria with the intention of developing accurate predictive models for forecasting crash frequency in the State using autoregressive integrated moving average (ARIMA) and autoregressive integrated moving average with explanatory variables (ARIMAX) modelling techniques. The result showed that ARIMAX model outperformed the ARIMA (1,1,1) model generated when their performances were compared using the lower Bayesian information criterion, mean absolute percentage error, root mean square error; and higher coefficient of determination (R-Squared) as accuracy measures. The findings of this study reveal that incorporating human, vehicle and environmental related factors in time series analysis of crash dataset produces a more robust predictive model than solely using aggregated crash count. This study contributes to the body of knowledge on road traffic safety and provides an approach to forecasting using many human, vehicle and environmental factors. The recommendations made in this study if applied will help in reducing the number of road traffic crashes in Nigeria. Copyright © 2017 Elsevier Ltd. All rights reserved.

  2. An epidemiological survey on road traffic crashes in Iran: application of the two logistic regression models.

    Science.gov (United States)

    Bakhtiyari, Mahmood; Mehmandar, Mohammad Reza; Mirbagheri, Babak; Hariri, Gholam Reza; Delpisheh, Ali; Soori, Hamid

    2014-01-01

    Risk factors of human-related traffic crashes are the most important and preventable challenges for community health due to their noteworthy burden in developing countries in particular. The present study aims to investigate the role of human risk factors of road traffic crashes in Iran. Through a cross-sectional study using the COM 114 data collection forms, the police records of almost 600,000 crashes occurred in 2010 are investigated. The binary logistic regression and proportional odds regression models are used. The odds ratio for each risk factor is calculated. These models are adjusted for known confounding factors including age, sex and driving time. The traffic crash reports of 537,688 men (90.8%) and 54,480 women (9.2%) are analysed. The mean age is 34.1 ± 14 years. Not maintaining eyes on the road (53.7%) and losing control of the vehicle (21.4%) are the main causes of drivers' deaths in traffic crashes within cities. Not maintaining eyes on the road is also the most frequent human risk factor for road traffic crashes out of cities. Sudden lane excursion (OR = 9.9, 95% CI: 8.2-11.9) and seat belt non-compliance (OR = 8.7, CI: 6.7-10.1), exceeding authorised speed (OR = 17.9, CI: 12.7-25.1) and exceeding safe speed (OR = 9.7, CI: 7.2-13.2) are the most significant human risk factors for traffic crashes in Iran. The high mortality rate of 39 people for every 100,000 population emphasises on the importance of traffic crashes in Iran. Considering the important role of human risk factors in traffic crashes, struggling efforts are required to control dangerous driving behaviours such as exceeding speed, illegal overtaking and not maintaining eyes on the road.

  3. Monitoring road traffic congestion using a macroscopic traffic model and a statistical monitoring scheme

    KAUST Repository

    Zeroual, Abdelhafid

    2017-08-19

    Monitoring vehicle traffic flow plays a central role in enhancing traffic management, transportation safety and cost savings. In this paper, we propose an innovative approach for detection of traffic congestion. Specifically, we combine the flexibility and simplicity of a piecewise switched linear (PWSL) macroscopic traffic model and the greater capacity of the exponentially-weighted moving average (EWMA) monitoring chart. Macroscopic models, which have few, easily calibrated parameters, are employed to describe a free traffic flow at the macroscopic level. Then, we apply the EWMA monitoring chart to the uncorrelated residuals obtained from the constructed PWSL model to detect congested situations. In this strategy, wavelet-based multiscale filtering of data has been used before the application of the EWMA scheme to improve further the robustness of this method to measurement noise and reduce the false alarms due to modeling errors. The performance of the PWSL-EWMA approach is successfully tested on traffic data from the three lane highway portion of the Interstate 210 (I-210) highway of the west of California and the four lane highway portion of the State Route 60 (SR60) highway from the east of California, provided by the Caltrans Performance Measurement System (PeMS). Results show the ability of the PWSL-EWMA approach to monitor vehicle traffic, confirming the promising application of this statistical tool to the supervision of traffic flow congestion.

  4. Proposal for the Use of a New Parameter in the Composite Road Traffic Model

    Science.gov (United States)

    Boroiu, A.; Tabacu, I.; Boroiu, A. A.; Neagu, E.; Vieru, I.

    2017-10-01

    Comparative analysis of the models used in the literature for the fundamental traffic diagram reveals that the improvement of these models can only be achieved by taking into account the vehicle tracking models. Given that it is of great interest to model the relation between density and speed, to identify the conditions in which maximum flow can be achieved with a high operating speed and safely. For the non-homogeneous traffic, met in our country due to the lack of highways, the model describing the minimum range of vehicles was developed based on the relation of the minimum distance between vehicles taking into account the difference between the vehicle braking modes. Finally it is explained the maximum volume of traffic according to a parameter that includes the decelerations of the two vehicles, which determined the proposed use of this new concept in road traffic theory. This has made it possible to conclude that in the case of non-homogeneous traffic the volume increases only to a certain speed value, then decreases, while in the case of homogeneous traffic the volume continues to increase to a limit value. The paper argues the necessity of using this new parameter for road traffic models.

  5. Time Headway Modelling of Motorcycle-Dominated Traffic to Analyse Traffic Safety Performance and Road Link Capacity of Single Carriageways

    Directory of Open Access Journals (Sweden)

    D. M. Priyantha Wedagama

    2017-04-01

    Full Text Available This study aims to develop time headway distribution models to analyse traffic safety performance and road link capacities for motorcycle-dominated traffic in Denpasar, Bali. Three road links selected as the case study are Jl. Hayam Wuruk, Jl.Hang Tuah, and Jl. Padma. Data analysis showed that between 55%-80% of motorists in Denpasar during morning and evening peak hours paid less attention to the safe distance with the vehicles in front. The study found that Lognormal distribution models are best to fit time headway data during morning peak hours while either Weibull (3P or Pearson III distributions is for evening peak hours. Road link capacities for mixed traffic predominantly motorcycles are apparently affected by the behaviour of motorists in keeping safe distance with the vehicles in front. Theoretical road link capacities for Jl. Hayam Wuruk, Jl. Hang Tuah and Jl. Padma are 3,186 vehicles/hour, 3,077 vehicles/hour and 1935 vehicles/hour respectively.

  6. Spatial Modelling of Road Traffic Accidents in Oyo State, Nigeria ...

    African Journals Online (AJOL)

    Roads often become sources of sorrow and venues of loss. Road accidents are a global scourge characteristic of our technological era, whose list of victims insidiously grows longer day by day. Most families have found themselves mourning, surrounded by indifference that is all too common as if this was a price that the ...

  7. International scale implementation of the CNOSSOS-EU road traffic noise prediction model for epidemiological studies

    International Nuclear Information System (INIS)

    Morley, D.W.; Hoogh, K. de; Fecht, D.; Fabbri, F.; Bell, M.; Goodman, P.S.; Elliott, P.; Hodgson, S.; Hansell, A.L.; Gulliver, J.

    2015-01-01

    The EU-FP7-funded BioSHaRE project is using individual-level data pooled from several national cohort studies in Europe to investigate the relationship of road traffic noise and health. The detailed input data (land cover and traffic characteristics) required for noise exposure modelling are not always available over whole countries while data that are comparable in spatial resolution between different countries is needed for harmonised exposure assessment. Here, we assess the feasibility using the CNOSSOS-EU road traffic noise prediction model with coarser input data in terms of model performance. Starting with a model using the highest resolution datasets, we progressively introduced lower resolution data over five further model runs and compared noise level estimates to measurements. We conclude that a low resolution noise model should provide adequate performance for exposure ranking (Spearman's rank = 0.75; p < 0.001), but with relatively large errors in predicted noise levels (RMSE = 4.46 dB(A)). - Highlights: • The first implementation of CNOSSOS-EU for national scale noise exposure assessment. • Road traffic noise model performance with varying resolution of inputs is assessed. • Model performance is good with low resolution inputs (r s  = 0.75). • This model will be applied in epidemiological studies of European cohorts. - The CNOSSOS-EU road traffic noise model estimates can be used for international scale exposure assessment when parameterised with freely available low resolution covering a large geographic area.

  8. Modelling of road traffic for traffic flow optimization of modern regional center as an example of Odessa

    Directory of Open Access Journals (Sweden)

    S.V. Myronenko

    2016-12-01

    Full Text Available At present sharply there is a problem of traffic management especially in big cities. The increase in the number of vehicles, both personal and public, led to congestion of city roads, many hours of traffic jams, difficulty of movement of pedestrians, increase the number of accidents, etc. Aim: The aim of the study is to evaluate the possibility of using simulation models to solve problems of analysis and optimization of traffic flows. To achieve this goal in a simulation environment the data base of the transport network will be developed. Materials and Methods: The problem of analysis and optimization of traffic flow is considered by the example of the city of Odessa (Ukraine, the results and recommendations can be easily adapted for other cities of Ukraine, and for the cities of most countries of the former socialist bloc. Features of transport systems make it impossible to build an adequate analytical model to explore options for the management of the system and its characteristic in different conditions. At the same time simulation modelling as a method to study such objects is a promising for the solution to this problem. As a simulation environment an OmniTRANS package as a universal tool for modeling of discrete, continuous and hybrid systems. Results: With OmniTRANS programs the model of traffic in Odessa was derived and the intensity of the traffic flow. B first approximation the transport network of the central district of the city was considered and built; without calibration and simulation it was developed a database of elements of the transport network and shown how it can be used to solve problems of analysis and optimization of traffic flows. Models constructed from elements of created database, allows you to change the level of detail of the simulated objects and phenomena, thereby obtaining models as macro and micro level.

  9. Traffic Flow Prediction Model for Large-Scale Road Network Based on Cloud Computing

    Directory of Open Access Journals (Sweden)

    Zhaosheng Yang

    2014-01-01

    Full Text Available To increase the efficiency and precision of large-scale road network traffic flow prediction, a genetic algorithm-support vector machine (GA-SVM model based on cloud computing is proposed in this paper, which is based on the analysis of the characteristics and defects of genetic algorithm and support vector machine. In cloud computing environment, firstly, SVM parameters are optimized by the parallel genetic algorithm, and then this optimized parallel SVM model is used to predict traffic flow. On the basis of the traffic flow data of Haizhu District in Guangzhou City, the proposed model was verified and compared with the serial GA-SVM model and parallel GA-SVM model based on MPI (message passing interface. The results demonstrate that the parallel GA-SVM model based on cloud computing has higher prediction accuracy, shorter running time, and higher speedup.

  10. Do Stochastic Traffic Assignment Models Consider Differences in Road Users Utility Functions?

    DEFF Research Database (Denmark)

    Nielsen, Otto Anker

    1996-01-01

    The early stochastic traffic assignment models (e.g. Dial, 1971) build on the assump-tion that different routes are independent (the logit-model concept). Thus, the models gave severe problems in networks with overlapping routes. Daganzo & Sheffi (1977) suggested to use probit based models...... to overcome this problem. Sheffi & Powell (1981) presented a practically operational solution algorithm in which the travel resistance for each road segment is adjusted according to a Monte Carlo simulation following the Normal-distribution. By this the road users’ ‘perceived travel resistances’ are simulated....... A similar concept is used as a part of the Sto-chastic User Equilibrium model (SUE) suggested by Daganzo and Sheffi (1977) and operationalized by Sheffi & Powell (1982). In the paper it is discussed whether this way of modelling the ‘perceived travel resistance’ is sufficient to describe the road users...

  11. Road traffic noise and stroke

    DEFF Research Database (Denmark)

    Sørensen, Mette; Hvidberg, Martin; Andersen, Zorana J

    2011-01-01

    Epidemiological studies suggest that long-term exposure to road traffic noise increases the risk of cardiovascular disorders. The aim of this study was to investigate the relation between exposure to road traffic noise and risk for stroke, which has not been studied before....

  12. Combined Prediction Model of Death Toll for Road Traffic Accidents Based on Independent and Dependent Variables

    Directory of Open Access Journals (Sweden)

    Feng Zhong-xiang

    2014-01-01

    Full Text Available In order to build a combined model which can meet the variation rule of death toll data for road traffic accidents and can reflect the influence of multiple factors on traffic accidents and improve prediction accuracy for accidents, the Verhulst model was built based on the number of death tolls for road traffic accidents in China from 2002 to 2011; and car ownership, population, GDP, highway freight volume, highway passenger transportation volume, and highway mileage were chosen as the factors to build the death toll multivariate linear regression model. Then the two models were combined to be a combined prediction model which has weight coefficient. Shapley value method was applied to calculate the weight coefficient by assessing contributions. Finally, the combined model was used to recalculate the number of death tolls from 2002 to 2011, and the combined model was compared with the Verhulst and multivariate linear regression models. The results showed that the new model could not only characterize the death toll data characteristics but also quantify the degree of influence to the death toll by each influencing factor and had high accuracy as well as strong practicability.

  13. Modeling annual benzene, toluene, NO2, and soot concentrations on the basis of road traffic characteristics

    International Nuclear Information System (INIS)

    Carr, David; Ehrenstein, Ondine von; Weiland, Stephan; Wagner, Claudia; Wellie, Oliver; Nicolai, Thomas; Mutius, Erika von

    2002-01-01

    The investigation of potential adverse health effects of urban traffic-related air pollution is hampered by difficulties encountered with exposure assessment. Usually public measuring sites are few and thereby do not adequately describe spatial variation of pollutant levels over an urban area. In turn, individual monitoring of pollution exposure among study subjects is laborious and expensive. We therefore investigated whether traffic characteristics can be used to adequately predict benzene, NO 2 , and soot concentrations at individual addresses of study subjects in the city area of Munich, Germany. For all road segments with expected traffic volumes of at least 4000 vehicles a day (n=1840), all vehicles were counted manually or a single weekday in 1995. The proportion of vehicles in 'stop-go' mode, n estimate of traffic jam, was determined. Furthermore, annual concentrations of benzene, NO 2 , and soot from 18 high-concentration sites means: 8.7, 65.8, and 12.9 μg/m 3 , respectively) and from 16 school sites with moderate concentrations (means: 2.6, 32.2, and 5.7 μg/m 3 , respectively) were measured from 1996 to 1998. Statistical analysis of the data was performed using components of two different statistical models recently used to predict air pollution levels in comparable settings. Two traffic characteristics, traffic volume and traffic jam percentage, adequately described air pollutant concentrations (R 2 : 0.76-0.80, P=0.0001). This study shows that air pollutant concentrations can be accurately predicted by two traffic characteristics and that these models compare favorably with other more complex models in the literature

  14. Multifractal chaotic attractors in a system of delay-differential equations modeling road traffic.

    Science.gov (United States)

    Safonov, Leonid A.; Tomer, Elad; Strygin, Vadim V.; Ashkenazy, Yosef; Havlin, Shlomo

    2002-12-01

    We study a system of delay-differential equations modeling single-lane road traffic. The cars move in a closed circuit and the system's variables are each car's velocity and the distance to the car ahead. For low and high values of traffic density the system has a stable equilibrium solution, corresponding to the uniform flow. Gradually decreasing the density from high to intermediate values we observe a sequence of supercritical Hopf bifurcations forming multistable limit cycles, corresponding to flow regimes with periodically moving traffic jams. Using an asymptotic technique we find approximately small limit cycles born at Hopf bifurcations and numerically preform their global continuations with decreasing density. For sufficiently large delay the system passes to chaos following the Ruelle-Takens-Newhouse scenario (limit cycles-two-tori-three-tori-chaotic attractors). We find that chaotic and nonchaotic attractors coexist for the same parameter values and that chaotic attractors have a broad multifractal spectrum. (c) 2002 American Institute of Physics.

  15. Modelling traffic hindrance caused by road construction as part of a multi-criteria assessment framework

    NARCIS (Netherlands)

    van Berkum, Eric C.; ter Huerne, Henderikus L.; Jacob, B.; Kovarik, J.; Motyka, V.

    2014-01-01

    One of the consequences of the increased utilization of road infrastructure is more frequent maintenance work. Since generally road works result in less available road capacity, we can witness an increase in traffic hindrance, which involves delays and externalities as noise, air quality, safety and

  16. A Markov Process Inspired Cellular Automata Model of Road Traffic

    OpenAIRE

    Wang, Fa; Li, Li; Hu, Jianming; Ji, Yan; Yao, Danya; Zhang, Yi; Jin, Xuexiang; Su, Yuelong; Wei, Zheng

    2008-01-01

    To provide a more accurate description of the driving behaviors in vehicle queues, a namely Markov-Gap cellular automata model is proposed in this paper. It views the variation of the gap between two consequent vehicles as a Markov process whose stationary distribution corresponds to the observed distribution of practical gaps. The multiformity of this Markov process provides the model enough flexibility to describe various driving behaviors. Two examples are given to show how to specialize i...

  17. Road traffic injuries in Colombia.

    Science.gov (United States)

    Rodríguez, Deysi Yasmin; Fernández, Francisco José; Acero Velásquez, Hugo

    2003-01-01

    Road traffic injuries are a leading public health problem in Colombia. Pedestrians are the most vulnerable road users, especially in the main urban centers of Bogotá, Medellin and Cali. Data analyzed in this report include official statistics from the National Police and the National Institute of Legal Medicine and Forensic Sciences for 1996-2000, and results of a study conducted at the National University of Colombia in 2000. Methods from the Highway Capacity Manual were used for determining physical and technical variables, and a Geographical Information System tool was used for the location and spatial analysis of the road traffic crashes. Pedestrians accounted for close to 32% of injuries and 40% of the deaths from road traffic crashes. The problem of road traffic crashes existed predominately in urban areas. In the main urban centers, pedestrians constituted nearly 68% of road traffic crash victims. The high level of risky road use behaviors demonstrated by pedestrians and drivers, and inadequate infrastructure for safe mobility of pedestrians in some sections of the road network were the main contributing factors. Major improvements were achieved in Bogotá following enhancements to the municipal transport system and other policies introduced since 1995. In conclusion, policies and programs for improving road safety, in particular pedestrian safety, and strengthening urban planning are top priority.

  18. Avoidable Burden of Risk Factors for Serious Road Traffic Crashes in Iran: A Modeling Study

    Directory of Open Access Journals (Sweden)

    Fatemeh Khosravi Shadmani

    2017-03-01

    Full Text Available Objectives The aim of this study was to model the avoidable burden of the risk factors of road traffic crashes in Iran and to prioritize interventions to reduce that burden. Methods The prevalence and the effect size of the risk factors were obtained from data documented by the traffic police of Iran in 2013. The effect size was estimated using an ordinal regression model. The potential impact fraction index was applied to calculate the avoidable burden in order to prioritize interventions. This index was calculated for theoretical, plausible, and feasible minimum risk level scenarios. The joint effects of the risk factors were then estimated for all the scenarios. Results The highest avoidable burdens in the theoretical, plausible, and feasible minimum risk level scenarios for the non-use of child restraints on urban roads were 52.25, 28.63, and 46.67, respectively. In contrast, the value of this index for speeding was 76.24, 37.00, and 62.23, respectively, for rural roads. Conclusions On the basis of the different scenarios considered in this research, we suggest focusing on future interventions to decrease the prevalence of speeding, the non-use of child restraints, the use of cell phones while driving, and helmet disuse, and the laws related to these items should be considered seriously.

  19. Viscoelastic Modelling of Road Deflections for use with the Traffic Speed Deflectometer

    DEFF Research Database (Denmark)

    Pedersen, Louis

    This Ph.D. study is at its core about how asphalt and road structures responds to dynamic loads. Existing models for the deflections under a moving load using beam equations are revisited and it is concluded they leave room for improvement for the particular setup and problem at hand. Then a diff......This Ph.D. study is at its core about how asphalt and road structures responds to dynamic loads. Existing models for the deflections under a moving load using beam equations are revisited and it is concluded they leave room for improvement for the particular setup and problem at hand...... as in the case of using a Traffic Speed Deflectometer. The flexibility of the method also allows for looking into cases excluded by imposing simplifying assumptions such as the structure imagined to be an infinite halfspace....

  20. Encapsulating Urban Traffic Rhythms into Road Networks

    Science.gov (United States)

    Wang, Junjie; Wei, Dong; He, Kun; Gong, Hang; Wang, Pu

    2014-01-01

    Using road GIS (geographical information systems) data and travel demand data for two U.S. urban areas, the dynamical driver sources of each road segment were located. A method to target road clusters closely related to urban traffic congestion was then developed to improve road network efficiency. The targeted road clusters show different spatial distributions at different times of a day, indicating that our method can encapsulate dynamical travel demand information into the road networks. As a proof of concept, when we lowered the speed limit or increased the capacity of road segments in the targeted road clusters, we found that both the number of congested roads and extra travel time were effectively reduced. In addition, the proposed modeling framework provided new insights on the optimization of transport efficiency in any infrastructure network with a specific supply and demand distribution. PMID:24553203

  1. Road traffic noise and children's inattention.

    Science.gov (United States)

    Weyde, Kjell Vegard; Krog, Norun Hjertager; Oftedal, Bente; Magnus, Per; Øverland, Simon; Stansfeld, Stephen; Nieuwenhuijsen, Mark J; Vrijheid, Martine; de Castro Pascual, Montserrat; Aasvang, Gunn Marit

    2017-11-21

    An increasing number of children are exposed to road traffic noise levels that may lead to adverse effects on health and daily functioning. Childhood is a period of intense growth and brain maturation, and children may therefore be especially vulnerable to road traffic noise. The objective of the present study was to examine whether road traffic noise was associated with reported inattention symptoms in children, and whether this association was mediated by sleep duration. This study was based on the Norwegian Mother and Child Cohort Study conducted by the Norwegian Institute of Public Health. Parental reports of children's inattention at age 8 were linked to modelled levels of residential road traffic noise. We investigated the association between inattention and noise exposure during pregnancy (n = 1934), noise exposure averaged over 5 years (age 3 to 8 years; n = 1384) and noise exposure at age 8 years (n = 1384), using fractional logit response models. The participants were children from Oslo, Norway. An association with inattention at age 8 years was found for road traffic noise exposure at age 8 years (coef = .0083, CI = [.0012, .0154]; 1.2% point increase in inattention score per 10 dB increase in noise level), road traffic noise exposure average for the last 5 years (coef = .0090, CI = [.0016, .0164]; 1.3% point increase/10 dB), and for pregnancy road traffic noise exposure for boys (coef = .0091, CI = [.0010, .0171]), but not girls (coef = -.0021, CI = [-.0094, .0053]). Criteria for doing mediation analyses were not fulfilled. Results indicate that road traffic noise has a negative impact on children's inattention. We found no mediation by sleep duration.

  2. A drug cost model for injuries due to road traffic accidents.

    Directory of Open Access Journals (Sweden)

    Riewpaiboon A

    2008-03-01

    Full Text Available Objective: This study aimed to develop a drug cost model for injuries due to road traffic accidents for patients receiving treatment at a regional hospital in Thailand. Methods: The study was designed as a retrospective, descriptive analysis. The cases were all from road traffic accidents receiving treatment at a public regional hospital in the fiscal year 2004. Results: Three thousand seven hundred and twenty-three road accident patients were included in the study. The mean drug cost per case was USD18.20 (SD=73.49, median=2.36. The fitted drug cost model had an adjusted R2 of 0.449. The positive significant predictor variables of drug costs were prolonged length of stay, age over 30 years old, male, Universal Health Coverage Scheme, time of accident during 18:00-24:00 o’clock, and motorcycle comparing to bus. To forecast the drug budget for 2006, there were two approaches identified, the mean drug cost and the predicted average drug cost. The predicted average drug cost was calculated based on the forecasted values of statistically significant (p<0.05 predictor variables included in the fitted model; predicted total drug cost was USD44,334. Alternatively, based on the mean cost, predicted total drug cost in 2006 was USD63,408. This was 43% higher than the figure based on the predicted cost approach.Conclusions: The planned budget of drug cost based on the mean cost and predicted average cost were meaningfully different. The application of a predicted average cost model could result in a more accurate budget planning than that of a mean statistic approach.

  3. A drug cost model for injuries due to road traffic accidents.

    Science.gov (United States)

    Riewpaiboon, Arthorn; Piyauthakit, Piyanuch; Srijariya, Witsanuchai; Chaikledkaew, Usa

    2008-01-01

    This study aimed to develop a drug cost model for injuries due to road traffic accidents for patients receiving treatment at a regional hospital in Thailand. The study was designed as a retrospective, descriptive analysis. The cases were all from road traffic accidents receiving treatment at a public regional hospital in the fiscal year 2004. Three thousand seven hundred and twenty-three road accident patients were included in the study. The mean drug cost per case was USD18.20 (SD=73.49, median=2.36). The fitted drug cost model had an adjusted R (2) of 0.449. The positive significant predictor variables of drug costs were prolonged length of stay, age over 30 years old, male, Universal Health Coverage Scheme, time of accident during 18:00-24:00 o'clock, and motorcycle comparing to bus. To forecast the drug budget for 2006, there were two approaches identified, the mean drug cost and the predicted average drug cost. The predicted average drug cost was calculated based on the forecasted values of statistically significant (pcost was USD44,334. Alternatively, based on the mean cost, predicted total drug cost in 2006 was USD63,408. This was 43% higher than the figure based on the predicted cost approach. The planned budget of drug cost based on the mean cost and predicted average cost were meaningfully different. The application of a predicted average cost model could result in a more accurate budget planning than that of a mean statistic approach.

  4. Road Traffic in China

    NARCIS (Netherlands)

    Jie, L.; Van Zuylen, H.J.

    2014-01-01

    Traffic is tightly related to the social and economic development in a country. In China the development of the economy has been very fast in the past 30 years and this is still continuing. The transport infrastructure shows a similar pattern, while traffic is also rapidly growing. In urban areas

  5. A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling

    Directory of Open Access Journals (Sweden)

    Pavel Masek

    2016-11-01

    Full Text Available The unprecedented growth of today’s cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT technologies, where low-power, embedded devices integrate as part of a next-generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city.

  6. A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling.

    Science.gov (United States)

    Masek, Pavel; Masek, Jan; Frantik, Petr; Fujdiak, Radek; Ometov, Aleksandr; Hosek, Jiri; Andreev, Sergey; Mlynek, Petr; Misurec, Jiri

    2016-11-08

    The unprecedented growth of today's cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS) for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT) technologies, where low-power, embedded devices integrate as part of a next-generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city.

  7. A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling

    Science.gov (United States)

    Masek, Pavel; Masek, Jan; Frantik, Petr; Fujdiak, Radek; Ometov, Aleksandr; Hosek, Jiri; Andreev, Sergey; Mlynek, Petr; Misurec, Jiri

    2016-01-01

    The unprecedented growth of today’s cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS) for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT) technologies, where low-power, embedded devices integrate as part of a next-generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city. PMID:27834796

  8. Economic Efficacy of Road Traffic Safety Measures

    OpenAIRE

    Gul, Ejaz

    2013-01-01

    The number of road traffic casualties is still very lofty and the trend shows a boost with each passing day. The road traffic accidents involve fatalities due to which economic resources are damaged and the productivity of the economy is correspondingly impaired. Costs resulting from traffic accidents represent the largest single part of the overall cost of traffic to the economy. Knowledge about the harm of these traffic accidents to the economy is essential if measures to reduce road traffi...

  9. Economic Evaluation of Road Traffic Safety Measures

    OpenAIRE

    Gul, Ejaz

    2013-01-01

    The number of road traffic casualties is still very lofty and the trend shows a boost with each passing day. The road traffic accidents involve fatalities due to which economic resources are damaged and the productivity of the economy is correspondingly impaired. Costs resulting from traffic accidents represent the largest single part of the overall cost of traffic to the economy. Knowledge about the harm of these traffic accidents to the economy is essential if measures to reduce road traffi...

  10. Pocket facts 2009 : Swedish Road Administration, roads and traffic

    Science.gov (United States)

    2009-05-01

    This publication offers an overall picture of the road transport : system. Here you will find a selection of brief facts about roads, : road transports, vehicles and people in traffic. In addition, it : includes an overview of SRA tasks and organisat...

  11. Pocket facts 2008 : Swedish Road Administration, roads and traffic

    Science.gov (United States)

    2008-05-01

    Pocket Facts offers an overall picture of the road : transport system. Here you will find a selection of : brief facts about roads, road transports, vehicles and : people in traffic. In addition, it presents the functions : and organisation at the SR...

  12. ROAD TRAFFIC ESTIMATION USING BLUETOOTH SENSORS

    Directory of Open Access Journals (Sweden)

    Monika N. BUGDOL

    2017-09-01

    Full Text Available The Bluetooth standard is a low-cost, very popular communication protocol offering a wide range of applications in many fields. In this paper, a novel system for road traffic estimation using Bluetooth sensors has been presented. The system consists of three main modules: filtration, statistical analysis of historical, and traffic estimation and prediction. The filtration module is responsible for the classification of road users and detecting measurements that should be removed. Traffic estimation has been performed on the basis of the data collected by Bluetooth measuring devices and information on external conditions (e.g., temperature, all of which have been gathered in the city of Bielsko-Biala (Poland. The obtained results are very promising. The smallest average relative error between the number of cars estimated by the model and the actual traffic was less than 10%.

  13. Application of land use regression modelling to assess the spatial distribution of road traffic noise in three European cities.

    Science.gov (United States)

    Aguilera, Inmaculada; Foraster, Maria; Basagaña, Xavier; Corradi, Elisabetta; Deltell, Alexandre; Morelli, Xavier; Phuleria, Harish C; Ragettli, Martina S; Rivera, Marcela; Thomasson, Alexandre; Slama, Rémy; Künzli, Nino

    2015-01-01

    Noise prediction models and noise maps are used to estimate the exposure to road traffic noise, but their availability and the quality of the noise estimates is sometimes limited. This paper explores the application of land use regression (LUR) modelling to assess the long-term intraurban spatial variability of road traffic noise in three European cities. Short-term measurements of road traffic noise taken in Basel, Switzerland (n=60), Girona, Spain (n=40), and Grenoble, France (n=41), were used to develop two LUR models: (a) a "GIS-only" model, which considered only predictor variables derived with Geographic Information Systems; and (b) a "Best" model, which in addition considered the variables collected while visiting the measurement sites. Both noise measurements and noise estimates from LUR models were compared with noise estimates from standard noise models developed for each city by the local authorities. Model performance (adjusted R(2)) was 0.66-0.87 for "GIS-only" models, and 0.70-0.89 for "Best" models. Short-term noise measurements showed a high correlation (r=0.62-0.78) with noise estimates from the standard noise models. LUR noise estimates did not show any systematic differences in the spatial patterns when compared with those from standard noise models. LUR modelling with accurate GIS source data can be a promising tool for noise exposure assessment with applications in epidemiological studies.

  14. Global impact of road traffic emissions on tropospheric ozone

    Directory of Open Access Journals (Sweden)

    S. Matthes

    2007-01-01

    Full Text Available Road traffic is one of the major anthropogenic emission sectors for NOx, CO and NMHCs (non-methane hydrocarbons. We applied ECHAM4/CBM, a general circulation model coupled to a chemistry module, which includes higher hydrocarbons, to investigate the global impact of 1990 road traffic emissions on the atmosphere. Improving over previous global modelling studies, which concentrated on road traffic NOx and CO emissions only, we assess the impact of NMHC emissions from road traffic. It is revealed that NMHC emissions from road traffic play a key role for the impact on ozone. They are responsible for (indirect long-range transport of NOx from road traffic via the formation of PAN, which is not found in a simulation without NMHC emissions from road traffic. Long-range transport of NMHC-induced PAN impacts on the ozone distribution in Northern Hemisphere regions far away from the sources, especially in arctic and remote maritime regions. In July total road traffic emissions (NOx, CO and NMHCs contribute to the zonally averaged ozone distribution by more than 12% near the surface in the Northern Hemisphere midlatitudes and arctic latitudes. In January road traffic emissions contribute near the surface in northern and southern extratropics more than 8%. Sensitivity studies for regional emission show that effective transport of road traffic emissions occurs mainly in the free troposphere. In tropical latitudes of America up to an altitude of 200 hPa, global road traffic emissions contribute about 8% to the ozone concentration. In arctic latitudes NMHC emissions from road transport are responsible for about 90% of PAN increase from road transport, leading to a contribution to ozone concentrations of up to 15%.

  15. An analysis of Malaysia road traffic death distribution by road ...

    Indian Academy of Sciences (India)

    Yusria Darma

    2017-07-14

    Jul 14, 2017 ... road networks and designing roads, defects in existing roads and lack of remedial action at high-risk crash sites are the risk factors for crashes. Hence, this study is focussed on investigating the road environment elements that have a significant contribution on road traffic deaths in Malaysia. The findings of ...

  16. Accounting for anthropic energy flux of traffic in winter urban road surface temperature simulations with the TEB model

    Science.gov (United States)

    Khalifa, A.; Marchetti, M.; Bouilloud, L.; Martin, E.; Bues, M.; Chancibaut, K.

    2016-02-01

    Snowfall forecasts help winter maintenance of road networks, ensure better coordination between services, cost control, and a reduction in environmental impacts caused by an inappropriate use of de-icers. In order to determine the possible accumulation of snow on pavements, forecasting the road surface temperature (RST) is mandatory. Weather outstations are used along these networks to identify changes in pavement status, and to make forecasts by analyzing the data they provide. Physical numerical models provide such forecasts, and require an accurate description of the infrastructure along with meteorological parameters. The objective of this study was to build a reliable urban RST forecast with a detailed integration of traffic in the Town Energy Balance (TEB) numerical model for winter maintenance. The study first consisted in generating a physical and consistent description of traffic in the model with two approaches to evaluate traffic incidence on RST. Experiments were then conducted to measure the effect of traffic on RST increase with respect to non-circulated areas. These field data were then used for comparison with the forecast provided by this traffic-implemented TEB version.

  17. Structuring of Road Traffic Flows

    Directory of Open Access Journals (Sweden)

    Planko Rožić

    2005-09-01

    Full Text Available Systemic traffic count on the Croatian road network hasbeen carried out for more than three decades in different ways.During this period a large number of automatic traffic countershave been installed, and they operate on different principles.The traffic count has been analyzed from the aspect of vehicleclassification. The count results can be only partly comparedsince they yield different structures of traffic flows. Special analysisrefers to the classification of vehicles by automatic trafficcounters.During the research, a database has been formed with physicalelements of vehicles of over five thousand vehicle types. Theresearch results prove that the vehicle length only is not sufficientfor the classification of vehicles, the way it is used in thepresent automatic traffic counts, but rather the number of axles,the wheelbase as well as the front and rear overhangs needto be considered as well. Therefore, the detector system shouldapply also the detector of axles.The results have been presented that were obtained as partof the program TEST- Technological, research, developmentproject supported by the Minist1y of Science, Education andSport.

  18. Distinguishing between Rural and Urban Road Segment Traffic Safety Based on Zero-Inflated Negative Binomial Regression Models

    Directory of Open Access Journals (Sweden)

    Xuedong Yan

    2012-01-01

    Full Text Available In this study, the traffic crash rate, total crash frequency, and injury and fatal crash frequency were taken into consideration for distinguishing between rural and urban road segment safety. The GIS-based crash data during four and half years in Pikes Peak Area, US were applied for the analyses. The comparative statistical results show that the crash rates in rural segments are consistently lower than urban segments. Further, the regression results based on Zero-Inflated Negative Binomial (ZINB regression models indicate that the urban areas have a higher crash risk in terms of both total crash frequency and injury and fatal crash frequency, compared to rural areas. Additionally, it is found that crash frequencies increase as traffic volume and segment length increase, though the higher traffic volume lower the likelihood of severe crash occurrence; compared to 2-lane roads, the 4-lane roads have lower crash frequencies but have a higher probability of severe crash occurrence; and better road facilities with higher free flow speed can benefit from high standard design feature thus resulting in a lower total crash frequency, but they cannot mitigate the severe crash risk.

  19. Model based monitoring of urban traffic noise : Field test results for road side and shielded sides

    NARCIS (Netherlands)

    Eerden, F.J.M. van der; Lutgendorf, D.; Wessels, P.W.; Basten, T.G.H.

    2012-01-01

    Urban traffic noise can be a major issue for people and (local) governments. On a local scale the use of measurements is increasing, especially when measures or changes to the local infrastructure are proposed. However, measuring (only) urban traffic noise is a challenging task. By using a model

  20. 2004 road traffic crashes in Queensland

    Science.gov (United States)

    2009-05-01

    This report presents an overview of reported road traffic crashes in Queensland during : 2004 in the context of the previous five years based on data contained in the Queensland : Road Crash Information System maintained by the Department of Transpor...

  1. Accounting for anthropic energy flux of traffic in winter urban road surface temperature simulations with TEB model

    Science.gov (United States)

    Khalifa, A.; Marchetti, M.; Bouilloud, L.; Martin, E.; Bues, M.; Chancibaut, K.

    2015-06-01

    A forecast of the snowfall helps winter coordination operating services, reducing the cost of the maintenance actions, and the environmental impacts caused by an inappropriate use of de-icing. In order to determine the possible accumulation of snow on pavement, the forecast of the road surface temperature (RST) is mandatory. Physical numerical models provide such forecast, and do need an accurate description of the infrastructure along with meteorological parameters. The objective of this study was to build a reliable urban RST forecast with a detailed integration of traffic in the Town Energy Balance (TEB) numerical model for winter maintenance. The study first consisted in generating a physical and consistent description of traffic in the model with all the energy interactions, with two approaches to evaluate the traffic incidence on RST. Experiments were then conducted to measure the traffic effect on RST increase with respect to non circulated areas. These field data were then used for comparison with forecast provided by this traffic-implemented TEB version.

  2. Distraction-related road traffic collisions

    African Journals Online (AJOL)

    Abstract. Objectives: We aimed to prospectively study distraction-related road traffic collision injuries, their contributory factors, severity, and outcome. Methods: Data were prospectively collected on all hospitalized road traffic collision trauma patients in Al-Ain City who were drivers at the collision time over one and half years ...

  3. Calculating Traffic based on Road Sensor Data

    NARCIS (Netherlands)

    Bisseling, Rob; Gao, Fengnan; Hafkenscheid, Patrick; Idema, Reijer; Jetka, Tomasz; Guerra Ones, Valia; Rata, Debanshu; Sikora, Monika

    2014-01-01

    Road sensors gather a lot of statistical data about traffic. In this paper, we discuss how a measure for the amount of traffic on the roads can be derived from this data, such that the measure is independent of the number and placement of sensors, and the calculations can be performed quickly for

  4. Road2Vec: Measuring Traffic Interactions in Urban Road System from Massive Travel Routes

    Directory of Open Access Journals (Sweden)

    Kang Liu

    2017-10-01

    Full Text Available Good characterization of traffic interactions among urban roads can facilitate traffic-related applications, such as traffic control and short-term forecasting. Most studies measure the traffic interaction between two roads by their topological distance or the correlation between their traffic variables. However, the distance-based methods neglect the spatial heterogeneity of roads’ traffic interactions, while the correlation-based methods cannot capture the non-linear dependency between two roads’ traffic variables. In this paper, we propose a novel approach called Road2Vec to quantify the implicit traffic interactions among roads based on large-scale taxi operating route data using a Word2Vec model from the natural language processing (NLP field. First, the analogy between transportation elements (i.e., road segment, travel route and NLP terms (i.e., word, document is established. Second, the real-valued vectors for road segments are trained from massive travel routes using the Word2Vec model. Third, the traffic interaction between any pair of roads is measured by the cosine similarity of their vectors. A case study on short-term traffic forecasting is conducted with artificial neural network (ANN and support vector machine (SVM algorithms to validate the advantages of the presented method. The results show that the forecasting achieves a higher accuracy with the support of the Road2Vec method than with the topological distance and traffic correlation based methods. We argue that the Road2Vec method can be effectively utilized for quantifying complex traffic interactions among roads and capturing underlying heterogeneous and non-linear properties.

  5. Road Safety Barriers, the Need and Influence on Road Traffic Accidents

    Science.gov (United States)

    Butāns, Ž.; Gross, K. A.; Gridnevs, A.; Karzubova, E.

    2015-11-01

    Constantly increasing intensity of road traffic and the allowed speed limits seem to impose stronger requirements on road infrastructure and use of road safety systems. One of the ways to improve road safety is the use of road restraint systems. Road safety barriers allow not only reducing the number of road traffic accidents, but also lowering the severity of accidents. The paper provides information on the technical requirements of road safety barriers. Various types of road safety barriers and their selection criteria for different types of road sections are discussed. The article views an example of a road traffic accident, which is also modelled by PC-Crash computer program. The given example reflects a road accident mechanism in case of a car-to-barrier collision, and provides information about the typical damage to the car and the barrier. The paper describes an impact of the road safety barrier type and its presence on the road traffic accident mechanism. Implementation and maintenance costs of different barrier types are viewed. The article presents a discussion on the necessity to use road safety barriers, as well as their optimal choice.

  6. An analysis of Malaysia road traffic death distribution by road ...

    Indian Academy of Sciences (India)

    In this regard, it is imperative for all parties concerning road safety to determine the factors that significantly contribute to road traffic deaths. According to the Ministry of Works, Malaysia, the blackspot treatment programme (which is centred on the elimination of road hazards by engineering approaches) is successful in ...

  7. An analysis of Malaysia road traffic death distribution by road ...

    Indian Academy of Sciences (India)

    Yusria Darma

    2017-07-14

    Jul 14, 2017 ... According to the Ministry of Works, Malaysia, the blackspot treatment programme (which is centred on the elimination of road hazards by engineering approaches) is successful in reducing the number of injuries due to road traffic accidents up to a certain extent. This study is focussed on analysing road ...

  8. Golden Ratio Genetic Algorithm Based Approach for Modelling and Analysis of the Capacity Expansion of Urban Road Traffic Network

    Science.gov (United States)

    Zhang, Lun; Zhang, Meng; Yang, Wenchen; Dong, Decun

    2015-01-01

    This paper presents the modelling and analysis of the capacity expansion of urban road traffic network (ICURTN). Thebilevel programming model is first employed to model the ICURTN, in which the utility of the entire network is maximized with the optimal utility of travelers' route choice. Then, an improved hybrid genetic algorithm integrated with golden ratio (HGAGR) is developed to enhance the local search of simple genetic algorithms, and the proposed capacity expansion model is solved by the combination of the HGAGR and the Frank-Wolfe algorithm. Taking the traditional one-way network and bidirectional network as the study case, three numerical calculations are conducted to validate the presented model and algorithm, and the primary influencing factors on extended capacity model are analyzed. The calculation results indicate that capacity expansion of road network is an effective measure to enlarge the capacity of urban road network, especially on the condition of limited construction budget; the average computation time of the HGAGR is 122 seconds, which meets the real-time demand in the evaluation of the road network capacity. PMID:25802512

  9. Light signals for road traffic control.

    NARCIS (Netherlands)

    Schreuder, D.A.

    1981-01-01

    Signals for road traffic control are a major constituent of the modern traffic scene, particularly in built-up areas. A vast amount of research has been executed in the last two decennia, resulting in a fairly generally accepted view on what the requirements for effective traffic lights are. For the

  10. Spatial Analysis Methods of Road Traffic Collisions

    DEFF Research Database (Denmark)

    Loo, Becky P. Y.; Anderson, Tessa Kate

    outlines the key issues in identifying hazardous road locations (HRLs), considers current approaches used for reducing and preventing road traffic collisions, and outlines a strategy for improved road safety. The book covers spatial accuracy, validation, and other statistical issues, as well as link......Spatial Analysis Methods of Road Traffic Collisions centers on the geographical nature of road crashes, and uses spatial methods to provide a greater understanding of the patterns and processes that cause them. Written by internationally known experts in the field of transport geography, the book...

  11. Spatial Analysis Methods of Road Traffic Collisions

    DEFF Research Database (Denmark)

    Loo, Becky P. Y.; Anderson, Tessa Kate

    Spatial Analysis Methods of Road Traffic Collisions centers on the geographical nature of road crashes, and uses spatial methods to provide a greater understanding of the patterns and processes that cause them. Written by internationally known experts in the field of transport geography, the book...... outlines the key issues in identifying hazardous road locations (HRLs), considers current approaches used for reducing and preventing road traffic collisions, and outlines a strategy for improved road safety. The book covers spatial accuracy, validation, and other statistical issues, as well as link...

  12. Tribological approach to study polishing of road surface under traffic

    OpenAIRE

    KANE, Malal; DO, Minh Tan

    2007-01-01

    The polishing phenomenon of road pavements under the vehicle traffic constitutes the main mechanism inherent to the loss of skid resistance over time. A better understanding of this phenomenon would allow an improvement of road safety. This study comprises a review of laboratory test and a model simulating the polishing of road surfaces. The laboratory test uses a polishing machine so called 'Wehner-Schulze' which can reproduce the evolution of the road texture from specimens taken directly f...

  13. Green supply chain: Simulating road traffic congestion

    Science.gov (United States)

    Jalal, Muhammad Zulqarnain Hakim Abd; Nawawi, Mohd Kamal Mohd; Laailatul Hanim Mat Desa, Wan; Khalid, Ruzelan; Khalid Abduljabbar, Waleed; Ramli, Razamin

    2017-09-01

    With the increasing awareness of the consumers about environmental issues, businesses, households and governments increasingly want use green products and services which lead to green supply chain. This paper discusses a simulation study of a selected road traffic system that will contribute to the air pollution if in the congestion state. Road traffic congestion (RTC) can be caused by a temporary obstruction, a permanent capacity bottleneck in the network itself, and stochastic fluctuation in demand within a particular sector of the network, leading to spillback and queue propagation. A discrete-event simulation model is developed to represent the real traffic light control (TLC) system condition during peak hours. Certain performance measures such as average waiting time and queue length were measured using the simulation model. Existing system uses pre-set cycle time to control the light changes which is fixed time cycle. In this research, we test several other combination of pre-set cycle time with the objective to find the best system. In addition, we plan to use a combination of the pre-set cycle time and a proximity sensor which have the authority to manipulate the cycle time of the lights. The sensors work in such situation when the street seems to have less occupied vehicles, obviously it may not need a normal cycle for green light, and automatically change the cycle to street where vehicle is present.

  14. A Dynamic Traffic Signal Timing Model and its Algorithm for Junction of Urban Road

    DEFF Research Database (Denmark)

    Cai, Yanguang; Cai, Hao

    2012-01-01

    As an important part of Intelligent Transportation System, the scientific traffic signal timing of junction can improve the efficiency of urban transport. This paper presents a novel dynamic traffic signal timing model. According to the characteristics of the model, hybrid chaotic quantum......-time and dynamic signal control of junction. To obtain the optimal solution of the model by hybrid chaotic quantum evolutionary algorithm, the model is converted to an easily solvable form. To simplify calculation, we give the expression of the partial derivative and change rate of the objective function...... such that the implementation of the algorithm only involves function assignments and arithmetic operations and thus avoids complex operations such as integral and differential. Simulation results show that the algorithm has less remain vehicles than Webster method, higher convergence rate and convergence speed than quantum...

  15. Sustainable solutions to improve road safety in The Netherlands : a `polder model' for a considerably safer road traffic system.

    NARCIS (Netherlands)

    Wegman, F.C.M. & Elsenaar, P.M.W.

    1997-01-01

    A new vision, called `sustainable road safety', has been introduced recently in The Netherlands, hopefully leading to roads and streets with risk rates which are considerably lower than today. The vision forms an essential part of the Dutch road safety policy today. The principles of this approach

  16. IRI performance models for recently constructed low and medium-traffic two lane roads of the province of Biscay

    Energy Technology Data Exchange (ETDEWEB)

    Perez Acebo, H.; Gonzalo-Orden, H.

    2016-07-01

    Reliable pavement prediction models are needed for pavement management systems (PMS), as they are a key component to forecast future conditions of the pavement and to prioritize maintenance, rehabilitation and reconstruction strategies. The International Roughness Index (IRI) is the most used parameter worldwide for calibrating pavement roughness and measures reasonably the ride comfort perceived by occupants of passenger cars. The Regional Government of Biscay also collects this value on the road network under its control These surveys are carried out regularly in the XXI century. Several IRI performance models have been proposed by different authors and administrations, varying greatly in their comprehensiveness, the ability to predict performance with accurancy and input data requirements. The aim of this paper is to develop a roughness performance model for Biscay's roads, based on availablbe IRI data, taking into account heavy traffic volume and the age of pavement. Local characteristics as climate conditions and average rainfall are not considered. IRI performance models have been suggested for regional two lane highways with low and medium heavy traffic constructed in the last 20 years in the province of Biscay, with no treatments during their life. They can be applied for flexible pavements, but no logical coherent results have been concluded for semi-rigid pavements. (Author)

  17. Road safety and road traffic accidents in Saudi Arabia

    OpenAIRE

    Mansuri, Farah A.; Al-Zalabani, Abdulmohsen H.; Zalat, Marwa M.; Qabshawi, Reem I.

    2015-01-01

    Objectives: To identify the changing trends and crucial preventive approaches to road traffic accidents (RTAs) adopted in the Kingdom of Saudi Arabia (KSA) over the last 2.5 decades, and to analyze aspects previously overlooked. Methods: This systematic review was based on evidence of RTAs in KSA. All articles published during the last 25 years on road traffic accident in KSA were analyzed. This study was carried out from December 2013 to May 2014 in the Department of Family and Community Med...

  18. Cost of Road Traffic Accidents in Egypt

    OpenAIRE

    Mohamed A. Ismail; Samar M. M. Abdelmageed

    2010-01-01

    The main objective of this paper is to estimate the cost of road traffic accidents in Egypt. The Human Capital (HC) approach, specifically the Gross-Loss-of-Output methodology, is adopted for estimation. Moreover, cost values obtained by previous national literature are updated using the inflation rates. The results indicate an estimated cost of road traffic accidents in Egypt of approximately 10 billion Egyptian Pounds (about $US 1.8 billion) for the year 2008. In addition, it is expected th...

  19. Improved road traffic emission inventories by adding mean speed distributions

    NARCIS (Netherlands)

    Smit, R.; Poelman, M.; Schrijver, J.

    2008-01-01

    Does consideration of average speed distributions on roads-as compared to single mean speed-lead to different results in emission modelling of large road networks? To address this question, a post-processing method is developed to predict mean speed distributions using available traffic data from a

  20. Temporal Patterns of Road Traffic Injuries in Iran.

    Science.gov (United States)

    Khorshidi, Ali; Ainy, Elaheh; Hashemi Nazari, Seyed Saeed; Soori, Hamid

    2016-06-01

    Road traffic injuries (RTIs) are the main causes of death and disability in Iran. However, very few studies about the temporal variations of RTIs have been published to date. This study was conducted to investigate the temporal pattern of RTIs in Iran in 2012. All road traffic accidents (RTAs) reported to traffic police during a one-year period (March 21, 2012 through March 21, 2013) were investigated after obtaining permission from the law enforcement force of the Islamic Republic of Iran. Distributions of RTAs were obtained for season, month, week, and hour scales, and for long holidays (more than one day) and the day prior to long holidays (DPLH). The final analysis was carried out using the Poisson regression model to calculate incidence rate ratios for RTIs. All analyses were conducted using STATA 13.1 and Excel software; statistical significance was set at P traffic accidents on DPLH was 1.20, compared to workdays as a reference category, and it was 1.40 for fatal crashes. The rate of fatal road traffic accidents in outer cities was 3.2 times higher than in inner ones. Our findings reveal that there are temporal variations in traffic accidents, and long holidays significantly influence accident rates. Traffic injuries have different patterns on outer/inner city roads, based on weekday and holiday status. Thus, these findings could be used to create effective initiatives aimed at traffic management.

  1. Iranian road traffic injury project: assessment of road traffic injuries in Iran in 2012.

    Science.gov (United States)

    Khorshidi, Ali; Ainy, Elaheh; Soori, Hamid; Sabbagh, Mohammad Mahdi

    2016-05-01

    To assess the status of road traffic injuries in Iran. The retrospective study was conducted in Iran and comprised all reported traffic accidents from March 2011 to March 2012 that were recorded in the national traffic accident database. The information collected included demographic data specific to road traffic accidents and injuries. The data was summarised and presented using frequencies and percentages. There were a total of 452192 road traffic accidents with 252246 victims in the one-year period. The highest number of accidents, 110348(47%), involved individuals in the 15-30 year age group. Among the gender-identified injured, 206171(78.4%) were male and 56639 (21.6%) were female. Besides, 298750(73.2%) accidents took place between 6am and 6pm. In terms of location, the province of Semnan had the highest rates of injury and death (913 per 100000 and 41per 100000, respectively), while the lowest rate of injury was in Alborz (131 per 100000) and lowest rate of death was in Tehran (5 per 100000). The majority of accidents 301516(66.7%) occurred on inner city roads. Although the total number of victims in inner city roads (180893) was higher than outer the city roads (2.2:1), the number of deaths (8615) on outer roads was higher (3:1). Road traffic injuries placed a heavy burden on the Iranian population, especially on young men. Comprehensive strategies and policies must be implemented for effective prevention of road accidents in Iran.

  2. THE AUTOMATED TRAFFIC MANAGEMENT ON ROAD TRANSPORT IN THE CITIES OF UKRAINE

    Directory of Open Access Journals (Sweden)

    V. S. Naumov

    2009-03-01

    Full Text Available The mathematic model of a cross-roads for projecting local automatic system of traffic control has been given. The software realization of model used in a module of automatic system of traffic control has been considered.

  3. Impact of Road Bends on Traffic Flow in a Single-Lane Traffic System

    Directory of Open Access Journals (Sweden)

    Zeng Junwei

    2014-01-01

    Full Text Available Taking the characteristics of road bends as a research object, this work proposes the cellular model (CA with road bends based on the NaSch model, with which the traffic flow is examined under different conditions, such as bend radius, bend arc length, and road friction coefficiency. The simulation results show that, with the increase of the bend radius, the peak flow will be continuously increased, and the fundamental diagram will become more similar to that of the classic NaSch model; the smaller the bend radius is, the easier it is for the occurrence of blockage; for different bend lengths, all the corresponding traffic flows show that the phenomenon of go-and-stop and the bends exert slight inhibitory effect on traffic flow; under the same bend radius, the inhibition effect of the bends on the traffic flow will be weakened with the increase of the friction coefficiency.

  4. Distraction-related road traffic collisions.

    Science.gov (United States)

    Eid, Hani O; Abu-Zidan, Fikri M

    2017-06-01

    We aimed to prospectively study distraction-related road traffic collision injuries, their contributory factors, severity, and outcome. Data were prospectively collected on all hospitalized road traffic collision trauma patients in Al-Ain City who were drivers at the collision time over one and half years. Driver's inattentive behaviors preceding the collision were collected by interviewing the admitted drivers. There were 444 drivers, 330 of them were fully oriented patients, out of them only 44 (13%) were distracted. Nineteen (5.8%) drivers were distracted by using mobile phones, 12 (3.6%) were pre-occupied with deep thinking, six (1.8%) were talking with other passengers, four (1.2%) were picking things in the vehicle, and three (0.9%) were using entertainment systems. The maximum distraction occurred during the time of 6 am - 12 noon when the traffic was crowded. There were no significant differences between distracted and non-distracted drivers in demographical and physiological factors, injured regions, and outcomes. Distraction of alert drivers causes 13% of road traffic collisions in Al-Ain city. About 40 percent of the distracted drivers involved in road traffic collisions (RTC) were using mobile phones. Our study supports the ban of use of cell phones while driving.

  5. Causes of road traffic accidents in Juba

    Directory of Open Access Journals (Sweden)

    Akway M. Cham

    2017-05-01

    Full Text Available Introduction: Road traffic accidents (RTAs are a major cause of death and disability in South Sudan. The purpose of this study was to investigate whether violation of traffic rules is the main cause of RTAs. Method: A cross sectional study design was used with quantitative data covering January – December 2014. The main objective of the research was to understand the epidemiology of RTAs in order to develop preventive measures. A total of 1725cases from road RTAs data were extracted from the directorate of traffic police Central Equatoria state Juba and Juba teaching hospital. Results: Most (99.5% of the RTA drivers were not under the influence of alcohol. Most accidents were caused by male drivers (99%. The highest number of RTAs took place in August (11%. Drivers of private vehicles caused most accidents (37%. Most drivers (46% were aged 20-30 years. RTAs occurred most often on city roads (89.83%. Conclusion: This leads us to conclude that a comprehensive safety system is needed that are premised on the idea of community-based awareness of traffic rules and safety regulations. Resources are limited so there is a need to harness local resources including the local community. More efforts are needed to improve road safety education among the youth/integrate safety into road design.

  6. Road maintenance planning using network flow modelling

    OpenAIRE

    Yang, Chao; Remenyte-Prescott, Rasa; Andrews, John

    2015-01-01

    This paper presents a road maintenance planning model that can be used to balance out maintenance cost and road user cost, since performing road maintenance at night can be convenient for road users but costly for highway agency. Based on the platform of the network traffic flow modelling, the traffic through the worksite and its adjacent road links is evaluated. Thus, maintenance arrangements at a worksite can be optimized considering the overall network performance. In addition, genetic alg...

  7. Road safety and road traffic accidents in Saudi Arabia

    Science.gov (United States)

    Mansuri, Farah A.; Al-Zalabani, Abdulmohsen H.; Zalat, Marwa M.; Qabshawi, Reem I.

    2015-01-01

    Objectives: To identify the changing trends and crucial preventive approaches to road traffic accidents (RTAs) adopted in the Kingdom of Saudi Arabia (KSA) over the last 2.5 decades, and to analyze aspects previously overlooked. Methods: This systematic review was based on evidence of RTAs in KSA. All articles published during the last 25 years on road traffic accident in KSA were analyzed. This study was carried out from December 2013 to May 2014 in the Department of Family and Community Medicine, Taibah University, Al-Madinah Al-Munawwarah, KSA. Results: Road traffic accidents accounted for 83.4% of all trauma admissions in 1984-1989, and no such overall trend was studied thereafter. The most frequently injured body regions as reported in the latest studies were head and neck, followed by upper and lower extremities, which was found to be opposite to that of the studies reported earlier. Hospital data showed an 8% non-significant increase in road accident mortalities in contrast to police records of a 27% significant reduction during the years 2005-2010. Excessive speeding was the most common cause reported in all recent and past studies. Conclusion: Disparity was common in the type of reporting of RTAs, outcome measures, and possible causes over a period of 2.5 decade. All research exclusively looked into the drivers’ faults. A sentinel surveillance of road crashes should be kept in place in the secondary and tertiary care hospitals for all regions of KSA. PMID:25828277

  8. Pattern of road traffic fatalities in Nairobi

    African Journals Online (AJOL)

    The Annals of African Surgery; Vol. 3, December 2008. 15. Abstract. BACKGROUND: Road traffic injuries continue ... sepsis and organ failure. Good critical care of injuries reduce these late deaths. Overall, 40% of trauma ... Materials and Methods. The study was conducted at the Kenyatta. National Hospital and Nairobi City ...

  9. Subjective Response to Road Traffic Noise.

    Science.gov (United States)

    Griffiths, I. D.; Langdon, F. J.

    A study consisting of acoustic measurements at fourteen sites in the London area and 1200 interviews dealing with the effects of the noise conditions prevailing at each of these sites has been carried out with the object of developing acceptability criteria for traffic noise from roads in residential areas. Dissatisfaction with the noise…

  10. Road traffic and cardiovascular health effects - Road traffic noise and air pollution

    NARCIS (Netherlands)

    Kluizenaar, Y. de; Miedema, H.M.E.

    2009-01-01

    Exposure to both environmental noise and air pollution has been associated with cardiovascular health effects. Until now, few studies have considered both stressors simultaneously. Two large studies were carried out investigating the relationship between road traffic noise and several cardiovascular

  11. The causes and prevalence of road traffic accidents amongst ...

    African Journals Online (AJOL)

    The study showed a prevalence of road traffic accidents of 47.9% in Benin City occurring more in day time and the common causes of road traffic accidents include careless driving, speed violation, brake failure, traffic violations, faulty overtaking, burst tyre, bad roads, alcohol use and armed robbery attack. Thus measures ...

  12. Road traffic accident: The neglected health problem in Amhara ...

    African Journals Online (AJOL)

    Background: Road traffic accident is a major but neglected public health challenge. There is a paucity of published data on road traffic crashes in Amhara National Regional State. Objective: This study attempts to describe the main causes and consequences of road traffic accidents in the Amhara Region. Methods: This ...

  13. Factors associated with severity of road traffic injuries, Thika, Kenya ...

    African Journals Online (AJOL)

    Background: Road traffic injuries continue to exert a huge burden on the health care system in Kenya. Few studies on the severity of road traffic injuries have been conducted in Kenya. We carried out a cross-sectional study to determine factors associated with severity of road traffic injuries in a public hospital in Thika district ...

  14. Factors Influencing Road Traffic Delay: Drivers' Perspectives And ...

    African Journals Online (AJOL)

    This study examined drivers' perception of road traffic delay attributes and factors influencing road traffic delay with a view to assessing loss of man hours along Lagos-Abeokuta Expressway. This view translated to policy statements that can tremendously reduce the road traffic delay in the study area. Primary data were ...

  15. Pedestrian Safety in Road Traffic in Poland

    Science.gov (United States)

    Budzynski, Marcin; Jamroz, Kazimierz; Mackun, Tomasz

    2017-10-01

    Every third road accident in Poland involves a pedestrian as a participant or, most of the time, a casualty. Pedestrian accidents are usually the result of complex situations and the outcome of a number of factors related to driver and pedestrian behaviour and road infrastructure. Safety depends largely on how well the traffic condition is perceived and on visibility in traffic. The paper presents the results of analyses of methodologies for systematic studies of pedestrian behaviour and pedestrian-driver relations. The effects of the location of the site, type of cross-section and other selected parameters on pedestrian and driver behaviour are demonstrated. The analyses showed that pedestrians are most often put at risk by too long pedestrian crossings, vehicles going too fast around pedestrian crossings, lack of proper sight distance and poorly lit or unlit pedestrian crossings. The reason for such defective infrastructure is that planners, designers, contractors and maintenance services are not receiving any support from design, marking and maintenance regulations for pedestrian traffic. In addition, the Road Traffic Law is not restrictive enough when it comes to drivers’ obligations towards pedestrian safety. Polish design regulations allow long pedestrian crossings up to four lanes in one direction or three lanes in two directions irrespective of traffic control and speed limits. Pedestrian crossings should be kept at a maximum of three lanes. There is nothing in the design regulations about the required driver-pedestrian sight distance. Neither does the Road Traffic Law help engineers with that. It is legal to park vehicles within 10 m of a pedestrian crossing which does not guarantee the necessary sight distance. Drivers must be able to see a pedestrian waiting or stepping onto the crossing from a distance that will help them come to a stop safely. It is safer to follow the principle of providing adequate pedestrian sight distance. Recommendations for

  16. Querying and Extracting Timeline Information from Road Traffic Sensor Data

    Science.gov (United States)

    Imawan, Ardi; Indikawati, Fitri Indra; Kwon, Joonho; Rao, Praveen

    2016-01-01

    The escalation of traffic congestion in urban cities has urged many countries to use intelligent transportation system (ITS) centers to collect historical traffic sensor data from multiple heterogeneous sources. By analyzing historical traffic data, we can obtain valuable insights into traffic behavior. Many existing applications have been proposed with limited analysis results because of the inability to cope with several types of analytical queries. In this paper, we propose the QET (querying and extracting timeline information) system—a novel analytical query processing method based on a timeline model for road traffic sensor data. To address query performance, we build a TQ-index (timeline query-index) that exploits spatio-temporal features of timeline modeling. We also propose an intuitive timeline visualization method to display congestion events obtained from specified query parameters. In addition, we demonstrate the benefit of our system through a performance evaluation using a Busan ITS dataset and a Seattle freeway dataset. PMID:27563900

  17. IMPROVEMENT OF ROAD TRAFFIC QUALITY IN ACCIDENT CLUSTERS

    Directory of Open Access Journals (Sweden)

    D. V. Kapsky

    2015-01-01

    Full Text Available Road traffic with its share from 2/3 to 3/4 of the total volume of transport service represents rather large and complicated social and production system with several subsystems that include roads, transport facilities, road traffic organization, law enforcement, personnel training, road traffic service and others. Road traffic quality can be quantitatively evaluated in accordance with values of losses pertaining to social and economic cost of discretionary (unenforced expenses for road traffic process. Road traffic contains accident, ecological, economic and social risks. Accidence is considered as the most important risk for participants involved in road traffic because it directly concerns their life, health and welfare. So accident response has rather high social significance and it is considered as a matter of national importance. In this connection role of road traffic organization has become very important and it is directed on improvement of its quality including security in the accident clusters.Methodological principles for improvement of road traffic quality have been developed in the paper. These principles presuppose the following: maximization of danger while selecting investigation object; minimization of total losses while evaluating quality and selecting solutions on improvement in road traffic safety; balanced accountability of accidental and ecological losses while selecting solutions on higher road traffic safety in ambiguous situations; minimization of total cost pertaining to object operation while selecting measures on improvement of road traffic safety; obligatory operative control evaluation of accidence on the basis of method for conflict situations while introducing measures of road traffic safety. Such approaches will contribute to higher quality of the decisions taken in the field of road traffic organization.

  18. Temporal Patterns of Road Traffic Injuries in Iran

    Science.gov (United States)

    Khorshidi, Ali; Ainy, Elaheh; Hashemi Nazari, Seyed Saeed; Soori, Hamid

    2016-01-01

    Background Road traffic injuries (RTIs) are the main causes of death and disability in Iran. However, very few studies about the temporal variations of RTIs have been published to date. Objectives This study was conducted to investigate the temporal pattern of RTIs in Iran in 2012. Materials and Methods All road traffic accidents (RTAs) reported to traffic police during a one-year period (March 21, 2012 through March 21, 2013) were investigated after obtaining permission from the law enforcement force of the Islamic Republic of Iran. Distributions of RTAs were obtained for season, month, week, and hour scales, and for long holidays (more than one day) and the day prior to long holidays (DPLH). The final analysis was carried out using the Poisson regression model to calculate incidence rate ratios for RTIs. All analyses were conducted using STATA 13.1 and Excel software; statistical significance was set at P accidents was 219 per 10,000 registered vehicles, or 595 per 100,000 people. About 28% of all RTAs, and more than one third of fatal RTAs, occurred during the summer months. The incidence rate for all traffic accidents on DPLH was 1.20, compared to workdays as a reference category, and it was 1.40 for fatal crashes. The rate of fatal road traffic accidents in outer cities was 3.2 times higher than in inner ones. Conclusions Our findings reveal that there are temporal variations in traffic accidents, and long holidays significantly influence accident rates. Traffic injuries have different patterns on outer/inner city roads, based on weekday and holiday status. Thus, these findings could be used to create effective initiatives aimed at traffic management. PMID:27703958

  19. Road Traffic and Railway Noise Exposures and Adiposity in Adults

    DEFF Research Database (Denmark)

    Christensen, Jeppe S; Raaschou-Nielsen, Ole; Tjønneland, Anne

    2016-01-01

    . RESULTS: Linear regression models adjusted for age, sex, and socioeconomic factors showed that 5-year mean road traffic noise exposure preceding enrollment was associated with a 0.35-cm wider waist circumference (95% CI: 0.21, 0.50) and a 0.18-point higher BMI (95% CI: 0.12, 0.23) per 10 dB. Small...

  20. Does Temperature Modify the Effects of Rain and Snow Precipitation on Road Traffic Injuries?

    Science.gov (United States)

    Lee, Won-Kyung; Lee, Hye-Ah; Hwang, Seung-sik; Kim, Ho; Lim, Youn-Hee; Hong, Yun-Chul; Ha, Eun-Hee; Park, Hyesook

    2015-01-01

    There are few data on the interaction between temperature and snow and rain precipitation, although they could interact in their effects on road traffic injuries. The integrated database of the Korea Road Traffic Authority was used to calculate the daily frequency of road traffic injuries in Seoul. Weather data included rain and snow precipitation, temperature, pressure, and fog from May 2007 to December 2011. Precipitation of rain and snow were divided into nine and six temperature range categories, respectively. The interactive effects of temperature and rain and snow precipitation on road traffic injuries were analyzed using a generalized additive model with a Poisson distribution. The risk of road traffic injuries during snow increased when the temperature was below freezing. Road traffic injuries increased by 6.6% when it was snowing and above 0 °C, whereas they increased by 15% when it was snowing and at or below 0 °C. In terms of heavy rain precipitation, moderate temperatures were related to an increased prevalence of injuries. When the temperature was 0-20 °C, we found a 12% increase in road traffic injuries, whereas it increased by 8.5% and 6.8% when it was 20 °C, respectively. The interactive effect was consistent across the traffic accident subtypes. The effect of adverse weather conditions on road traffic injuries differed depending on the temperature. More road traffic injuries were related to rain precipitation when the temperature was moderate and to snow when it was below freezing.

  1. Traffic Accidents on Slippery Roads

    DEFF Research Database (Denmark)

    Fonnesbech, J. K.; Bolet, Lars

    2014-01-01

    Police registrations from 65 accidents on slippery roads in normally Danish winters have been studied. The study showed: • 1 accident per 100 km when using brine spread with nozzles • 2 accidents per 100 km when using pre wetted salt • 3 accidents per 100 km when using kombi spreaders The results...... of brine with nozzles is precision spreading, while spreading of salt with rotation plate are very imprecise; you can measure 80% residual salt when using brine and only 40% when using pre wetted salt. Of course the result would be worse if dry (solid) salt were used on dry roads. A winter route in Denmark...... of accidents in normally Danish winter seasons are remarkable alike the amount of salt used in praxis in the winter 2011/2012. • 2.7 ton NaCl/km when using brine spread with nozzles • 5 ton NaCl/km when using pre wetted salt. • 5.7 ton NaCl/km when using kombi spreaders The explanation is that spreading...

  2. Basic characteristics of road traffic deaths in china.

    Science.gov (United States)

    Zhang, Xujun; Yao, Hongyan; Hu, Guoqing; Cui, Mengjing; Gu, Yue; Xiang, Huiyun

    2013-01-01

    This study is to report characteristics of people killed in road traffic crashes and to describe major patterns of traffic crashes in China. Descriptive and inferential statistical analyses were conducted. Road traffic death national data, population denominator data and motor vehicles data of 2009 were obtained from the Bureau of Traffic Management at Ministry of Public Security and National Bureau of Statistics. The association between the fatalities from road traffic crashes and selected demographic factors, the time distribution, crash patterns, crash causes, and road user category were assessed in χ(2) analyses. ROAD TRAFFIC CRASHES IN CHINA DISPROPORTIONABLY AFFECTED THE FOLLOWING POPULATIONS: males, persons 21-65 yr of age and adults aged more than 65 yr, persons living in rural areas, pedestrians, passengers, motorcyclists and bicyclists. Approximately 50% of fatalities of road traffic crash occurred in Eastern regions. The number of road traffic deaths was higher in daytime than in nighttime. Road traffic deaths in frontal crashes, side-to-side crash and crashes with an object or a person were more common than in rear-end crashes. In about 92% of road traffic deaths, auto drivers were believed to be responsible for the fatal crash. Major crash causing factors were speeding, careless driving, driving without a license, driving in the wrong lane, and driving after drinking alcohol. Road traffic deaths accounted for about 70,000 premature deaths in China which should be taken into account.

  3. Combined effects of road traffic noise and ambient air pollution in relation to risk for stroke?

    DEFF Research Database (Denmark)

    Sørensen, Mette; Lühdorf, Pernille; Ketzel, Matthias

    2014-01-01

    Exposure to road traffic noise and air pollution have both been associated with risk for stroke. The few studies including both exposures show inconsistent results. We aimed to investigate potential mutual confounding and combined effects between road traffic noise and air pollution in association...... to 2009 were identified in national registers and road traffic noise and air pollution were modeled for all addresses. Analyses were done using Cox regression. A higher mean annual exposure at time of diagnosis of 10µg/m(3) nitrogen dioxide (NO2) and 10dB road traffic noise at the residential address...... was found for combination of high noise and high NO2 (IRR=1.28; 95% CI=1.09-1.52). Fatal stroke was positively associated with air pollution and not with traffic noise. In conclusion, in mutually adjusted models road traffic noise and not air pollution was associated ischemic stroke, while only air...

  4. Road traffic accidents in Saudi Arabia.

    Science.gov (United States)

    Shanks, N J; Ansari, M; al-Kalai, D

    1994-01-01

    Road traffic accidents are a major health hazard in Saudi Arabia, particularly during Ramadan. The ensuing trauma has increased in direct proportion to the increase in the number of road vehicles. An audit of RTAs over a one-year period revealed that, out of 361 victims, 16% were under 10 years and 47% between 11 and 30 years. None of those involved in accidents was wearing a seat belt. Half of the children injured were pedestrians. There was a male to female ratio of 4:1 reflecting the driving laws in Saudi Arabia. Burst tyres due to intense heat were identified as a common cause (39%) of accidents. The introduction of seat belt legislation and stricter law enforcement should lead to a rapid reduction in morbidity and mortality on the roads in Saudi Arabia.

  5. ACCOUNT OF ROAD CONDITIONS WHILE INVESTIGATING TRAFFIC ACCIDENTS

    Directory of Open Access Journals (Sweden)

    D. D. Selioukov

    2010-01-01

    Full Text Available The paper considers problems on better traffic safety at government, authority, engineering and driver activity levels, account of road conditions while investigating traffic accidents. The paper also provides road defects mentioned in forensic transport examinations of traffic accidents.

  6. Epidemiology of Deaths from Road Traffic Accidents in Nigeria: A ...

    African Journals Online (AJOL)

    The purpose of this study is to examine the epidemiology of deaths from Road Traffic Accidents (RTAs) in Nigeria using Lagos State as a baseline study and to suggest preventive and corrective safety measures towards reducing the traffic accidents in the study area. The reported number of deaths from road traffic accidents ...

  7. Road Transportation and Traffic Law Enforcement in Nigeria: A case ...

    African Journals Online (AJOL)

    Road Transportation and Traffic Law Enforcement in Nigeria was established in order to reduce the increasing road crashes and fatalities as well as making road users comply with traffic Laws and regulations as a counter measure, which remain as a great challenge in Nigeria. This paper discussed the roles of the Federal ...

  8. Examining Road Traffic Mortality Status in China: A Simulation Study.

    Science.gov (United States)

    Huang, Helai; Yin, Qingyi; Schwebel, David C; Li, Li; Hu, Guoqing

    2016-01-01

    Data from the Chinese police service suggest substantial reductions in road traffic injuries since 2002, but critics have questioned the accuracy of those data, especially considering conflicting data reported by the health department. To address the gap between police and health department data and to determine which may be more accurate, we conducted a simulation study based on the modified Smeed equation, which delineates a non-linear relation between road traffic mortality and the level of motorization in a country or region. Our goal was to simulate trends in road traffic mortality in China and compare performances in road traffic safety management between China and 13 other countries. Chinese police data indicate a peak in road traffic mortalities in 2002 and a significant and a gradual decrease in population-based road traffic mortality since 2002. Health department data show the road traffic mortality peaked in 2012. In addition, police data suggest China's road traffic mortality peaked at a much lower motorization level (0.061 motor vehicles per person) in 2002, followed by a reduction in mortality to a level comparable to that of developed countries. Simulation results based on health department data suggest high road traffic mortality, with a mortality peak in 2012 at a moderate motorization level (0.174 motor vehicles per person). Comparisons to the other 13 countries suggest the health data from China may be more valid than the police data. Our simulation data indicate China is still at a stage of high road traffic mortality, as suggested by health data, rather than a stage of low road traffic mortality, as suggested by police data. More efforts are needed to integrate safety into road design, improve road traffic management, improve data quality, and alter unsafe behaviors of pedestrians, drivers and passengers in China.

  9. Research and Application of the Beijing Road Traffic Prediction System

    Directory of Open Access Journals (Sweden)

    Ruimin Li

    2014-01-01

    Full Text Available As an important part of the urban Advanced Traffic Management Systems (ATMS and Advanced Traveler Information Systems (ATIS, short-term road traffic prediction system has received special attention in recent decades. The success of ATMS and ATIS technology deployment is heavily dependent on the availability of timely and accurate estimation or prediction of prevailing and emerging traffic conditions. We studied a real-time road traffic prediction system developed for Beijing based on various traffic detection systems. The logical architecture of the system was presented, including raw data level, data processing and calculation level, and application level. Four key function servers were introduced, namely, the database server, calculation server, Geographic Information System (GIS server, and web application server. The functions, function modules, and the data flow of the proposed traffic prediction system were analyzed, and subsequently prediction models used in this system are described. Finally, the prediction performance of the system in practice was analyzed. The application of the system in Beijing indicated that the proposed and developed system was feasible, robust, and reliable in practice.

  10. Contribution of road traffic to ambient fine particle concentrations (PM{sub 10}) in Switzerland

    Energy Technology Data Exchange (ETDEWEB)

    Hueglin, Ch.; Devos, W.; Gehrig, R.; Hofer, P.; Kobler, J. [Swiss Federal Laboratoires for Materials Testing and Research, EMPA, Dubendorf (Switzerland); Stahel, W.A. [Seminar for Statistics, ETH Zurich (Switzerland); Baltensperger, U. [Paul Scherrer Institute, Villigen PSI (Switzerland); Monn, Ch. [Institute for Hygiene and Applied Physiology, ETH Zurich (Switzerland)

    2000-07-01

    A multivariate receptor model was applied to estimate the contribution of road traffic to ambient levels of fine particles (PM{sub 10}) at different locations in Switzerland. At two roadside sites with heavy local traffic, the road traffic was found to account for 46% and 64% of PM{sub 10}. At an urban background site, the estimated average road traffic contribution was 34%, whereas a slightly higher value was obtained at a suburban site (36%). This results are in good agreement with the findings of a recent study, where a conceptually different approach (dispersion modelling) was applied. (authors)

  11. Road traffic flow and impact on environment in Hyderabad city

    International Nuclear Information System (INIS)

    Memon, Zaheer-ud-Din; Ansari, A.K.; Memon, S.A.

    2000-01-01

    In Hyderabad city due to dramatic increase in traffic intensity on the roads, traffic flow have been much beyond the comfortable limits. High values of traffic flow density have been recorded on Court Road (34.05%), Tilak Road (19.87%), Risala Road (22.91%) and Cafe George (23.14%) of Hyderabad city. Above 80% people are found to be annoyed due to traffic congestion, noise and smoke resulting in health ailments. Slow Moving Vehicles (SMVs) comprising of animal and hand drawn vehicles (rehras) cause serious disruption in the traffic stream on city roads, which are ultimately causing traffic-jam condition resulting a serious impact on environment. No definite parking places exist for public vehicles because of encroachment on roads. Proper foot paths are not available for pedestrian, which results in increase in accidents. (author)

  12. Developing a Model for Forecasting Road Traffic Accident (RTA Fatalities in Yemen

    Directory of Open Access Journals (Sweden)

    Karim Fareed M. A.

    2017-12-01

    Full Text Available The aim of this paper is to develop a model for forecasting RTA fatalities in Yemen. The yearly fatalities was modeled as the dependent variable, while the number of independent variables included the population, number of vehicles, GNP, GDP and Real GDP per capita. It was determined that all these variables are highly correlated with the correlation coefficient (r ≈ 0.9; in order to avoid multicollinearity in the model, a single variable with the highest r value was selected (real GDP per capita. A simple regression model was developed; the model was very good (R2=0.916; however, the residuals were serially correlated. The Prais-Winsten procedure was used to overcome this violation of the regression assumption. The data for a 20-year period from 1991-2010 were analyzed to build the model; the model was validated by using data for the years 2011-2013; the historical fit for the period 1991 - 2011 was very good. Also, the validation for 2011-2013 proved accurate.

  13. Developing a Model for Forecasting Road Traffic Accident (RTA) Fatalities in Yemen

    Science.gov (United States)

    Karim, Fareed M. A.; Abdo Saleh, Ali; Taijoobux, Aref; Ševrović, Marko

    2017-12-01

    The aim of this paper is to develop a model for forecasting RTA fatalities in Yemen. The yearly fatalities was modeled as the dependent variable, while the number of independent variables included the population, number of vehicles, GNP, GDP and Real GDP per capita. It was determined that all these variables are highly correlated with the correlation coefficient (r ≈ 0.9); in order to avoid multicollinearity in the model, a single variable with the highest r value was selected (real GDP per capita). A simple regression model was developed; the model was very good (R2=0.916); however, the residuals were serially correlated. The Prais-Winsten procedure was used to overcome this violation of the regression assumption. The data for a 20-year period from 1991-2010 were analyzed to build the model; the model was validated by using data for the years 2011-2013; the historical fit for the period 1991 - 2011 was very good. Also, the validation for 2011-2013 proved accurate.

  14. Road traffic congestion a concise guide

    CERN Document Server

    Falcocchio, John C

    2015-01-01

    This book on road traffic congestion in cities and suburbs describes congestion problems and shows how they can be relieved. The first part (Chapters 1 - 3) shows how congestion reflects transportation technologies and settlement patterns. The second part (Chapters 4 - 13) describes the causes, characteristics, and consequences of congestion. The third part (Chapters 14 - 23) presents various relief strategies - including supply adaptation and demand mitigation - for nonrecurring and recurring congestion. The last part (Chapter 24) gives general guidelines for congestion relief and provides a general outlook for the future. The book will be useful for a wide audience - including students, practitioners and researchers in a variety of professional endeavors: traffic engineers, transportation planners, public transport specialists, city planners, public administrators, and private enterprises that depend on transportation for their activities.  

  15. Risk factors for road traffic accidents in Gulu municipality, Uganda ...

    African Journals Online (AJOL)

    There has been no published study on RTA in Gulu municipality. There is a high frequency of RTA in Gulu municipality with poor road design and inadequate knowledge on road safety precaution among road users. Objectives: To establish the causes of Road Traffic Accidents (RTA), establish the safety measures in place ...

  16. Urban snow indicates pollution originating from road traffic.

    Science.gov (United States)

    Kuoppamäki, Kirsi; Setälä, Heikki; Rantalainen, Anna-Lea; Kotze, D Johan

    2014-12-01

    Traffic is a major source of pollutants in cities. In this well-replicated study we analysed a broad array of contaminants in snowpacks along roads of different traffic intensities. The majority of pollutants showed a similar pattern with respect to traffic intensity: pH and conductivity as well as concentrations of PAHs, total suspended solids, phosphorus and most heavy metals were higher next to high intensity roads compared to low intensity roads. These pollutant levels also decreased considerably up to 5 m distance from the roads. Furthermore, apart from nitrogen, these variables increased in concentration from control sites in urban forest patches to road bank sites next to roads of low, intermediate and high traffic intensities. The deposition pattern of various traffic-derived pollutants--whether gaseous or particle-bound--was the same. Such information can be useful for the purposes of managing pollutants in urban areas. Copyright © 2014 Elsevier Ltd. All rights reserved.

  17. [The significance of the results of crash-tests with the use of the models of the pedestrians' lower extremities for the prevention of the traffic road accidents].

    Science.gov (United States)

    Smirenin, S A; Fetisov, V A; Grigoryan, V G; Gusarov, A A; Kucheryavets, Yu O

    The disabling injuries inflicted during road traffic accidents (RTA) create a serious challenge for the public health services and are at the same time a major socio-economic problem in the majority of the countries throughout the world. The injuries to the lower extremities of the pedestrians make up the largest fraction of the total number of the non-lethal RTA injuries. Most of them are responsible for the considerable deterioration of the quality of life for the participants in the accidents during the subsequent period. The objective of the present study was to summarize the currently available results of experimental testing of the biomechanical models of the pedestrians' lower extremities in the framework of the program for the prevention of the road traffic accidents as proposed by the World Health Organization (WHO, 2004). The European Enhanced Safety Vehicle Committee (EEVC) has developed a series of crash-tests with the use of the models of the pedestrians' lower extremities simulating the vehicle bumper-pedestrian impact. The models are intended for the assessment of the risk of the tibia fractures and the injuries to the knee joint ligaments. The experts of EEVC proposed the biomechanical criteria for the acceleration of the knee and talocrural parts of the lower limbs as well as for the shear displacement of the knee and knee-bending angle. The engineering solution of this problem is based on numerous innovation proposals being implemented in the machine-building industry with the purpose of reducing the stiffness of structural elements of the bumper and other front components of a modern vehicle designed to protect the pedestrians from severe injuries that can be inflicted in the road traffic accidents. The activities of the public health authorities (in the first place, bureaus of forensic medical expertise and analogous facilities) have a direct bearing on the solution of the problem of control of road traffic injuries because they are possessed of

  18. The relationship between traffic volume and road safety on the secondary road network : a literature review.

    NARCIS (Netherlands)

    Duivenvoorden, K.

    2010-01-01

    On motorways, congestion is a well-known traffic problem. On the secondary road network, the same problem arises when traffic volume increases and the driven speed decreases. At certain times of day, roads get congested and the number of interactions between road users increases. In general, higher

  19. Specific features of goal setting in road traffic safety

    Science.gov (United States)

    Kolesov, V. I.; Danilov, O. F.; Petrov, A. I.

    2017-10-01

    Road traffic safety (RTS) management is inherently a branch of cybernetics and therefore requires clear formalization of the task. The paper aims at identification of the specific features of goal setting in RTS management under the system approach. The paper presents the results of cybernetic modeling of the cause-to-effect mechanism of a road traffic accident (RTA); in here, the mechanism itself is viewed as a complex system. A designed management goal function is focused on minimizing the difficulty in achieving the target goal. Optimization of the target goal has been performed using the Lagrange principle. The created working algorithms have passed the soft testing. The key role of the obtained solution in the tactical and strategic RTS management is considered. The dynamics of the management effectiveness indicator has been analyzed based on the ten-year statistics for Russia.

  20. Using Probe Vehicle Data for Automatic Extraction of Road Traffic Parameters

    Directory of Open Access Journals (Sweden)

    Roman Popescu Maria Alexandra

    2016-12-01

    Full Text Available Through this paper the author aims to study and find solutions for automatic detection of traffic light position and for automatic calculation of the waiting time at traffic light. The first objective serves mainly the road transportation field, mainly because it removes the need for collaboration with local authorities to establish a national network of traffic lights. The second objective is important not only for companies which are providing navigation solutions, but especially for authorities, institutions, companies operating in road traffic management systems. Real-time dynamic determination of traffic queue length and of waiting time at traffic lights allow the creation of dynamic systems, intelligent and flexible, adapted to actual traffic conditions, and not to generic, theoretical models. Thus, cities can approach the Smart City concept by boosting, efficienting and greening the road transport, promoted in Europe through the Horizon 2020, Smart Cities, Urban Mobility initiative.

  1. Multilane Traffic Flow Modeling Using Cellular Automata Theory

    Science.gov (United States)

    Chechina, Antonina; Churbanova, Natalia; Trapeznikova, Marina

    2018-02-01

    The paper deals with the mathematical modeling of traffic flows on urban road networks using microscopic approach. The model is based on the cellular automata theory and presents a generalization of the Nagel-Schreckenberg model to a multilane case. The created program package allows to simulate traffic on various types of road fragments (T or X type intersection, strait road elements, etc.) and on road networks that consist of these elements. Besides that, it allows to predict the consequences of various decisions regarding road infrastructure changes, such as: number of lanes increasing/decreasing, putting new traffic lights into operation, building new roads, entrances/exits, road junctions.

  2. Factors associated with road traffic injuries in Tanzania | Boniface ...

    African Journals Online (AJOL)

    Introduction: injuries represent a significant cause of morbidity and mortality worldwide and road traffic crashes accounts for a significant proportion of these injuries. Tanzania is among the countries with high rates of road traffic crashes. The aim of this study was to determine the pattern, associated factors and management ...

  3. Distraction-related road traffic collisions | Eid | African Health Sciences

    African Journals Online (AJOL)

    Objectives: We aimed to prospectively study distraction-related road traffic collision injuries, their contributory factors, severity, and outcome. Methods: Data were prospectively collected on all hospitalized road traffic collision trauma patients in Al-Ain City who were drivers at the collision time over one and half years. Driver's ...

  4. Game Theoretic Analysis of Road Traffic Problems in Nigeria ...

    African Journals Online (AJOL)

    Chaotic road traffic situation in most Nigerian and African cities and roads is a nightmare, and a significant proportion of the cost of goods and services is attributed to this. A general feature is that these problems are due to tyranny of small decisions by motorists and some other citizens, hence, traffic problems in Nigeria are ...

  5. Maxillofacial trauma due to road traffic accidents in Benin City ...

    African Journals Online (AJOL)

    Head injury (55.8%) was the commonest associated injury. Conclusion: The low utilization of safety devices like seat belts and air bags as well as the absence and non-enforcement of road traffic legislation were identified as aetiological factors. Keywords: Aetiologic factors, maxillofacial trauma, road traffic accidents

  6. Road lighting and traffic safety : a functional approach.

    NARCIS (Netherlands)

    Schreuder, D.A.

    1970-01-01

    Requirements to be made on the traffic facilities in order to reduce the number of night-time accidents are covered. Traffic facilities include apart from public lighting and road lighting by means of headlamps of vehicles, also road markings and signs, marker lights, catadioptric devices and

  7. Pattern of road traffic fatalities in Nairobi | Okemwa | Annals of ...

    African Journals Online (AJOL)

    Background: Road traffic injuries continue to exert a huge burden on Kenya's healthcare services. Over 134,000 crashes occur on the Kenyan roads killing more than 2,600 and seriously injuring 11,000 people annually. Injury pattern among traffic trauma admissions have been recently described while that of fatalities ...

  8. The Built Environment, Motorisation and Road Traffic Safety in ...

    African Journals Online (AJOL)

    This paper discusses explanations of road traffic accidents as part of a wider debate on the built environment, motorization and road traffic safety in Tanzania. It exposes the shortcomings in traditional explanations based on cultural, modernization and systems theory approaches; and outlines an alternative explanation ...

  9. Disability related to road traffic crashes among adults in Spain

    Directory of Open Access Journals (Sweden)

    Rocío Palmera-Suárez

    2015-09-01

    Conclusions: The prevalence of disability due to road traffic accidents in Spain is lower than in other developed countries, with middle-aged and socio-economically underprivileged persons being the most affected. Disability due to road traffic accidents is related to a greater demand for social/health care support, problems of accessibility/commuting, and major changes in economic activity.

  10. Pregnancy outcome in women involved in road traffic accidents in ...

    African Journals Online (AJOL)

    Background: Road traffic accidents (RTA) are common in Nigeria. Pregnant mothers could be involved in such accidents and this might affect pregnancy outcome. Method: A retrospective analysis of pregnant mothers admitted at Usmanu Danfodiyo University Teaching Hospital, Sokoto, Nigeria because of road traffic ...

  11. Road Transport Policy And Traffic Management In Nigeria ...

    African Journals Online (AJOL)

    It is in the light of the above consideration and context that this study; Road Transport policy and Traffic management in Nigeria, Directorate of Road Traffic Service (DRTS) Federal Capital Territory Abuja in Perspective can conveniently be situated. The study brings into focus for better appreciation, the important roles of the ...

  12. Game Theoretic Analysis of Road Traffic Problems in Nigeria (Pp ...

    African Journals Online (AJOL)

    User

    2011-05-20

    May 20, 2011 ... Chaotic road traffic situation in most Nigerian and African cities and roads is a nightmare, and a significant ... of small decisions. Such situations arise because people frequently attach more weight to their ..... politicians must obey traffic regulations completely and stop bullying other motorists. Government ...

  13. Road Traffic Accidents in Nigeria: A Public Health Problem

    African Journals Online (AJOL)

    include driver behaviour, visual and auditory acuity, decision making ability and reaction speed. Drug and alcohol use while driving is an obvious predictor of road traffic accident, road traffic injury and death . Speeding, travelling too fast for prevailing conditions or above the speed limit, is also a driver factor that contributes ...

  14. Model for traffic emissions estimation

    Science.gov (United States)

    Alexopoulos, A.; Assimacopoulos, D.; Mitsoulis, E.

    A model is developed for the spatial and temporal evaluation of traffic emissions in metropolitan areas based on sparse measurements. All traffic data available are fully employed and the pollutant emissions are determined with the highest precision possible. The main roads are regarded as line sources of constant traffic parameters in the time interval considered. The method is flexible and allows for the estimation of distributed small traffic sources (non-line/area sources). The emissions from the latter are assumed to be proportional to the local population density as well as to the traffic density leading to local main arteries. The contribution of moving vehicles to air pollution in the Greater Athens Area for the period 1986-1988 is analyzed using the proposed model. Emissions and other related parameters are evaluated. Emissions from area sources were found to have a noticeable share of the overall air pollution.

  15. Road-traffic noise: annoyance, risk perception, and noise sensitivity in the Finnish adult population.

    Science.gov (United States)

    Okokon, Enembe Oku; Turunen, Anu W; Ung-Lanki, Sari; Vartiainen, Anna-Kaisa; Tiittanen, Pekka; Lanki, Timo

    2015-05-26

    Exposure to road-traffic noise commonly engenders annoyance, the extent of which is determined by factors not fully understood. Our aim was to estimate the prevalence and determinants of road-traffic noise annoyance and noise sensitivity in the Finnish adult population, while comparing the perceptions of road-traffic noise to exhausts as environmental health problems. Using a questionnaire that yielded responses from 1112 randomly selected adult Finnish respondents, we estimated road-traffic noise- and exhausts-related perceived exposures, health-risk perceptions, and self-reported annoyance on five-point scales, while noise sensitivity estimates were based on four questions. Determinants of noise annoyance and sensitivity were investigated using multivariate binary logistic regression and linear regression models, respectively. High or extreme noise annoyance was reported by 17% of respondents. Noise sensitivity scores approximated a Gaussian distribution. Road-traffic noise and exhausts were, respectively, considered high or extreme population-health risks by 22% and 27% of respondents. Knowledge of health risks from traffic noise, OR: 2.04 (1.09-3.82) and noise sensitivity, OR: 1.07 (1.00-1.14) were positively associated with annoyance. Knowledge of health risks (proad-traffic noise, and perceive it to be a significant health risk, almost comparable to traffic exhausts. There is no distinct noise-sensitive population subgroup. Knowledge of health risks of road-traffic noise, and attitudinal variables are associated with noise annoyance and sensitivity.

  16. Saving lives in road traffic-ethical aspects.

    Science.gov (United States)

    Nihlén Fahlquist, Jessica

    2009-12-01

    AIM: This article aims at giving an overview of five ethical problem areas relating to traffic safety, thereby providing a general framework for analysing traffic safety from an ethical perspective and encouraging further discussion concerning problems, policies and technology in this area. SUBJECTS AND METHODS: The problems presented in the article are criminalisation, paternalism, privacy, justice and responsibility, and the reasons for choosing these are the following. First, they are all important areas in moral philosophy. Second, they are fairly general and it should be possible to categorise more specific problems under these headings. Ethical aspects of road traffic have not received the philosophical attention they deserve. Every year, more than 1 million people die globally in traffic accidents, and 20 to 50 million people are injured. Ninety per cent of the road traffic fatalities occur in low- and middle-income countries, where it is a growing problem. Politics, economics, culture and technology affect the number of fatalities and injuries, and the measures used to combat deaths in traffic as well as the role of road traffic should be ethically scrutinised. The topics are analysed and discussed from a moral-philosophical perspective, and the discussion includes both theory and applications. RESULTS AND CONCLUSION: The author concludes with some thoughts on how the ethical discussion can be included in the public debate on how to save lives in road traffic. People in industrialised societies are so used to road traffic that it is almost seen as part of nature. Consequently, we do not acknowledge that we can introduce change and that we can affect the role we have given road traffic and cars. By acknowledging the ethical aspects of road traffic and illuminating the way the choices society makes are ethically charged, it becomes clear that there are alternative ways to design the road traffic system. The most important general conclusion is that discussion

  17. Increase the Safety of Road Traffic Accidents by Applying Clustering

    Directory of Open Access Journals (Sweden)

    Kos Goran

    2013-12-01

    Full Text Available In terms of continual increase of number of traffic accidents and alarming trend of increasing number of traffic accidents with catastrophic consequences for human life and health, it is necessary to actively research and develop methods to combat these trends. One of the measures is the implementation of advanced information systems in existing traffic environment. Accidents clusters, as databases of traffic accidents, introduce a new dimension in traffic systems in the form of experience, providing information on current accidents and the ones that have previously occurred in a given period. This paper proposes a new approach to predictive management of traffic processes, based on the collection of data in real time and is based on accidents clusters. The modern traffic information services collects road traffic status data from a wide variety of traffic sensing systems using modern ICT technologies, creating the most accurate road traffic situation awareness achieved so far. Road traffic situation awareness enhanced by accident clusters' data can be visualized and distributed in various ways (including the forms of dynamic heat maps and on various information platforms, suiting the requirements of the end-users. Accent is placed on their significant features that are based on additional knowledge about existing traffic processes and distribution of important traffic information in order to prevent and reduce traffic accidents.

  18. Relaxing Synchronization in Parallel Agent-Based Road Traffic Simulation

    NARCIS (Netherlands)

    Xu, Y.; Cai, W.; Aydt, H.; Lees, M.; Zehe, D.

    Large-scale agent-based traffic simulation is computationally intensive. Parallel computing can help to speed up agent-based traffic simulation. Parallelization of agent-based traffic simulations is generally achieved by decomposing the road network into subregions. The agents in each subregion are

  19. Agricultural Vehicles and Rural Road Traffic Safety: an Engineering Challenge

    NARCIS (Netherlands)

    Jaarsma, C.F.; Vries, de J.R.

    2012-01-01

    Road collisions are a problem world-wide. Related to the kilometers traveled on public roads agricultural vehicles (AVs) are over-represented in reported numbers of traffic victims. We aim to investigate how agricultural engineering can reduce accidents with AVs involved on public roads. We

  20. Effects of traffic infrastructure and road design on safe driving

    NARCIS (Netherlands)

    Horst, A.R.A. van der

    2014-01-01

    One of the building blocks of the Dutch success in road safety is the Sustainable Safety approach. This philosophy specifies that road safety should be a design requirement in road traffic with a focus on the use of human characteristics as a starting point, considering both humans’ physical

  1. EDITORIAL Road traffic accident: A major public health problem in ...

    African Journals Online (AJOL)

    admin

    Road traffic accident: A major public health problem in Ethiopia. Damen Haile Mariam1. One of the articles in this issue ... WHO's 2009 global status report on road safety, the road crash fatality rate in Ethiopia was at least ... safety management and on major risk factors in the country. However, they seem to be largely.

  2. Pattern And Outcome Of Road Traffic Accidents In A Suburban ...

    African Journals Online (AJOL)

    Conclusion: The epidemiology of cases of road traffic accident in this community reveals several areas of prevention. There is the need for health education for the road users to keep to the rules that will ensure road safety. There is also the need to health educate our patients against the common practice of discharge ...

  3. Road traffic injuries at Kigali University Central Teaching Hospital ...

    African Journals Online (AJOL)

    Background: Injury and deaths due to road traffic crashes are a major public health problem in developing countries. More than 3000 people die on the world's roads every day. Tens of millions of people are injured or disabled every year. Children, pedestrians, cyclists and the elderly are among the most vulnerable of road ...

  4. Road Transportation and Traffic Law Enforcement in Nigeria: A case ...

    African Journals Online (AJOL)

    PROF. OLIVER OSUAGWA

    2014-06-01

    Jun 1, 2014 ... identified these challenges, the study recommended among others, adequate funding of the corps, effective enforcement of existing road traffic laws by all the relevant law enforcement agencies, training of the law enforcement personnel and construction of befitting roads. Key words: Road Transportation, ...

  5. Vulnerable road users are at greater risk during Ramadan -- results from road traffic surveillance data.

    Science.gov (United States)

    Mehmood, Amber; Khan, Irum Qamar; Mir, Mohammad Umer; Moin, Anoosh; Jooma, Rashid

    2015-03-01

    To assess how the frequency, nature and outcome of road traffic crashes differ during the fasting month of Ramadan. The retrospective study was conducted in Karachi and comprised data from the Road Traffic Injury Surveillance Project which entailed information on all road traffic injury victims presenting to Emergency Departments in the city between September 2006 and September 2011. Data was analysed to find the frequency of road traffic crashes according to time of incident, road user group and survival. Ramadan and Non-Ramadan groups were compared with respect to time and frequency of incidents, road user group and mortality. SPSS 16 was used for statistical analysis. There were 163,022 subjects from whom 13,640(8.36%) came during Ramadan and 149,382 (91.6%) during the non-Ramadan months. Frequency of road traffic crashes did not change significantly during Ramadan, but was clustered around the breaking of Fast and the Taravih prayers. The most commonly affected road user group was motorbike riders followed by pedestrians. Overall survival of the RTI victims was 96.1% with a mortality rate of 4.1% which was higher than the figure of 3.5% in the non-Ramadan period. Vulnerable road users were more frequently involved in road traffic injuries during Ramadan. Moreover, the frequency of crashes increased around evening which requires more careful planning of traffic controls, especially for the vulnerable road users.

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

    Science.gov (United States)

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

    2017-08-20

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

  7. Road traffic injuries: social change and development.

    Science.gov (United States)

    Borowy, Iris

    2013-01-01

    In the course of the twentieth century road traffic injuries (RTIs) became a major public health burden. RTI deaths first increased in high-income countries and declined after the 1970s, and they soared in low- and middle-income countries from the 1980s onwards. As motorisation took off in North America and then spread to Europe and to the rest of the world discussions on RTIs have reflected and influenced international interpretations of the costs and benefits of 'development', as conventionally understood. Using discourse analysis, this paper explores how RTIs have been constructed in ways that have served regional and global development agendas and how 'development' has been (re-)negotiated through the discourse of RTIs and vice versa. For this purpose, this paper analyses a selection of key publications of organisations in charge of international health or transport and places them in the context of (a) the surrounding scientific discussion of the period and (b) of relevant data regarding RTI mortality, development funding, and road and other transport infrastructure. Findings suggest that constructions of RTIs have shifted from being a necessary price to be paid for development to being a sign of development at an early stage or of an insufficiently coordinated development. In recent years, RTI discussions have raised questions about development being misdirected and in need of fundamental rethinking. At present, discussions are believed to be at a crossroads between different evaluations of developmental conceptualisations for the future.

  8. Road Traffic Accidents: A Wild Life Exterminator

    Directory of Open Access Journals (Sweden)

    Hadiseh Kavandi

    2015-10-01

    Full Text Available Once commonly traced in various parts of Southwest Asia, the Iranian cheetah (Acinonyx jubatus venaticus, a disparagingly endangered cheetah subspecies, seems to have been driven to extinction. Restricted to its only remained appropriate habitat, The Iranian cheetah has barely survived in Iran's Dasht-e Kavir plateau. Throughout the 1970s, about 200 cheetahs were estimated to live in seven protected areas in Iran (1. Nevertheless, the figures dramatically declined to 50 and 60 individuals in 2005–2006. Over ten years, Iranian researchers captured images of 76 individual cheetahs using 80 camera traps implanted throughout the Dasht-e Kavir plateau (2. Disappointingly in 2011, camera traps captured only 20 individuals in the protected areas (2, 3. What adds insult to the injury is knowing the fact that two-thirds of cheetah deaths in 2012–2013 were due to road accidents(4.      Beside the human fatalities and injuries, road traffic accidents remain as serious threats for wildlife. Although numerous measures are taken to hinder the extinction of this subspecies, efforts should be concentrated on long-term planning at both national and international levels to raise awareness and promote willingness to address this ongoing yet controllable damage.

  9. ENHANCEMENT OF ROAD SAFETY THROUGH MORE EFFECTIVE ROAD AND TRAFFIC MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Tomasz SZCZURASZEK

    2016-07-01

    Full Text Available To make the policy aimed at mitigating the risk of road incidents more effective, Poland should see the introduction of the more efficient road and traffic management. In November 2008 the European Parliament and the European Council published the Directive on "infrastructure safety management" which provides guidance on the procedures for carrying impact assessments of traffic safety, traffic safety audits, safety management on the road network and monitoring traffic safety in Member States. In this article, the authors have proposed a systemic approach to road and traffic management, involving the implementation of consistent procedures that should include regular revisions of roads, eliminating hazardous sites, speed management, as well as the approval and implementation of traffic organization designs.

  10. The impact of road traffic injury in North India: a mixed-methods study protocol.

    Science.gov (United States)

    Jagnoor, Jagnoor; Prinja, Shankar; Lakshmi, P V M; Aggarwal, Sameer; Gabbe, Belinda; Ivers, Rebecca Q

    2015-08-19

    Road traffic injuries are a large and growing public health burden, especially in low and middle income countries where 90% of the world's deaths due to road traffic injuries are estimated to occur. India is one of the fastest growing economies, with rapid motorisation and increasing road traffic burden. However, there are limited data addressing the problem of non-fatal road traffic injuries, with existing data being of poor quality, non-representative and difficult to access, and encompassing a limited number of relevant variables. This study aims to determine the outcomes of road traffic injuries on function and health-related quality of life, to assess their social impact and to weigh the economic cost of road traffic crashes in an urban setting in India. This prospective observational study will recruit approximately 1500 participants injured in road traffic crashes, who are admitted to hospital for >24 h at any of three participating hospitals in Chandigarh, India. Face-to-face baseline interviews will be conducted by telephone at 1, 2, 4 and 12 months postinjury. Standardised tools will be used to collect data on health and social outcomes, and on the economic impact of road traffic crashes. Descriptive analysis and multivariate models will be used to report outcome data and associations. The qualitative in-depth interviews will be analysed thematically using content analysis. This study will provide the first comprehensive estimates on outcomes of serious road traffic injury in India, including economic and social costs, and the impact on individuals and families. Primary ethics approval was received from the Postgraduate Institute for Medical Education and Research, institute's ethics committee, Chandigarh, India. Results will be disseminated via the usual scientific forums including peer-reviewed publications and presentations at international conferences. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted

  11. Road Traffic Accidents The Number One Killer in Libya

    OpenAIRE

    Ahmed Ali, Abdulmajid

    2007-01-01

    To The Editor: It is estimated that 1.26 million people worldwide died in 2000 from road traffic accidents, 90% of them in low and middle-income countries. In 2000, the road traffic injury mortality rate for the world was 20.8 per 100,000 populations (30.8 in males, 11.0 in females) [1].The Arab population constitutes 3.6% of the world’s population and it owns 1% of the world’s vehicles. Its human losses as a result of road traffic accidents (RTA) account for 4.8% of that of the world’s losse...

  12. Evaluation of Traffic Density Parameters as an Indicator of Vehicle Emission-Related Near-Road Air Pollution: A Case Study with NEXUS Measurement Data on Black Carbon

    Science.gov (United States)

    An important factor in evaluating health risk of near-road air pollution is to accurately estimate the traffic-related vehicle emission of air pollutants. Inclusion of traffic parameters such as road length/area, distance to roads, and traffic volume/intensity into models such as...

  13. Air pollution due to road traffic in Ljubljana

    Directory of Open Access Journals (Sweden)

    Matej Ogrin

    2007-01-01

    Full Text Available Air pollution is due to road traffic an inevitable outcome of internal combustion in engines ofvehicles and some other processes. Air near the roads is more polluted with some pollutants,such as carbon monoxide, nitrogen oxides, ozone, particulate matter and some others.Monitoring the air quality is a key issue, when one wants to estimate environmental impactsof the road traffic. The article shows a method of passive samplers for air quality monitoringalong different roads in the area of Ljubljana Municipality.

  14. Relationship between road traffic accidents and conflicts recorded by drive recorders.

    Science.gov (United States)

    Lu, Guangquan; Cheng, Bo; Kuzumaki, Seigo; Mei, Bingsong

    2011-08-01

    Road traffic conflicts can be used to estimate the probability of accident occurrence, assess road safety, or evaluate road safety programs if the relationship between road traffic accidents and conflicts is known. To this end, we propose a model for the relationship between road traffic accidents and conflicts recorded by drive recorders (DRs). DRs were installed in 50 cars in Beijing to collect records of traffic conflicts. Data containing 1366 conflicts were collected in 193 days. The hourly distributions of conflicts and accidents were used to model the relationship between accidents and conflicts. To eliminate time series and base number effects, we defined and used 2 parameters: average annual number of accidents per 10,000 vehicles per hour and average number of conflicts per 10,000 vehicles per hour. A model was developed to describe the relationship between the two parameters. If A(i) = average annual number of accidents per 10,000 vehicles per hour at hour i, and E(i) = average number of conflicts per 10,000 vehicles per hour at hour i, the relationship can be expressed as [Formula in text] (α>0, β>0). The average number of traffic accidents increases as the number of conflicts rises, but the rate of increase decelerates as the number of conflicts increases further. The proposed model can describe the relationship between road traffic accidents and conflicts in a simple manner. According to our analysis, the model fits the present data.

  15. Fleet size estimation for spreading operation considering road geometry, weather and traffic

    Directory of Open Access Journals (Sweden)

    Steven I-Jy Chien

    2014-02-01

    Full Text Available Extreme weather conditions(i.e. snow storm in winter time have caused significant travel disruptions and increased delay and traffic accidents. Snow plowing and salt spreading are the most common counter-measures for making our roads safer for motorists. To assist highway maintenance authorities with better planning and allocation of winter maintenance resources, this study introduces an analytical model to estimate the required number of trucks for spreading operation subjective to pre-specified service time constraints considering road geometry, weather and traffic. The complexity of the research problem lies in dealing with heterogeneous road geometry of road sections, truck capacities, spreading patterns, and traffic speeds under different weather conditions and time periods of an event. The proposed model is applied to two maintenance yards with seven road sections in New Jersey (USA, which demonstrates itself fairly practical to be implemented, considering diverse operational conditions.

  16. Road traffic noise, air pollution components and cardiovascular events

    Directory of Open Access Journals (Sweden)

    Yvonne de Kluizenaar

    2013-01-01

    Full Text Available Traffic noise and air pollution have been associated with cardiovascular health effects. Until date, only a limited amount of prospective epidemiological studies is available on long-term effects of road traffic noise and combustion related air pollution. This study investigates the relationship between road traffic noise and air pollution and hospital admissions for ischemic heart disease (IHD: International Classification of Diseases (ICD9 410-414 or cerebrovascular disease (cerebrovascular event [CVE]: ICD9 430-438. We linked baseline questionnaire data to 13 years of follow-up on hospital admissions and road traffic noise and air pollution exposure, for a large random sample (N = 18,213 of inhabitants of the Eindhoven region, Netherlands. Subjects with cardiovascular event during follow-up on average had higher road traffic noise day, evening, night level (L den and air pollution exposure at the home. After adjustment for confounders (age, sex, body mass index, smoking, education, exercise, marital status, alcohol use, work situation, financial difficulties, increased exposure did not exert a significant increased risk of hospital admission for IHD or cerebrovascular disease. Relative risks (RRs for a 5 th to 95 th percentile interval increase were 1.03 (0.88-1.20 for L den; 1.04 (0.90-1.21 for particulate matter (PM 10 ; 1.05 (0.91-1.20 for elemental carbon (EC; and 1.12 (096-1.32 for nitrogen dioxide (NO 2 in the full model. While the risk estimate seemed highest for NO 2 , for a 5 th to 95 th percentile interval increase, expressed as RRs per 1 μg/m 3 increases, hazard ratios seemed highest for EC (RR 1.04 [0.92-1.18]. In the subgroup of study participants with a history of cardiovascular disease, RR estimates seemed highest for noise exposure (1.19 [0.87-1.64] for L den; in the subgroup of elderly RR seemed highest for air pollution exposure (RR 1.24 [0.93-1.66] for NO 2 .

  17. Road traffic noise, air pollution components and cardiovascular events.

    Science.gov (United States)

    de Kluizenaar, Yvonne; van Lenthe, Frank J; Visschedijk, Antoon J H; Zandveld, Peter Y J; Miedema, Henk M E; Mackenbach, Johan P

    2013-01-01

    Traffic noise and air pollution have been associated with cardiovascular health effects. Until date, only a limited amount of prospective epidemiological studies is available on long-term effects of road traffic noise and combustion related air pollution. This study investigates the relationship between road traffic noise and air pollution and hospital admissions for ischemic heart disease (IHD: International Classification of Diseases (ICD9) 410-414) or cerebrovascular disease (cerebrovascular event [CVE]: ICD9 430-438). We linked baseline questionnaire data to 13 years of follow-up on hospital admissions and road traffic noise and air pollution exposure, for a large random sample (N = 18,213) of inhabitants of the Eindhoven region, Netherlands. Subjects with cardiovascular event during follow-up on average had higher road traffic noise day, evening, night level (L den) and air pollution exposure at the home. After adjustment for confounders (age, sex, body mass index, smoking, education, exercise, marital status, alcohol use, work situation, financial difficulties), increased exposure did not exert a significant increased risk of hospital admission for IHD or cerebrovascular disease. Relative risks (RRs) for a 5 (th) to 95 (th) percentile interval increase were 1.03 (0.88-1.20) for L den; 1.04 (0.90-1.21) for particulate matter (PM 10 ); 1.05 (0.91-1.20) for elemental carbon (EC); and 1.12 (096-1.32) for nitrogen dioxide (NO 2 ) in the full model. While the risk estimate seemed highest for NO 2 , for a 5 (th) to 95 (th) percentile interval increase, expressed as RRs per 1 μg/m 3 increases, hazard ratios seemed highest for EC (RR 1.04 [0.92-1.18]). In the subgroup of study participants with a history of cardiovascular disease, RR estimates seemed highest for noise exposure (1.19 [0.87-1.64] for L den); in the subgroup of elderly RR seemed highest for air pollution exposure (RR 1.24 [0.93-1.66] for NO 2 ).

  18. Using Virtual Reality to Assess Ethical Decisions in Road Traffic Scenarios: Applicability of Value-of-Life-Based Models and Influences of Time Pressure.

    Science.gov (United States)

    Sütfeld, Leon R; Gast, Richard; König, Peter; Pipa, Gordon

    2017-01-01

    Self-driving cars are posing a new challenge to our ethics. By using algorithms to make decisions in situations where harming humans is possible, probable, or even unavoidable, a self-driving car's ethical behavior comes pre-defined. Ad hoc decisions are made in milliseconds, but can be based on extensive research and debates. The same algorithms are also likely to be used in millions of cars at a time, increasing the impact of any inherent biases, and increasing the importance of getting it right. Previous research has shown that moral judgment and behavior are highly context-dependent, and comprehensive and nuanced models of the underlying cognitive processes are out of reach to date. Models of ethics for self-driving cars should thus aim to match human decisions made in the same context. We employed immersive virtual reality to assess ethical behavior in simulated road traffic scenarios, and used the collected data to train and evaluate a range of decision models. In the study, participants controlled a virtual car and had to choose which of two given obstacles they would sacrifice in order to spare the other. We randomly sampled obstacles from a variety of inanimate objects, animals and humans. Our model comparison shows that simple models based on one-dimensional value-of-life scales are suited to describe human ethical behavior in these situations. Furthermore, we examined the influence of severe time pressure on the decision-making process. We found that it decreases consistency in the decision patterns, thus providing an argument for algorithmic decision-making in road traffic. This study demonstrates the suitability of virtual reality for the assessment of ethical behavior in humans, delivering consistent results across subjects, while closely matching the experimental settings to the real world scenarios in question.

  19. Using Virtual Reality to Assess Ethical Decisions in Road Traffic Scenarios: Applicability of Value-of-Life-Based Models and Influences of Time Pressure

    Directory of Open Access Journals (Sweden)

    Leon R. Sütfeld

    2017-07-01

    Full Text Available Self-driving cars are posing a new challenge to our ethics. By using algorithms to make decisions in situations where harming humans is possible, probable, or even unavoidable, a self-driving car's ethical behavior comes pre-defined. Ad hoc decisions are made in milliseconds, but can be based on extensive research and debates. The same algorithms are also likely to be used in millions of cars at a time, increasing the impact of any inherent biases, and increasing the importance of getting it right. Previous research has shown that moral judgment and behavior are highly context-dependent, and comprehensive and nuanced models of the underlying cognitive processes are out of reach to date. Models of ethics for self-driving cars should thus aim to match human decisions made in the same context. We employed immersive virtual reality to assess ethical behavior in simulated road traffic scenarios, and used the collected data to train and evaluate a range of decision models. In the study, participants controlled a virtual car and had to choose which of two given obstacles they would sacrifice in order to spare the other. We randomly sampled obstacles from a variety of inanimate objects, animals and humans. Our model comparison shows that simple models based on one-dimensional value-of-life scales are suited to describe human ethical behavior in these situations. Furthermore, we examined the influence of severe time pressure on the decision-making process. We found that it decreases consistency in the decision patterns, thus providing an argument for algorithmic decision-making in road traffic. This study demonstrates the suitability of virtual reality for the assessment of ethical behavior in humans, delivering consistent results across subjects, while closely matching the experimental settings to the real world scenarios in question.

  20. Penetrating eye injuries in road traffic accidents.

    Science.gov (United States)

    Patel, B C; Morgan, L H

    1988-03-01

    A review of all penetrating eye injuries treated by the Manchester Eye Hospital over four years (1 February 1982-31 January 1986) was undertaken. One hundred and ninety-six penetrating eye injuries were seen, of which 16 (8.2%) were due to road traffic accidents. Eight patients (nine eyes) were seen in the 12 months prior to the introduction of the seat-belt legislation on 1 February 1983. None of these patients was wearing a seat-belt whereas two of the eight patients (10 eyes) seen after the seat-belt legislation were. Both these patients suffered severe visual loss due to intraocular glass from shattered windscreens. Three patients had bilateral penetrating eye injuries, one before and two after the seat-belt legislation. Two of the nine eyes involved prior to the legislation and three of the 10 eyes after the legislation had an eventual visual acuity of 6/12 or better. In the majority of patients, failure to wear seat-belts or defective use is to blame. Flying glass from shattered toughened windscreens is a preventable danger. Nine of the 16 patients were first seen in the general accident and emergency department and, of these, seven did not have visual acuities recorded prior to referral to an ophthalmologist. The importance of measurement of the visual acuity and detection of an afferent pupillary defect is stressed based on these findings.

  1. FACTORS AFFECTING ROAD TRAFFIC ACCIDENTS IN BENGHAZI, LIBYA

    OpenAIRE

    Al-Ghaweel, Ibrahim; Mursi, Saleh A.; Jack, Joel P.; Joel, Irene

    2009-01-01

    Objectives: The aim of the study was to evaluate the factors responsible for road traffic accidents in Benghazi. Material and Methods: Retrospective and descriptive studies were done in the years 2006-2007. The data was collected from Traffic and License Department, Benghazi. The data were analyzed, based on fatalities, the severely handicapped, hit and run victims and were correlated with age, sex, time, environmental factors, type of roads, etc. Results: One-Thousand-Two-Hundred-Sixty...

  2. INFRASTRUCTURE FACILITIES FOR MONITORING AND INTELLECTUAL ROAD TRAFFIC MANAGEMENT

    Directory of Open Access Journals (Sweden)

    G. Belov

    2014-10-01

    Full Text Available Review of automatic management of road traffic technologies in major cities of Ukraine is carried out in the given article. Priority directions of studies are determined for producing modern and perspective technologies in the given area. The facilities for monitoring and intelligence management of the road traffic on the basis of the programmed logical controller, using the device of fuzzy logic are considered.

  3. Estimation of element deposition derived from road traffic sources by using mosses

    International Nuclear Information System (INIS)

    Zechmeister, H.G.; Hohenwallner, D.; Riss, A.; Hanus-Illnar, A.

    2005-01-01

    Sixty moss samples were taken along transects of nine roads in Austria. The concentrations of 17 elements in four moss species were determined. There was a high correlation between several elements like Cu/Sb (0.906), Ni/Co (0.897) or Cr/V (0.898), indicating a common traffic-related source. Enrichment factors were calculated, showing highest enrichment levels for: Cr, Mo, Sb, Zn, As, Fe, V, Cu, Ni, and Co. For these elements, road traffic has to be assumed as a source, which is confirmed by a significant negative correlation of the concentrations in mosses to the distance from the road for most of these metals. The rate of decrease followed a log-shaped curve at most of the investigated transects, although the decline cannot be explained by a single model. Multiple regression analysis highlighted traffic density, distance from and elevation of the road as the most influencing factors for the deposition of the investigated elements. Heavy duty vehicles (HDVs) and light duty vehicles (LDVs) showed different patterns. A comparison of sites likely to be influenced by traffic emissions with average values for the respective regions showed no significant differences for road distances of more than 250 m. Nevertheless, at heavily frequented roads, raised deposition of some elements was found even at a distance of 1000 m. - Cr, Mo, Sb, Zn, As, Fe, V, Cu, Ni, and Co were identified as road traffic emissions and were mainly deposited within a distance of 250 m from major roads

  4. Determinants of road traffic safety : new evidence from Australia using state-space analysis.

    NARCIS (Netherlands)

    Nghiem, S. Commandeur, J.J.F. & Connelly, L.B.

    2016-01-01

    This paper examines the determinants of road traffic crash fatalities in Queensland for the period 1958–2007 using a state-space time-series model. In particular, we investigate the effects of policies that aimed to reduce drink-driving on traffic fatalities, as well as indicators of the economic

  5. Determinants of road traffic safety: New evidence from Australia using state-space analysis

    NARCIS (Netherlands)

    Nghiem, S.; Commandeur, J.J.F.; Connelly, L.B.

    2016-01-01

    This paper examines the determinants of road traffic crash fatalities in Queensland for the period 1958-2007 using a state-space time-series model. In particular, we investigate the effects of policies that aimed to reduce drink-driving on traffic fatalities, as well as indicators of the economic

  6. On street observations of particulate matter movement and dispersion due to traffic on an urban road

    Science.gov (United States)

    Patra, Aditya; Colvile, Roy; Arnold, Samantha; Bowen, Emma; Shallcross, Dudley; Martin, Damien; Price, Catheryn; Tate, James; ApSimon, Helen; Robins, Alan

    Empirical models for particulate matter emissions from paved road surfaces have been criticised for their lack of realism and accuracy. To support the development of a less empirical model, a study was conducted in a busy street at the DAPPLE site in Central London to understand the processes and to identify important parameters that influence emission from paved roads. Ordinary road gritting salt was applied to the road and the particulate matter entering the air at near-road surface level was monitored using optical particle counters. The grit acted as a tracer. The grit moved rapidly along the road in the direction of traffic flow. Build-up of material at the kerb indicated material being thrown across the road by the traffic. Coarser particles were resuspended faster than the finer ones. A clear decay profile was seen in the case of particles larger than 2μm; particles smaller than 2μm did not show any decay pattern during the experiment duration. Grinding of material appears to control the reservoir of fine particles on the road surface. The amount of material resuspended by traffic is about 30% less than those removed along the road and a factor of 6 higher than the amount removed across the road. Resuspension accounts for 40% of the total material removed from a road segment and 70% of the material removed together along and across the road. On average a single vehicle pass removes 0.08% of material present on a road segment at that instant. The calculation scheme is obtained from a short-duration study and therefore further studies of long duration involving varying road geometry and different traffic and meteorological condition need to be carried out before applying parameter estimates presented in this paper.

  7. Road traffic injuries in Peace Corps Volunteers, 1996-2014.

    Science.gov (United States)

    Ferguson, Rennie W; Henderson, Susan J; Jung, Paul

    2017-04-01

    Road traffic injuries are a leading cause of mortality and morbidity worldwide. Travellers are at risk given unfamiliarity with local road conditions and traffic rules. Peace Corps Volunteers are a unique population of long-term travellers who live and work in-country, often in remote settings, over a period of 27 months and use a range of transportation modes. Data from Peace Corps' Epidemiologic Surveillance System (ESS) and Death In-Service (DIS) database were analysed in 2015 for non-fatal and fatal road traffic injuries among in-service Volunteers from 1996 to 2014. Volunteer-months were used to calculate incidence rates, and rates were compared among countries and regions. A total of 5047 non-fatal and 15 fatal road crash injuries were reported during 1 616 252 Volunteer-months for an overall rate of 3.12 non-fatal injuries and 0.01 fatalities per 1000 Volunteer-months. The total combined rate of nonfatal road traffic injuries among Volunteers generally declined from 4.01 per 1000 Volunteer-months in 1996 to 2.84 in 2014. Pedestrian and bicycle injuries emerged as the most frequent mechanisms of injury during this timeframe. Differences in rates of observed road traffic-related fatalities among Volunteers compared with expected age-matched cohort rates in the US were not statistically significant. Peace Corps transportation policies and training, and changes to road environments worldwide, may have led to a decrease in the rate of road traffic injuries among Peace Corps Volunteers. Pedestrians and bicyclists remain at risk of road traffic injuries. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  8. Detecting Anomaly in Traffic Flow from Road Similarity Analysis

    KAUST Repository

    Liu, Xinran

    2016-06-02

    Taxies equipped with GPS devices are considered as 24-hour moving sensors widely distributed in urban road networks. Plenty of accurate and realtime trajectories of taxi are recorded by GPS devices and are commonly studied for understanding traffic dynamics. This paper focuses on anomaly detection in traffic volume, especially the non-recurrent traffic anomaly caused by unexpected or transient incidents, such as traffic accidents, celebrations and disasters. It is important to detect such sharp changes of traffic status for sensing abnormal events and planning their impact on the smooth volume of traffic. Unlike existing anomaly detection approaches that mainly monitor the derivation of current traffic status from history in the past, the proposed method in this paper evaluates the abnormal score of traffic on one road by comparing its current traffic volume with not only its historical data but also its neighbors. We define the neighbors as the roads that are close in sense of both geo-location and traffic patterns, which are extracted by matrix factorization. The evaluation results on trajectories data of 12,286 taxies over four weeks in Beijing show that our approach outperforms other baseline methods with higher precision and recall.

  9. Productivity losses from road traffic deaths in Turkey.

    Science.gov (United States)

    Naci, Huseyin; Baker, Timothy D

    2008-03-01

    The importance of road traffic injuries in Turkey is not generally appreciated, in part due to lack of knowledge of its economic burden and in part due to major underestimation in official statistics. The total years of potential life lost and potentially productive years of life lost from mortality were calculated in order to estimate the cost of productivity losses from road traffic deaths in Turkey. More years of potentially productive life are lost due to road traffic deaths than to respiratory tract illnesses or diabetes mellitus, two other serious health problems in Turkey. Road traffic deaths cost Turkey an estimated USD 2.6 billion every year in productivity losses alone, more than the World Bank estimate of the indirect costs from the 1999 Marmara earthquake (USD 1.2-2 billion), Turkey's worst earthquake since 1939 (World Bank Turkey Country Office, 1999). This study highlights the importance of accurate information in ameliorating the burden of road traffic safety in Turkey. Turkey has great opportunities to implement cost-effective interventions to reduce the economic burden of fatal and non-fatal road traffic injuries.

  10. Emission factors and source apportionment for abrasion particles produced by road traffic

    Science.gov (United States)

    Bukowiecki, N.; Lienemann, P.; Figi, R.; Hill, M.; Richard, A.; Furger, M.; Rickers, K.; Cliff, S. S.; Baltensperger, U.; Gehrig, R.

    2009-04-01

    Particle emissions of road traffic are generally associated with fresh exhaust emissions only. However, recent studies identified a clear contribution of non-exhaust emissions to the PM10 load of the ambient air. These emissions consist of particles produced by abrasion from brakes, road wear, tire wear, as well as resuspension of deposited road dust. For many urban environments, quantitative information about the contributions of the individual abrasion processes is still scarce. For effective PM10 reduction scenarios it is of particular interest to know whether road wear, resuspension or fresh abrasion from vehicles is dominating the non-exhaust PM10 contribution. In Switzerland, the emissions of road traffic abrasion particles into the ambient air were characterized in the project APART (Abrasion Particles produced by Road Traffic). The project aimed at finding the contribution of the non-exhaust sources to total traffic-related PM10 and PM2.5 for different traffic conditions, by determining specific elemental fingerprint signatures for the various sources. This was achieved by hourly elemental mass concentration measurements in three size classes (2.5-10, 1-2.5 and 0.1-1 micrometers) with a rotating drum impactor (RDI) and subsequent synchrotron radiation X-ray fluorescence spectrometry (SR-XRF). The elemental fingerprint measurements were embedded into a large set of aerosol, gas phase, meteorological and traffic count measurements. To identify traffic related emissions, measurements were performed upwind and downwind of selected roads. For a better investigation of road wear, a road wear simulator was applied in additional experiments. This allows for the identification and quantification of the different source contributions by means of source-receptor modeling, and for the calculation of real-world emission factors for the individual abrasion sources. The preliminary analysis of hourly resolved trace element measurements in a street canyon in Zürich showed

  11. Reducing habitat fragmentation on minor rural roads through traffic calming

    NARCIS (Netherlands)

    Jaarsma, C.F.; Willems, G.P.A.

    2002-01-01

    The rural road network suffers continually from ambiguity. On the one hand, the presence of this network and its traffic flows offer accessibility and make a contribution to economic development. While on the other, its presence and its traffic flows cause fragmentation. The actual ecological impact

  12. Adverse effects of long term exposure to road traffic noise

    NARCIS (Netherlands)

    Kluizenaar, Y. de

    2015-01-01

    Road traffic is a prominent source of environmental noise exposure in urbanized areas. Because of its common presence, traffic is a source of exposure that is not easy to avoid. As a consequence, it is affecting a substantial proportion of residents in their homes, and in their living environment

  13. Urban Traffic Congestion and Its Attendant Health Effects on Road ...

    African Journals Online (AJOL)

    This study focused on urban traffic congestion on road users in Ado-Ekiti,Nigeria. It looked critically at the problems, causes and possible remedialmeasures to urban traffic congestion within the study area. Data for thisstudy were collected from primary sources, through the administration ofquestionnaires and personal ...

  14. Traffic noise monitoring at road intersections in urban settlement ...

    African Journals Online (AJOL)

    Traffic noise monitoring at road intersections in urban settlement: Case study of Ramat Park Benin City. ... bus drivers) were responsible for the noise emission while enforcement of traffic laws in the state and relocation of the motor park close to the square were recommended control measures for noise reduction.

  15. Road traffic noise, air pollution components and cardiovascular events

    NARCIS (Netherlands)

    Kluizenaar, Y. de; Lenthe, F.J. van; Visschedijk, A.J.H.; Zandveld, P.Y.J; Miedema, H.M.E.; Mackenbach, J.P.

    2013-01-01

    Traffic noise and air pollution have been associated with cardiovascular health effects. Until date, only a limited amount of prospective epidemiological studies is available on long-term effects of road traffic noise and combustion related air pollution. This study investigates the relationship

  16. Spatial and Temporal Perspective on Road Traffic Accident ...

    African Journals Online (AJOL)

    The research work uncovered the fact that the problem of road traffic accidents in Lagos Mainland more often than not occurs due to irresponsibility shown by road users and failure of the designated authorities and organizations to carry out their responsibilities. Analysis of variance (ANOVA) technique was employed in the ...

  17. Road Traffic Accident Variations in Lagos State, Nigeria: A Synopsis ...

    African Journals Online (AJOL)

    The major objective of this research is to examine the variation patterns of road traffic accident in Lagos State. The study used mostly secondary data; accident records and vehicular situation were obtained from the Nigeria police force and Federal Road Safety Commission. The data were obtained for a period of thirty two ...

  18. Epidemiology of road traffic crashes among long distance drivers in ...

    African Journals Online (AJOL)

    Department of Epidemiology and Medical Statistics, Faculty of Public Health, University of Ibadan, Ibadan. 2. Anaesthetist, Emergency ... long-distance drivers studied. Reconstruction of bad roads and implementation of road safety education ... transport and occur on a traffic way or while the vehi- cle is still in motion after ...

  19. Game Theoretic Analysis of Road Traffic Problems in Nigeria (Pp ...

    African Journals Online (AJOL)

    User

    2011-05-20

    May 20, 2011 ... Abstract. Chaotic road traffic situation in most Nigerian and African cities and roads is a nightmare, and a significant proportion of the cost of goods and services is attributed to this. A general feature is that these problems are due to tyranny of small decisions by motorists and some other citizens, hence, ...

  20. Multivariate Association in Road Traffic Crashes and the Policy ...

    African Journals Online (AJOL)

    Abstract. In 2010, the governments of the world declared 2011-2020 as the Decade of Action for Road Safety. The unanimous support for this Decade of Action from member states explains the growing awareness of the devastating scale of road traffic injuries as a global public health and development problem. Despite the ...

  1. Temporal Analysis of Characteristics and Causes of Road Traffic ...

    African Journals Online (AJOL)

    Background Millions of people each year will spend long weeks in hospital after severe crashes. The WHO estimated that 1.3million people were killed by road traffic crashes (RTC) and 50 million injured on the worlds road annually, adding that over 80 percent of the figure occurred in developing countries, with Africa ...

  2. A Retrospective Study on the Unseen Epidemic of Road Traffic ...

    African Journals Online (AJOL)

    Backgrounds: Sixty percent of the global deaths and injuries occur in the developing world and mostly are due to Road traffic accidents (RTAs. looking at the etiological related factors which include, carelessness of the driver, condition of the vehicle or motorcycle, poor condition of roads, risky behavior of the driver, most of ...

  3. Effects of road infrastructure and traffic complexity in speed adaptation behaviour of distracted drivers.

    Science.gov (United States)

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

    2017-04-01

    The use of mobile phones while driving remains a major human factors issue in the transport system. A significant safety concern is that driving while distracted by a mobile phone potentially modifies the driving speed leading to conflicts with other road users and consequently increases crash risk. However, the lack of systematic knowledge of the mechanisms involved in speed adaptation of distracted drivers constrains the explanation and modelling of the extent of this phenomenon. The objective of this study was to investigate speed adaptation of distracted drivers under varying road infrastructure and traffic complexity conditions. The CARRS-Q Advanced Driving Simulator was used to test participants on a simulated road with different traffic conditions, such as free flow traffic along straight roads, driving in urbanized areas, and driving in heavy traffic along suburban roads. Thirty-two licensed young drivers drove the simulator under three phone conditions: baseline (no phone conversation), hands-free and handheld phone conversations. To understand the relationships between distraction, road infrastructure and traffic complexity, speed adaptation calculated as the deviation of driving speed from the posted speed limit was modelled using a decision tree. The identified groups of road infrastructure and traffic characteristics from the decision tree were then modelled with a Generalized Linear Mixed Model (GLMM) with repeated measures to develop inferences about speed adaptation behaviour of distracted drivers. The GLMM also included driver characteristics and secondary task demands as predictors of speed adaptation. Results indicated that complex road environments like urbanization, car-following situations along suburban roads, and curved road alignment significantly influenced speed adaptation behaviour. Distracted drivers selected a lower speed while driving along a curved road or during car-following situations, but speed adaptation was negligible in the

  4. Nocturnal Road Traffic Noise Exposure and Children's Sleep Duration and Sleep Problems.

    Science.gov (United States)

    Weyde, Kjell Vegard; Krog, Norun Hjertager; Oftedal, Bente; Evandt, Jorunn; Magnus, Per; Øverland, Simon; Clark, Charlotte; Stansfeld, Stephen; Aasvang, Gunn Marit

    2017-05-06

    Almost half of the European Union (EU)'s population is exposed to road traffic noise above levels that constitute a health risk. Associations between road traffic noise and impaired sleep in adults have consistently been reported. Less is known about effects of noise on children's sleep. The aim of this study was to examine the association between nocturnal road traffic noise exposure and children's parental-reported sleep duration and sleep problems. The present cross-sectional study used data from The Norwegian Mother and Child Cohort Study. Parental report of children's sleep duration and sleep problems at age 7 was linked to modelled levels of residential night-time road traffic noise. The study population included 2665 children from Oslo, Norway. No association was found between road traffic noise and sleep duration in the total study population (odds ratio (OR): 1.05, 95% confidence interval (CI): [0.94, 1.17]), but a statistically significant association was observed in girls (OR: 1.21, 95% CI: [1.04, 1.41]). For sleep problems, the associations were similar (OR: 1.36, 95% CI: [0.85, 2.16]) in girls. The ORs are presented for an increase of 10 dB. The findings suggest there is an association between road traffic noise and sleep for girls, underlining the importance of protecting children against excessive noise levels.

  5. Nocturnal Road Traffic Noise Exposure and Children’s Sleep Duration and Sleep Problems

    Science.gov (United States)

    Weyde, Kjell Vegard; Krog, Norun Hjertager; Oftedal, Bente; Evandt, Jorunn; Magnus, Per; Øverland, Simon; Clark, Charlotte; Stansfeld, Stephen; Aasvang, Gunn Marit

    2017-01-01

    Almost half of the European Union (EU)’s population is exposed to road traffic noise above levels that constitute a health risk. Associations between road traffic noise and impaired sleep in adults have consistently been reported. Less is known about effects of noise on children’s sleep. The aim of this study was to examine the association between nocturnal road traffic noise exposure and children’s parental-reported sleep duration and sleep problems. The present cross-sectional study used data from The Norwegian Mother and Child Cohort Study. Parental report of children’s sleep duration and sleep problems at age 7 was linked to modelled levels of residential night-time road traffic noise. The study population included 2665 children from Oslo, Norway. No association was found between road traffic noise and sleep duration in the total study population (odds ratio (OR): 1.05, 95% confidence interval (CI): [0.94, 1.17]), but a statistically significant association was observed in girls (OR: 1.21, 95% CI: [1.04, 1.41]). For sleep problems, the associations were similar (OR: 1.36, 95% CI: [0.85, 2.16]) in girls. The ORs are presented for an increase of 10 dB. The findings suggest there is an association between road traffic noise and sleep for girls, underlining the importance of protecting children against excessive noise levels. PMID:28481249

  6. Long-termexposure to road traffic noise, ambient air pollution, and cardiovascular risk factors in the HUNT and lifelines cohorts

    NARCIS (Netherlands)

    Cai, Yutong; Hansell, Anna L.; Blangiardo, Marta; Burton, Paul R.; de Hoogh, Kees; Doiron, Dany; Fortier, Isabel; Gulliver, John; Hveem, Kristian; Mbatchou, Stéphane; Morley, DavidW.; Stolk, Ronald P.; Zijlema, Wilma L.; Elliott, Paul; Hodgson, Susan

    2017-01-01

    Aims: Blood biochemistry may provide information on associations between road traffic noise, air pollution, and cardiovascular disease risk. We evaluated this in two large European cohorts (HUNT3, Lifelines). Methods and results: Road traffic noise exposure was modelled for 2009 using a simplified

  7. Non-vehicular homicides masquerading as road traffic accidents.

    Science.gov (United States)

    Zine, K U; Mugadlimath, Anand B; Sane, Mandar Ramchandra; Bhuyyar, Chandrashekhar; Rathod, S N

    2016-03-01

    Interfering with or planting evidence to disguise the cause of a death is not uncommon in forensic practice. Homicides staged as road accidents are, however, rarely encountered by crime scene investigators. We report two homicides which were presented as road traffic accidents. Case 1: Dead body of a 35-year-old male was brought for autopsy with history of road traffic accident. Primary police inquiry suggested that the victim was knocked down by a speeding four-wheeler, while walking by the side of a high way with his friends. On postmortem examination the deceased's death was found due to homicidal smothering staged as a road traffic accident. Case 2: Dead body of 40-year-old male was brought for autopsy with history of road traffic accident. It was an unwitnessed crush by a speeding four-wheeler. However, on postmortem examination, the deceased was found to have died from homicidal multiple stab wounds with his death staged as a road traffic accident. Importance of meticulous autopsy to determine accurately the cause of death is emphasized. © The Author(s) 2015.

  8. Analysis of traffic safety at road works.

    NARCIS (Netherlands)

    Weijermars, W. & Spittje, H.

    2010-01-01

    Road works create a risk, both to road workers and drivers. SWOV conducted research into 58 severe crashes to gain more insight into the causes of crashes at work zones. Finally, 50 work-zones were visited to obtain more insight into (1) the extent to which the Dutch guidelines for safe road works

  9. Transportation noise and annoyance related to road traffic in the French RECORD study

    Science.gov (United States)

    2013-01-01

    Road traffic and related noise is a major source of annoyance and impairment to health in urban areas. Many areas exposed to road traffic noise are also exposed to rail and air traffic noise. The resulting annoyance may depend on individual/neighborhood socio-demographic factors. Nevertheless, few studies have taken into account the confounding or modifying factors in the relationship between transportation noise and annoyance due to road traffic. In this study, we address these issues by combining Geographic Information Systems and epidemiologic methods. Street network buffers with a radius of 500 m were defined around the place of residence of the 7290 participants of the RECORD Cohort in Ile-de-France. Estimated outdoor traffic noise levels (road, rail, and air separately) were assessed at each place of residence and in each of these buffers. Higher levels of exposure to noise were documented in low educated neighborhoods. Multilevel logistic regression models documented positive associations between road traffic noise and annoyance due to road traffic, after adjusting for individual/neighborhood socioeconomic conditions. There was no evidence that the association was of different magnitude when noise was measured at the place of residence or in the residential neighborhood. However, the strength of the association between neighborhood noise exposure and annoyance increased when considering a higher percentile in the distribution of noise in each neighborhood. Road traffic noise estimated at the place of residence and road traffic noise in the residential neighborhood (75th percentile) were independently associated with annoyance, when adjusted for each other. Interactions of effects indicated that the relationship between road traffic noise exposure in the residential neighborhood and annoyance was stronger in affluent and high educated neighborhoods. Overall, our findings suggest that it is useful to take into account (i) the exposure to transportation noise

  10. A Public Health Perspective of Road Traffic Accidents

    Directory of Open Access Journals (Sweden)

    S Gopalakrishnan

    2012-01-01

    Full Text Available Road traffic accidents (RTAs have emerged as an important public health issue which needs to be tackled by a multi-disciplinary approach. The trend in RTA injuries and death is becoming alarming in countries like India. The number of fatal and disabling road accident happening is increasing day by day and is a real public health challenge for all the concerned agencies to prevent it. The approach to implement the rules and regulations available to prevent road accidents is often ineffective and half-hearted. Awareness creation, strict implementation of traffic rules, and scientific engineering measures are the need of the hour to prevent this public health catastrophe. This article is intended to create awareness among the health professionals about the various modalities available to prevent road accidents and also to inculcate a sense of responsibility toward spreading the message of road safety as a good citizen of our country.

  11. A Public Health Perspective of Road Traffic Accidents

    Science.gov (United States)

    Gopalakrishnan, S.

    2012-01-01

    Road traffic accidents (RTAs) have emerged as an important public health issue which needs to be tackled by a multi-disciplinary approach. The trend in RTA injuries and death is becoming alarming in countries like India. The number of fatal and disabling road accident happening is increasing day by day and is a real public health challenge for all the concerned agencies to prevent it. The approach to implement the rules and regulations available to prevent road accidents is often ineffective and half-hearted. Awareness creation, strict implementation of traffic rules, and scientific engineering measures are the need of the hour to prevent this public health catastrophe. This article is intended to create awareness among the health professionals about the various modalities available to prevent road accidents and also to inculcate a sense of responsibility toward spreading the message of road safety as a good citizen of our country. PMID:24479025

  12. Road rage and road traffic accidents among commercial vehicle drivers in Lahore, Pakistan.

    Science.gov (United States)

    Shaikh, M A; Shaikh, I A; Siddiqui, Z

    2012-04-01

    Road rage and road traffic accidents increase the burden of morbidity and mortality in a population. A cross-sectional survey with convenience sampling was conducted among commercial vehicle drivers in Lahore, Pakistan (n = 901) to record their behaviours/experiences regarding road rage and road traffic accidents. Respondents were asked about incidents of shouting/cursing/rude gestures or threats to physically hurt the person/vehicle, by others or themselves, in the previous 24 hours or 3 months, and their involvement in road traffic accidents in the previous 12 months. Auto-rickshaw drivers were significantly more likely to report various road rage experiences/behaviours and involvement in accidents compared with bus and wagon drivers. A total of 112 respondents (12.4%) reported being involved in a road traffic accident in the previous 12 months but traffic police did not record the accident in 52.7% of cases. The results of this study underline the need to improve road safety in Pakistan.

  13. Driving behaviours, traffic risk and road safety: comparative study between Malaysia and Singapore.

    Science.gov (United States)

    Khan, Saif ur Rehman; Khalifah, Zainab Binti; Munir, Yasin; Islam, Talat; Nazir, Tahira; Khan, Hashim

    2015-01-01

    The present study aims to investigate differences in road safety attitude, driver behaviour and traffic risk perception between Malaysia and Singapore. A questionnaire-based survey was conducted among a sample of Singaporean (n = 187) and Malaysian (n = 313) road users. The data was analysed using confirmatory factor analysis and structural equation modelling applied to measure comparative fit indices of Malaysian and Singaporean respondents. The results show that the perceived traffic risk of Malaysian respondents is higher than Singaporean counterparts. Moreover, the structural equation modelling has confirmed perceived traffic risk performing the role of full mediation between perceived driving skills and perceived road safety for both the countries, while perceived traffic skills was found to perform the role of partial mediation between aggression and anxiety, on one hand, and road safety, on the other hand, in Malaysia and Singapore. In addition, in both countries, a weak correlation between perceived driving skills, aggression and anxiety with perceived road safety was found, while a strong correlation exists with traffic risk perception. The findings of this study have been discussed in terms of theoretical, practical and conceptual implications for both scholars and policy-makers to better understand the young drivers' attitude and behaviour relationship towards road safety measures with a view to future research.

  14. Trends in Road Traffic Deaths in Yazd, Iran, 2004 - 2010.

    Science.gov (United States)

    Mirzaei, Mohsen; Mirzadeh, Mahboobahsadat; Shogaei Far, Hossein; Mirzaei, Mojtaba

    2016-06-01

    Road traffic deaths are a considerable public health problem and a major source of lost financial and human resources. Most mortality occurs in low- and middle-income countries. This study aimed to measure road traffic fatality rates and years of lost life, and also to depict a view of trends in road traffic deaths from 2004 to 2010 in Yazd city, a province in central Iran. This retrospective case study analyzed road traffic deaths that were classified under the V01 - V99 codes of the ICD-10 in Yazd province from March 2004 to March 2010, using data that were collected from the death registration system of the Yazd province health center. Cases were classified according to age, sex, time of year, and residence (urban vs. rural). Years of lost life and road fatality rate per 100,000 people were calculated. Data were analyzed using chi-square test and ANOVA with SPSS 16. During the seven-year period of this study, 3,028 people in Yazd province died due to road traffic accidents (9.1% of total deaths in the province). Most deaths occurred among people aged 20-24 (15%), men (82.7%), and urban residents (82.6%). Total years of lost life (YLL) were 73,875 (60,337 and 13,489 in men and women, respectively). The road traffic fatality rate per 100,000 was 47.6 in 2004 and 37.6 in 2010. In the study period, the rate of traffic fatalities decreased for men (from 77.9 to 68.5) but this is not the case for women (from 14.8 to 19.2). Road traffic deaths peaked every summer. Despite the overall reduction trend, the road traffic fatality rate in Yazd province is still alarmingly high compared to national and global data. In addition, the female population shows increasing death rates. These findings can serve as a basis for health care professionals and policymakers to conduct preventive measures, especially during summer, and plan specifically for reducing fatalities in the female population.

  15. The impact of traffic sign deficit on road traffic accidents in Nigeria.

    Science.gov (United States)

    Ezeibe, Christian; Ilo, Chukwudi; Oguonu, Chika; Ali, Alphonsus; Abada, Ifeanyi; Ezeibe, Ezinwanne; Oguonu, Chukwunonso; Abada, Felicia; Izueke, Edwin; Agbo, Humphrey

    2018-04-04

    This study assesses the impact of traffic sign deficit on road traffic accidents in Nigeria. The participants were 720 commercial vehicle drivers. While simple random sampling was used to select 6 out of 137 federal highways, stratified random sampling was used to select six categories of commercial vehicle drivers. The study used qual-dominant mixed methods approach comprising key informant interviews; group interviews; field observation; policy appraisal and secondary literature on traffic signs. Result shows that the failure of government to provide and maintain traffic signs in order to guide road users through the numerous accident black spots on the highways is the major cause of road accidents in Nigeria. The study argues that provision and maintenance of traffic signs present opportunity to promoting safety on the highways and achieving the sustainable development goals.

  16. Safety and risk in road traffic: selected problems

    Directory of Open Access Journals (Sweden)

    Zbigniew ŁUKASIK

    2012-01-01

    Full Text Available In the field of road safety, the concept of "risk" is used to define a measurable level of road safety dependent on numerical accident exposure value. This is an approach different (even contradictory to calculate the level of security, measured by the number of accidents or injuries. So, whether otherwise - risk assessment is needed to improve the safety of road transport and define priorities in the field of public health. The article presents the concept of risk and selected problems of risk analysis in road traffic.

  17. Pattern of emergency room mortality among road traffic crash victims.

    Science.gov (United States)

    Babalola, Oladimeji Ranti; Oluwadiya, Kehinde; Vrgoč, Goran; Akpati, Ugochukwu; Sindik, Joško; Čoklo, Miran; Marinović, Marin; Bakota, Bore

    2015-11-01

    Road traffic injuries are a major cause of death in the emergency room. The goal of this study was to highlight the demographic pattern of road traffic-related deaths in the accident and emergency room of a regional trauma centre. This was a 5-year retrospective study in which road traffic-related cases of emergency room mortality between June 2009 and June 2014 were reviewed. A total of 33 road traffic crash-related deaths occurred during this period with a male-to-female ratio of 2.3:1. Most of these patients were pedestrians with severe injuries involving two or more Abbreviated Injury Scale (AIS) coded regions. The mean time between injury and presentation in the first trauma facility was 112.1 (±55.4)min, and between presentation in the emergency room and death was 410 (±645)min. Mangled lower extremity, bilateral long bone lower limb fractures, pelvic injuries, blunt injuries to the chest and abdomen, and cranial fossae fractures were the common injury pattern. Median ISS and NISS in these patients were 22 (interquartile range [IQR]=11) and 25 (IQR=17), respectively. Severe injuries, delayed presentation, multiple referrals and delayed resuscitative measures contribute to road traffic crash-related mortality. Copyright © 2015 Elsevier Ltd. All rights reserved.

  18. Factors associated with road traffic injuries in Tanzania.

    Science.gov (United States)

    Boniface, Respicious; Museru, Lawrence; Kiloloma, Othman; Munthali, Victoria

    2016-01-01

    Injuries represent a significant cause of morbidity and mortality worldwide and road traffic crashes accounts for a significant proportion of these injuries. Tanzania is among the countries with high rates of road traffic crashes. The aim of this study was to determine the pattern, associated factors and management of road traffic injury patients in Tanzania. A cross-sectional study of patients involved in motor traffic crashes and attended in six public hospitals of Tanzania mainland between April 2014 and September 2014. A total of 4675 road traffic injury patients were seen in studied hospitals, 76.6% were males. Majority (70.2%) were between 18 - 45 years age group. Motorcycles were the leading cause of road traffic crashes (53.4%), and drivers (38.3%) accounted for majority of victims. Fractures accounted for 34.1%, and injuries were severe in 2.2% as determined by the Kampala trauma score II (KTS II). Majorities 57.4% were admitted and 2.2% died at the casualty. Factors associated with mortality were; using police vehicles to hospital (P = 0.000), receiving medical attention within 2 to 10 hours after injury (P = 0.000), 18 - 45 years age group (P = 0.019), not using helmet (P = 0.007), severe injuries (P = 0.000) and sustaining multiple injury (P = 0.000). Road traffic Injuries in Tanzania are an important public health problem, predominantly in adult males, mostly due to motorcycle crashes. It is therefore important to reinforce preventive measures and pre-hospital emergency service is urgently needed.

  19. Traffic data reconstruction based on Markov random field modeling

    International Nuclear Information System (INIS)

    Kataoka, Shun; Tanaka, Kazuyuki; Yasuda, Muneki; Furtlehner, Cyril

    2014-01-01

    We consider the traffic data reconstruction problem. Suppose we have the traffic data of an entire city that are incomplete because some road data are unobserved. The problem is to reconstruct the unobserved parts of the data. In this paper, we propose a new method to reconstruct incomplete traffic data collected from various sensors. Our approach is based on Markov random field modeling of road traffic. The reconstruction is achieved by using a mean-field method and a machine learning method. We numerically verify the performance of our method using realistic simulated traffic data for the real road network of Sendai, Japan. (paper)

  20. Association of waterpipe smoking and road traffic crashes

    Directory of Open Access Journals (Sweden)

    Karbakhsh Mojgan

    2010-10-01

    Full Text Available Abstract Background The purpose of this research was to examine whether waterpipe smokers experience increased risk of motor vehicle crashes. Methods In a telephone survey, a random sample of Iranian drivers were asked to report their age, gender, vehicle age, whether their vehicles were equipped with anti-lock braking system (ABS, average daily drive time (DDT, whether they smoked cigarette or waterpipe, whether they had diabetes mellitus (DM, number of traffic crashes during the last calendar year and whether the crash involved a pedestrian or another vehicle. Results A total of 2070 motor vehicle owners with the mean age of 41.6 ± 11.45 were interviewed. The annual incidence of Road Traffic Crashes (RTC was 14.9%; 14.0% involved a collision/s with other vehicles and 0.9% with pedestrians. There was an association between the RTC and male gender, DDT, being a cigarette smoker, being a waterpipe smoker and DM in univariable analysis. The association between RTC and being a waterpipe smoker and also cigarette smoker was significant in multivariable analysis after adjustment for DDT. Conclusions Being waterpipe and/or cigarette smoker and DDT were the independent predictors of the number of traffic crashes in Poisson regression model. If the increased risk of RTC among waterpipe or cigarette smokers is seen in other studies, it would be beneficial to promote tobacco cessation and control strategies through injury prevention initiatives.

  1. Association of waterpipe smoking and road traffic crashes.

    Science.gov (United States)

    Saadat, Soheil; Karbakhsh, Mojgan

    2010-10-23

    The purpose of this research was to examine whether waterpipe smokers experience increased risk of motor vehicle crashes. In a telephone survey, a random sample of Iranian drivers were asked to report their age, gender, vehicle age, whether their vehicles were equipped with anti-lock braking system (ABS), average daily drive time (DDT), whether they smoked cigarette or waterpipe, whether they had diabetes mellitus (DM), number of traffic crashes during the last calendar year and whether the crash involved a pedestrian or another vehicle. A total of 2070 motor vehicle owners with the mean age of 41.6 ± 11.45 were interviewed. The annual incidence of Road Traffic Crashes (RTC) was 14.9%; 14.0% involved a collision/s with other vehicles and 0.9% with pedestrians. There was an association between the RTC and male gender, DDT, being a cigarette smoker, being a waterpipe smoker and DM in univariable analysis. The association between RTC and being a waterpipe smoker and also cigarette smoker was significant in multivariable analysis after adjustment for DDT. Being waterpipe and/or cigarette smoker and DDT were the independent predictors of the number of traffic crashes in Poisson regression model. If the increased risk of RTC among waterpipe or cigarette smokers is seen in other studies, it would be beneficial to promote tobacco cessation and control strategies through injury prevention initiatives.

  2. Selection of suitable alternatives to reduce the environmental impact of road traffic noise using a fuzzy multi-criteria decision model

    International Nuclear Information System (INIS)

    Ruiz-Padillo, Alejandro; Ruiz, Diego P.; Torija, Antonio J.; Ramos-Ridao, Ángel

    2016-01-01

    Road traffic noise is one of the most significant environmental impacts generated by transport systems. To this regard, the recent implementation of the European Environmental Noise Directive by Public Administrations of the European Union member countries has led to various noise action plans (NAPs) for reducing the noise exposure of EU inhabitants. Every country or administration is responsible for applying criteria based on their own experience or expert knowledge, but there is no regulated process for the prioritization of technical measures within these plans. This paper proposes a multi-criteria decision methodology for the selection of suitable alternatives against traffic noise in each of the road stretches included in the NAPs. The methodology first defines the main criteria and alternatives to be considered. Secondly, it determines the relative weights for the criteria and sub-criteria using the fuzzy extended analytical hierarchy process as applied to the results from an expert panel, thereby allowing expert knowledge to be captured in an automated way. A final step comprises the use of discrete multi-criteria analysis methods such as weighted sum, ELECTRE and TOPSIS, to rank the alternatives by suitability. To illustrate an application of the proposed methodology, this paper describes its implementation in a complex real case study: the selection of optimal technical solutions against traffic noise in the top priority road stretch included in the revision of the NAP of the regional road network in the province of Almeria (Spain).

  3. Factors Affecting Road Traffic Accident in Batu Pahat, Johor, Malaysia

    Science.gov (United States)

    Che-Him, Norziha; Roslan, Rozaini; Saifullah Rusiman, Mohd; Khalid, Kamil; Ghazali Kamardan, M.; Azbi Arobi, Farquis; Mohamad, Nazeera

    2018-04-01

    A road traffic accident resulted from the combination of factors related to the few components of the system involving environment, roads, road users, vehicles and the interaction between those systems. Road traffic accident (RTA) in Malaysia recorded as the highest fatality rate (per 100,000 population) among the ASEAN countries. In 2016, more than half of million cases accident recorded with more than 7,000 people were killed. Therefore, the RTA is one of the most critical issue in Malaysia even become the worldwide burden to authority. Generally, driving is a complex process which involves movement of a vehicle by either a computer or human controller. However, failure to control and coordinate will contribute to an accident. The objective of this study is to identify the pattern of accident in Johor Malaysia and to examine the relationship between the number of accident and the types of vehicles and roads. The results could help the government to recognise the different patterns, types of vehicles and roads that show major factors in the increasing of road traffic accident in Malaysia.

  4. Rumble devices for road traffic safety

    CSIR Research Space (South Africa)

    Jobson, AJ

    1973-01-01

    Full Text Available A number of rumble installations have been constructed on rural roads in South Africa and although no local accident data are available the provincial roads engineers consider them of value in alerting drives to the need for caution...

  5. SAE for the prediction of road traffic status from taxicab operating data and bus smart card data

    Science.gov (United States)

    Zhengfeng, Huang; Pengjun, Zheng; Wenjun, Xu; Gang, Ren

    Road traffic status is significant for trip decision and traffic management, and thus should be predicted accurately. A contribution is that we consider multi-modal data for traffic status prediction than only using single source data. With the substantial data from Ningbo Passenger Transport Management Sector (NPTMS), we wished to determine whether it was possible to develop Stacked Autoencoders (SAEs) for accurately predicting road traffic status from taxicab operating data and bus smart card data. We show that SAE performed better than linear regression model and Back Propagation (BP) neural network for determining the relationship between road traffic status and those factors. In a 26-month data experiment using SAE, we show that it is possible to develop highly accurate predictions (91% test accuracy) of road traffic status from daily taxicab operating data and bus smart card data.

  6. Combined effects of road traffic noise and ambient air pollution in relation to risk for stroke?

    Science.gov (United States)

    Sørensen, Mette; Lühdorf, Pernille; Ketzel, Matthias; Andersen, Zorana J; Tjønneland, Anne; Overvad, Kim; Raaschou-Nielsen, Ole

    2014-08-01

    Exposure to road traffic noise and air pollution have both been associated with risk for stroke. The few studies including both exposures show inconsistent results. We aimed to investigate potential mutual confounding and combined effects between road traffic noise and air pollution in association with risk for stroke. In a population-based cohort of 57,053 people aged 50-64 years at enrollment, we identified 1999 incident stroke cases in national registries, followed by validation through medical records. Mean follow-up time was 11.2 years. Present and historical residential addresses from 1987 to 2009 were identified in national registers and road traffic noise and air pollution were modeled for all addresses. Analyses were done using Cox regression. A higher mean annual exposure at time of diagnosis of 10 µg/m(3) nitrogen dioxide (NO2) and 10 dB road traffic noise at the residential address was associated with ischemic stroke with incidence rate ratios (IRR) of 1.11 (95% CI: 1.03, 1.20) and 1.16 (95% CI: 1.07, 1.24), respectively, in single exposure models. In two-exposure models road traffic noise (IRR: 1.15) and not NO2 (IRR: 1.02) was associated with ischemic stroke. The strongest association was found for combination of high noise and high NO2 (IRR=1.28; 95% CI=1.09-1.52). Fatal stroke was positively associated with air pollution and not with traffic noise. In conclusion, in mutually adjusted models road traffic noise and not air pollution was associated ischemic stroke, while only air pollution affected risk for fatal strokes. There were indications of combined effects. Copyright © 2014 Elsevier Inc. All rights reserved.

  7. 1999 road traffic crashes in Queensland : a report on the road toll

    Science.gov (United States)

    2000-01-01

    This report presents an overview of reported road traffic crashes in Queensland for the year : ended 31 December 1999 in the context of the previous five years. : The information in this bulletin is based on data contained in the Queensland Road Cras...

  8. 2000 road traffic crashes in Queensland : a report on the road toll

    Science.gov (United States)

    2001-01-01

    This report presents an overview of reported road traffic crashes in Queensland for the year : ended 31 December 2000 in the context of the previous five years. : The information in this bulletin is based on data contained in the Queensland Road Cras...

  9. 2001 road traffic crashes in Queensland : a report on the road toll

    Science.gov (United States)

    2002-01-01

    This report presents an overview of reported road traffic crashes in Queensland for the year ended 31 December 2001 in the context of the previous five years. : The information in this report is based on data contained in the Queensland Road Crash In...

  10. 2003 road traffic crashes in Queensland : a report on the road toll

    Science.gov (United States)

    2005-06-01

    This report presents an overiew of reported road traffic crashes in Queensland for the year ended 31 December 2003 in the context of the previous five years, based on data contained in the Queensland Road Crash Information System maintained by the Qu...

  11. 2002 road traffic crashes in Queensland : a report on the road toll

    Science.gov (United States)

    2003-12-01

    This report presents an overview of reported road traffic crashes in Queensland for the year : ended 31 December 2002 in the context of the previous five years, based on data contained in : the Queensland Road Crash Information System maintained by Q...

  12. The twelfth Sir Richard Fairey memorial lecture: The annoyance due to road traffic noise, the mathematical modelling of such noise and the sound proofing of road vehicles

    Science.gov (United States)

    Lamure, C.

    1981-12-01

    The paper is divided into three parts illustrating three directions in traffic noise research. Studies on the effects of noise habitually involve surveys about people living close to highways, and these are discussed in the first part. There are still many difficulties in connecting the kinds and extent of disturbance people say they experience with traffic noise, but great hopes lie in the observation of behaviour. The accuracy in the descriptions of real exposure to noise becomes increasingly significant in the analyses of sleep disturbances. The bulk of the studies carried out so far has led to the definition of indices and thresholds for daytime disturbances but progress is still required in the field of night-time disturbances. The second part is about methods of prediction of traffic noise and some principles are recalled that tend to be overlooked in the current use of Leq. The use of other indices and studies on measure-accuracy would restore their significance to statistical approaches which must follow realistic laws of distribution of vehicle intervals and also of vehicle acoustical powers. Yet too much mathematical sophistication is often useless in common cases of application. The last part ddeals with noise reduction at source. Various prototypes of quiet trucks enable us to evaluate fairly correctly the costs and additional weights entailed by reductions of emissions of about 10 dB(A) when engines are encapsulated. The range of experiments on cars is not so wide but various operations in Europe are currently aiming at designing cars that would not emit more than 73-74 dB (instead of 80 dB(A) in the present regulations). Similarly, the methods and instrumentation to study engine noise have been greatly developed over the last five years. In conclusion it can be said that traffic noise has touched off widely diversified research involving various specialities. Metrology is comparatively less important than it used to be 15 years ago.

  13. No evidence of a threshold in traffic volume affecting road-kill mortality at a large spatio-temporal scale

    Energy Technology Data Exchange (ETDEWEB)

    Grilo, Clara, E-mail: clarabentesgrilo@gmail.com [Departamento de Biología de la Conservación, Estación Biológica de Doñana (EBD-CSIC), Calle Américo Vespucio s/n, E-41092 Sevilla (Spain); Centro Brasileiro de Estudos em Ecologia de Estradas, Departamento de Biologia, Universidade Federal de Lavras, Campus Universitário, 37200-000 Lavras, Minas Gerais (Brazil); Ferreira, Flavio Zanchetta; Revilla, Eloy [Departamento de Biología de la Conservación, Estación Biológica de Doñana (EBD-CSIC), Calle Américo Vespucio s/n, E-41092 Sevilla (Spain)

    2015-11-15

    Previous studies have found that the relationship between wildlife road mortality and traffic volume follows a threshold effect on low traffic volume roads. We aimed at evaluating the response of several species to increasing traffic intensity on highways over a large geographic area and temporal period. We used data of four terrestrial vertebrate species with different biological and ecological features known by their high road-kill rates: the barn owl (Tyto alba), hedgehog (Erinaceus europaeus), red fox (Vulpes vulpes) and European rabbit (Oryctolagus cuniculus). Additionally, we checked whether road-kill likelihood varies when traffic patterns depart from the average. We used annual average daily traffic (AADT) and road-kill records observed along 1000 km of highways in Portugal over seven consecutive years (2003–2009). We fitted candidate models using Generalized Linear Models with a binomial distribution through a sample unit of 1 km segments to describe the effect of traffic on the probability of finding at least one victim in each segment during the study. We also assigned for each road-kill record the traffic of that day and the AADT on that year to test for differences using Paired Student's t-test. Mortality risk declined significantly with traffic volume but varied among species: the probability of finding road-killed red foxes and rabbits occurs up to moderate traffic volumes (< 20,000 AADT) whereas barn owls and hedgehogs occurred up to higher traffic volumes (40,000 AADT). Perception of risk may explain differences in responses towards high traffic highway segments. Road-kill rates did not vary significantly when traffic intensity departed from the average. In summary, we did not find evidence of traffic thresholds for the analysed species and traffic intensities. We suggest mitigation measures to reduce mortality be applied in particular on low traffic roads (< 5000 AADT) while additional measures to reduce barrier effects should take into

  14. No evidence of a threshold in traffic volume affecting road-kill mortality at a large spatio-temporal scale

    International Nuclear Information System (INIS)

    Grilo, Clara; Ferreira, Flavio Zanchetta; Revilla, Eloy

    2015-01-01

    Previous studies have found that the relationship between wildlife road mortality and traffic volume follows a threshold effect on low traffic volume roads. We aimed at evaluating the response of several species to increasing traffic intensity on highways over a large geographic area and temporal period. We used data of four terrestrial vertebrate species with different biological and ecological features known by their high road-kill rates: the barn owl (Tyto alba), hedgehog (Erinaceus europaeus), red fox (Vulpes vulpes) and European rabbit (Oryctolagus cuniculus). Additionally, we checked whether road-kill likelihood varies when traffic patterns depart from the average. We used annual average daily traffic (AADT) and road-kill records observed along 1000 km of highways in Portugal over seven consecutive years (2003–2009). We fitted candidate models using Generalized Linear Models with a binomial distribution through a sample unit of 1 km segments to describe the effect of traffic on the probability of finding at least one victim in each segment during the study. We also assigned for each road-kill record the traffic of that day and the AADT on that year to test for differences using Paired Student's t-test. Mortality risk declined significantly with traffic volume but varied among species: the probability of finding road-killed red foxes and rabbits occurs up to moderate traffic volumes (< 20,000 AADT) whereas barn owls and hedgehogs occurred up to higher traffic volumes (40,000 AADT). Perception of risk may explain differences in responses towards high traffic highway segments. Road-kill rates did not vary significantly when traffic intensity departed from the average. In summary, we did not find evidence of traffic thresholds for the analysed species and traffic intensities. We suggest mitigation measures to reduce mortality be applied in particular on low traffic roads (< 5000 AADT) while additional measures to reduce barrier effects should take into

  15. Road Traffic Anomaly Detection via Collaborative Path Inference from GPS Snippets

    Science.gov (United States)

    Wang, Hongtao; Wen, Hui; Yi, Feng; Zhu, Hongsong; Sun, Limin

    2017-01-01

    Road traffic anomaly denotes a road segment that is anomalous in terms of traffic flow of vehicles. Detecting road traffic anomalies from GPS (Global Position System) snippets data is becoming critical in urban computing since they often suggest underlying events. However, the noisy and sparse nature of GPS snippets data have ushered multiple problems, which have prompted the detection of road traffic anomalies to be very challenging. To address these issues, we propose a two-stage solution which consists of two components: a Collaborative Path Inference (CPI) model and a Road Anomaly Test (RAT) model. CPI model performs path inference incorporating both static and dynamic features into a Conditional Random Field (CRF). Dynamic context features are learned collaboratively from large GPS snippets via a tensor decomposition technique. Then RAT calculates the anomalous degree for each road segment from the inferred fine-grained trajectories in given time intervals. We evaluated our method using a large scale real world dataset, which includes one-month GPS location data from more than eight thousand taxicabs in Beijing. The evaluation results show the advantages of our method beyond other baseline techniques. PMID:28282948

  16. Road Traffic Accident Rate as an Indicator of the Quality of Life

    Directory of Open Access Journals (Sweden)

    Artur Igorevich Petrov

    2016-07-01

    Full Text Available The paper considers the issues devoted to assessing the connection between the quality of life and road traffic accident rate in different countries. The hypothesis put forward in the paper is based on the idea that the organization and functioning of the state road traffic safety management system and the outcome characteristics of road traffic accident rate in the road complex are closely related and are derived from the level of development of non-governmental institutions in a particular country. In order to determine how true this hypothesis is, the author carried out statistical studies of the relations between the estimates of the Quality of Life presented for 60 countries in the US News & World Report and the Human Risk indicators estimated for these countries. This indicator proposed by R. Smeed in 1949 for assessing the state of affairs in the field of road safety allows us to evaluate adequately the position of countries in the world ranking of road traffic accident rate. The research aims to establish a regularity that identifies the statistical relationship between the characteristics of the quality of life and human risk (by R. Smeed. The method of construction of correlation-regression models of the processes under consideration is used to achieve this goal. It has been established that there exists a noticeable inverse statistical relationship between the variables of the Quality of Life in different countries (according to the US News & World Report and Human Risk (according to the World Health Organization. The paper discusses reasons for a decline in road traffic accident rate when the quality of life becomes better. The main conclusion of the study lies in the understanding that there exists a strong cause and effect relationship between the level of development of social institutions and the level of transport culture of the population; this relationship is implemented in the form of specific cases of transport

  17. A Marine Traffic Flow Model

    Directory of Open Access Journals (Sweden)

    Tsz Leung Yip

    2013-03-01

    Full Text Available A model is developed for studying marine traffic flow through classical traffic flow theories, which can provide us with a better understanding of the phenomenon of traffic flow of ships. On one hand, marine traffic has its special features and is fundamentally different from highway, air and pedestrian traffic. The existing traffic models cannot be simply extended to marine traffic without addressing marine traffic features. On the other hand, existing literature on marine traffic focuses on one ship or two ships but does not address the issues in marine traffic flow.

  18. Emission and energy consumption characteristics of interrupted over-saturated flow for urban roads with heterogeneous traffic

    Directory of Open Access Journals (Sweden)

    Hemant Kumar SHARMA

    2012-01-01

    Full Text Available Road transport is a major source of air pollution particularly in towns and cities. In urban areas road traffic accounts for more than half of the emissions of nitrogen oxides, carbon mono-oxide and volatile organic compounds. This paper presents emission and energy consumption characteristics of urban roads with interrupted oversaturated flow comprising of heterogeneous traffic. Model has been developed for heterogeneous traffic under constraints of roadway geometry, vehicle characteristics, driving behaviour and traffic controls and has been calibrated and validated for interrupted oversaturated traffic conditions. Interrupted oversaturated flow conditions prevail in urban areas of most of the developing countries. The model developed shall predict carbon mono- oxide (CO, nitrogen oxides (NOx, volatile organic compounds (VOC, carbon dioxide (CO2 and fuel and energy consumption estimates for urban roads operating under oversaturated conditions of flow. Since model provides improved estimates of speed, delay and congestion it provides better estimates of emissions and energy consumption.

  19. Competitive Traffic Assignment in Road Networks

    Directory of Open Access Journals (Sweden)

    Krylatov Alexander Y.

    2016-09-01

    Full Text Available Recently in-vehicle route guidance and information systems are rapidly developing. Such systems are expected to reduce congestion in an urban traffic area. This social benefit is believed to be reached by imposing the route choices on the network users that lead to the system optimum traffic assignment. However, guidance service could be offered by different competitive business companies. Then route choices of different mutually independent groups of users may reject traffic assignment from the system optimum state. In this paper, a game theoretic approach is shown to be very efficient to formalize competitive traffic assignment problem with various groups of users in the form of non-cooperative network game with the Nash equilibrium search. The relationships between the Wardrop’s system optimum associated with the traffic assignment problem and the Nash equilibrium associated with the competitive traffic assignment problem are investigated. Moreover, some related aspects of the Nash equilibrium and the Wardrop’s user equilibrium assignments are also discussed.

  20. Identification of Risk Factors Influencing Road Traffic Accidents

    Directory of Open Access Journals (Sweden)

    M. Touahmia

    2018-02-01

    Full Text Available Road traffic accidents (RTAs are becoming a major problem around the world, incurring enormous losses of human and economic resources. Recent reports from the World Health Organization (WHO reveal that each year more than 1.25 million people are killed and 50 million are injured in road traffic accidents worldwide. In Saudi Arabia, statistics show that at least one traffic accident occurs every minute, causing up to 7,000 deaths and over 39,000 injuries annually. In this study, the main causes of RATs in the province of Hail are examined. The data was collected through the use of a survey which was developed to evaluate the effect of influencing parameters on RTA rate. The results show that 67% of RTAs result from human factors, 29% from road conditions and 4% from vehicle defects. Excessive speed and violation of traffic rules and regulations were found to be the main causes of RATs. Low rates of compliance with speed limit signs and seat-belt regulations were also observed. These findings highlight the need of strengthening effective traffic law enforcement alongside with improving traffic safety and raising public awareness.

  1. Road accident rates: strategies and programmes for improving road traffic safety.

    Science.gov (United States)

    Goniewicz, K; Goniewicz, M; Pawłowski, W; Fiedor, P

    2016-08-01

    Nowadays, the problem of road accident rates is one of the most important health and social policy issues concerning the countries in all continents. Each year, nearly 1.3 million people worldwide lose their life on roads, and 20-50 million sustain severe injuries, the majority of which require long-term treatment. The objective of the study was to identify the most frequent, constantly occurring causes of road accidents, as well as outline actions constituting a basis for the strategies and programmes aiming at improving traffic safety on local and global levels. Comparative analysis of literature concerning road safety was performed, confirming that although road accidents had a varied and frequently complex background, their causes have changed only to a small degree over the years. The causes include: lack of control and enforcement concerning implementation of traffic regulation (primarily driving at excessive speed, driving under the influence of alcohol, and not respecting the rights of other road users (mainly pedestrians and cyclists), lack of appropriate infrastructure and unroadworthy vehicles. The number of fatal accidents and severe injuries, resulting from road accidents, may be reduced through applying an integrated approach to safety on roads. The strategies and programmes for improving road traffic should include the following measures: reducing the risk of exposure to an accident, prevention of accidents, reduction in bodily injuries sustained in accidents, and reduction of the effects of injuries by improvement of post-accident medical care.

  2. Street characteristics and traffic factors determining road users' exposure to black carbon

    Energy Technology Data Exchange (ETDEWEB)

    Dons, Evi, E-mail: evi.dons@vito.be [VITO (Flemish Institute for Technological Research), Boeretang 200, 2400 Mol (Belgium); IMOB (Transportation Research Institute), Hasselt University, Wetenschapspark 5 bus 6, 3590 Diepenbeek (Belgium); Temmerman, Philip [IMOB (Transportation Research Institute), Hasselt University, Wetenschapspark 5 bus 6, 3590 Diepenbeek (Belgium); Van Poppel, Martine [VITO (Flemish Institute for Technological Research), Boeretang 200, 2400 Mol (Belgium); Bellemans, Tom; Wets, Geert [IMOB (Transportation Research Institute), Hasselt University, Wetenschapspark 5 bus 6, 3590 Diepenbeek (Belgium); Int Panis, Luc [VITO (Flemish Institute for Technological Research), Boeretang 200, 2400 Mol (Belgium); IMOB (Transportation Research Institute), Hasselt University, Wetenschapspark 5 bus 6, 3590 Diepenbeek (Belgium)

    2013-03-01

    Many studies nowadays make the effort of determining personal exposure rather than estimating exposure at the residential address only. While intra-urban air pollution can be modeled quite easily using interpolation methods, estimating exposure in transport is more challenging. The aim of this study is to investigate which factors determine black carbon (BC) concentrations in transport microenvironments. Therefore personal exposure measurements are carried out using portable aethalometers, trip diaries and GPS devices. More than 1500 trips, both by active modes and by motorized transport, are evaluated in Flanders, Belgium. GPS coordinates are assigned to road segments to allow BC concentrations to be linked with trip and road characteristics (trip duration, degree of urbanization, road type, traffic intensity, travel speed and road speed). Average BC concentrations on highways (10.7 μg/m{sup 3}) are comparable to concentrations on urban roads (9.6 μg/m{sup 3}), but levels are significantly higher than concentrations on rural roads (6.1 μg/m{sup 3}). Highways yield higher BC exposures for motorists compared to exposure on major roads and local roads. Overall BC concentrations are elevated at lower speeds (< 30 km/h) and at speeds above 80 km/h, in accordance to vehicle emission functions. Driving on roads with low traffic intensities resulted in lower exposures than driving on roads with higher traffic intensities (from 5.6 μg/m{sup 3} for roads with less than 500 veh/h, up to 12 μg/m{sup 3} for roads with over 2500 veh/h). Traffic intensity proved to be the major explanatory variable for in-vehicle BC exposure, together with timing of the trip and urbanization. For cyclists and pedestrians the range in BC exposure is smaller and models are less predictive; for active modes exposure seems to be influenced by timing and degree of urbanization only. - Highlights: ► Aethalometers, an electronic diary and GPS were used to measure exposure in transport ► More

  3. VBR video traffic models

    CERN Document Server

    Tanwir, Savera

    2014-01-01

    There has been a phenomenal growth in video applications over the past few years. An accurate traffic model of Variable Bit Rate (VBR) video is necessary for performance evaluation of a network design and for generating synthetic traffic that can be used for benchmarking a network. A large number of models for VBR video traffic have been proposed in the literature for different types of video in the past 20 years. Here, the authors have classified and surveyed these models and have also evaluated the models for H.264 AVC and MVC encoded video and discussed their findings.

  4. Residential road traffic noise exposure and survival after breast cancer - A cohort study.

    Science.gov (United States)

    Roswall, Nina; Bidstrup, Pernille Envold; Raaschou-Nielsen, Ole; Jensen, Steen Solvang; Olsen, Anja; Sørensen, Mette

    2016-11-01

    It is generally acknowledged that patients with already existing clinical conditions are especially vulnerable to the effects of traffic noise exposure. The aim of the present study was to investigate the association between residential road traffic noise and breast cancer survival. Road traffic noise was calculated for all residential addresses from 1987 to February 2012 for incident breast cancer cases (n=1,759) in a cohort of 57,053 Danes. We used Cox Proportional Hazard Models to investigate the association between residential road traffic noise at different time-windows, and overall and breast cancer-specific mortality. Furthermore, we investigated interaction with prognostic and socioeconomic factors. Mortality Rate Ratios (MRR) were calculated in both unadjusted models, and adjusted for residential railway noise, lifestyle factors and socioeconomic variables. During a median of 7.3 years of follow-up, 402 patients died; 274 from breast cancer. We found no association between time-weighted averages of residential road traffic noise 1-, 3- or 5-years before death, or over the entire follow-up period, and overall or breast cancer-specific mortality. A 10dB higher road traffic noise from diagnosis until censoring was associated with an adjusted MRR of 0.94 (0.81-1.08) for all-cause mortality. The association was modified by lymph node involvement, with a MRR of 1.20 (0.97-1.48) for those with tumor-positive lymph nodes and 0.76 (0.59-0.98) for those without. The present study suggests no association between residential road traffic noise and concurrent mortality. As it is the first study of its kind, with relatively limited power, further studies are warranted. Copyright © 2016 Elsevier Inc. All rights reserved.

  5. Road traffic noise: annoyance, sleep disturbance, and public health implications.

    Science.gov (United States)

    Kim, Minho; Chang, Seo I; Seong, Jeong C; Holt, James B; Park, Tae H; Ko, Joon H; Croft, Janet B

    2012-10-01

    The WHO has recognized environmental noise as harmful pollution that causes adverse psychosocial and physiologic effects (i.e., annoyance and sleep disturbance) on human health. In Europe, noise-related health studies have been actively conducted, but the U.S. has lagged behind in this research field. This research predicted ambient levels of road traffic noise for a highly urbanized area: Fulton County GA. Assessment was made of noise impacts on the population, focusing on annoyance and sleep disturbance. All the data sets were collected during 2009-2011, and data analysis was performed in 2010-2011. The study used a sound-propagation model for noise-level prediction and derived noise-impact indicators for annoyance and sleep disturbance from exposure-response models. Then, annoyed and sleep-disturbed populations were predicted with the use of each noise-impact indicator. It was predicted that 109,967 people would be at risk of being highly annoyed, with 19,621 people at risk for high sleep disturbance for Fulton County GA. Noise-impact indicators such as the percentage of those who were highly annoyed and who had high levels of sleep disturbance were expected to be valuable metrics to compare noise equity among urban communities. Many residents of the greater Atlanta area may be exposed to noise levels that put them at risk of being highly annoyed or having high levels of sleep disturbance. These results, if generalized to other urban areas with high levels of road traffic, indicate that it may be important for the public's health to update existing noise-related policies or develop new ones to control and abate noise concerns in urban communities. Published by Elsevier Inc.

  6. Assessing the impact of road traffic on cycling for leisure and cycling to work

    Directory of Open Access Journals (Sweden)

    Wareham Nicholas J

    2011-06-01

    Full Text Available Abstract Background To explore the relationship between leisure and commuter cycling with objectively measured levels of road traffic and whether any relationship was affected by traffic levels directly outside of home or in local neighbourhood. Findings We conducted a secondary analysis of data from the UK European Prospective Investigation of Cancer (EPIC Norfolk cohort in 2009. We used a geographical information system (GIS and gender specific multivariate models to relate 13 927 participants' reported levels of cycling with an index of road traffic volume (Road Traffic Volume Index Score - RTVIS. RTVIS were calculated around each participants home, using four distance based buffers, (0.5 km, 1 km, 2 km and 3.2 km. Models were adjusted for age, social status, education, car access and deprivation. Both genders had similar decreases in leisure cycling as traffic volumes increased at greater distances from home (OR 0.42, (95% CI 0.32-0.52, p Conclusions Traffic volumes appear to have greater impact on leisure cycling than commuter cycling. Future research should investigate the importance of traffic on different types of cycling and include psychosocial correlates.

  7. Road traffic noise and incident myocardial infarction: a prospective cohort study.

    Directory of Open Access Journals (Sweden)

    Mette Sørensen

    Full Text Available BACKGROUND: Both road traffic noise and ambient air pollution have been associated with risk for ischemic heart disease, but only few inconsistent studies include both exposures. METHODS: In a population-based cohort of 57 053 people aged 50 to 64 years at enrolment in 1993-1997, we identified 1600 cases of first-ever MI between enrolment and 2006. The mean follow-up time was 9.8 years. Exposure to road traffic noise and air pollution from 1988 to 2006 was estimated for all cohort members from residential address history. Associations between exposure to road traffic noise and incident MI were analysed in a Cox regression model with adjustment for air pollution (NO(x and other potential confounders: age, sex, education, lifestyle confounders, railway and airport noise. RESULTS: We found that residential exposure to road traffic noise (L(den was significantly associated with MI, with an incidence rate ratio IRR of 1.12 per 10 dB for both of the two exposure windows: yearly exposure at the time of diagnosis (95% confidence interval (CI: 1.02-1.22 and 5-years time-weighted mean (95% CI: 1.02-1.23 preceding the diagnosis. Visualizing of the results using restricted cubic splines showed a linear dose-response relationship. CONCLUSIONS: Exposure to long-term residential road traffic noise was associated with a higher risk for MI, in a dose-dependent manner.

  8. Exposure to residential road traffic noise prior to conception and time to pregnancy.

    Science.gov (United States)

    Christensen, Jeppe Schultz; Raaschou-Nielsen, Ole; Ketzel, Matthias; Ramlau-Hansen, Cecilia Høst; Bech, Bodil Hammer; Olsen, Jørn; Sørensen, Mette

    2017-09-01

    To examine the association between residential road traffic noise and fecundity estimated by time to pregnancy (TTP). We identified 65,201 mothers from the Danish National Birth Cohort with self-reported information on TTP collected through computer assisted telephone interviews. Road traffic noise was modelled at all historical addresses and expressed as time-weighted means for periods corresponding to individual TTP. Associations were analyzed using logistic regression for analyses of dichotomous outcomes and ordinal logistic regression for TTP in four categories, adjusting for maternal age at conception, disposable household income, education and air pollution (NO x ). Ordinal logistic regression showed a 10dB increase in road traffic noise to be associated with a 8% increased risk of 6-12month TTP (95% CI:1.03; 1.12) whereas we found no statistically significant associations for ≥12months TTP (OR=1.04, 95% CI: 0.99; 1.09) when compared to 0-2months TTP. Similarly, when exploring TTP as a binary outcome we found a 10dB higher road traffic noise to be associated with a 5% higher risk of TTP of 6months or more (95% CI: 1.01; 1.08) as compared with Road traffic noise was associated with an increased risk of 6-12month TTP, but not with risk of longer TTP, indicating that noise may have a small impact on sub-fecundity. Copyright © 2017. Published by Elsevier Ltd.

  9. Automatic road traffic safety management system in urban areas

    Directory of Open Access Journals (Sweden)

    Oskarbski Jacek

    2017-01-01

    Full Text Available Traffic incidents and accidents contribute to decreasing levels of transport system reliability and safety. Traffic management and emergency systems on the road, using, among others, automatic detection, video surveillance, communication technologies and institutional solutions improve the organization of the work of various departments involved in traffic and safety management. Automation of incident management helps to reduce the time of a rescue operation as well as of the normalization of the flow of traffic after completion of a rescue operation, which also affects the reduction of the risk of secondary accidents and contributes to reducing their severity. The paper presents the possibility of including city traffic departments in the process of incident management. The results of research on the automatic incident detection in cities are also presented.

  10. Application of Internet in Road Traffic Engineering

    Directory of Open Access Journals (Sweden)

    Ivan Dadić

    2012-10-01

    Full Text Available The paper deals with the implementation of Internet in trafficengineering with the purpose of improving the professionaland scientific research development of the traffic system in theRepublic of Croatia.Fast growth of the world computer network, Internet, andits applications in almost all the fields of human activities,change the picture of the modern world. The current exchangeof data in all their forms and the daily growth of the network,supplemented by almost incredible amounts of data that can bealmost instantly accessible, indicates that Internet is not just theinfomwtion technology revolution, but that it is a revolutionper se. More than 100 million computers are estimated to benetworked beginning of the 21" century.Internet seems almost as if it were created for the purposesof knowledge and expe1ience exchange in traffic, a relativelyyoung scientific branch. 11 can be concluded that the presenceof traffic engineers in Internet is today's reality and tomon·ow'snecessity.

  11. Incidence of road traffic accidents and pattern of injury among ...

    African Journals Online (AJOL)

    Background and Objective: Motorcyclists are at high risk of road traffic accidents and the attendant injuries, but few community-based studies have investigated the problem in Nigeria. Therefore, this study was conducted to determine the incidence of accidents and patterns of non-fatal injury among commercial motorcyclists ...

  12. Review of road traffic accident admissions in a Nigerian tertiary ...

    African Journals Online (AJOL)

    Background: Road traffic accident remains a leading cause of trauma and admissions to the accidents and emergency units of most hospitals. The aim of this study was to determine the pattern and epidemiological characteristics of trauma admissions to the Obafemi Awolowo University Teaching Hospital. Methods: This ...

  13. Causes of road traffic accidents in Juba | Cham | South Sudan ...

    African Journals Online (AJOL)

    Drivers of private vehicles caused most accidents (37%). Most drivers (46%) were aged 20-30 years. RTAs occurred most often on city roads (89.83%). Conclusion: This leads us to conclude that a comprehensive safety system is needed that are premised on the idea of community-based awareness of traffic rules and safety ...

  14. Predicting Posttraumatic Stress Symptoms in Children after Road Traffic Accidents

    Science.gov (United States)

    Landolt, Markus A.; Vollrath, Margarete; Timm, Karin; Gnehm, Hanspeter E.; Sennhauser, Felix H.

    2005-01-01

    Objective: To prospectively assess the prevalence, course, and predictors of posttraumatic stress symptoms (PTSSs) in children after road traffic accidents (RTAs). Method: Sixty-eight children (6.5-14.5 years old) were interviewed 4-6 weeks and 12 months after an RTA with the Child PTSD Reaction Index (response rate 58.6%). Their mothers (n = 60)…

  15. Prevalence and determinants of road traffic injuries in Ethiopia ...

    African Journals Online (AJOL)

    Prevalence and determinants of road traffic injuries in Ethiopia: Based on the 2015 STEPS survey findings. Mussie Gebremichael, Mulugeta Guta, Mola Gedefaw, Alemayehu Bekele, Fassil Shiferaw, Terefe Gelibo, Theodros Getachew, Kissi Mudie, Kassahun Amenu, Atkure Defar, Habtamu Teklie, Tefera Taddele, Girum ...

  16. How traffic law enforcement can contribute to safer roads.

    NARCIS (Netherlands)

    Adminaite, D. Jost, G. Stipdonk, H. & Ward, H.

    2016-01-01

    Exceeding speed limits, drink or distracted driving and failure to wear a seat belt are still the leading causes of death and serious injury on European roads. Despite legislation designed to prevent all four, many drivers involved in fatal traffic collisions clearly failed to comply with one or

  17. Road traffic injuries in Kenya: a survey of commercial motorcycle ...

    African Journals Online (AJOL)

    Introduction: Motorcycle injuries contribute a substantial number of deaths and hospital admissions in Kenya. There is paucity of data to inform prevention strategies to address the issue. Therefore, the current study sought to explore the characteristics of 2 and 3-wheeler related road traffic injuries (RTIs) in Kenya. Methods: ...

  18. Psychoactive substance and road traffic accident among commercial ...

    African Journals Online (AJOL)

    One hundred and sixty seven commercial passenger drivers in Sokoto metropolis were assessed for family support, psychoactive substance use and road traffic accident in this self report study using family support subscale of multidimensional scale of perceived social support (MSPSS). Data obtained was analyzed using ...

  19. Patterns of Injuries After Road Traffic Crashes Involving Bodabodas

    African Journals Online (AJOL)

    2010-01-12

    Jan 12, 2010 ... Globally, trauma resulting from road traffic crashes is a major cause of death and disability with majority occur- ... Bodabodas are a major form of transport in the city of. Kampala and in other towns in East Africa. .... Injury Control Injury Surveillance Reports (2000 – 2003). Injury Control Centre, Kampala. 4.

  20. Pregnancy outcome in women involved in road traffic accidents

    African Journals Online (AJOL)

    bbshehu

    admitted because of major injuries sustained after road traffic accidents. 12 of these women were pregnant at the time of the accident and constituted the subject for analysis. Maternal age ranged from 17 to 36 years. 7 of the women fell from motorcycle, 4 patients were passengers in motor cars/buses while one pregnant.

  1. Epidemology of soft tissue injuries in road traffic accidents | Emedike ...

    African Journals Online (AJOL)

    A two year study of soft tissue injuries from road traffic accidents was undertaken at the Ebonyi State University Teaching Hospital. Males out-numbered females by a ratio of 2.5 to 1, the commonest types of injuries encountered were lacerations, contusions and abrasions, and the head and neck, the lower and upper ...

  2. Patterns of Injuries After Road Traffic Crashes Involving Bodabodas

    African Journals Online (AJOL)

    2010-01-12

    Jan 12, 2010 ... Road traffic crashes generally affect young people and this is most evident in bodaboda crashes because .... ing concussions were classified as head injuries. Injuries involving the thorax including rib fractures ... ers and passengers bear the brunt of the impact (4). About one fourth of the injured had cranial ...

  3. Depression and posttraumatic stress disorder among road traffic ...

    African Journals Online (AJOL)

    Background: Psychological responses to traumatic events vary widely across different cultures but studies in the developing countries are scant. The objective of this study is to determine prevalence of depression and posttraumatic stress disorder (PTSD) among patients involved in road traffic accident (RTA) compared with ...

  4. Management of severe pelvic injury following road traffic accident in ...

    African Journals Online (AJOL)

    A 34 year old woman involved in road traffic accident with severe anterior and posterior pelvic fractures with associated soft tissue injury was referred from Wa Regional Hospital 18 hours after the accident to Tania Specialist Hospital in Tamale. Emergency resuscitative measures such as catheterization and management of ...

  5. Towards Reducing the Dangers Associated with Road Traffic ...

    African Journals Online (AJOL)

    USER

    2018-04-25

    Apr 25, 2018 ... An estimated 1.25 million lives are lost through road traffic accidents annually. By 2030, .... The analyses include cross-tabulations to show variations in seat belt use according to vehicle classification, gender, age, level of education, survey location as well as trip periods. ... senior high school level (SHS).

  6. Depression and posttraumatic stress disorder among road traffic ...

    African Journals Online (AJOL)

    2015-11-10

    Nov 10, 2015 ... Background: Psychological responses to traumatic events vary widely across different cultures but studies in the developing countries are scant. The objective of this study is to determine prevalence of depression and posttraumatic stress disorder (PTSD) among patients involved in road traffic accident ...

  7. Patterns of Road Traffic Injuries and Associated Factors among ...

    African Journals Online (AJOL)

    A study was conducted to describe the pattern of road traffic injuries and associated factors among schoolaged children attending public hospitals in Dar es Salaam, Tanzania, between May and October 1999. The study included all children younger than 18 years, and data were collected using a structured interview guide.

  8. Epidemiology of road traffic crashes among long distance drivers in ...

    African Journals Online (AJOL)

    Background: Road Traffic Crashes (RTCs) are major causes of morbidity and mortality in Nigeria. Few studies in Ibadan have focused on the distribution and determinants of RTC among long distance drivers. Objective: To describe the distribution of crashes by place, times of occurrence, characteristics of persons involved ...

  9. Patterns of Injuries After Road Traffic Crashes Involving Bodabodas ...

    African Journals Online (AJOL)

    Background Trauma is a leading cause of morbidity and mortality in Africa. Bodabodas are a main form of transport in Kampala and are becoming a major cause of road traffic crashes. We examined the pattern of injuries attributed to bodabodas. Patients and Methods We retrospectively reviewed the charts of all trauma ...

  10. Epidemiology of road traffic accidents in Owerri, Imo state, south ...

    African Journals Online (AJOL)

    Simple statistical terms like mean, median, were used to analyze the result. Results: Out of the 195 cases of road traffic accidents, 140(71.8%) were males. The highest proportion of cases occurred in the age group 20-29 years with a mean age occurrence of 39.7+17.1 years. The highest occurrence was recorded on ...

  11. Relationship between use of mobile phone and road traffic accident ...

    African Journals Online (AJOL)

    Objective: Car telephone use has increased against the background of rapid escalation in general mobile phone services and use. The study was designed to determine the relationship between the use of mobile phone while driving and the incidence of road traffic accident amongst motorists in Zaria. Method: The study ...

  12. Fatal road traffic accidents in Mauritius (2006 – 2011) – A ...

    African Journals Online (AJOL)

    Road traffic accidents are becoming alarming in Mauritius and the present study was carried out to analyze the trends of fatal road traffic accidents in Mauritius from January 2006 to December 2011. The data was reviewed from the records of Traffic Management and Road Safety Unit, and the Ministry of Public Infrastructure, ...

  13. Traffic Signal Synchronization in the Saturated High-Density Grid Road Network

    Directory of Open Access Journals (Sweden)

    Xiaojian Hu

    2015-01-01

    Full Text Available Most existing traffic signal synchronization strategies do not perform well in the saturated high-density grid road network (HGRN. Traffic congestion often occurs in the saturated HGRN, and the mobility of the network is difficult to restore. In order to alleviate traffic congestion and to improve traffic efficiency in the network, the study proposes a regional traffic signal synchronization strategy, named the long green and long red (LGLR traffic signal synchronization strategy. The essence of the strategy is to control the formation and dissipation of queues and to maximize the efficiency of traffic flows at signalized intersections in the saturated HGRN. With this strategy, the same signal control timing plan is used at all signalized intersections in the HGRN, and the straight phase of the control timing plan has a long green time and a long red time. Therefore, continuous traffic flows can be maintained when vehicles travel, and traffic congestion can be alleviated when vehicles stop. Using the strategy, the LGLR traffic signal synchronization model is developed, with the objective of minimizing the number of stops. Finally, the simulation is executed to analyze the performance of the model by comparing it to other models, and the superiority of the LGLR model is evident in terms of delay, number of stops, queue length, and overall performance in the saturated HGRN.

  14. Traffic Signal Synchronization in the Saturated High-Density Grid Road Network

    Science.gov (United States)

    Hu, Xiaojian; Lu, Jian; Wang, Wei; Zhirui, Ye

    2015-01-01

    Most existing traffic signal synchronization strategies do not perform well in the saturated high-density grid road network (HGRN). Traffic congestion often occurs in the saturated HGRN, and the mobility of the network is difficult to restore. In order to alleviate traffic congestion and to improve traffic efficiency in the network, the study proposes a regional traffic signal synchronization strategy, named the long green and long red (LGLR) traffic signal synchronization strategy. The essence of the strategy is to control the formation and dissipation of queues and to maximize the efficiency of traffic flows at signalized intersections in the saturated HGRN. With this strategy, the same signal control timing plan is used at all signalized intersections in the HGRN, and the straight phase of the control timing plan has a long green time and a long red time. Therefore, continuous traffic flows can be maintained when vehicles travel, and traffic congestion can be alleviated when vehicles stop. Using the strategy, the LGLR traffic signal synchronization model is developed, with the objective of minimizing the number of stops. Finally, the simulation is executed to analyze the performance of the model by comparing it to other models, and the superiority of the LGLR model is evident in terms of delay, number of stops, queue length, and overall performance in the saturated HGRN. PMID:25663835

  15. Road traffic safety in conjunction with in-vehicle ITS

    Directory of Open Access Journals (Sweden)

    Darja TOPOLŠEK

    2014-06-01

    Full Text Available Interest in Intelligent Transportation Systems comes from the problems caused by traffic congestion, road accidents and air pollution. Traffic congestion continues to grow worldwide as a result of increased motorization, population growth, changes in population density and urbanization. Interest in ITS can also be attributed to reducing road accidents and increasing traffic safety. The most common causes for road accidents are excessive speed, inattentive driving and ignorance of the right-of-way rules. To eliminate these causes, experience, knowledge of traffic regulations and a new car are not enough – vehicle safety systems have to take part as well. Therefore, the European Union issued a directive on the installation of intelligent systems, whose functions are active support during driving, warning the driver in dangerous situations and alerting passengers of the car in case of irregularities in motor function or actions carried out by the driver that may cause danger, such as swerving while falling asleep. These systems help drivers to avoid accidents, and in the event of a collision, an emergency call is automatically made. Furthermore, they can be used to regulate traffic patterns or to reduce engine performance, which would reduce pollution. With these benefits in mind, the EU has indicated to the automotive industry that installation of these new Intelligent Transportation Systems should be mandatory in their new vehicles.

  16. Land use regression models for estimating individual NOx and NO₂ exposures in a metropolis with a high density of traffic roads and population.

    Science.gov (United States)

    Lee, Jui-Huan; Wu, Chang-Fu; Hoek, Gerard; de Hoogh, Kees; Beelen, Rob; Brunekreef, Bert; Chan, Chang-Chuan

    2014-02-15

    This study is conducted to characterize the intra-urban distribution of NOx and NO2; develop land use regression (LUR) models to assess outdoor NOx and NO2 concentrations, using the ESCAPE modeling approach with locally specific land use data; and compare NOx and NO2 exposures for children in the Taipei Metropolis by the LUR models, the nearest monitoring station, and kriging methods based on data collected at the measurement sites. NOx and NO2 were measured for 2 weeks during 3 seasons at 40 sampling sites by Ogawa passive badges to represent their concentrations at urban backgrounds and streets from October 2009 to September 2010. Land use data and traffic-related information in different buffer zones were combined with measured concentrations to derive LUR models using supervised forward stepwise multiple regressions. The annual average concentrations of NOx and NO2 in Taipei were 72.4 ± 22.5 and 48.9 ± 12.2 μg/m(3), respectively, which were at the high end of all 36 European areas in the ESCAPE project. Spatial contrasts in Taipei were lower than those of the European areas in the ESCAPE project. The NOx LUR model included 6 land use variables, which were lengths of major roads within 25 m, 25-50 m, and 50-500 m, urban green areas within 300 m and 300-5,000 m, and semi-natural and forested areas within 500 m, with R(2)=0.81. The NO2 LUR model included 4 land use variables, which were lengths of major roads within 25 m, urban green areas within 100 m, semi-natural and forested areas within 500 m, and low-density residential area within 500 m, with R(2)=0.74. The LUR models gave a wider variation in estimating NOx and NO2 exposures than either the ordinary kriging method or the nearest measurement site did for the children of Taiwan Birth Cohort Study (TBCS) in Taipei. Copyright © 2013. Published by Elsevier B.V.

  17. Overtaking as Indicator of Road Traffic Conditions

    Directory of Open Access Journals (Sweden)

    Dražen Topolnik

    2012-10-01

    Full Text Available Overtaking is presemed as one of the indicators of roadtraffic flow. The possibility of overtaking depends on the existenceof an intetval in the opposing traffic flow sufficient to performovertaking. It also analyses the probability of overtakingby applying adequate equations and graphical presentations

  18. Factors affecting road traffic accidents in benghazi, libya.

    Science.gov (United States)

    Al-Ghaweel, Ibrahim; Mursi, Saleh A; Jack, Joel P; Joel, Irene

    2009-01-01

    The aim of the study was to evaluate the factors responsible for road traffic accidents in Benghazi. Retrospective and descriptive studies were done in the years 2006-2007. The data was collected from Traffic and License Department, Benghazi. The data were analyzed, based on fatalities, the severely handicapped, hit and run victims and were correlated with age, sex, time, environmental factors, type of roads, etc. One-Thousand-Two-Hundred-Sixty-Five accidents occurred between the years 2006-2007 within the Benghazi city limits; 11.14% of the injuries were fatal; 67.35% of the victims had severe injuries and 21.51% escaped with minor injuries. Table 1 shows that 73.04% lost their lives within the city limits, 13.47% on the fly-over, and 2.12% on minor roads connected to main roads within the city limits. The mean of the accidents and its standard deviation were 16.66± 25.67 with a variance of fatality of 1.54. It is concluded from the studies that major road traffic accidents occur because of environmental stress factors. In addition, fatalities and the seriousness of the accidents depend on a number of factors such as the age of the vehicle, safety measures, human error and time and place of accident.

  19. Stress and Auditory Responses of the Otophysan Fish, Cyprinella venusta, to Road Traffic Noise.

    Science.gov (United States)

    Crovo, Jenna A; Mendonça, Mary T; Holt, Daniel E; Johnston, Carol E

    2015-01-01

    Noise pollution from anthropogenic sources is an increasingly problematic challenge faced by many taxa, including fishes. Recent studies demonstrate that road traffic noise propagates effectively from bridge crossings into surrounding freshwater ecosystems; yet, its effect on the stress response and auditory function of freshwater stream fishes is unexamined. The blacktail shiner (Cyprinella venusta) was used as a model to investigate the degree to which traffic noise impacts stress and hearing in exposed fishes. Fish were exposed to an underwater recording of traffic noise played at approximately 140 dB re 1 μPa. Waterborne cortisol samples were collected and quantified using enzyme immunoassay (EIA). Auditory thresholds were assessed in control and traffic exposed groups by measuring auditory evoked potentials (AEPs). After acute exposure to traffic noise, fish exhibited a significant elevation in cortisol levels. Individuals exposed to 2 hours of traffic noise playback had elevated hearing thresholds at 300 and 400 Hz, corresponding to the most sensitive bandwidth for this species.

  20. Estimating Urban Traffic Patterns through Probabilistic Interconnectivity of Road Network Junctions.

    Directory of Open Access Journals (Sweden)

    Ed Manley

    Full Text Available The emergence of large, fine-grained mobility datasets offers significant opportunities for the development and application of new methodologies for transportation analysis. In this paper, the link between routing behaviour and traffic patterns in urban areas is examined, introducing a method to derive estimates of traffic patterns from a large collection of fine-grained routing data. Using this dataset, the interconnectivity between road network junctions is extracted in the form of a Markov chain. This representation encodes the probability of the successive usage of adjacent road junctions, encoding routes as flows between decision points rather than flows along road segments. This network of functional interactions is then integrated within a modified Markov chain Monte Carlo (MCMC framework, adapted for the estimation of urban traffic patterns. As part of this approach, the data-derived links between major junctions influence the movement of directed random walks executed across the network to model origin-destination journeys. The simulation process yields estimates of traffic distribution across the road network. The paper presents an implementation of the modified MCMC approach for London, United Kingdom, building an MCMC model based on a dataset of nearly 700000 minicab routes. Validation of the approach clarifies how each element of the MCMC framework contributes to junction prediction performance, and finds promising results in relation to the estimation of junction choice and minicab traffic distribution. The paper concludes by summarising the potential for the development and extension of this approach to the wider urban modelling domain.

  1. Road Traffic Accidents - The Number One Killer in Libya

    Directory of Open Access Journals (Sweden)

    Abdulmajid Ahmed Ali

    2007-01-01

    Full Text Available To The Editor: It is estimated that 1.26 million people worldwide died in 2000 from road traffic accidents, 90% of them in low and middle-income countries. In 2000, the road traffic injury mortality rate for the world was 20.8 per 100,000 populations (30.8 in males, 11.0 in females [1].The Arab population constitutes 3.6% of the world’s population and it owns 1% of the world’s vehicles. Its human losses as a result of road traffic accidents (RTA account for 4.8% of that of the world’s losses [2]. It is estimated that the annual cost of road crashes is about 1% of the Gross National Product (GNP in developing countries, 1.5 in transitional countries and 2% in highly motorised countries [3].In Libya the situation is worse. It is a sad fact that road traffic accidents are the number one killer in Libya. As a matter of fact I consider it to be an ‘epidemic’ in all sectors of the Libyan society. There is not a day that goes by in Libya without us hearing about families, young men, women and children getting killed in horrific car accidents.It is alarming that young children are knocked down on a daily basis by speeding young drivers, whose understanding of driving skills may have been acquired from "playstation games"! (You can watch some of the shameful video clips sent by some of these drivers on this link http://www.youtube.com/watch?v=doWEDjiHlVoI feel it is our responsibility as physicians observing the situation to raise awareness about the scale of the problem, possible causes, and how to tackle it. POSSIBLE CAUSES:• A driving licence in Libya is not issued on the basis of how much you know. Therefore the majority of drivers know little or nothing about the law.• Wearing seat belts is not compulsory in most parts of Libya. In some places, especially in the Eastern part of Libya, you could be penalised for wearing one. I was stopped many years ago by the traffic police in the Eastern part of Libya because I was wearing sunglasses

  2. Road Traffic Noise Pollution Analysis for Cernavoda City

    Science.gov (United States)

    Manea, L.; Manea, A.; Florea, D.; Tarulescu, S.

    2017-10-01

    In the present paper was studied the noise pollution in Cernavodă city. The noise measurements were made for nine intersections from different city areas. Noise measurements were taken for three chosen routes with high population density, heavy traffic, commercial and residential buildings. Average, maximum and minimum values were collected and compared with standards. The impact of road traffic noise on the community depends on various factors such as road location and design, land use planning measures, building design, traffic composition, driver behaviour and the relief. In the study area 9 locations are identified to measure noise level. By using sound level meter noise levels are measured at different peak sessions i.e. morning, afternoon and evening. The presented values were collected for evening rush hour.

  3. Piezoelectric materials involved in road traffic applications test system

    International Nuclear Information System (INIS)

    Vazquez Rodriguez, M.; Jimenez Martinez, F.; Frutos, J. de

    2011-01-01

    The test bench system described in this paper performs experiments on piezoelectric materials used in road traffic applications, covering a range between 14 and 170 km/h, which is considered enough for testing under standard traffic conditions. A software has been developed to control the three phase induction motor driver and to acquire all the measurement data of the piezoelectric materials. The mass over each systems axis can be selected, with a limit of 60 kg over each wheel. The test bench is used to simulate the real behaviour of buried piezoelectric cables in road traffic applications for both light and heavy vehicles. This new test bed system is a powerful research tool and can be applied to determine the optimal installation and configuration of the piezoelectric cable sensors and opens a new field of research: the study of energy harvesting techniques based on piezoelectric materials. (Author) 10 refs.

  4. Disability related to road traffic crashes among adults in Spain.

    Science.gov (United States)

    Palmera-Suárez, Rocío; López-Cuadrado, Teresa; Almazán-Isla, Javier; Fernández-Cuenca, Rafael; Alcalde-Cabero, Enrique; Galán, Iñaki

    2015-09-01

    Road traffic accidents cause substantial morbidity and disease burden; few studies have examined their impact on disability. To estimate the magnitude and distribution of disability due to road traffic accidents according to socio-demographic variables, and its main socioeconomic and health determinants. A cross-sectional study was conducted in community-dwelling participants in the "2008 Spanish National Disability Survey", a representative sample of 91,846 households with 20,425 disabled persons older than 15 years; 443 had disability due to road traffic accidents. The prevalence was 2.1 per 1000 inhabitants (95% CI:1.8-2.3), with no differences by sex. Risk was highest among persons aged 31 to 64 years, and onset of disability showed a sharp inflection point at age 16 years in both sexes. Odds ratios (ORs) were higher (OR=1.3; 95% CI:1.1- 1.7) for participants with secondary education than for those with the lowest educational levels and were lower (OR: 0.5; 95% CI:0.3-0.8) for participants with the highest household income levels than for those with lowest. Only 24% of disabled participants were gainfully employed. As compared to other sources of disability, traffic crashes caused greater disability in terms of mobility (OR=3.1;proad traffic accidents in Spain is lower than in other developed countries, with middle-aged and socio-economically underprivileged persons being the most affected. Disability due to road traffic accidents is related to a greater demand for social/health care support, problems of accessibility/commuting, and major changes in economic activity. Copyright © 2014 SESPAS. Published by Elsevier Espana. All rights reserved.

  5. Residential road traffic noise exposure and colorectal cancer survival - A Danish cohort study.

    Science.gov (United States)

    Roswall, Nina; Bidstrup, Pernille Envold; Raaschou-Nielsen, Ole; Solvang Jensen, Steen; Overvad, Kim; Halkjær, Jytte; Sørensen, Mette

    2017-01-01

    Residential traffic noise exposure may entail sleep disruption and compromised circadian functioning; two factors which have been associated with a poor colorectal cancer (CRC) prognosis. Hence, the aim of the present study was to investigate the association between residential road traffic noise and CRC survival. Road traffic noise was calculated for all residential addresses from 1987 to February 2012 for incident CRC cases (n = 1,234) in a cohort of 57,053 Danes. We used Cox Proportional Hazard Models to investigate the association between residential road traffic noise at different time-windows, and overall and CRC-specific mortality. Furthermore, we investigated interaction with sex, age, prognostic factors, and comorbidity. Mortality Rate Ratios (MRR) were calculated in unadjusted models, and adjusted for railway noise, lifestyle factors, and socioeconomic variables. During a median follow-up of 4 years, 594 patients died; 447 from CRC. We found no association between road traffic noise exposure and overall (MRR 1.00 (0.88-1.13) per 10 dB) or CRC-specific mortality (MRR 0.98 (0.85-1.13) per 10 dB) over the entire follow-up period, or 1 year preceding death. Results did not differ when examining colon and rectal cancer separately. Interaction analyses suggested that patients with less clinically advanced disease could be more susceptible to harmful effects of traffic noise. The present study suggests no overall association between residential road traffic noise and concurrent mortality in CRC patients. As it is the first study of its kind, with relatively limited power, further studies are warranted.

  6. Exposure to road traffic and railway noise and postmenopausal breast cancer: A cohort study.

    Science.gov (United States)

    Sørensen, Mette; Ketzel, Matthias; Overvad, Kim; Tjønneland, Anne; Raaschou-Nielsen, Ole

    2014-06-01

    Exposure to traffic noise may result in stress and sleep disturbances. Studies on self-reported sleep duration and breast cancer risk have found inconsistent results. In a population-based Danish cohort of 29,875 women aged 50-64 years at enrolment in 1993-1997, we identified 1219 incident, postmenopausal breast cancer cases during follow-up through 2010. Mean follow-up time was 12.3 years. Road traffic and railway noise was calculated for all present and historical residential addresses from 1987 to 2010. We used Cox proportional hazard model for analyses and adjusted for hormone replacement therapy use, parity, alcohol consumption and other potential confounders. We found no overall association between residential road traffic or railway noise and breast cancer risk. Among women with estrogen receptor negative breast cancer, a 10-dB higher level of road traffic noise (continuous scale) during the previous 1, 5 and 10 years were associated with 28% (95% CI: 1.04-1.56), 23% (95% CI: 1.00-1.51) and 20% (95% CI: 0.97-1.48) higher risks of estrogen receptor negative breast cancer, respectively, in fully adjusted models. Similarly, a 10-dB increase in railway noise (1-year mean at diagnosis address) increased risk for estrogen receptor negative breast cancer by 38% (95% CI: 1.01-1.89). There was no association between road traffic or railway noise and estrogen receptor positive breast cancer. In conclusion, these results suggest that residential road traffic and railway noise may increase risk of estrogen receptor negative breast cancer. As the first study on traffic noise and breast cancer results should be treated with caution. © 2013 UICC.

  7. MOE-Analysis for Oversaturated Flow with Interrupted Facility and Heterogeneous Traffic for Urban Roads

    Directory of Open Access Journals (Sweden)

    Hemant Kumar Sharma

    2012-09-01

    Full Text Available Speed-flow functions have been developed by several transportation experts to predict accurately the speed of urban road networks. HCM Speed-Flow Curve, BPR Curve, MTC Speed-Flow Curve, Akçelik Speed-Flow Curve are some extraordinary efforts to define the shape of speed-flow curves. However, the complexity of driver's behaviour, interactions among different type of vehicles, lateral clearance, co-relation of driver's psychology with vehicular characteristics and interdependence of various variables of traffic has led to continuous development and refinement of speed-flow curves. The problem gets more difficult in the case of urban roads with heterogeneous traffic, oversaturated flow and signalized network (which includes some unsignalized intersections as well. This paper presents analysis for various measures of effectiveness (MOE for urban roads with interrupted flow comprising heterogeneous traffic. Model has been developed for heterogeneous traffic under constraints of roadway geometry, vehicle characteristics, driving behaviour and traffic controls. The model developed in this paper predicts speed, delay, average queue and maximum queue estimates for urban roads and quantifies congestion for oversaturated conditions. The investigation details the oversaturated portion of flow in particular.

  8. Can road traffic mask sound from wind turbines? Response to wind turbine sound at different levels of road traffic sound

    International Nuclear Information System (INIS)

    Pedersen, Eja; Berg, Frits van den; Bakker, Roel; Bouma, Jelte

    2010-01-01

    Wind turbines are favoured in the switch-over to renewable energy. Suitable sites for further developments could be difficult to find as the sound emitted from the rotor blades calls for a sufficient distance to residents to avoid negative effects. The aim of this study was to explore if road traffic sound could mask wind turbine sound or, in contrast, increases annoyance due to wind turbine noise. Annoyance of road traffic and wind turbine noise was measured in the WINDFARMperception survey in the Netherlands in 2007 (n=725) and related to calculated levels of sound. The presence of road traffic sound did not in general decrease annoyance with wind turbine noise, except when levels of wind turbine sound were moderate (35-40 dB(A) Lden) and road traffic sound level exceeded that level with at least 20 dB(A). Annoyance with both noises was intercorrelated but this correlation was probably due to the influence of individual factors. Furthermore, visibility and attitude towards wind turbines were significantly related to noise annoyance of modern wind turbines. The results can be used for the selection of suitable sites, possibly favouring already noise exposed areas if wind turbine sound levels are sufficiently low.

  9. Road traffic air and noise pollution exposure assessment - A review of tools and techniques.

    Science.gov (United States)

    Khan, Jibran; Ketzel, Matthias; Kakosimos, Konstantinos; Sørensen, Mette; Jensen, Steen Solvang

    2018-04-08

    Road traffic induces air and noise pollution in urban environments having negative impacts on human health. Thus, estimating exposure to road traffic air and noise pollution (hereafter, air and noise pollution) is important in order to improve the understanding of human health outcomes in epidemiological studies. The aims of this review are (i) to summarize current practices of modelling and exposure assessment techniques for road traffic air and noise pollution (ii) to highlight the potential of existing tools and techniques for their combined exposure assessment for air and noise together with associated challenges, research gaps and priorities. The study reviews literature about air and noise pollution from urban road traffic, including other relevant characteristics such as the employed dispersion models, Geographic Information System (GIS)-based tool, spatial scale of exposure assessment, study location, sample size, type of traffic data and building geometry information. Deterministic modelling is the most frequently used assessment technique for both air and noise pollution of short-term and long-term exposure. We observed a larger variety among air pollution models as compared to the applied noise models. Correlations between air and noise pollution vary significantly (0.05-0.74) and are affected by several parameters such as traffic attributes, building attributes and meteorology etc. Buildings act as screens for the dispersion of pollution, but the reduction effect is much larger for noise than for air pollution. While, meteorology has a greater influence on air pollution levels as compared to noise, although also important for noise pollution. There is a significant potential for developing a standard tool to assess combined exposure of traffic related air and noise pollution to facilitate health related studies. GIS, due to its geographic nature, is well established and has a significant capability to simultaneously address both exposures. Copyright

  10. Road Impedance Model Study under the Control of Intersection Signal

    Directory of Open Access Journals (Sweden)

    Yunlin Luo

    2015-01-01

    Full Text Available Road traffic impedance model is a difficult and critical point in urban traffic assignment and route guidance. The paper takes a signalized intersection as the research object. On the basis of traditional traffic wave theory including the implementation of traffic wave model and the analysis of vehicles’ gathering and dissipating, the road traffic impedance model is researched by determining the basic travel time and waiting delay time. Numerical example results have proved that the proposed model in this paper has received better calculation performance compared to existing model, especially in flat hours. The values of mean absolute percentage error (MAPE and mean absolute deviation (MAD are separately reduced by 3.78% and 2.62 s. It shows that the proposed model has feasibility and availability in road traffic impedance under intersection signal.

  11. A cluster analysis on road traffic accidents using genetic algorithms

    Science.gov (United States)

    Saharan, Sabariah; Baragona, Roberto

    2017-04-01

    The analysis of traffic road accidents is increasingly important because of the accidents cost and public road safety. The availability or large data sets makes the study of factors that affect the frequency and severity accidents are viable. However, the data are often highly unbalanced and overlapped. We deal with the data set of the road traffic accidents recorded in Christchurch, New Zealand, from 2000-2009 with a total of 26440 accidents. The data is in a binary set and there are 50 factors road traffic accidents with four level of severity. We used genetic algorithm for the analysis because we are in the presence of a large unbalanced data set and standard clustering like k-means algorithm may not be suitable for the task. The genetic algorithm based on clustering for unknown K, (GCUK) has been used to identify the factors associated with accidents of different levels of severity. The results provided us with an interesting insight into the relationship between factors and accidents severity level and suggest that the two main factors that contributes to fatal accidents are "Speed greater than 60 km h" and "Did not see other people until it was too late". A comparison with the k-means algorithm and the independent component analysis is performed to validate the results.

  12. Spatial Assessment of Road Traffic Injuries in the Greater Toronto Area (GTA: Spatial Analysis Framework

    Directory of Open Access Journals (Sweden)

    Sina Tehranchi

    2017-03-01

    Full Text Available This research presents a Geographic Information Systems (GIS and spatial analysis approach based on the global spatial autocorrelation of road traffic injuries for identifying spatial patterns. A locational spatial autocorrelation was also used for identifying traffic injury at spatial level. Data for this research study were acquired from Canadian Institute for Health Information (CIHI based on 2004 and 2011. Moran’s I statistics were used to examine spatial patterns of road traffic injuries in the Greater Toronto Area (GTA. An assessment of Getis-Ord Gi* statistic was followed as to identify hot spots and cold spots within the study area. The results revealed that Peel and Durham have the highest collision rate for other motor vehicle with motor vehicle. Geographic weighted regression (GWR technique was conducted to test the relationships between the dependent variable, number of road traffic injury incidents and independent variables such as number of seniors, low education, unemployed, vulnerable groups, people smoking and drinking, urban density and average median income. The result of this model suggested that number of seniors and low education have a very strong correlation with the number of road traffic injury incidents.

  13. Space-time correlation analysis of traffic flow on road network

    Science.gov (United States)

    Su, Fei; Dong, Honghui; Jia, Limin; Tian, Zhao; Sun, Xuan

    2017-02-01

    Space-time correlation analysis has become a basic and critical work in the research on road traffic congestion. It plays an important role in improving traffic management quality. The aim of this research is to examine the space-time correlation of road networks to determine likely requirements for building a suitable space-time traffic model. In this paper, it is carried out using traffic flow data collected on Beijing’s road network. In the framework, the space-time autocorrelation function (ST-ACF) is introduced as global measure, and cross-correlation function (CCF) as local measure to reveal the change mechanism of space-time correlation. Through the use of both measures, the correlation is found to be dynamic and heterogeneous in space and time. The finding of seasonal pattern present in space-time correlation provides a theoretical assumption for traffic forecasting. Besides, combined with Simpson’s rule, the CCF is also applied to finding the critical sections in the road network, and the experiments prove that it is feasible in computability, rationality and practicality.

  14. Safety in traffic for vulnerable military road users

    Directory of Open Access Journals (Sweden)

    Aleksandar J. Bulajić

    2012-04-01

    Full Text Available The Army of Serbia, as a relatively closed system, regulates the field of traffic safety; however, during peacetime, general rules apply to all participants in traffic circulation. The Republic of Serbia is in the group of countries with a high number of road fatalities. The level of traffic safety in the Serbian Army has been on constant increase since 2000, although the relevant transport authorities in the military are not yet satisfied with the achieved level (even one lost life is too much. The increase can be deceptive, since if we take into account the substantial reduction in vehicle use due to various factors in the last few years (poor financial situation in the country as well as in the military, under-investment in the purchase of new vehicles, purchase of transportation services, fewer drivers drafted and more vehicles driven by trained officers, etc., it is not surprising that there are fewer accidents and fewer road deaths and injuries among military personnel. This paper aims at approaching the problem of pedestrian safety as a segment of road safety and at making an educational impact on all members of the military, because they all participate in traffic daily, if not as drivers or passengers, then certainly in large numbers as pedestrians. The basis of this paper is aimed at shedding light on the causes of pedestrian road fatalities due to their mistakes, i. e. 'negligence' of the participants in car accidents with the participation of pedestrians, as well as at proposing measures to reduce and prevent traffic accidents with pedestrians.

  15. Modeling the Effect of Traffic Calming on Local Animal Population Persistence

    Directory of Open Access Journals (Sweden)

    Frank van Langevelde

    2009-12-01

    Full Text Available A steady growth in traffic volumes in industrialized countries with dense human populations is expected, especially on minor roads. As a consequence, the fragmentation of wildlife populations will increase dramatically. In human-dominated landscapes, typically minor roads occur in high densities, and animals encounter them frequently. Traffic calming is a new approach to mitigate negative impacts by reducing traffic volumes and speeds on minor roads at a regional scale. This leads to a distinction between roads with low volumes as being part of the traffic-calmed area, whereas roads with bundled traffic are located around this area. Within the traffic-calmed area, volumes and speeds can be decreased substantially; this is predicted to decrease the disturbance and mortality risk for animals. Thus far, data on the effects of traffic calming on wildlife population persistence remain scarce. Using metapopulation theory, we derived a model to estimate thresholds in the size of traffic-calmed areas and traffic volumes that may allow persistent populations. Our model suggests that traffic calming largely increases the persistence of roe deer in a landscape with a dense road network. Our modeling results show trade-offs between traffic volume on roads within the traffic-calmed area and both the area of habitat available for this species in the traffic-calmed area and the size of the traffic-calmed area. These results suggest ways to mitigate the fragmentation of wildlife habitat by road networks and their expected traffic volumes.

  16. Corruption on the road: A case study of Russian traffic police

    Directory of Open Access Journals (Sweden)

    Anton Oleinik

    2016-07-01

    Full Text Available Motorists deal with traffic police officers on a daily basis. In Russia, the operations of the traffic police are not transparent. Mass surveys show that contacts with traffic police officers represent a key source of corruption in this country. This article discusses the links between corruption in the traffic police and road safety. Corruption in the traffic police has a positive impact on road safety in Russia, a middle-income country. It suppresses economic growth and thus reduces the intensity of road use. In the current situation, Russian motorists have no incentive for fighting corruption: constantly growing fines and penalties for traffic offences increase the attractiveness of paying bribes compared to individual and/or collective protests. A vicious circle emerges as a result: corruption becomes self-sustainable. The official statistical data and results of a nationally representative sociological survey provide the data for the analysis. An instrumental variables analysis and multiple regression modelling are used in this study.

  17. Real-Time Corrected Traffic Correlation Model for Traffic Flow Forecasting

    Directory of Open Access Journals (Sweden)

    Hua-pu Lu

    2015-01-01

    Full Text Available This paper focuses on the problems of short-term traffic flow forecasting. The main goal is to put forward traffic correlation model and real-time correction algorithm for traffic flow forecasting. Traffic correlation model is established based on the temporal-spatial-historical correlation characteristic of traffic big data. In order to simplify the traffic correlation model, this paper presents correction coefficients optimization algorithm. Considering multistate characteristic of traffic big data, a dynamic part is added to traffic correlation model. Real-time correction algorithm based on Fuzzy Neural Network is presented to overcome the nonlinear mapping problems. A case study based on a real-world road network in Beijing, China, is implemented to test the efficiency and applicability of the proposed modeling methods.

  18. The impact of the Thai motorcycle transition on road traffic injury: Thai Cohort Study results.

    Directory of Open Access Journals (Sweden)

    Janneke Berecki-Gisolf

    Full Text Available The aim of this study was to investigate the impact of motorcycle to car transitioning and urbanisation on traffic injury rates in Thailand.Analysis of two consecutive surveys of a large national cohort study.Thailand.The data derived from 57,154 Thai Cohort Study (TCS participants who provided relevant data on both the 2005 and 2009 surveys.Motorcycle and car traffic crash injury self-reported in 2009, with twelve months' recall.In 2009, 5608(10% participants reported a traffic crash injury. Most crashes involved a motorcycle (74%. Car access increased and motorcycle use decreased between 2005 and 2009. Among those who used a motorcycle at both time points, traffic injury incidence was 2.8 times greater compared to those who did not use a motorcycle at either time point. Multivariable logistic regression models were used to test longitudinal and cross sectional factors associated with traffic crash injury: in the adjusted model, cars were negatively and motorcycles positively associated with injury. Living in an urban area was not injury protective in the adjusted model of traffic crash injury.Ongoing urbanisation in Thailand can be expected to lead to further reductions in road traffic injuries based on transition from motorcycles to cars in urban areas. Cities, however, do not provide an intrinsically safer traffic environment. To accommodate a safe transition to car use in Thailand, traffic infrastructural changes anticipating the growing car density in urban areas is warranted.

  19. The impact of the Thai motorcycle transition on road traffic injury: Thai Cohort Study results.

    Science.gov (United States)

    Berecki-Gisolf, Janneke; Yiengprugsawan, Vasoontara; Kelly, Matthew; McClure, Roderick; Seubsman, Sam-ang; Sleigh, Adrian

    2015-01-01

    The aim of this study was to investigate the impact of motorcycle to car transitioning and urbanisation on traffic injury rates in Thailand. Analysis of two consecutive surveys of a large national cohort study. Thailand. The data derived from 57,154 Thai Cohort Study (TCS) participants who provided relevant data on both the 2005 and 2009 surveys. Motorcycle and car traffic crash injury self-reported in 2009, with twelve months' recall. In 2009, 5608(10%) participants reported a traffic crash injury. Most crashes involved a motorcycle (74%). Car access increased and motorcycle use decreased between 2005 and 2009. Among those who used a motorcycle at both time points, traffic injury incidence was 2.8 times greater compared to those who did not use a motorcycle at either time point. Multivariable logistic regression models were used to test longitudinal and cross sectional factors associated with traffic crash injury: in the adjusted model, cars were negatively and motorcycles positively associated with injury. Living in an urban area was not injury protective in the adjusted model of traffic crash injury. Ongoing urbanisation in Thailand can be expected to lead to further reductions in road traffic injuries based on transition from motorcycles to cars in urban areas. Cities, however, do not provide an intrinsically safer traffic environment. To accommodate a safe transition to car use in Thailand, traffic infrastructural changes anticipating the growing car density in urban areas is warranted.

  20. Properties of Phase Transition of Traffic Flow on Urban Expressway Systems with Ramps and Accessory Roads

    International Nuclear Information System (INIS)

    Mei Chaoqun; Liu Yejin

    2011-01-01

    In this paper, we develop a cellular automaton model to describe the phase transition of traffic flow on urban expressway systems with on-off-ramps and accessory roads. The lane changing rules are given in detailed, the numerical results show that the main road and the accessory road both produce phase transitions. These phase transitions will often be influenced by the number of lanes, lane changing, the ramp flow, the input flow rate, and the geometry structure. (interdisciplinary physics and related areas of science and technology)

  1. Impact of road traffic accidents on the elderly.

    Science.gov (United States)

    Etehad, H; Yousefzadeh-Chabok, Sh; Davoudi-Kiakalaye, A; Moghadam Dehnadi, A; Hemati, H; Mohtasham-Amiri, Z

    2015-01-01

    Older adults are a vulnerable road user group with high mortality and morbidity in road crash. The aim of this study was to show pattern of road traffic injuries in this special aging group. In a cross sectional study, pre-hospital emergency system reports, hospital and police records of all motor vehicle collisions injured above 60 years old who were admitted to Pour-Sina hospital from April 2011 to March 2012 were studied. Demographic data, characteristic of road traffic incidents and in-hospital medical profiles were derived. Data were analyzed with SPSS ver. 18. Differences between demographic and injuries situation were calculated by chi square test. A p-value of road accident injured. Mean age of them was 70.9 ± 6.7 years. Most of them were male (74.7%). 40.5% were pedestrians, 22.1% were car occupants and 19.1% were motorcyclists.76.7% had multiple trauma. Head and neck were the most prevalent regions of injured. Total in-hospital mortality rate was 10.1% that was higher in old elderly pedestrians and motorcyclists in comparison to young elderly (16.1% vs. 7.9%) and other type of victims (ρroad accident injured. Mean age of them was 70.9 ± 6.7 years. Most of them were male (74.7%). 40.5% were pedestrians, 22.1% were car occupants and 19.1% were motorcyclists.76.7% had multiple trauma. Head and neck were the most prevalent regions of injured. Total in-hospital mortality rate was 10.1% that was higher in old elderly pedestrians and motorcyclists in comparison to young elderly (16.1% vs. 7.9%) and other type of victims (ρroad traffic injuries in this group especially in pedestrians should be taken into consideration and strategies aimed at the road-user safety including periodic medical examination and improvement of road structure and facilities. Copyright © 2015. Published by Elsevier Ireland Ltd.

  2. The Economic Burden of Road Traffic Injuries on Households in South Asia.

    Science.gov (United States)

    Alam, Khurshid; Mahal, Ajay

    2016-01-01

    Globally, road traffic injuries accounted for about 1.36 million deaths in 2015 and are projected to become the fourth leading cause of disability-adjusted life years (DALYs) lost by 2030. One-fifth of these deaths occurred in South Asia where road traffic injuries are projected to increase by 144% by 2020. Despite this rapidly increasing disease burden there is limited evidence on the economic burden of road traffic injuries on households in South Asia. We applied a novel coarsened exact matching method to assess the household economic burden of road traffic injuries using nationally representative World Health Survey data from five South Asian countries- Bangladesh, India, Nepal, Pakistan and Sri Lanka collected during 2002-2003. We examined the impact of road traffic injuries on household out-of-pocket (OOP) health spending, household non-medical consumption expenditure and the employment status of the traffic injury-affected respondent. We exactly matched a household (after 'coarsening') where a respondent reported being involved in a road traffic injury to households where the respondent did not report a road traffic injury on each of multiple observed household characteristics. Our analysis found that road traffic injury-affected households had significantly higher levels of OOP health spending per member (I$0.75, proad traffic injury-affected households: 6.45% (proad traffic injury-affected individual. Our analysis points to the need for financial risk protection against the road traffic injury-related OOP health expenditure and a focus on prevention.

  3. Road Traffic Injury in Lagos, Nigeria: Assessing Prehospital Care.

    Science.gov (United States)

    Ibrahim, Nasiru A; Ajani, Abdul Wahab O; Mustafa, Ibrahim A; Balogun, Rufai A; Oludara, Mobolaji A; Idowu, Olufemi E; Solagberu, Babatunde A

    2017-08-01

    Introduction Injuries are the third most important cause of overall deaths globally with one-quarter resulting from road traffic crashes. Majority of these deaths occur before arrival in the hospital and can be reduced with prompt and efficient prehospital care. The aim of this study was to highlight the burden of road traffic injury (RTI) in Lagos, Nigeria and assess the effectiveness of prehospital care, especially the role of Lagos State Ambulance Service (LASAMBUS) in providing initial care and transportation of the injured to the hospital. A three-year, retrospective review of road traffic injured patients seen at the Surgical Emergency Room (SER) of the Lagos State University Teaching Hospital (LASUTH), Ikeja, Nigeria, from January 1, 2012 to December 31, 2014 was conducted. Parameters extracted from the Institution Trauma Registry included bio-data, date and time of injury, date and time of arrival in SER, host status, type of vehicle involved, and region(s) injured. Information on how patients came to the hospital and outcome in SER also were recorded. Results were analyzed using Statistical Package for Social Sciences (SPSS; IBM Corporation; Armonk, New York USA) version 16. A total of 23,537 patients were seen during the study period. Among them, 16,024 (68.1%) had trauma. Road traffic crashes were responsible in 5,629 (35.0%) of trauma cases. Passengers constituted 42.0% of the injured, followed by pedestrians (34.0%). Four wheelers were the most frequent vehicle type involved (54.0%), followed by motor cycles (30.0%). Regions mainly affected were head and neck (40.0%) and lower limb (29.0%). Less than one-quarter (24.0%) presented to the emergency room within an hour, while one-third arrived between one and six hours following injury. Relatives brought 55.4%, followed by bystanders (21.4%). Only 2.3% had formal prehospital care and were brought to the hospital by LASAMBUS. They also had significantly shorter arrival time. One hundred and nine patients

  4. Perceptions of risk factors for road traffic accidents

    OpenAIRE

    Smith, Andrew; Smith, Hugo

    2017-01-01

    Research has identified a number of risk factors for road traffic accidents. Some of these require education of drivers and a first step in this process is to assess perceptions of these risk factors to determine the current level of awareness. An online survey examined risk perception with the focus being on driver behavior, risk taking and fatigue. The results showed that drivers’ perceptions of the risk from being fatigued was lower than the perceived risk from the other factors.

  5. Neurological Outcome in Road Traffic Accidents with Spinal Cord Injury

    OpenAIRE

    Moslavac, Saša; Džidić, Ivan; Kejla, Zvonko

    2008-01-01

    The aim of the study was to investigate neurological outcome in road traffic accidents (RTA) with spinal cord injury (SCI). The study was undertaken in National Spinal Unit of Special Medical Rehabilitation Hospital, in Vara`dinske Toplice, Croatia. Hospital records of 154 inpatient RTA SCI patients, in years 1991–2001 were reviewed. Six groups of patients were formed: car drivers, co-drivers, back seat passengers, motorcycle drivers, bicycle drivers and pedestrians. Neurological ...

  6. HOMICIDE BY A ROAD TRAFFIC ACCIDENT : A CASE REPORT

    Directory of Open Access Journals (Sweden)

    Yandra

    2015-04-01

    Full Text Available Deaths from road traffic accidents need a meticulous autopsy examination and a proper interpretation of injuries, as they can be a source of potential homicide among them. We report a case of homicide which was brought as a death in a ‘hit and run’ case to our mortuary. After our post mortem examination and issuing of our report, the investigative authorities were able to nab the actual culprit involved in the murder.

  7. Bilateral Carotid Artery Dissection after High Impact Road Traffic Accident

    OpenAIRE

    Michael Kelly; Marcus Bradley; Ankur Srivastava

    2008-01-01

    A 58 year old man was involved in a high impact road traffic incident and was admitted for observation. Asymptomatic for the first 24 hours, he collapsed with symptoms and signs consistent with a cerebrovascular accident. Computed tomography angiogram (CTA) and Magnetic resonance angiogram (MRA) demonstrated bilateral internal carotid artery dissections and a left middle cerebral artery infarct. It was not considered appropriate to attempt stenting or other revascularistation. The patient was...

  8. Determinants of road traffic safety: New evidence from Australia using state-space analysis.

    Science.gov (United States)

    Nghiem, Son; Commandeur, Jacques J F; Connelly, Luke B

    2016-09-01

    This paper examines the determinants of road traffic crash fatalities in Queensland for the period 1958-2007 using a state-space time-series model. In particular, we investigate the effects of policies that aimed to reduce drink-driving on traffic fatalities, as well as indicators of the economic environment that may affect exposure to traffic, and hence affect the number of accidents and fatalities. The results show that the introduction of a random breath testing program in 1988 was associated with a 11.3% reduction in traffic fatalities; its expansion in 1998 was associated with a 26.2% reduction in traffic fatalities; and the effect of the "Safe4life" program, which was introduced in 2004, was a 14.3% reduction in traffic fatalities. Reductions in economic activity are also associated with reductions in road fatalities: we estimate that a one percent increase in the unemployment rate is associated with a 0.2% reduction in traffic fatalities. Copyright © 2016 Elsevier Ltd. All rights reserved.

  9. Road Artery Traffic Light Optimization with Use of the Reinforcement Learning

    Directory of Open Access Journals (Sweden)

    Rok Marsetič

    2014-04-01

    Full Text Available The basic principle of optimal traffic control is the appropriate real-time response to dynamic traffic flow changes. Signal plan efficiency depends on a large number of input parameters. An actuated signal system can adjust very well to traffic conditions, but cannot fully adjust to stochastic traffic volume oscillation. Due to the complexity of the problem analytical methods are not applicable for use in real time, therefore the purpose of this paper is to introduce heuristic method suitable for traffic light optimization in real time. With the evolution of artificial intelligence new possibilities for solving complex problems have been introduced. The goal of this paper is to demonstrate that the use of the Q learning algorithm for traffic lights optimization is suitable. The Q learning algorithm was verified on a road artery with three intersections. For estimation of the effectiveness and efficiency of the proposed algorithm comparison with an actuated signal plan was carried out. The results (average delay per vehicle and the number of vehicles that left road network show that Q learning algorithm outperforms the actuated signal controllers. The proposed algorithm converges to the minimal delay per vehicle regardless of the stochastic nature of traffic. In this research the impact of the model parameters (learning rate, exploration rate, influence of communication between agents and reward type on algorithm effectiveness were analysed as well.

  10. Under-reporting of road traffic crash data in Ghana.

    Science.gov (United States)

    Salifu, Mohammed; Ackaah, Williams

    2012-01-01

    Having reliable estimates of the shortfalls in road traffic crash data is an important prerequisite for setting more realistic targets for crash/casualty reduction programmes and for a better appreciation of the socio-economic significance of road traffic crashes. This study was carried out to establish realistic estimates of the overall shortfall (under-reporting) in the official crash statistics in Ghana over an eight-year period (1997-2004). Surveys were conducted at hospitals and among drivers to generate relevant alternative data which were then matched against records in police crash data files and the official database. Overall shortfalls came from two sources, namely, 'non-reporting' and 'under-recording'. The results show that the level of non-reporting varied significantly with the severity of the crash from about 57% for property damage crashes through 8% for serious injury crashes to 0% for fatal crashes. Crashes involving cyclists and motorcyclists were also substantially non-reported. Under-recording on the other hand declined significantly over the period from an average of 37% in 1997-1998 to 27% in 2003-2004. Thus, the official statistics of road traffic crashes in Ghana are subject to significant shortfalls that need to be accounted for. Correction factors have therefore been suggested for adjusting the official data.

  11. Valuation of the impacts from road traffic fuels

    Energy Technology Data Exchange (ETDEWEB)

    Otterstroem, T. [Ekono Energy Ltd, Espoo (Finland)

    1995-12-31

    Energy Ltd. participated in 1993 in the MOBILE research programme of the Ministry of Trade and Industry (MTI) by carrying out the project `Valuation of the impacts of road traffic fuels emissions`. The project was financed by the MTI, Ekono Energy Ltd and Neste Oy. The aim of the project was to assess the external costs of Finnish road traffic, which are incurred by the environmental effects of fuel related emissions (motor petrol and diesel fuel). To this end, the survey studied the environmental impacts of emissions on people and the environment locally, nationally and globally. The main target was to develop a method for calculating the economic value of these effects. The method has been applied to road traffic emissions in 1990 and emission forecasts for 2000. The valuation calculations made should be regarded as indicative examples. The article presents a possible way of assessing the cost of effects. This kind of review indicates the cost of impacts compared with the cost of reducing emissions. It also indicates the way in which environmental taxes could be developed and reveals those impacts which should be researched and the impacts and emissions components the restricting of which should be enhanced. (author)

  12. Corruption on the road: A case study of Russian traffic police

    OpenAIRE

    Oleinik, Anton

    2016-01-01

    Motorists deal with traffic police officers on a daily basis. In Russia, the operations of the traffic police are not transparent. Mass surveys show that contacts with traffic police officers represent a key source of corruption in this country. This article discusses the links between corruption in the traffic police and road safety. Corruption in the traffic police has a positive impact on road safety in Russia, a middle-income country. It suppresses economic growth and thus reduces the int...

  13. Sleep Disturbance from Road Traffic, Railways, Airplanes and from Total Environmental Noise Levels in Montreal.

    Science.gov (United States)

    Perron, Stéphane; Plante, Céline; Ragettli, Martina S; Kaiser, David J; Goudreau, Sophie; Smargiassi, Audrey

    2016-08-11

    The objective of our study was to measure the impact of transportation-related noise and total environmental noise on sleep disturbance for the residents of Montreal, Canada. A telephone-based survey on noise-related sleep disturbance among 4336 persons aged 18 years and over was conducted. LNight for each study participant was estimated using a land use regression (LUR) model. Distance of the respondent's residence to the nearest transportation noise source was also used as an indicator of noise exposure. The proportion of the population whose sleep was disturbed by outdoor environmental noise in the past 4 weeks was 12.4%. The proportion of those affected by road traffic, airplane and railway noise was 4.2%, 1.5% and 1.1%, respectively. We observed an increased prevalence in sleep disturbance for those exposed to both rail and road noise when compared for those exposed to road only. We did not observe an increased prevalence in sleep disturbance for those that were both exposed to road and planes when compared to those exposed to road or planes only. We developed regression models to assess the marginal proportion of sleep disturbance as a function of estimated LNight and distance to transportation noise sources. In our models, sleep disturbance increased with proximity to transportation noise sources (railway, airplane and road traffic) and with increasing LNight values. Our study provides a quantitative estimate of the association between total environmental noise levels estimated using an LUR model and sleep disturbance from transportation noise.

  14. Road safety and road traffic accidents in Saudi Arabia. A systematic review of existing evidence.

    Science.gov (United States)

    Mansuri, Farah A; Al-Zalabani, Abdulmohsen H; Zalat, Marwa M; Qabshawi, Reem I

    2015-04-01

    To identify the changing trends and crucial preventive approaches to road traffic accidents (RTAs) adopted in the Kingdom of Saudi Arabia (KSA) over the last 2.5 decades, and to analyze aspects previously overlooked. This systematic review was based on evidence of RTAs in KSA. All articles published during the last 25 years on road traffic accident in KSA were analyzed. This study was carried out from December 2013 to May 2014 in the Department of Family and Community Medicine, Taibah University, Al-Madinah Al-Munawwarah, KSA. Road traffic accidents accounted for 83.4% of all trauma admissions in 1984-1989, and no such overall trend was studied thereafter. The most frequently injured body regions as reported in the latest studies were head and neck, followed by upper and lower extremities, which was found to be opposite to that of the studies reported earlier. Hospital data showed an 8% non-significant increase in road accident mortalities in contrast to police records of a 27% significant reduction during the years 2005-2010. Excessive speeding was the most common cause reported in all recent and past studies. Disparity was common in the type of reporting of RTAs, outcome measures, and possible causes over a period of 2.5 decade. All research exclusively looked into the drivers' faults. A sentinel surveillance of road crashes should be kept in place in the secondary and tertiary care hospitals for all regions of KSA.

  15. Study of the road traffic noise in Erzurum-Turkey

    Directory of Open Access Journals (Sweden)

    Mahir Gökdag

    2012-12-01

    Full Text Available Road traffic noise affects a large number of people, especially in urban areas and is generally a major source of complaints. This paper refers to a study of the problem of traffic noise on roads which have been transformed into streets in the city of Erzurum. Noise levels are measured and the impacts suffered by the community are documented. Manual noise measurements were made along 12 streets exploring sources of maximum noise levels. Noise from different types of vehicles driven in a realistic way in inner city traffic was measured. The results from the measurements showed that, of 750 measured events, approximately 5% of the vehicles exceeded 70 dB(A and less than 2% exceeded 80 dB(A maximum noise level. In summary, the result showed that the most important vehicle component as regards the maximum noise level in inner city traffic was a medium-weight vehicle. Among the higher noise levels measured (>80 dB(A this type of vehicle was dominant.

  16. The Pattern of Road Traffic Crashes in South East Iran.

    Science.gov (United States)

    Rad, Mahdieh; Martiniuk, Alexandra Lc; Ansari-Moghaddam, Alireza; Mohammadi, Mahdi; Rashedi, Fariborz; Ghasemi, Ardavan

    2016-09-01

    In the present study, the epidemiologic aspects of road traffic crashes in South East of Iran are described. This cross-sectional study included the profile of 2398 motor vehicle crashes recorded in the police office in one Year in South East of Iran. Data collected included: demographics, the type of crash, type of involved vehicle, location of crash and factors contributing to the crash. Descriptive statistics were used for data analysis. Collisions with other vehicles or objects contributed the highest proportion (62.4%) of motor vehicle crashes. Human factors including careless driving, violating traffic laws, speeding, and sleep deprivation/fatigue were the most important causal factors accounting for 90% of road crashes. Data shows that 41% of drivers were not using a seat belt at the time of crash. One- third of the crashes resulted in injury (25%) or death (5%). Reckless driving such as speeding and violation of traffic laws are major risk factors for crashes in the South East of Iran. This highlights the need for education along with traffic law enforcement to reduce motor vehicle crashes in future.

  17. Oil industry and road traffic fatalities in contemporary Colombia.

    Science.gov (United States)

    Tasciotti, Luca; Alejo, Didier; Romero, Andrés

    2016-12-01

    This paper studies the effects that oil extraction activities in Colombia have on the number of dead/injured people as a consequence of road-related accidents. Starting in 2004, the increasing exploitation of oil wells in some Colombian departments has worsened the traffic conditions due to the increased presence of trucks transporting crude oil from the wells to the refineries; this phenomenon has not been accompanied by an improvement in the road system with dramatic consequences in terms of road viability. The descriptive and empirical analysis presented here focuses on the period 2004-2011; results from descriptive statistics indicate a positive relationship between the presence of oil extraction activities and the number of either dead/injured people. Panel regressions for the period 2004-2011 confirm that, among other factors, the presence of oil-extraction activities did play a positive and statistical significant role in increasing the number of dead/injured people.

  18. Annoyance from Road Traffic, Trains, Airplanes and from Total Environmental Noise Levels

    Directory of Open Access Journals (Sweden)

    Martina S. Ragettli

    2015-12-01

    Full Text Available There is a lack of studies assessing the exposure-response relationship between transportation noise and annoyance in North America. Our aims were to investigate the prevalence of noise annoyance induced by road traffic, trains and airplanes in relation to distance to transportation noise sources, and to total environmental noise levels in Montreal, Canada; annoyance was assessed as noise-induced disturbance. A telephone-based survey among 4336 persons aged >18 years was conducted. Exposure to total environmental noise (A-weighted outdoor noise levels—LAeq24h and day-evening-night equivalent noise levels—Lden for each study participant was determined using a statistical noise model (land use regression—LUR that is based on actual outdoor noise measurements. The proportion of the population annoyed by road traffic, airplane and train noise was 20.1%, 13.0% and 6.1%, respectively. As the distance to major roads, railways and the Montreal International Airport increased, the percentage of people disturbed and highly disturbed due to the corresponding traffic noise significantly decreased. When applying the statistical noise model we found a relationship between noise levels and disturbance from road traffic and total environmental noise, with Prevalence Proportion Ratios (PPR for highly disturbed people of 1.10 (95% CI: 1.07–1.13 and 1.04 (1.02–1.06 per 1 dB(A Lden, respectively. Our study provides the first comprehensive information on the relationship between transportation noise levels and disturbance in a Canadian city. LUR models are still in development and further studies on transportation noise induced annoyance are consequently needed, especially for sources other than road traffic.

  19. Congestion Characteristics of Interrupted Flow for Urban Roads with Heterogeneous Traffic Structure

    Directory of Open Access Journals (Sweden)

    Sharma Hemant Kumar

    2016-01-01

    Full Text Available Traffic congestion is a severe trepidation to transportation engineers for its unrestrained growth and consequential losses. This paper presents congestion models and speed-flow analysis for urban roads with interrupted flow comprising of heterogeneous structure of traffic. Models have been developed for heterogeneous traffic under constraints of roadway geometry, vehicle characteristics, driving behaviour and traffic controls. The growth of congestion with flow in unsaturated and oversaturated states of flow has been analysed and quantified. The congestion model developed in this paper shows that there exist different regions of congestion- flow behaviour that can be characterized by different rate of change of congestion and the severity of congestion becomes tremendous for oversaturated flows. Different levels of service have been proposed to define operating conditions using more realistic parameter ‘congestion’.

  20. Road traffic noise is associated with increased cardiovascular morbidity and mortality and all-cause mortality in London.

    Science.gov (United States)

    Halonen, Jaana I; Hansell, Anna L; Gulliver, John; Morley, David; Blangiardo, Marta; Fecht, Daniela; Toledano, Mireille B; Beevers, Sean D; Anderson, Hugh Ross; Kelly, Frank J; Tonne, Cathryn

    2015-10-14

    Road traffic noise has been associated with hypertension but evidence for the long-term effects on hospital admissions and mortality is limited. We examined the effects of long-term exposure to road traffic noise on hospital admissions and mortality in the general population. The study population consisted of 8.6 million inhabitants of London, one of Europe's largest cities. We assessed small-area-level associations of day- (7:00-22:59) and nighttime (23:00-06:59) road traffic noise with cardiovascular hospital admissions and all-cause and cardiovascular mortality in all adults (≥25 years) and elderly (≥75 years) through Poisson regression models. We adjusted models for age, sex, area-level socioeconomic deprivation, ethnicity, smoking, air pollution, and neighbourhood spatial structure. Median daytime exposure to road traffic noise was 55.6 dB. Daytime road traffic noise increased the risk of hospital admission for stroke with relative risk (RR) 1.05 [95% confidence interval (CI): 1.02-1.09] in adults, and 1.09 (95% CI: 1.04-1.14) in the elderly in areas >60 vs. 60 vs. road traffic noise was associated with small increased risks of all-cause mortality and cardiovascular mortality and morbidity in the general population, particularly for stroke in the elderly. © The Author 2015. Published by Oxford University Press on behalf of the European Society of Cardiology.

  1. The effects of road traffic and aircraft noise exposure on children's episodic memory: the RANCH project.

    Science.gov (United States)

    Matheson, Mark; Clark, Charlotte; Martin, Rocio; van Kempen, Elise; Haines, Mary; Barrio, Isabel Lopez; Hygge, Staffan; Stansfeld, Stephen

    2010-01-01

    Previous studies have found that chronic exposure to aircraft noise has a negative effect on children's performance on tests of episodic memory. The present study extended the design of earlier studies in three ways: firstly, by examining the effects of two noise sources, aircraft and road traffic, secondly, by examining exposure-effect relationships, and thirdly, by carrying out parallel field studies in three European countries, allowing cross-country comparisons to be made. A total of 2844 children aged between 8 years 10 months and 12 years 10 months (mean age 10 years 6 months) completed classroom-based tests of cued recall, recognition memory and prospective memory. Questionnaires were also completed by the children and their parents in order to provide information about socioeconomic context. Multilevel modeling analysis revealed aircraft noise to be associated with an impairment of recognition memory in a linear exposure-effect relationship. The analysis also found road traffic noise to be associated with improved performance on cued recall in a linear exposure-effect relationship. No significant association was found between exposure to aircraft noise and cued recall or prospective memory. Likewise, no significant association was found between road traffic noise and recognition or prospective memory. Taken together, these findings indicate that exposure to aircraft noise and road traffic noise can impact on certain aspects of children's episodic memory.

  2. A numerical forecast model for road meteorology

    Science.gov (United States)

    Meng, Chunlei

    2017-05-01

    A fine-scale numerical model for road surface parameters prediction (BJ-ROME) is developed based on the Common Land Model. The model is validated using in situ observation data measured by the ROSA road weather stations of Vaisala Company, Finland. BJ-ROME not only takes into account road surface factors, such as imperviousness, relatively low albedo, high heat capacity, and high heat conductivity, but also considers the influence of urban anthropogenic heat, impervious surface evaporation, and urban land-use/land-cover changes. The forecast time span and the update interval of BJ-ROME in vocational operation are 24 and 3 h, respectively. The validation results indicate that BJ-ROME can successfully simulate the diurnal variation of road surface temperature both under clear-sky and rainfall conditions. BJ-ROME can simulate road water and snow depth well if the artificial removing was considered. Road surface energy balance in rainy days is quite different from that in clear-sky conditions. Road evaporation could not be neglected in road surface water cycle research. The results of sensitivity analysis show solar radiation correction coefficient, asphalt depth, and asphalt heat conductivity are important parameters in road interface temperatures simulation. The prediction results could be used as a reference of maintenance decision support system to mitigate the traffic jam and urban water logging especially in large cities.

  3. Street characteristics and traffic factors determining road users' exposure to black carbon

    International Nuclear Information System (INIS)

    Dons, Evi; Temmerman, Philip; Van Poppel, Martine; Bellemans, Tom; Wets, Geert; Int Panis, Luc

    2013-01-01

    Many studies nowadays make the effort of determining personal exposure rather than estimating exposure at the residential address only. While intra-urban air pollution can be modeled quite easily using interpolation methods, estimating exposure in transport is more challenging. The aim of this study is to investigate which factors determine black carbon (BC) concentrations in transport microenvironments. Therefore personal exposure measurements are carried out using portable aethalometers, trip diaries and GPS devices. More than 1500 trips, both by active modes and by motorized transport, are evaluated in Flanders, Belgium. GPS coordinates are assigned to road segments to allow BC concentrations to be linked with trip and road characteristics (trip duration, degree of urbanization, road type, traffic intensity, travel speed and road speed). Average BC concentrations on highways (10.7 μg/m 3 ) are comparable to concentrations on urban roads (9.6 μg/m 3 ), but levels are significantly higher than concentrations on rural roads (6.1 μg/m 3 ). Highways yield higher BC exposures for motorists compared to exposure on major roads and local roads. Overall BC concentrations are elevated at lower speeds ( 3 for roads with less than 500 veh/h, up to 12 μg/m 3 for roads with over 2500 veh/h). Traffic intensity proved to be the major explanatory variable for in-vehicle BC exposure, together with timing of the trip and urbanization. For cyclists and pedestrians the range in BC exposure is smaller and models are less predictive; for active modes exposure seems to be influenced by timing and degree of urbanization only. - Highlights: ► Aethalometers, an electronic diary and GPS were used to measure exposure in transport ► More than 1500 trips with active modes and in motorized transport are studied ► Exposure is higher on highways, in urban areas and during traffic peak hours. ► Traffic intensity is the major explanatory variable for in-vehicle BC exposure. ► Exposure

  4. Landscape ecology and rural roads: Traffic calming for improving both landscape and wildlife?

    NARCIS (Netherlands)

    Jaarsma, C.F.; Langevelde, van F.; Beunen, R.

    2013-01-01

    The concept of traffic calming has successfully improved road safety. This concept applied in rural areas has provided new insights in the mitigation of negative effects of roads and traffic. Earlier studies have shown that the concept, distinguishing between local access roads and rural arterial

  5. Landscape Ecology and Rural Roads: Traffic Calming for improving both landscape and ecology?

    NARCIS (Netherlands)

    Jaarsma, C.F.; Langevelde, van F.

    2012-01-01

    The concept of traffic calming has successfully improved road safety. This concept applied in rural areas has provided new insights in the mitigation of negative effects of roads and traffic. Earlier studies have shown that the concept, distinguishing between local access roads and rural arterial

  6. Effects of traffic and ditch maintenance on forest road sediment production

    Science.gov (United States)

    Charles H. Luce; Thomas A. Black

    2001-01-01

    Observations of sediment yield from road segments in the Oregon Coast Range show that either heavy traffic during rainfall or blading the road ditch will increase erosion from forest roads. For the fine soils and high quality aggregate surfacing on the study plots, ditch blading increased sediment yield more than traffic equivalent to 12 log trucks per day. The...

  7. Do unpaved, low-traffic roads affect bird communities?

    Science.gov (United States)

    Mammides, Christos; Kounnamas, Constantinos; Goodale, Eben; Kadis, Costas

    2016-02-01

    Unpaved, low traffic roads are often assumed to have minimal effects on biodiversity. To explore this assertion, we sampled the bird communities in fifteen randomly selected sites in Pafos Forest, Cyprus and used multiple regression to quantify the effects of such roads on the total species richness. Moreover, we classified birds according to their migratory status and their global population trends, and tested each category separately. Besides the total length of unpaved roads, we also tested: a. the site's habitat diversity, b. the coefficient of variation in habitat (patch) size, c. the distance to the nearest agricultural field, and d. the human population size of the nearest village. We measured our variables at six different distances from the bird point-count locations. We found a strong negative relationship between the total bird richness and the total length of unpaved roads. The human population size of the nearest village also had a negative effect. Habitat diversity was positively related to species richness. When the categories were tested, we found that the passage migrants were influenced more by the road network while resident breeders were influenced by habitat diversity. Species with increasing and stable populations were only marginally affected by the variables tested, but the effect of road networks on species with decreasing populations was large. We conclude that unpaved and sporadically used roads can have detrimental effects on the bird communities, especially on vulnerable species. We propose that actions are taken to limit the extent of road networks within protected areas, especially in sites designated for their rich avifauna, such as Pafos Forest, where several of the affected species are species of European and global importance.

  8. Gestational diabetes mellitus and exposure to ambient air pollution and road traffic noise: A cohort study.

    Science.gov (United States)

    Pedersen, Marie; Olsen, Sjurdur F; Halldorsson, Thorhallur I; Zhang, Cuilin; Hjortebjerg, Dorrit; Ketzel, Matthias; Grandström, Charlotta; Sørensen, Mette; Damm, Peter; Langhoff-Roos, Jens; Raaschou-Nielsen, Ole

    2017-11-01

    Road traffic is a main source of air pollution and noise. Both exposures have been associated with type 2 diabetes, but associations with gestational diabetes mellitus (GDM) have been studied less. We aimed to examine single and joint associations of exposure to air pollution and road traffic noise on GDM in a prospective cohort. We identified GDM cases from self-reports and hospital records, using two different criteria, among 72,745 singleton pregnancies (1997-2002) from the Danish National Birth Cohort. We modeled nitrogen dioxide (NO 2 ) and noise from road traffic (L den ) exposure at all pregnancy addresses. According to the two diagnostic criteria: the Danish clinical guidelines, which was our main outcome, and the WHO standard during recruitment period, a total of 565 and 210 women, respectively, had GDM. For both exposures no risk was evident for the common Danish criterion of GDM. A 10-μg/m 3 increase in NO 2 exposure during first trimester was, however, associated with an increased risk of WHO-GDM (adjusted odds ratio (OR)=1.24; 95% confidence interval (CI): 1.03, 1.49). The corresponding OR associated with a 10-dB higher road traffic noise level was 1.15 (0.94 to 1.18). In mutually adjusted models the OR for NO 2 remained similar 1.22 (0.98, 1.53) whereas that for road traffic noise decreased to 1.03 (0.80, 1.32). Significant associations were also observed for exposure averaged over the 2nd and 3rd trimesters and the full pregnancy. No risk was evident for the common Danish criterion of GDM. NO 2 was associated with higher risk for GDM according to the WHO criterion, which might be due to selection bias. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. Impact of provincial characteristics on the number of traffic accident victims on interurban roads in Spain.

    Science.gov (United States)

    Sánchez González, María Pilar; Escribano Sotos, Francisco; Tejada Ponce, Ángel

    2018-02-21

    This study has two aims. The first is to determine how various factors impact on the number of fatalities, serious injuries and slight injuries adjusted for the level of traffic on interurban roads in Spain. The second is to establish the number of victims per million vehicle-kilometres (veh-km) travelled on interurban roads in each province resulting from the effect of its specific characteristics. To this end, we developed six fixed effect panel data models with panel corrected standard errors for the 1999-2015 period. Our results show that while the proportion of high capacity roads, the unemployment rate and the motorization rate contribute to a reduction in the number of fatalities, serious injuries and slight injuries adjusted for level of traffic, the penalty-points licence system is effective in reducing the number of fatalities and serious injuries but not the number of slight injuries. Furthermore, the specific conditions in Ávila, Toledo, Madrid, Santa Cruz de Tenerife, Las Palmas de Gran Canaria, the Balearic Islands, Lleida and all the provinces on the Mediterranean coast cause a higher number of victims per million veh-km travelled than in the remaining provinces. Thus, greater public investment and more socially responsible behaviour are essential tools for reducing the number of traffic accident victims on Spanish interurban roads. Moreover, the provincial institutions emerge as key agents in improving road safety, due to their greater knowledge of the specific conditions and factors affecting each province. Copyright © 2018 Elsevier Ltd. All rights reserved.

  10. Residential Air Pollution, Road Traffic, Greenness and Maternal Hypertension: Results from GINIplus and LISAplus.

    Science.gov (United States)

    Jendrossek, Mario; Standl, Marie; Koletzko, Sibylle; Lehmann, Irina; Bauer, Carl-Peter; Schikowski, Tamara; von Berg, Andrea; Berdel, Dietrich; Heinrich, Joachim; Markevych, Iana

    2017-07-01

    The public health burden of hypertension is high, but its relationship with long-term residential air pollution, road traffic, and greenness remains unclear. To investigate associations between residential air pollution, traffic, greenness, and hypertension among mothers. Information on doctor-diagnosed maternal hypertension was collected at the 15-year follow-up of two large population-based multicenter German birth cohorts-GINIplus and LISAplus (n=3063). Residential air pollution was modelled by land use regression models within the ESCAPE and universal kriging within the APMoSPHERE projects. Road traffic was defined as traffic load on major roads within a 100-m buffer around residences. Vegetation level ( ie , greenness) was defined as the mean Normalized Difference Vegetation Index in a 500-m buffer around residences and was assessed from Landsat 5 TM satellite images. All the exposure variables were averaged over three residential addresses during the last 10 years and categorized into tertiles or dichotomized. The individual associations between each of the exposure variables and hypertension were assessed using logistic regression analysis. No significant and consistent associations across different levels of adjustment were observed between the exposures of interest and hypertension. The only significant estimate was found with coarse particulate matter concentrations (OR 1.66, 95% CI 1.01 to 2.74; 3 rd vs 1 st tertile) among mothers residing in the Wesel area. No significant associations were observed with traffic load or greenness. This study does not provide evidence on detrimental effects of air pollution and road traffic or beneficial effects of greenness on hypertension among German adults.

  11. Traffic noise in Hyderabad city, part-II. vehicular contribution to road traffic noise

    International Nuclear Information System (INIS)

    Sheikh, G.H.

    2001-01-01

    The results of a road traffic noise survey carried out in Hyderabad city showed that the levels of traffic noise in the City are alarmingly high and much beyond the comfortable limits. There, in order to investigate the level of the noise emitted by different types of vehicles plying on the city roads and to assess their individual contribution to high level traffic noise, studies have been carried out on the measurement of noise emitted by motorcycles, buses, auto-rickshaws, and motor vehicle horns as they normally move on the city roads. The data collected has been analyzed for L/sub v99/, L/sub v90/, L/sub v50/, L/sub v10/ and L/sub v1/ and results are discussed with reference to the existing motor vehicle rules in Pakistan and motor vehicle noise emission limits set by the EEC and other developed countries. Some suggestion have also been made to limit high level traffic noise. (author)

  12. Analysis of Individual and Environmental Factors for Road Traffic Accidents in Sirjan-Bandarabbas Road between 2010 and 2011, Iran

    Directory of Open Access Journals (Sweden)

    Ghorbanali Mohammadi

    2016-10-01

    Full Text Available Sirjan -Bandarabbas road is one of the important commercial roads in Iran and for Sirjan’s area situation and relevance between Sirjan and other states in Iran so high percentage of goods that forwarded from Bandarabbas to other states transit from Sirjan .Therefore this road is as one important transition road and traffic road too .This study analyzed road traffic accidents were occurred between 2010 and 201in Sirjan- Bandarabbas road. Individual and demographic factors include Time of accidents, Drivers age, time of the days, seat belt and safety laws, Guilty vehicle, Mode of accident and education Level. Time of day analyses suggested that the highest percentage of road traffic injuries occurred in the time group between 12-18 hours. Drivers with the age group of 36-50 had more involvement in death accidents. The findings of this study also revealed that most of the collisions was front to back and front to side. Female drivers were found to be generally safer drivers than their male counterparts; male drivers had a higher involvement rate in road traffic accidents. This study indicated that Observe safety laws, Guilty vehicle and Mode of accidents have a meaningful relationship with Type of accidents in road traffic accidents in Sirjan Bandarabbas road.

  13. Risk Factors for Road Traffic Injuries among Different Road Users in the Gambia

    Directory of Open Access Journals (Sweden)

    Edrisa Sanyang

    2017-01-01

    Full Text Available We identified risk factors for road traffic injuries among road users who received treatment at two major trauma hospitals in urban Gambia. The study includes pedestrians, bicyclists, motorcyclists, and drivers/passengers of cars and trucks. We examined distributions of injury by age, gender, collision vehicle types and vehicle category, and driver and environment factors. Two hundred and fifty-four patients were included in the study. Two-thirds were male and one-third female. Two-thirds (67% of road traffic injuries involved pedestrians, bicyclists, and motorcyclists; and these were more common during weekdays (74% than weekends. Nearly half (47% of road traffic injuries involved pedestrians. One-third (34% of injured patients were students (mean age of students was less than 14 years, more than half (51% of whom were injured on the roadway as pedestrians. Head/skull injuries were common. Concussion/brain injuries were 3.5 times higher among pedestrians, bicyclists, and motorcyclists than vehicle occupants. Crashes involving pedestrians were more likely to involve young people (<25 years; aOR 6.36, 95% CI: 3.32–12.17 and involve being struck by a motor car (aOR 3.95, 95% CI: 2.09–7.47. Pedestrians contribute the largest proportion of hospitalizations in the Gambia. Young pedestrians are at particularly high risk. Prevention efforts should focus on not only vehicle and driver factors, but also protecting pedestrians, bicyclists, and motorcyclists.

  14. Quantification of Road Network Vulnerability and Traffic Impacts to Regional Landslide Hazards.

    Science.gov (United States)

    Postance, Benjamin; Hillier, John; Dixon, Neil; Dijkstra, Tom

    2015-04-01

    Slope instability represents a prevalent hazard to transport networks. In the UK regional road networks are frequently disrupted by multiple slope failures triggered during intense precipitation events; primarily due to a degree of regional homogeneity of slope materials, geomorphology and weather conditions. It is of interest to examine how different locations and combinations of slope failure impact road networks, particularly in the context of projected climate change and a 40% increase in UK road demand by 2040. In this study an extensive number (>50 000) of multiple failure event scenarios are simulated within a dynamic micro simulation to assess traffic impacts during peak flow (7 - 10 AM). Possible failure locations are selected within the county of Gloucestershire (3150 km2) using historic failure sites and British Geological Survey GeoSure data. Initial investigations employ a multiple linear regression analyses to consider the severity of traffic impacts, as measured by time, in respect of spatial and topographical network characteristics including connectivity, density and capacity in proximity to failure sites; the network distance between disruptions in multiple failure scenarios is used to consider the effects of spatial clustering. The UK Department of Transport road travel demand and UKCP09 weather projection data to 2080 provide a suitable basis for traffic simulations and probabilistic slope stability assessments. Future work will thus focus on the development of a catastrophe risk model to simulate traffic impacts under various narratives of future travel demand and slope instability under climatic change. The results of this investigation shall contribute to the understanding of road network vulnerabilities and traffic impacts from climate driven slope hazards.

  15. Traffic

    International Nuclear Information System (INIS)

    Lichtblau, G.

    2001-01-01

    This chapter deals with passenger and freight traffic, public and private transportation, traffic related environmental impacts, future developments, traffic indicators, regional traffic planning, health costs due to road traffic related air pollution, noise pollution, measures and regulations for traffic control and fuels for traffic. In particular energy consumption, energy efficiency, pollutant emissions ( CO 2 , SO 2 , NO x , HC, CO, N 2 O, NH 3 and particulates) and environmental effects of the different types of traffic and different types of fuels are compared and studied. Legal regulations and measures for an effective traffic control are discussed. (a.n.)

  16. Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm

    Directory of Open Access Journals (Sweden)

    Deok-Soon An

    2013-01-01

    Full Text Available A technique has been developed for predicting road traffic noise for environmental assessment, taking into account traffic volume as well as road surface conditions. The ASJ model (ASJ Prediction Model for Road Traffic Noise, 1999, which is based on the sound power level of the noise emitted by the interaction between the road surface and tires, employs regression models for two road surface types: dense-graded asphalt (DGA and permeable asphalt (PA. However, these models are not applicable to other types of road surfaces. Accordingly, this paper introduces a parameter estimation procedure for ASJ-based noise prediction models, utilizing a harmony search (HS algorithm. Traffic noise measurement data for four different vehicle types were used in the algorithm to determine the regression parameters for several road surface types. The parameters of the traffic noise prediction models were evaluated using another measurement set, and good agreement was observed between the predicted and measured sound power levels.

  17. Reducing the noise pollution level along main roads in Sibiu, Romania by optimizing the traffic flow

    Directory of Open Access Journals (Sweden)

    Deac Cristian

    2017-01-01

    Full Text Available Noise pollution is one of the most important negative effects of road traffic, especially in cities. The current paper presents an attempt to reduce the noise level created by the road traffic along some main roads in the city of Sibiu, Romania by suggesting ways to optimize the traffic flow. The number of cars and the resulting noise levels were recorded in a key area of Sibiu. The noise levels were compared to standards and to measurements taken in areas with less traffic. Then, they were fed, together with road geometry data, into a specialized simulation software that allowed the computer-aided reproduction of the traffic flow, but also the modifying of conditions such as the road geometry to achieve, coupled with a multicriterial analysis, an optimization of the pedestrian and road traffic flow in view of a reduced noise pollution.

  18. Solutions to Improve Road Circulation in the Pitesti City Based on Analysis-Diagnostics of Road Traffic

    Science.gov (United States)

    Vîlcan, A.; Neagu, E.; Badarau Suster, H.; Boroiu, A. A.

    2017-10-01

    Road traffic congestion has become a daily phenomenon in the central area of Pitesti in the peak traffic periods. In order to achieve the mobility plan of Pitesti, an important stage is the diagnostic analysis of the road traffic. For this purpose, the urban road network was formalized through a graph containing the most important 40 intersections and traffic measurements were made at all these intersections and on the main roads connecting the peri-urban area. The data obtained by traffic macrosimulation confirmed the overloading of the street network during peak traffic hours and the analyzes made for various road traffic organization scenarios have shown that there are sustainable solutions for urban mobility only if the road network is fundamentally reconfigured (a belt outside the city and a median ring). Thus, the necessity of realizing the road passage in the Prundu neighbourhood and the finishing of the city belt by realizing the “detour West” of the city is argued. The importance of the work is that it brings scientific arguments for the realization of these road infrastructure projects, integrated in the urban mobility plan, which will base the development strategy of the Pitesti municipality.

  19. Culture related to road traffic safety: a comparison of eight countries using two conceptualizations of culture.

    Science.gov (United States)

    Nordfjærn, Trond; Şimşekoğlu, Özlem; Rundmo, Torbjorn

    2014-01-01

    The majority of previous cross-country studies of human factors relevant to traffic safety have not operationalized and measured culture. Also studies in this vein have mostly been carried out in Europe and the United States. The aim of the study was to examine country cluster differences, based on the Culture's Consequences framework, in road traffic risk perception, attitudes towards traffic safety and driver behaviour in samples from Norway, Russia, India, Ghana, Tanzania, Uganda, Turkey and Iran. An additional aim was to examine cluster differences in road traffic culture as symbol use and to investigate whether this theoretical cultural framework predicts risk perception, attitudes towards traffic safety and driver behaviour in the country clusters. The sample consisted of a total of 2418 individuals who were obtained by convenience sampling in the different countries. The countries segmented into four Culture's Consequences clusters; Norway, Russia and India, Sub-Saharan Africa, and Near East countries. The findings showed that Norwegians reported overall safer attitudes towards traffic safety and driver behaviour than the remaining country clusters. Individuals in Africa reported the highest risk perception. The countries also differed substantially in road traffic culture as symbol use. Contrary to established cultural theory, prediction models revealed that cultural factors were stronger predictors of driver behaviour than of risk perception. Also, the social cognitive risk constructs (i.e. risk perception and attitudes) solely explained variance in driver behaviour in the Norwegian and Russia/India clusters. Previous empirical efforts, which aimed to demonstrate that culture is important for the risk perception criterion, may have focused on a criterion variable that is not strongly related to driver behaviour. Furthermore, countermeasures aimed to influence social cognition may have stronger applicability in countries with a more individualistic western

  20. Evaluation of Traffic Density Parameters as an Indicator of Vehicle Emission-Related Near-Road Air Pollution: A Case Study with NEXUS Measurement Data on Black Carbon

    Directory of Open Access Journals (Sweden)

    Shi V. Liu

    2017-12-01

    Full Text Available An important factor in evaluating health risk of near-road air pollution is to accurately estimate the traffic-related vehicle emission of air pollutants. Inclusion of traffic parameters such as road length/area, distance to roads, and traffic volume/intensity into models such as land use regression (LUR models has improved exposure estimation. To better understand the relationship between vehicle emissions and near-road air pollution, we evaluated three traffic density-based indices: Major-Road Density (MRD, All-Traffic Density (ATD and Heavy-Traffic Density (HTD which represent the proportions of major roads, major road with annual average daily traffic (AADT, and major road with commercial annual average daily traffic (CAADT in a buffered area, respectively. We evaluated the potential of these indices as vehicle emission-specific near-road air pollutant indicators by analyzing their correlation with black carbon (BC, a marker for mobile source air pollutants, using measurement data obtained from the Near-road Exposures and Effects of Urban Air Pollutants Study (NEXUS. The average BC concentrations during a day showed variations consistent with changes in traffic volume which were classified into high, medium, and low for the morning rush hours, the evening rush hours, and the rest of the day, respectively. The average correlation coefficients between BC concentrations and MRD, ATD, and HTD, were 0.26, 0.18, and 0.48, respectively, as compared with −0.31 and 0.25 for two commonly used traffic indicators: nearest distance to a major road and total length of the major road. HTD, which includes only heavy-duty diesel vehicles in its traffic count, gives statistically significant correlation coefficients for all near-road distances (50, 100, 150, 200, 250, and 300 m that were analyzed. Generalized linear model (GLM analyses show that season, traffic volume, HTD, and distance from major roads are highly related to BC measurements. Our analyses

  1. Evaluation of Traffic Density Parameters as an Indicator of Vehicle Emission-Related Near-Road Air Pollution: A Case Study with NEXUS Measurement Data on Black Carbon.

    Science.gov (United States)

    Liu, Shi V; Chen, Fu-Lin; Xue, Jianping

    2017-12-15

    An important factor in evaluating health risk of near-road air pollution is to accurately estimate the traffic-related vehicle emission of air pollutants. Inclusion of traffic parameters such as road length/area, distance to roads, and traffic volume/intensity into models such as land use regression (LUR) models has improved exposure estimation. To better understand the relationship between vehicle emissions and near-road air pollution, we evaluated three traffic density-based indices: Major-Road Density (MRD), All-Traffic Density (ATD) and Heavy-Traffic Density (HTD) which represent the proportions of major roads, major road with annual average daily traffic (AADT), and major road with commercial annual average daily traffic (CAADT) in a buffered area, respectively. We evaluated the potential of these indices as vehicle emission-specific near-road air pollutant indicators by analyzing their correlation with black carbon (BC), a marker for mobile source air pollutants, using measurement data obtained from the Near-road Exposures and Effects of Urban Air Pollutants Study (NEXUS). The average BC concentrations during a day showed variations consistent with changes in traffic volume which were classified into high, medium, and low for the morning rush hours, the evening rush hours, and the rest of the day, respectively. The average correlation coefficients between BC concentrations and MRD, ATD, and HTD, were 0.26, 0.18, and 0.48, respectively, as compared with -0.31 and 0.25 for two commonly used traffic indicators: nearest distance to a major road and total length of the major road. HTD, which includes only heavy-duty diesel vehicles in its traffic count, gives statistically significant correlation coefficients for all near-road distances (50, 100, 150, 200, 250, and 300 m) that were analyzed. Generalized linear model (GLM) analyses show that season, traffic volume, HTD, and distance from major roads are highly related to BC measurements. Our analyses indicate that

  2. Speed enforcement detection devices for preventing road traffic injuries.

    Science.gov (United States)

    Wilson, C; Willis, C; Hendrikz, J K; Bellamy, N

    2006-04-19

    It is estimated that by 2020, road traffic crashes will have moved from ninth to third in the world ranking of burden of disease, as measured in disability adjusted life years. The identification of effective strategies for the prevention of road traffic injuries is of global public health importance. Measures aimed at reducing traffic speed are considered essential to preventing road injuries; the use of speed enforcement detection devices (including speed cameras and radar and laser devices) is one such measure. To assess whether the use of speed enforcement detection devices (SEDs) reduces the incidence of speeding, road traffic crashes, injuries and deaths. We searched the Cochrane Injuries Group's Specialised Register, CENTRAL, MEDLINE, EMBASE, Science (and Social Science) Citation Index, TRANSPORT, PsycINFO, CINAHL, EconLit. We searched the websites of road safety and motoring associations, as well as general internet searches. We handsearched selected journals and conference proceedings, and contacted experts in the field. The searches were conducted during May to November 2004. Randomised controlled trials and controlled before-after studies that assessed the impact of speed enforcement detection devices on speeding, road crashes, injuries and deaths were eligible for inclusion. For studies involving co-interventions, SEDs had to be the major intervention focus of the study to be eligible. We independently screened search results, assessed studies for inclusion, extracted data and assessed methodological quality. Due to variability between and within included studies, a pooled analysis was not appropriate. No randomised controlled trials were identified. Twenty-six studies met the inclusion criteria, of which 22 were controlled before-after trials incorporating a distinct control or comparison group(s) and four were interrupted time series designs with a comparison group(s). Fourteen studies reported speed and crash outcomes, seven reported crash outcomes

  3. Road traffic management based on self-load-balancing approach

    Directory of Open Access Journals (Sweden)

    Adnane Ahmed

    2016-01-01

    Full Text Available Traffic congestion is one of the most challenging problems for nowadays cities. Several contributions mainly based on V2V (Vehicle-to-Vehicle communication have been published, but most of them have never been applied due to their communication related problems and costs. In this article, a novel cost-effective approach is introduced inspired by social life of insects where direct (V2V communication does not exist anymore. Vehicles are equipped with devices that perform simple tasks, but their interactions with the environment through RSUs (Road Side Units allow the creation of an intelligence which notifies drivers about congested road segments to avoid them. We call this emerging behavior self-load balancing. Description of the fundamentals of this approach and its performance are detailed in this work.

  4. Traffic process control. Automation of road- and rail traffic; Verkehrsleittechnik. Automatisierung des Strassen- und Schienenverkehrs

    Energy Technology Data Exchange (ETDEWEB)

    Schnieder, Eckehard (ed.) [TU Braunschweig (Germany). Inst. fuer Verkehrssicherheit und Automatisierungstechnik

    2007-07-01

    Traffic control aims the comprehensive guidance of complex traffic flows. The book provides a solid foundation, from design to realization with highly detailed technical systems. It presents a functionally oriented traffic process control strategy as its main topic, valuable for further technology change. Four main topics treat tasks and structures of traffic process control systems: single vehicle control and information management; traffic flow control; node control; operation and network management. The book addresses students and specialists of traffic science, who already have basic knowledge of the road- and rail sector and control engineering in relation systems theory. (GL) [German] Ziel der Verkehrsleittechnik ist die Beherrschung komplexer Verkehrsstroeme des Strassen- und Schienenverkehrs. Vom Entwurf bis zur Realisierung mit technischen Einrichtungen, die eine grosse Detailfuelle aufweisen, wird eine solide Grundlage vermittelt. Das vorliegende Buch stellt dafuer eine funktional orientierte Verkehrsleittechnik in den Mittelpunkt, die ueber den Technologiewandel hinaus gilt. Vier Abschnitte behandeln die Aufgaben und Strukturen von Verkehrsleitsystemen: Einzelfahrzeugsteuerung und -informationsmanagement; Verkehrsflusssteuerung; Knotensteuerung; Betriebs- und Netzmanagement. Das Buch richtet sich an Studierende und Fachleute des Verkehrswesens. Voraussetzungen sind Kenntnisse des Strassen- und Schienenverkehrs und der Regelungstechnik bzw. Systemtheorie. (orig.)

  5. Trauma center accessibility for road traffic injuries in Hanoi, Vietnam.

    Science.gov (United States)

    Nagata, Takashi; Takamori, Ayako; Kimura, Yoshinari; Kimura, Akio; Hashizume, Makoto; Nakahara, Shinji

    2011-09-30

    Rapid economic growth in Vietnam over the last decade has led to an increased frequency of road traffic injury (RTI), which now represents one of the leading causes of death in the nation. Various efforts toward injury prevention have not produced a significant decline in the incidence of RTIs. Our study sought to describe the geographic distribution of RTIs in Hanoi, Vietnam and to evaluate the accessibility of trauma centers to those injured in the city. We performed a cross-sectional study using Hanoi city police reports from 2006 to describe the epidemiology of RTIs occurring in Hanoi city. Additionally, we identified geographic patterns and determined the direct distance from injury sites to trauma centers by applying geographical information system (GIS) software. Factors associated with the accessibility of trauma centers were evaluated by multivariate regression analysis. We mapped 1,271 RTIs in Hanoi city. About 40% of RTIs occurred among people 20-29 years of age. Additionally, 63% of RTIs were motorcycle-associated incidents. Two peak times of injury occurrence were observed: 12 am-4 pm and 8 pm-0 am. "Hot spots" of road traffic injuries/fatalities were identified in the city area and on main highways using Kernel density estimation. Interestingly, RTIs occurring along the two north-south main roads were not within easy access of trauma centers. Further, fatal cases, gender and injury mechanism were significantly associated with the distance between injury location and trauma centers. Geographical patterns of RTIs in Hanoi city differed by gender, time, and injury mechanism; such information may be useful for injury prevention. Specifically, RTIs occurring along the two north-south main roads have lower accessibility to trauma centers, thus an emergency medical service system should be established.

  6. The improved degree of urban road traffic network: A case study of Xiamen, China

    Science.gov (United States)

    Wang, Shiguang; Zheng, Lili; Yu, Dexin

    2017-03-01

    The complex network theory is applied to the study of urban road traffic network topology, and we constructed a new measure to characterize an urban road network. It is inspiring to quantify the interaction more appropriately between nodes in complex networks, especially in the field of traffic. The measure takes into account properties of lanes (e.g. number of lanes, width, traffic direction). As much, it is a more comprehensive measure in comparison to previous network measures. It can be used to grasp the features of urban street network more clearly. We applied this measure to the road network in Xiamen, China. Based on a standard method from statistical physics, we examined in more detail the distribution of this new measure and found that (1) due to the limitation of space geographic attributes, traditional research conclusions acquired by using the original definition of degree to study the primal approach modeled urban street network are not very persuasive; (2) both of the direction of the network connection and the degree's odd or even classifications need to be analyzed specifically; (3) the improved degree distribution presents obvious hierarchy, and hierarchical values conform to the power-law distribution, and correlation of our new measure shows some significant segmentation of the urban road network.

  7. Global impact of road traffic on atmospheric chemical composition and on ozone climate forcing

    Science.gov (United States)

    Niemeier, Ulrike; Granier, Claire; Kornblueh, Luis; Walters, Stacy; Brasseur, Guy P.

    2006-05-01

    Automobile emissions are known to contribute to local air pollution and to photochemical smog in urban areas. The impact of road traffic on the chemical composition of the troposphere at the global scale and on climate forcing is less well quantified. Calculations performed with the chemical transport MOZART-2 model show that the concentrations of ozone and its precursors (NOx, CO, and hydrocarbons) are considerably enhanced in most regions of the Northern Hemisphere in response to current surface traffic. During summertime in the Northern Hemisphere, road traffic has increased the zonally averaged ozone concentration by more than 10% in the boundary layer and in the extratropics by approximately 6% at 500 hPa and 2.5% at 300 hPa. The summertime surface ozone concentrations have increased by typically 1-5 ppbv in the remote regions and by 5-20 ppbv in industrialized regions of the Northern Hemisphere. The corresponding ozone-related radiative forcing is 0.05 Wm-2. In order to assess the sensitivity of potential changes in road traffic intensity, two additional model cases were considered, in which traffic-related emissions in all regions of the world were assumed to be on a per capita basis the same as in Europe and in the United States, respectively. In the second and most dramatic case, the surface ozone concentration increases by 30-50 ppbv (50-100%) in south Asia as compared to the present situation. Under this assumption, the global radiative forcing due to traffic-generated ozone reaches 0.27 Wm-2.

  8. [Road traffic injuries in Mexico: evidences to strengthen the Mexican road safety strategy].

    Science.gov (United States)

    Pérez-Núñez, Ricardo; Híjar, Martha; Celis, Alfredo; Hidalgo-Solórzano, Elisa

    2014-05-01

    Based on a review of secondary data and the scientific literature and an analysis of the ENSANut-2012 database, the current study provides a comprehensive overview of the current burden of road traffic injuries (RTI) in Mexico and analyzes the country's social response to RTI. The high collision, injury, mortality, and disability rates associated with this public health problem represent a high cost for Mexican society, especially for families. The paper argues that the Mexican response has focused on vehicle occupants while overlooking vulnerable road users and has prioritized strategies with limited effectiveness. Although the country's existing legislation addresses the main risk factors, enforcement has been limited. Finally, the paper makes some recommendations for strengthening the Mexican strategy to prevent RTI, such as safe, equitable, healthy, and sustainable mobility for all types of road users. Despite some strides in RTI prevention, there are still challenges and opportunities to be addressed in the future.

  9. The Association between Road Traffic Noise Exposure, Annoyance and Health-Related Quality of Life (HRQOL

    Directory of Open Access Journals (Sweden)

    Harris Héritier

    2014-12-01

    Full Text Available The aim of this study is to investigate the relationships between road traffic noise exposure, annoyance caused by different noise sources and validated health indicators in a cohort of 1375 adults from the region of Basel, Switzerland. Road traffic noise exposure for each study participant was determined using modelling, and annoyance from various noise sources was inquired by means of a four-point Likert scale. Regression parameters from multivariable regression models for the von Zerssen score of somatic symptoms (point symptom score increase per annoyance category showed strongest associations with annoyance from industry noise (2.36, 95% CI: 1.54, 3.17, neighbour noise (1.62, 95% CI: 1.17, 2.06 and road traffic noise (1.53, 95% CI: 1.09, 1.96. Increase in modelled noise exposure by 10 dB(A resulted in a von Zerssen symptom score increase of 0.47 (95% CI: −0.01, 0.95 units. Subsequent structural equation modelling revealed that the association between physical noise exposure and health-related quality of life (HRQOL is strongly mediated by annoyance and sleep disturbance. This study elucidates the complex interplay of different factors for the association between physical noise exposure and HRQOL.

  10. Modeling of Spacewire Traffic

    Science.gov (United States)

    Liebgott, Emmanuelle; Fourtier, Philippe; Jameux, David

    2011-08-01

    The Spacewire technology allows embarking high speed data networks on board spacecraft and become widely adopted by agencies and industries missions. Need for new tool to support conception, development and validation of such high speed data network has increased with Spacewire standard development. In that frame, MOST is a representative traffic spacewire simulator which presents great interests for both system engineers and spacewire experts:• It offers the possibility to build SpW network model, selecting and configuring SpW components, and to test defined design without waiting for HW,• It allows to keep control on traffic load and identify weak parts of the network topology,• It gives load margins and traffic performances,• It allows failures simulation and give the possibility to run various scenarios• MOST supports design risks decrease and secures planning thanks to early verification,• In addition, MOST is a progressive tool which allows testing of SpW standard evolutions.

  11. Speed-Density Model of Interrupted Traffic Flow Based on Coil Data

    Directory of Open Access Journals (Sweden)

    Chen Yu

    2016-01-01

    Full Text Available As a fundamental traffic diagram, the speed-density relationship can provide a solid foundation for traffic flow analysis and efficient traffic management. Because of the change in modern travel modes, the dramatic increase in the number of vehicles and traffic density, and the impact of traffic signals and other factors, vehicles change velocity frequently, which means that a speed-density model based on uninterrupted traffic flow is not suitable for interrupted traffic flow. Based on the coil data of urban roads in Wuhan, China, a new method which can accurately describe the speed-density relation of interrupted traffic flow is proposed for speed fluctuation characteristics. The model of upper and lower bounds of critical values obtained by fitting the data of the coils on urban roads can accurately and intuitively describe the state of urban road traffic, and the physical meaning of each parameter plays an important role in the prediction and analysis of such traffic.

  12. Towards an agent based traffic regulation and recommendation system for the on-road air quality control.

    Science.gov (United States)

    Sadiq, Abderrahmane; El Fazziki, Abdelaziz; Ouarzazi, Jamal; Sadgal, Mohamed

    2016-01-01

    This paper presents an integrated and adaptive problem-solving approach to control the on-road air quality by modeling the road infrastructure, managing traffic based on pollution level and generating recommendations for road users. The aim is to reduce vehicle emissions in the most polluted road segments and optimizing the pollution levels. For this we propose the use of historical and real time pollution records and contextual data to calculate the air quality index on road networks and generate recommendations for reassigning traffic flow in order to improve the on-road air quality. The resulting air quality indexes are used in the system's traffic network generation, which the cartography is represented by a weighted graph. The weights evolve according to the pollution indexes and path properties and the graph is therefore dynamic. Furthermore, the systems use the available pollution data and meteorological records in order to predict the on-road pollutant levels by using an artificial neural network based prediction model. The proposed approach combines the benefits of multi-agent systems, Big data technology, machine learning tools and the available data sources. For the shortest path searching in the road network, we use the Dijkstra algorithm over Hadoop MapReduce framework. The use Hadoop framework in the data retrieve and analysis process has significantly improved the performance of the proposed system. Also, the agent technology allowed proposing a suitable solution in terms of robustness and agility.

  13. Road network safety evaluation using Bayesian hierarchical joint model.

    Science.gov (United States)

    Wang, Jie; Huang, Helai

    2016-05-01

    Safety and efficiency are commonly regarded as two significant performance indicators of transportation systems. In practice, road network planning has focused on road capacity and transport efficiency whereas the safety level of a road network has received little attention in the planning stage. This study develops a Bayesian hierarchical joint model for road network safety evaluation to help planners take traffic safety into account when planning a road network. The proposed model establishes relationships between road network risk and micro-level variables related to road entities and traffic volume, as well as socioeconomic, trip generation and network density variables at macro level which are generally used for long term transportation plans. In addition, network spatial correlation between intersections and their connected road segments is also considered in the model. A road network is elaborately selected in order to compare the proposed hierarchical joint model with a previous joint model and a negative binomial model. According to the results of the model comparison, the hierarchical joint model outperforms the joint model and negative binomial model in terms of the goodness-of-fit and predictive performance, which indicates the reasonableness of considering the hierarchical data structure in crash prediction and analysis. Moreover, both random effects at the TAZ level and the spatial correlation between intersections and their adjacent segments are found to be significant, supporting the employment of the hierarchical joint model as an alternative in road-network-level safety modeling as well. Copyright © 2016 Elsevier Ltd. All rights reserved.

  14. Neurological outcome in road traffic accidents with spinal cord injury.

    Science.gov (United States)

    Moslavac, Sasa; Dzidić, Ivan; Kejla, Zvonko

    2008-06-01

    The aim of the study was to investigate neurological outcome in road traffic accidents (RTA) with spinal cord injury (SCI). The study was undertaken in National Spinal Unit of Special Medical Rehabilitation Hospital, in Varazdinske Toplice, Croatia. Hospital records of 154 inpatient RTA SCI patients, in years 1991-2001 were reviewed. Six groups of patients were formed: car drivers, co-drivers, back seat passengers, motorcycle drivers, bicycle drivers and pedestrians. Neurological assessments at admission to rehabilitation and before discharge were done according to American Spinal Injury Association (ASIA) impairment scale. Methods of descriptive statistics were used. Overall 49% of RTA SCI patients presented with complete injury (ASIA A) at admission to rehabilitation, 93% of initially complete spinal cord injured patients remained complete at discharge and 72% previously non-ambulatory incomplete (ASIA B-E) patients achieved ambulation. Complete injury was acquired more often in motorcycle drivers and car drivers group (67% and 54%, respectively). Road traffic spinal cord injuries are, and will remain the leading cause of traumatic SCI, with high proportion of complete injury at rehabilitation onset, especially in motorcycle drivers and car drivers groups.

  15. Daylight Saving Time Transitions and Road Traffic Accidents

    Directory of Open Access Journals (Sweden)

    Tuuli Lahti

    2010-01-01

    Full Text Available Circadian rhythm disruptions may have harmful impacts on health. Circadian rhythm disruptions caused by jet lag compromise the quality and amount of sleep and may lead to a variety of symptoms such as fatigue, headache, and loss of attention and alertness. Even a minor change in time schedule may cause considerable stress for the body. Transitions into and out of daylight saving time alter the social and environmental timing twice a year. According to earlier studies, this change in time-schedule leads to sleep disruption and fragmentation of the circadian rhythm. Since sleep deprivation decreases motivation, attention, and alertness, transitions into and out of daylight saving time may increase the amount of accidents during the following days after the transition. We studied the amount of road traffic accidents one week before and one week after transitions into and out of daylight saving time during years from 1981 to 2006. Our results demonstrated that transitions into and out of daylight saving time did not increase the number of traffic road accidents.

  16. Alcohol abuse, road traffic and safety on the site

    CERN Document Server

    DSU Department

    2008-01-01

    In the light of the serious road accident that occurred on 3 February 2008, you are reminded that: the legal blood alcohol limit in force under the Host States’ traffic regulations (0.5 g per 1000 ml of blood) also applies on the CERN site; the consumption of alcohol is forbidden during working hours and is only tolerated in the restaurants at certain times, unless an exception is granted for special events; failure to observe these rules may result in disciplinary action by the Organization, independently of any sanctions that may be applicable pursuant to the road traffic regulations of the Host State concerned. Furthermore, the Reception and Access Control Service, the site guards and the Fire Brigade have been instructed to stop any driver in an obvious state of intoxication and to ask him to abandon his vehicle on the spot. In case of disagreement, they may also suggest that he submits to a voluntary blood alcohol level test at the CERN Medical Service or Fire Brigade...

  17. Consultative Committee on Road Traffic Fatalities: trauma audit methodology.

    Science.gov (United States)

    McDermott, F T; Cordner, S M; Tremayne, A B

    2000-10-01

    Since 1992 the Consultative Committee on Road Traffic Fatalities in Victoria has identified deficiencies and errors in the management of 559 road traffic fatalities in which the patients were alive on arrival of ambulance services. The Committee also assessed the preventability of deaths. Reproducibility of results using its methodology has been shown to be statistically significant. The Committee's findings and recommendations, the latter made in association with the learned Colleges and specialist Societies, led to the establishment of a Ministerial Taskforce on Trauma and Emergency Services. As a consequence, in 2000, a new trauma care system will be implemented in Victoria. This paper presents a case example demonstrating the Committee's methodology. The Committee has two 12 member multidisciplinary evaluative panels. A retrospective evaluation was made of the complete ambulance, hospital and autopsy records of eligible fatalities. The clinical and pathological findings were analysed using a comprehensive data proforma, a narrative summary and the complete records. Resulting multidisciplinary discussion problems were identified and the potential preventability of death was assessed. In the present case example the Committee identified 16 management deficiencies of which 11 were assessed as having contributed to the patient's death; the death, however, was judged to be non-preventable. The presentation of this example demonstrating the Committee's methodology may be of assistance to hospital medical staff undertaking their own major trauma audit.

  18. Road traffic accidents in Libya: An undeclared War

    Directory of Open Access Journals (Sweden)

    Ahmed Salamat

    2008-01-01

    Full Text Available To The Editor: In his outstanding article regarding Road Traffic Accidents (RTAs in Libya [1], Dr Abdulmajid Ali has raised awareness and started a debate about this extremely important issue. Before responding to some points in Dr Ali’s article, I would like to tell a real story of a tragic accident that happened last week, which highlights several issues related to RTAs in Libya. A 55 year old driver left after Fajr prayer to the vegetable market to buy a few things for his daughter’s wedding lunch. While trying to avoid a big pothole in the middle of the road, he was hit by a truck without headlights coming from the opposite direction. The truck driver continued driving as if nothing had happened. None of the road users cared to help the victim but he was able to contact his son by mobile phone to come and help him out of the wreckage. His son took him to the main Trauma Hospital in Tripoli. The patient had no external injuries. He was admitted for observation only. A few hours later the patient died as a result of major internal haemorrhage. Further information revealed that the truck driver had no driving licence and the truck was not road worthy.This story is not unique However, it highlights the complex and intermingled issues that need to be addressed to have any real impact on this disastrous problem in Libya. The specific points I would like to add to Dr Ali’s article are:There is no doubt that RTAs are a major killer in Libya especially in the young age group. The annual reporting of road causalities is considered to be the yard stick to measure the effectiveness of any national traffic policy,; in the UK for example the target is to reduce fatalities from RTAs by 50% by 2010 [2]. It is a disgrace not to have accurate official statistics published at least annually of fatalities, injuries, disabilities and the economic consequences of this undeclared war in Libya. There is evidence to support that there could be a positive

  19. Ecological study of road traffic injuries in the eastern Mediterranean region: country economic level, road user category and gender perspectives.

    Science.gov (United States)

    Sengoelge, Mathilde; Laflamme, Lucie; El-Khatib, Ziad

    2018-02-13

    The Eastern Mediterranean region has the second highest number of road traffic injury mortality rates after the African region based on 2013 data, with road traffic injuries accounting for 27% of the total injury mortality in the region. Globally the number of road traffic deaths has plateaued despite an increase in motorization, but it is uncertain whether this applies to the Region. This study investigated the regional trends in both road traffic injury mortality and morbidity and examined country-based differences considering on income level, categories of road users, and gender distribution. Register-based ecological study linking data from Global Burden of Disease Study with the United Nations Statistics Division for population and World Bank definition for country income level. Road traffic injury mortality rates and disability-adjusted life years were compiled for all ages at country level in 1995, 2005, 2015 and combined for a regional average (n = 22) and a global average (n = 122). The data were stratified by country economic level, road user category and gender. Road traffic injury mortality rates in the Region were higher than the global average for all three reference years but suggest a downward trend. In 2015 mortality rates were more than twice as high in low and high income countries compared to global income averages and motor vehicle occupants had a 3-fold greater mortality than the global average. Severe injuries decreased by more than half for high/middle income countries but remained high for low income countries; three times higher for males than females. Despite a potential downward trend, inequalities in road traffic injury mortality and morbidity burden remain high in the Eastern Mediterranean region. Action needs to be intensified and targeted to implement and enforce safety measures that prevent and mitigate severe motor vehicle crashes in high income countries especially and invest in efforts to promote public, active transport

  20. Road Traffic Noise Exposure and Hearing Impairment Among Traffic Policemen in Surat, Western India

    Science.gov (United States)

    Tandel, B. N.; Macwan, J. E. M.

    2017-06-01

    Among all of the sources responsible for noise pollution, traffic related sources are of great environmental concern and increasing level of discomfort in urban areas with increasing traffic concentration. It will be a larger and serious problem in the future, if effective precautions are not taken addressed and attended to. Hence, a study was undertaken to measure the levels of road traffic noise at major intersections of Surat city, located in Western India and assess the hearing impairment among the exposed group of population i.e. the traffic policemen. Manual noise measurements and vehicle counts were performed at three of the busiest traffic intersections in the city for a period of 12 h. Audiometric screening was done on 46 policemen working at these intersections to determine the occurrence of hearing impairment. At all the three intersections, Leq measured was well above the permissible levels of 65 dBA for daytime. The Lmax recorded for three intersections were 84.6 dBA (07:36 pm), 87.3 dBA (06:32 pm) and 85.6 dBA (11:41 am). Audiometric screening showed that only 10 policemen (22%) had normal hearing. Slight, moderate and severe hearing impairment was recorded among 13 (28%), 18 (39%) and 5 (11%) policemen respectively. Of the total 46 policemen, none had profound impairment (deafness, hearing loss >81 dB). Of the 36 policemen having hearing impairment, 27 had bilateral impairment.

  1. Effect of odour on multisensory environmental evaluations of road traffic

    International Nuclear Information System (INIS)

    Jiang, Like; Masullo, Massimiliano; Maffei, Luigi

    2016-01-01

    This study investigated the effect of odour on multisensory environmental evaluations of road traffic. The study aimed to answer: (1) Does odour have any effect on evaluations on noise, landscape and the overall environment? (2) How different are participants' responses to odour stimuli and are these differences influential on the evaluations? Experimental scenarios varied in three Traffic levels, three Tree screening conditions and two Odour presence conditions were designed, and presented to participants in virtual reality. Perceived Loudness, Noise Annoyance, Landscape Quality and Overall Pleasantness of each scenario were evaluated and the results were analysed. It shows that Odour presence did not have significant main effect on any of the evaluations, but has significant interactions with Traffic level on Noise Annoyance and with Tree screening on Landscape Quality, indicating the potential of odour to modulate noise and visual landscape perceptions in specific environmental content. Concerning participants' responses to odour stimuli, large differences were found in this study. However, the differences did not seem to be influential on environmental evaluations in this study. Larger samples of participants may benefit this study for more significant results of odour effect.

  2. Lower limb and associated injuries in frontal-impact road traffic ...

    African Journals Online (AJOL)

    Abstract. Objectives: To study the relationship between severity of injury of the lower limb and severity of injury of the head, thoracic, and abdominal regions in frontal-impact road traffic collisions. Methods: Consecutive hospitalised trauma patients who were involved in a frontal road traffic collision were prospectively stud-.

  3. Perspective of young drivers towards the care of the road traffic injured

    African Journals Online (AJOL)

    user

    2014-12-09

    Dec 9, 2014 ... some form of training in first aid care of the injured. Only 0.5% (2) of the total respondents knew the universal telephone number of 112 or 911 to call in the event of road traffic crash. Young drivers are well motivated and are more likely to confront emergency situations in road traffic crashes. Training them to.

  4. Injury Pattern Among Non-fatal Road Traffic Crash Victims | Gichuhi ...

    African Journals Online (AJOL)

    Objective: To study and analyse the pattern of injuries among non-fatal road traffic crash victims. Design: Retrospective analytical study. Setting: Kenyatta National Hospital, Nairobi over a six-month period from February to July 2004. Subjects: Road traffic crashes victims treated at Kenyatta National Hospital, Nairobi during ...

  5. Long-Term Exposure to Road Traffic Noise and Nitrogen Dioxide and Risk of Heart Failure

    DEFF Research Database (Denmark)

    Sørensen, Mette; Wendelboe Nielsen, Olav; Sajadieh, Ahmad

    2017-01-01

    BACKGROUND: Although air pollution and road traffic noise have been associated with higher risk of cardiovascular diseases, associations with heart failure have received only little attention. OBJECTIVES: We aimed to investigate whether long-term exposure to road traffic noise and nitrogen dioxid...

  6. CERTAIN LEGISLATIVE INITIATIVES OF UKRAINE IN PROVISION OF ROAD TRAFFIC SAFETY

    OpenAIRE

    S. I. Budnik

    2013-01-01

    The paper contains an analysis of reasons and conditions that impact on road traffic safety in the Ukraine. The analysis describes certain problems and conflicts of the legislation on road traffic safety and problems in the process of its execution. 

  7. Road traffic noise and incident myocardial infarction: a prospective cohort study

    DEFF Research Database (Denmark)

    Sørensen, Mette; Andersen, Zorana Jovanovic; Nordsborg, Rikke B

    2012-01-01

    Both road traffic noise and ambient air pollution have been associated with risk for ischemic heart disease, but only few inconsistent studies include both exposures.......Both road traffic noise and ambient air pollution have been associated with risk for ischemic heart disease, but only few inconsistent studies include both exposures....

  8. Long-term exposure to road traffic noise and incident diabetes

    DEFF Research Database (Denmark)

    Sørensen, Mette; Andersen, Zorana J; Nordsborg, Rikke B

    2013-01-01

    Road traffic noise at normal urban levels can lead to stress and sleep disturbances. Both excess of stress hormones and reduction in sleep quality and duration may lead to higher risk for type 2 diabetes.Objective: We investigated whether long-term exposure to residential road traffic noise...

  9. Road traffic crashes in South Africa: The burden of injury to a ...

    African Journals Online (AJOL)

    Road traffic crashes in South Africa: The burden of injury to a regional trauma centre. F Parkinson, S Kent, C Aldous, G Oosthuizen, D Clarke. Abstract. Background. Globally, 90% of road traffic crash (RTC) deaths occur in low- and middle-income countries. Objective. To document the mortality and morbidity associated with ...

  10. Fatal Road Traffic Accidents (RTA) In Mthatha Area Of South Africa ...

    African Journals Online (AJOL)

    Background: Trauma is one the leading causes of deaths in Mthatha area of South Africa. This part of the country is one of the least developed. Road traffic accidents contribute substantially to these traumatic deaths. Objective: To estimate and correlate with age and sex the fatal road traffic accidents in Mthatha area.

  11. Road Traffic Accidents in Nigeria: A PublicHealth Problem | Bun ...

    African Journals Online (AJOL)

    The articles were accessed from public libraries, as well as online through internet search engines and relevant information extracted. RESULTS: Worldwide, road traffic accidents lead to death and disability as well as financial cost to both society and the individual involved. The causes of road traffic accidents are not just ...

  12. Preliminary study on alterations of altitude road traffic in China from 2006 to 2013.

    Directory of Open Access Journals (Sweden)

    Hui Zhao

    Full Text Available Road traffic can play an important role in strengthening regional economic activities, especially at high altitude, and it is necessary to know important traffic-related information. Although previous studies reported on road traffic in China, there has been little research on high-altitude road traffic to date.The annual official census of road traffic safety from 2006 to 2013 was used to obtain data on the general population, registered drivers, registered vehicles, newly built roads, road traffic accidents (RTAs, mortality rate per 100 000 populations and per 10 000 vehicles in high-altitude provinces, including Tibet, Qinghai, Xinjiang, Gansu, Yunnan, Sichuan, and Chongqing. These provincial data were reviewed retrospectively, with the national data as the reference. Statistical analysis (i.e., t test was used to compare the estimated average annual change rate of population, number of registered drivers, registered vehicles, and newly built roads in high-altitude provinces with the national rates.Compared with the national data, there are significantly higher annual rates of population growth in Tibet and Xinjiang, registered drivers in Gansu, registered vehicles in Gansu, Sichuan, and Chongqing, and newly built roads in Tibet and Qinghai. Among the investigated provinces, Tibet, Qinghai, and Yunnan had a higher proportion of the roads with the high class. RTAs and RTA-induced casualties in the high-altitude provinces indicated a decreasing trend. The mortality rate per 10 000 vehicles and per 100 000 populations showed a decreasing trend, while the RTA-related mortality rate in Tibet, Qinghai, Xinjiang and Gansu remained high.Major changes for road traffic in high-altitude provinces have occurred over the past decade; however, the RTA-related mortality rate in high-altitude provinces has remained high. This study furthers understanding about road traffic safety in China; further studies on road traffic safety at high altitude should be

  13. Preliminary study on alterations of altitude road traffic in China from 2006 to 2013

    Science.gov (United States)

    Zhao, Hui; Yin, Zhiyong; Xiang, Hongyi; Liao, Zhikang; Wang, Zhengguo

    2017-01-01

    Introduction Road traffic can play an important role in strengthening regional economic activities, especially at high altitude, and it is necessary to know important traffic-related information. Although previous studies reported on road traffic in China, there has been little research on high-altitude road traffic to date. Method The annual official census of road traffic safety from 2006 to 2013 was used to obtain data on the general population, registered drivers, registered vehicles, newly built roads, road traffic accidents (RTAs), mortality rate per 100 000 populations and per 10 000 vehicles in high-altitude provinces, including Tibet, Qinghai, Xinjiang, Gansu, Yunnan, Sichuan, and Chongqing. These provincial data were reviewed retrospectively, with the national data as the reference. Statistical analysis (i.e., t test) was used to compare the estimated average annual change rate of population, number of registered drivers, registered vehicles, and newly built roads in high-altitude provinces with the national rates. Results Compared with the national data, there are significantly higher annual rates of population growth in Tibet and Xinjiang, registered drivers in Gansu, registered vehicles in Gansu, Sichuan, and Chongqing, and newly built roads in Tibet and Qinghai. Among the investigated provinces, Tibet, Qinghai, and Yunnan had a higher proportion of the roads with the high class. RTAs and RTA-induced casualties in the high-altitude provinces indicated a decreasing trend. The mortality rate per 10 000 vehicles and per 100 000 populations showed a decreasing trend, while the RTA-related mortality rate in Tibet, Qinghai, Xinjiang and Gansu remained high. Conclusions Major changes for road traffic in high-altitude provinces have occurred over the past decade; however, the RTA-related mortality rate in high-altitude provinces has remained high. This study furthers understanding about road traffic safety in China; further studies on road traffic safety at

  14. Preliminary study on alterations of altitude road traffic in China from 2006 to 2013.

    Science.gov (United States)

    Zhao, Hui; Yin, Zhiyong; Xiang, Hongyi; Liao, Zhikang; Wang, Zhengguo

    2017-01-01

    Road traffic can play an important role in strengthening regional economic activities, especially at high altitude, and it is necessary to know important traffic-related information. Although previous studies reported on road traffic in China, there has been little research on high-altitude road traffic to date. The annual official census of road traffic safety from 2006 to 2013 was used to obtain data on the general population, registered drivers, registered vehicles, newly built roads, road traffic accidents (RTAs), mortality rate per 100 000 populations and per 10 000 vehicles in high-altitude provinces, including Tibet, Qinghai, Xinjiang, Gansu, Yunnan, Sichuan, and Chongqing. These provincial data were reviewed retrospectively, with the national data as the reference. Statistical analysis (i.e., t test) was used to compare the estimated average annual change rate of population, number of registered drivers, registered vehicles, and newly built roads in high-altitude provinces with the national rates. Compared with the national data, there are significantly higher annual rates of population growth in Tibet and Xinjiang, registered drivers in Gansu, registered vehicles in Gansu, Sichuan, and Chongqing, and newly built roads in Tibet and Qinghai. Among the investigated provinces, Tibet, Qinghai, and Yunnan had a higher proportion of the roads with the high class. RTAs and RTA-induced casualties in the high-altitude provinces indicated a decreasing trend. The mortality rate per 10 000 vehicles and per 100 000 populations showed a decreasing trend, while the RTA-related mortality rate in Tibet, Qinghai, Xinjiang and Gansu remained high. Major changes for road traffic in high-altitude provinces have occurred over the past decade; however, the RTA-related mortality rate in high-altitude provinces has remained high. This study furthers understanding about road traffic safety in China; further studies on road traffic safety at high altitude should be performed.

  15. Modeling accident frequency in Denmark for improving road safety

    DEFF Research Database (Denmark)

    Lyckegaard, Allan; Hels, Tove; Kaplan, Sigal

    Traffic accidents result in huge costs to society in terms of death, injury, lost productivity, and property damage. The main objective of the current study is the development of an accident frequency model that predicts the expected number of accidents on a given road segment, provided the infra......Traffic accidents result in huge costs to society in terms of death, injury, lost productivity, and property damage. The main objective of the current study is the development of an accident frequency model that predicts the expected number of accidents on a given road segment, provided...... concerning police recorded accidents, link characteristics of the road network, traffic volumes from the national transport models are merged to estimate the model. Spatial correlation between road sections is taken into account for correcting for unobserved correlation between contiguous locations....

  16. Simulation Model of Traffic Jam at Crossroads

    OpenAIRE

    Mladen Kalajžić; Katica Miloš; Mirela Muić

    2002-01-01

    Traffic congestion is one of the major problems in most cities.It is the consequence of unavoidable motorization, butalso, in many cases, of improper solutions considering constructionof roads or organisation of traffic.This paper deals with one problematic crossroad in thetown of Zadar in which traffic jams occur due to poor organisationof traffic. Using mathematical simulation, the first partproves that traffic jams will certainly occur, and in the secondpart, crossroads signalling is consi...

  17. Sociological histories on epilepsy as "causes for disqualification" stipulated in the Japanese Road Traffic Act of 1960 and Revised Road Traffic Act of 2001.

    Science.gov (United States)

    Imataka, G; Yoshihara, S

    2017-07-01

    In the wake of successive cases of fatal accidents caused by patients behind the wheel whose driving was likely to be hindered due to paroxysmal diseases, including epilepsy, there has been an outcry from victims demanding stricter criminal penalties against the perpetrators due to negligence. As a result of this action, a revised Road Traffic Act was put into effect in Japan on June 14, 2013. This act established new penal provisions against any person who provides false statements on his/her medical condition(s) when acquiring or renewing a driver's license. In this paper, the social circumstances will be introduced regarding road traffic in Japan when the Road Traffic Act, the origin of today's revised Road Traffic Act, was enacted in 1960. An overview of the reasons behind the enactment of the original act will be provided. Additionally, the handling of patients with "provisions for disqualification," whose driving is likely to be hindered due to paroxysmal diseases, including "epilepsy," will be reviewed. This handling attracted repeated controversy during the enactment of the original act and will also be reviewed. One significant change in wording from "absolute causes for disqualification" in the Road Traffic Act of 1960 to "relative causes for disqualification" in the Revised Road Traffic Act of 2001 also will be discussed from a medical sociology perspective. Finally, the social status and socio-economic position of drivers with paroxysmal diseases, as it pertains to influences on lawmakers, will be discussed.

  18. Mortality from road traffic accidents in a rapidly urbanizing Chinese city: A 20-year analysis in Shenzhen, 1994-2013.

    Science.gov (United States)

    Xie, Shao-Hua; Wu, Yong-Sheng; Liu, Xiao-Jian; Fu, Ying-Bin; Li, Shan-Shan; Ma, Han-Wu; Zou, Fei; Cheng, Jin-Quan

    2016-01-01

    This study aimed to describe the trends of motorization and mortality rates from road traffic accidents and examine their associations in a rapidly urbanizing city in China, Shenzhen. Using data from the Shenzhen Deaths Registry between 1994 and 2013, we calculated the annual mortality rates of road traffic accidents, in addition to the age- and sex-specific mortality rates and their annual percentage changes (APCs) for the period of 2000-2013. We also examined the associations between mortality rate of road traffic accidents and traffic growth with Spearman's rank correlation analysis and a log-linear model derived from Smeed's law. A total of 20,196 deaths due to road traffic accidents, including 14,391 (71.3%) male deaths and 5,805 (28.7%) female deaths, were recorded in Shenzhen from 1994 to 2013. The annual mortality rates in terms of deaths per population and deaths per vehicle changed in similar patterns, demonstrating an increase since 1994 and peaking in 1997, followed by a steady decrease thereafter. The decrease in mortality was faster in individuals aged 20 year or older compared to those younger than 20 years. The mortality rates in term of deaths per population were positively correlated with the total number of vehicles per kilometer of road but negatively correlated with the motorization rate in term of vehicles per population. The estimated model for deaths due to road traffic accidents in relation to the total population and the number of registered vehicles was ln (deaths/10,000 vehicles) = -1.902 × ln (vehicles/population) - 1.961. The coefficient was statistically significant (P road traffic accidents in a rapidly urbanizing Chinese city based observations in the 20-year period from 1994 to 2013. The decreased mortality rate may be explained by the expansion of road network construction, improved road safety regulations and management, as well as more accessible ambulance services in recent years. Nevertheless, road traffic accidents remain

  19. Practical Aspects Regarding Conditions of Closing Traffic and Setting Traffic Restrictions for Both the Execution of Works in Public Roads Area and/or the Protection of Roads

    Directory of Open Access Journals (Sweden)

    Tudor Vasile

    2017-12-01

    Full Text Available Institutions and authorities involved in organizing, structuring and signaling traffic are represented, on one hand, by the Romanian Police through its structures of traffic police as the main body with responsibilities in the field and, on the other, by the administrators of public roads depending on material and territorial competence.

  20. Decomposing the decoupling of Danish road freight traffic growth and economic growth

    DEFF Research Database (Denmark)

    Kveiborg, Ole; Fosgerau, Mogens

    2007-01-01

    In recent years many European countries have seen a decoupling of the growth in road freight traffic (vehicle kilometres) from economic growth. A similar decoupling has not been observed in road freight transport (tonne kilometres). In this paper the historical growth in national Danish road...... freight traffic and transport is attributed to causes using a Divisia, index decomposition method. It is demonstrated that overall road freight traffic growth is a consequence of often opposite pointing growth effects in the underlying factors. The observed decoupling of road freight traffic growth from...... economic growth is mainly the result of use of larger vehicles, increasing average loads, and less empty running. Growth in road freight transport is primarily caused by growth in production. A decrease in the number of tons lifted per tonne produced (the handling factor) is offset by an increase...

  1. The Epidemiology of Fatal road traffic Collisions in Trinidad and Tobago, West Indies (2000–2011

    Directory of Open Access Journals (Sweden)

    Chavin D. Gopaul

    2016-11-01

    Full Text Available Summary of what was known• Few studies on road traffic collisions conducted in Latin American and the Caribbean region• Increasing car ownership within the region• Lack of seatbelt usage in Trinidad• Most accidents are associated with alcohol usage• High mortality among pedestriansSummary of what this study adds• Most collisions occur at night• Most collisions occur at weekends• Collisions are evenly distributed throughout the year• More males than females die in fatal collisions• The most productive age group (15–44 is affected the most• More drivers than pedestrians are affected• Reflects the pattern of developed rather than developing countries with respect to time of day for RTCs Background: The purpose of the study is to determine the epidemiology of road traffic collisions (RTCs in Trinidad and Tobago by characterizing RTCs in terms of number of collisions, fatalities, victim profiles, and locations for the purpose of informing accident prevention programs. Previous studies of RTCs in Trinidad and Tobago were primarily concerned with patterns of drivers use of seat belts, road collisions as a cause of mortality in young men, and the economic burden of road collisions. Attempts were made to model road fatalities, but limited epidemiological data meant that it was difficult to determine trends or develop models. Methods: This study determined the epidemiology of RTCs in Trinidad and Tobago over the period 2000–2011using data collected by the Trinidad and Tobago Road Traffic Branch of the Police Service and secondary data from the Central Statistical Office. Data were analyzed using Excel, SPSS, and R statistical packages. Results: Fatalities were greater among men (80% than among women (20% and were highest on two major freeways in Trinidad [the Churchill–Roosevelt Highway and the Sir Solomon Hochoy Highway]. Most collisions occurred during the night among individuals between the ages of

  2. Analysis of factors associated with traffic injury severity on rural roads in Iran.

    Science.gov (United States)

    Kashani, Ali Tavakoli; Shariat-Mohaymany, Afshin; Ranjbari, Andishe

    2012-01-01

    Iran is a country with one of the highest rates of traffic crash fatality and injury, and seventy percent of these fatalities happen on rural roads. The objective of this study is to identify the significant factors influencing injury severity among drivers involved in crashes on two kinds of major rural roads in Iran: two-lane, two-way roads and freeways. According to the dataset, 213569 drivers were involved in rural road crashes in Iran, over the 3 years from 2006 to 2008. The Classification And Regression Tree method (CART) was applied for 13 independent variables, and one target variable of injury severity with 3 classes of no-injury, injury and fatality. Some of the independent variables were cause of crash, collision type, weather conditions, road surface conditions, driver's age and gender and seat belt usage. The CART model was trained by 70% of these data, and tested with the rest. It was indicated that seat belt use is the most important safety factor for two-lane, two-way rural roads, but on freeways, the importance of this variable is less. Cause of crash, also turned out to be the next most important variable. The results showed that for two-lane, two-way rural roads, "improper overtaking" and "speeding", and for rural freeways, "inattention to traffic ahead", "vehicle defect", and "movement of pedestrians, livestock and unauthorized vehicles on freeways" are the most serious causes of increasing injury severity. The analysis results revealed seat belt use, cause of crash and collision type as the most important variables influencing the injury severity of traffic crashes. To deal with these problems, intensifying police enforcement by means of mobile patrol vehicles, constructing overtaking lanes where necessary, and prohibiting the crossing of pedestrians and livestock and the driving of unauthorized vehicles on freeways are necessary. Moreover, creating a rumble strip on the two edges of roads, and paying attention to the design consistency of

  3. Bilateral Carotid Artery Dissection after High Impact Road Traffic Accident

    Directory of Open Access Journals (Sweden)

    Michael Kelly

    2008-11-01

    Full Text Available A 58 year old man was involved in a high impact road traffic incident and was admitted for observation. Asymptomatic for the first 24 hours, he collapsed with symptoms and signs consistent with a cerebrovascular accident. Computed tomography angiogram (CTA and Magnetic resonance angiogram (MRA demonstrated bilateral internal carotid artery dissections and a left middle cerebral artery infarct. It was not considered appropriate to attempt stenting or other revascularistation. The patient was treated with heparin prior to starting warfarin. He made a partial recovery and was discharged to a rehabilitation facility. This case is a reminder of carotid dissection as an uncommon but serious complication of high speed motor vehicle accident, which may be silent initially. Literature Review suggests risk stratification before relevant radiological screening at risk patients. Significant advances in CTA have made it the diagnostic tool of choice, but ultrasound is an important screening tool.

  4. Road safety and bicycle usage impacts of unbundling vehicular and cycle traffic in Dutch urban networks

    NARCIS (Netherlands)

    Schepers, Paul; Heinen, Eva; Methorst, Rob; Wegman, Fred

    2013-01-01

    Bicycle-motor vehicle crashes are concentrated along distributor roads where cyclists are exposed to greater volumes of high-speed motorists than they would experience on access roads. This study examined the road safety impact of network-level separation of vehicular and cycle traffic in Dutch

  5. Exploring the relationship between development and road traffic injuries: a case study from India.

    Science.gov (United States)

    Garg, Nitin; Hyder, Adnan A

    2006-10-01

    Road traffic injuries (RTI) are a major cause of mortality and disability in the world. Only after significant losses have communities in developed nations taken necessary steps to prevent crashes and their consequences. Increase in road safety is related to increasing socio-economic development. We aim to study the trends in injury and death rates in a developing country, India, define sub-national variations, and analyse these trends in relation to economic and population growth. Public sector data from India were used to develop a standardized database on traffic injuries and indicator of economic development. The data were analysed using linear regression models to test the a priori hypothesis of a positive relationship between net domestic product (NDP), and injury and death rates from road crashes across states. The absolute burden of RTI in India has been consistently rising over the past three decades. The reported rates are lower than those estimated by global health agencies and may reflect under-reporting. Population-based rates provide a better assessment of the public health burden of RTI than vehicle-based rates. There is an inverted U-shaped relationship between NDP and injury and death rates. Even with the limited data, Kuznets phenomenon is evident for within-country level comparisons. India and other developing countries could learn from the experience of highly motorized nations to avoid the expected rise in RTI and deaths with economic development, by currently investing in road safety and prevention measures.

  6. Exposure to air pollution and noise from road traffic and risk of congenital anomalies in the Danish National Birth Cohort

    DEFF Research Database (Denmark)

    Pedersen, Marie; Garne, Ester; Hansen-Nord, Nete

    2017-01-01

    Background: Ambient air pollution has been associated with certain congenital anomalies, but few studies rely on assessment of fine-scale variation in air quality and associations with noise from road traffic are unexplored. Methods: Among 84,218 liveborn singletons (1997–2002) from the Danish...... National Birth Cohort with complete covariate data and residential address history from conception until birth, we identified major congenital anomalies in 4018 children. Nitrogen dioxide (NO2) and noise from road traffic (Lden) burden during fetal life was modeled. Outcome and covariate data were derived...... from registries, hospital records and questionnaires. Odds ratios (ORs) for eleven major anomaly groups associated with road traffic pollution during first trimester were estimated using logistic regression with generalized estimating equation (GEE) approach. Results: Most of the associations tested...

  7. Road traffic crashes among farm vehicle drivers in southern China: A cross-sectional survey.

    Science.gov (United States)

    Zhang, Xujun; Yang, Yaming; Chen, Yu; Yao, Hongyan; Wu, Ming; Cui, Mengjing; Li, Yang; Hu, Jie; Zhang, Cong; Li, Zhen; Stallones, Lorann; Xiang, Huiyun

    2017-01-02

    The objective of this study was to identify the prevalence and potential risk factors of farm vehicle-related road traffic crashes among farm vehicle drivers in southern China. A cross-sectional study was used to interview 1,422 farm vehicle drivers in southern China. Farm vehicle-related road traffic crashes that occurred from December 2013 to November 2014 were investigated. Data on farm vehicle-related road traffic crashes and related factors were collected by face-to-face interviews. The prevalence of farm vehicle-related road traffic crashes among the investigated drivers was 7.2%. Farm vehicle-related road traffic crashes were significantly associated with self-reported vision problem (adjusted odds ratio [AOR] = 6.48, 95% confidence interval [CI], 3.86-10.87), self-reported sleep disorders (AOR = 10.03, 95% CI, 6.28-15.99), self-reported stress (AOR = 20.47, 95% CI, 9.96-42.08), reported history of crashes (AOR = 5.40, 95% CI, 3.47-8.42), reported history of drunk driving (AOR = 5.07, 95% CI, 2.97-8.65), and reported history of fatigued driving (AOR = 5.72, 95% CI, 3.73-8.78). The number of road traffic crashes was highest in the daytime and during harvest season. In over 96% of farm vehicle-related road traffic crashes, drivers were believed to be responsible for the crash. Major crash-causing factors included improper driving, careless driving, violating of traffic signals or signs, and being in the wrong lane. Findings of this study suggest that farm vehicle-related road traffic crashes have become a burgeoning public health problem in China. Programs need to be developed to prevent farm vehicle-related road traffic crashes in this emerging country.

  8. Overload road damage model

    CSIR Research Space (South Africa)

    Roux, MP

    2005-03-01

    Full Text Available Not only do overloaded vehicles pose an increased safety risk on the road (reduced stability and braking efficiency etc.), but they also accelerate the rate of deterioration of the road network and increase road maintenance costs, which in turn...

  9. Reminder: Alcohol abuse, road traffic and safety on the site

    CERN Multimedia

    HSE Unit

    2011-01-01

    You are reminded that: - the legal blood alcohol limit in force under the Host States’ traffic regulations (0.5 g per 1000 ml of blood) also applies on the CERN site; - the consumption of alcohol is forbidden during working hours and is only tolerated in the restaurants at certain times, unless an exception is granted for special events (Operational Circular No. 8); - failure to observe these rules may result in disciplinary action by the Organization, independently of any sanctions that may be applicable pursuant to the road traffic regulations of the Host State concerned. Furthermore, the Reception and Access Control Service, the site guards and the Fire Brigade have been instructed to stop any driver in an obvious state of intoxication and to ask him/her to abandon the vehicle on the spot. In case of disagreement, they may also suggest that he/she submits to a voluntary blood alcohol level test at the CERN Medical Service or Fire Brigade. They will also stop and question any obviously intoxicate...

  10. [Analysis of road traffic injuries in Mexican cyclists].

    Science.gov (United States)

    Muro-Báez, Victoria Alejandra; Mendoza-García, M Eulalia; Vera-López, Juan Daniel; Pérez-Núñez, Ricardo

    2017-01-01

    With the objective of analyzing fatal and non-fatal road traffic injuries in cyclists and to document helmet use in this road user to inform sustainable mobility policies, a descriptive analysis of four secondary official information sources was conducted at the national level: mortality, Ministry of Health's hospital discharges, Unintentional and Violence Registry System (SIS-SS-17-P) and the 2012 National Health and Nutrition Survey (ENSANUT). Only SIS-SS-17-P and ENSANUT document helmet use. Except for ENSANUT information analyzed is of 2014.A total of 190 cyclists died in Mexico during 2014 and 392 were hospitalized; head was the anatomical region most frequently affected (63% and 32%, respectively). Only 0.75% of the 667 cases registered in SIS-17 reported helmet use and 24% suffered head injuries. Of the 165,348 non-fatally injured cyclists from ENSANUT <10% used helmet, 24% had head injuries and more than 16,000 suffered permanent injuries. Whereas cyclist-friendly infrastructure is an effective intervention to prevent injuries in the long term, helmet use could potentially reduce the frequency and severity of head injuries in the short run while bicycle use widespread as a means of transportation providing "safety in numbers".

  11. Visual impairment and road traffic accidents among drivers in Jimma Town, Southwest Ethiopia.

    Science.gov (United States)

    Biza, Mohamed; Mossie, Andualem; Woldemichael, Kifle; Gelaw, Yeshigeta

    2013-04-01

    Vision play a vital role in driving where good and efficient visual functioning of the driver is essential. Any significant loss of visual function will diminish a driver's ability to operate a motor vehicle safely and will thus contribute to road traffic injury. However, there is little evidence indicating that defects of vision alone cause road traffic accidents. To determine the impact of visual impairment and other factors on road traffic accident among vehicle drivers. A cross-sectional descriptive study was conducted on 249 sampled drivers in Southwest Ethiopia. A pretested interviewer led questionnaire was used for interview and vision tests were done using Snellen's acuity chart and Ishihara pseudo-isochromatic plates. Statistical analyses were performed using SPSS version 16.0. The mean age of drivers was 33.6 years (SD +/- 10.3). The relative frequency of self reported road traffic accident was 15.3%. The prevalence of uncorrected binocular visual impairment was 1.6% and there was a significant association between visual impairment and road traffic accident (P Color vision impairment was seen in 1.6% of the drivers. A significant proportion (9.6%) of the drivers did not have eye exam for their driving license. Uncorrected binocular visual impairment was strongly associated with road traffic accident. There is need for consistent inspection and screening, strict rules and regulations of licensing and health education for drivers to minimize road traffic accident.

  12. Alcohol-related road traffic accidents before and after the passing of the Road Traffic Safety Act in Croatia.

    Science.gov (United States)

    Missoni, Eduard; Bozić, Boris; Missoni, Ivan

    2012-12-01

    The aim of this study was to gather enough data in order to formulate theory- and research-based recommendations to policy makers with the intention of decreasing the number of alcohol-related accidents and victims on Croatian roads. The data on the injured traffic participants and the share of participants under the influence of alcohol were collected from the police reports of the Traffic Police Department, Ministry of the Interior, written at the scene of the respective accidents. This documentation was then processed by descriptive epidemiology and analysed through a four-year period, before and after the passing of the New Road Traffic Safety Act in the Republic of Croatia, on 20 August 2004. In the first six months of 2005, after the passing of the Act, there were 3,275 accidents caused by the motorists under the influence of alcohol (12.5% of all the accidents), with 64 persons killed. Only 5 fatalities (8%) were caused by the drivers with measured blood alcohol concentration of up to 0.5 per thousand. As much as 27 fatalities (42%) were caused by the drivers with measured more than 1.5 per thousand, while half of the fatalities, 32 (50%), were caused by drivers with 0.5-1.5 per thousand. In this period, more than 451,000 violations were recorded, whereas in the same period of the previous year, the number of violations was about 519,000. A reduction of the total number of accidents is the result of the new regulation provision, according to which the incidents without human victims do not have to be reported to the police. The number of traffic accidents caused by drivers under the influence of alcohol had increased by some dozen per cents, namely: 2005 - 6,219 persons, 2006- 6,590 persons, noting that in 2006 one less person was killed (123) compared to 2005. In 2005, drivers with alcohol concentration of 0-0.5 per thousand caused 1,096 accidents, with 14 fatalities, whereas in 2006 there were 1,164 accidents with 9 fatalities. A total of 2,314 accidents

  13. Road traffic injuries among middle school students in a rural area of China.

    Science.gov (United States)

    Jaung, Michael S; Yu, Songlin; Stallones, Lorann; Xiang, Huiyun

    2009-06-01

    Injuries resulting from road traffic crashes are a major and growing public health problem worldwide, disproportionately affecting vulnerable road users in developing countries. However, research on road traffic injuries in developing countries has been limited. We studied road traffic injuries among middle school students in a rural area of China. We surveyed 1551 students in Hunan province using a hard-copy survey questionnaire. The survey was conducted at two middle schools with the cooperation of teachers and school officials. The questionnaire gathered data including sociodemographics, school activities, and sleep patterns along with road traffic injuries among middle students during a 3-month recall period in 2006. Road traffic injuries were defined as injuries incurred as a result of a road traffic collision involving at least one vehicle in motion on a public or private road that resulted in at least one person being injured. There were 56 road traffic injuries reported by the surveyed students yielding a rate of 3.6 percent over the 3-month period. The greatest percentage of those injuries involved a motorcycle (80%). Nearly two fifths of injuries resulted in a period of activity restriction lasting one day or more (39%). The multivariable logistic regression analysis indicated that there were statistically significant associations between the assignment of extra homework by parents (odds ratio [OR] = 3.78, 95% confidence intervals [CI] = 1.49-9.60, p-value academic performance (OR = 2.18, 95% CI = 1.18-4.02, p-value sleep disturbance were identified as possible risk factors for road traffic injuries among students in a rural area of China. Further research is warranted in order to develop prevention strategies to address these preventable injuries.

  14. Deadly Rural Road Traffic Injury: A Rising Public Health Concern in I.R. Iran

    OpenAIRE

    Ardalan, Ali; Sepehrvand, Nariman; Pourmalek, Farshad; Masoumi, Gholamreza; Sarvar, Mohamad; Mahmoudabadi, Abbas; Rezaie, Anita

    2014-01-01

    Background: The 5 th Iran National Development Plan, 2011-2015, has emphasized on expansion of rural asphalt roads. This article aims to illustrate the trend of deaths caused by rural road traffic crashes (RTCs) and its association with length of the rural roads in Iran. Methods: We carried out a retrospective analysis on secondary data for the period from 2005 to 2010. The Iranian Forensic Medicine Organization, High Commission for Road Safety and Iran′s Statistical Center were the sourc...

  15. Effects of Roads and Traffic on Wildlife Populations and Landscape Function: Road Ecology is Moving toward Larger Scales

    Directory of Open Access Journals (Sweden)

    Rodney van der Ree

    2011-03-01

    Full Text Available Road ecology has developed into a significant branch of ecology with steady growth in the number of refereed journal articles, books, conferences, symposia, and "best practice" guidelines being produced each year. The main objective of this special issue of Ecology and Society is to highlight the need for studies that document the population, community, and ecosystem-level effects of roads and traffic by publishing studies that document these effects. It became apparent when compiling this special issue that there is a paucity of studies that explicitly examined higher order effects of roads and traffic. No papers on landscape function or ecosystem-level effects were submitted, despite being highlighted as a priority for publication. The 17 papers in this issue, from Australia, Canada, the Netherlands, and USA, all deal to some extent with either population or community-level effects of roads and traffic. Nevertheless, many higher order effects remain unquantified, and must become the focus of future studies because the complexity and interactions among the effects of roads and traffic are large and potentially unexpected. An analysis of these complex interrelations requires systematic research, and it is necessary to further establish collaborative links between ecologists and transportation agencies. Many road agencies have "environmental sustainability" as one of their goals and the only way to achieve such goals is for them to support and foster long-term and credible scientific research. The current situation, with numerous small-scale projects being undertaken independently of each other, cannot provide the information required to quantify and mitigate the negative effects of roads and traffic on higher levels. The future of road ecology research will be best enhanced when multiple road projects in different states or countries are combined and studied as part of integrated, well-replicated research projects.

  16. Opportunities for knowledge translation in the decade of road traffic safety.

    Science.gov (United States)

    Della Rocca, Gregory J; Dunbar, Robert P; Burgess, Andrew R; Smith, Matthew J

    2014-01-01

    The United Nations has identified road traffic safety as an important objective for the decade 2011-2020. It has implemented a 5-tiered program: improving health care services, improving management of road safety, improving road network safety, improving vehicular safety, and improving road safety legislation. A small body of practical research has been generated by the medical and surgical (including orthopaedic) communities regarding the road traffic safety, but a substantial amount of work remains to be performed. This article will review published research in each of the 5 tiers of the Decade of Action for Road Traffic Safety and will identify areas where research is insufficient or absent, such that new research programming and funding can be developed.

  17. Best response game of traffic on road network of non-signalized intersections

    Science.gov (United States)

    Yao, Wang; Jia, Ning; Zhong, Shiquan; Li, Liying

    2018-01-01

    This paper studies the traffic flow in a grid road network with non-signalized intersections. The nature of the drivers in the network is simulated such that they play an iterative snowdrift game with other drivers. A cellular automata model is applied to study the characteristics of the traffic flow and the evolution of the behaviour of the drivers during the game. The drivers use best-response as their strategy to update rules. Three major findings are revealed. First, the cooperation rate in simulation experiences staircase-shaped drop as cost to benefit ratio r increases, and cooperation rate can be derived analytically as a function of cost to benefit ratio r. Second, we find that higher cooperation rate corresponds to higher average speed, lower density and higher flow. This reveals that defectors deteriorate the efficiency of traffic on non-signalized intersections. Third, the system experiences more randomness when the density is low because the drivers will not have much opportunity to update strategy when the density is low. These findings help to show how the strategy of drivers in a traffic network evolves and how their interactions influence the overall performance of the traffic system.

  18. Roads and traffic: Effects on ecology and wildlife habitat use; applications for cooperative adaptive management

    Science.gov (United States)

    Ouren, Douglas S.; Watts, Raymond D.

    2005-01-01

    The land of the United States in dissected by more than 4 million miles of roads that fragment wildlife habitat on both public and private lands. Traffic on these roads causes additional effects. On secondary roads, which provide access to the most natural habitat, the levels, timing, and types of traffic are seldom known. In order to understand the effects of traffic on wildlife, USGS is conducting research cooperatively with the Bureau of Land Management, the U.S. Forest Service, the National Park Service, and the Colorado Division of Wildlife.

  19. Simulation Model of Traffic Jam at Crossroads

    Directory of Open Access Journals (Sweden)

    Mladen Kalajžić

    2002-11-01

    Full Text Available Traffic congestion is one of the major problems in most cities.It is the consequence of unavoidable motorization, butalso, in many cases, of improper solutions considering constructionof roads or organisation of traffic.This paper deals with one problematic crossroad in thetown of Zadar in which traffic jams occur due to poor organisationof traffic. Using mathematical simulation, the first partproves that traffic jams will certainly occur, and in the secondpart, crossroads signalling is considered as a possible solutionwhich, if combined with intelligent control could significantlyimprove the organisation of traffic at this crossroads.

  20. Modelling Traffic Flows Using Graph Theory

    Directory of Open Access Journals (Sweden)

    Oksana Musyt

    2011-04-01

    Full Text Available An intensive increase in road transport, particularly individual, in recent years has led to such consequences as increased time spent on travel, the number of forced stops, traffic accidents, the occurrence of traffic jams on the road network, reducing traffic speed and a deteriorated urban road network in cities. The most effective method for solving these problems is the use of graph theory, the main characteristics of which is reliability, durability and accessibility of a free as well as loaded network. Based on their analysis the methods for network optimization are proposed.Article in Russian

  1. A New Macro Model for Traffic Flow on a Highway with Ramps and Numerical Tests

    International Nuclear Information System (INIS)

    Tang Tieqiao; Huang Haijun; Zhang Ying; Wong, S.C.; Gao Ziyou

    2009-01-01

    In this paper, we present a new macro model for traffic flow on a highway with ramps based on the existing models. We use the new model to study the effects of on-off-ramp on the main road traffic during the morning rush period and the evening rush period. Numerical tests show that, during the two rush periods, these effects are often different and related to the status of the main road traffic. If the main road traffic flow is uniform, then ramps always produce stop-and-go traffic when the main road density is between two critical values, and ramps have little effect on the main road traffic when the main road density is less than the smaller critical value or greater than the larger critical value. If a small perturbation appears on the main road, ramp may lead to stop-and-go traffic, or relieve or even eliminate the stop-and-go traffic, under different circumstances. These results are consistent with real traffic, which shows that the new model is reasonable.

  2. Stochastic evolutions of dynamic traffic flow modeling and applications

    CERN Document Server

    Chen, Xiqun (Michael); Shi, Qixin

    2015-01-01

    This book reveals the underlying mechanisms of complexity and stochastic evolutions of traffic flows. Using Eulerian and Lagrangian measurements, the authors propose lognormal headway/spacing/velocity distributions and subsequently develop a Markov car-following model to describe drivers’ random choices concerning headways/spacings, putting forward a stochastic fundamental diagram model for wide scattering flow-density points. In the context of highway onramp bottlenecks, the authors present a traffic flow breakdown probability model and spatial-temporal queuing model to improve the stability and reliability of road traffic flows. This book is intended for researchers and graduate students in the fields of transportation engineering and civil engineering.

  3. Determinant of Road Traffic Crash Fatalities in Iran: A Longitudinal Econometric Analysis.

    Science.gov (United States)

    Rezaei, Satar; Bagheri Lankarani, Kamran; Karami Matin, Behzad; Bazyar, Mohammad; Hamzeh, Behrooz; Najafi, Farid

    2015-01-01

    Injuries and deaths from road traffic crashes are one of the main public health problems throughout the world. This study aimed to identify determinants of fatality traffic accident in Iran for the twenty-span year from 1991 to 2011. A time series analysis (1991-2011) was used to examine the effects of some of the key explanatory factors (GDP per capita, number of doctors per 10,000 populations, degree of urbanization, unemployment rate and motorization rate) on deaths from road traffic in Iran. In order to examine long- and short-run effects of variables, we employed autoregressive distributed lag (ARDL) approach and error correction method (ECM). The data for the study was obtained from the Central Bank of Iran (CBI), Iranian Statistical Center (ISC) and Legal medical organizations (LMO). GDP per capita, doctor per 10,000 populations, degree of urbanization and motorization rate had a significant impact on fatality from road traffic in Iran. We did not observe any short- and long-term effects of the unemployment rate on fatality from road traffic. GDP per capita, doctor per 10,000 populations, degree of urbanization and motorization rate were identified as main determinant of fatality from road traffic accidents in Iran. We hope the results of the current study enable health policy-makers to understand better the factors affecting deaths from road traffic accidents in the country.

  4. Solar hydrogen infrastructure of road and maritime traffic in Croatia

    International Nuclear Information System (INIS)

    Firak, M.

    2005-01-01

    In the next 10 to 20 years the world and national economy will be faced with the need to transition from traditional sources of primary energy (e.g., fossil fuels) to renewable energy resources, mainly solar and wind power. At the same time hydrogen will appear on the energy scene, so already today we discuss the coming 'Hydrogen Economy', i.e., the economy based on hydrogen use. Given such developments, the question is how and when Croatia will begin to keep up with this global scenario? One of possible answers is discussed in this paper. It starts with the fact that Croatia is a significant tourist destination, visited by 10 millions mainly motorized tourists a year. World Tourism Organization forecast the increase in foreign tourists' arrivals by 8.4 percent a year until 2020. More than 90 percent of tourists stay in the Adriatic coast and islands; 55 percent of them arrive in the two summer months. Hence, the visits occur mainly in the region where and during the season when solar energy is abundant. The other assumption is the so called Hart Report, a study addressing the introduction of hydrogen infrastructure in the European traffic road system. It projects the number of hydrogen-fueled vehicles on the roads of the EU until 2020. Based on these two assumptions estimated is the number of hydrogen-fueled vehicles that in this period could arrive to the Croatian coast and islands for which the hydrogen infrastructure should be provided. Since during the holiday season thousands of motorized vessels sail along the Croatian coast and islands and many of them have some of 'hydrogen options' installed, it will be an additional reason for development for hydrogen infrastructure on the islands. Considering the above the paper proposed the hydrogen infrastructure based on photo-voltaic technology of solar energy use and water electrolysis as hydrogen production technology. The suggestion is to connect these installations to the Croatian electricity production and

  5. Pattern of maxillofacial and associated injuries in road traffic accidents.

    Science.gov (United States)

    Akama, M K; Chindia, M L; Macigo, F G; Guthua, S W

    2007-06-01

    Road Traffic Accidents (RTAs) are a major cause of morbidity and mortality in Kenya. Victims may suffer multiple injuries including maxillofacial injuries. In most developing countries RTAs are the leading cause of maxillofacial injuries. In an attempt to reduce RTAs, the government of Kenya has enacted a legislation requiring mandatory fitting of speed governors and safety belts by passenger service vehicles. To describe the characteristics and pattern of maxillofacial and associated injuries sustained in road traffic accidents. A cross-sectional study. Kenyatta National Hospital (KNH). All patients involved in RTAs brought to casualty and the dental department of KNH as well as accident victims admitted to the KNH mortuary over a four- month period from September 2004 to December 2004. Four hundred and thirteen (85.7%) had non-fatal injuries whereas 69 (14.3%) had sustained fatal injuries. Males in the 21-30-year age group were the most affected. Most accidents occurred during weekends with pedestrians being the leading casualties in 59.5% and 71.4% of non-fatal and fatal cases respectively. Most accidents were caused by passenger service vehicles (matatus) which were responsible for 62% and 40.6% of non-fatal and fatal injuries respectively. Non-use of safety belts was reported in 56.6% of the cases who suffered non-fatal injuries. In the non-fatal category 89.6% of the casualties had soft tissue injuries (STIs) involving the craniofacial region with facial cuts being the majority (69.2%). Two hundred and seventy three (66.1%) incidents of other STIs than those of the head region were noted, the lower limbs accounting for 45.4% of these. Only 5.1% of the casualties with non-fatal injuries had fractures involving the maxillofacial skeleton. Skeletal injuries other than those involving the maxillofacial region were found in 142 (34.1%) incidents. In the fatal category head injury alone was the leading cause of death accounting for 37.7% of the cases followed by

  6. Road traffic accidents in children: the 'what', 'how' and 'why'.

    Science.gov (United States)

    Lee, Yue Yen; Fang, Eric; Weng, Yanyi; Ganapathy, Sashikumar

    2017-12-07

    Road traffic accidents (RTAs) in Singapore involving children were evaluated, with particular focus on the epidemiology, surrounding circumstances and outcomes of these accidents. Key factors associated with worse prognosis were identified. We proposed some measures that may be implemented to reduce the frequency and severity of such accidents. This was a retrospective study of RTAs involving children aged 0-16 years who presented to the Children's Emergency at KK Women's and Children's Hospital, Singapore, from January 2011 to June 2014. Data was obtained from the National Trauma Registry and analysed in tiers based on the Injury Severity Score (ISS). 1,243 accidents were reviewed. RTA victims included motor vehicle passengers (60.4%), pedestrians (28.5%), cyclists (9.9%) and motorbike pillion riders (1.2%). Disposition of emergency department (ED) patients was consistent with RTA severity. For serious RTAs, pedestrians accounted for 63.6% and 57.7% of tier 1 (ISS > 15) and tier 2 (ISS 9-15) presentations, respectively. Overall use of restraints was worryingly low (36.7%). Not restraining increased the risk of serious RTAs by 8.4 times. Young age, high ISS and low Glasgow Coma Scale score predicted a longer duration of intensive care unit stay. The importance of restraints for motor vehicle passengers or helmets for motorcyclist pillion riders and cyclists in reducing morbidity cannot be emphasised enough. Suggestions for future prevention and intervention include road safety education, regulation of protective restraints, use of speed enforcement devices and creation of transport policies that minimise kerbside parking.

  7. Self-organized natural roads for predicting traffic flow: a sensitivity study

    International Nuclear Information System (INIS)

    Jiang, Bin; Zhao, Sijian; Yin, Junjun

    2008-01-01

    In this paper, we extended road-based topological analysis to both nationwide and urban road networks, and concentrated on a sensitivity study with respect to the formation of self-organized natural roads based on the Gestalt principle of good continuity. Both annual average daily traffic (AADT) and global positioning system (GPS) data were used to correlate with a series of ranking metrics including five centrality-based metrics and two PageRank metrics. It was found that there exists a tipping point from segment-based to road-based network topology in terms of correlation between ranking metrics and their traffic. To our great surprise, (1) this correlation is significantly improved if a selfish rather than utopian strategy is adopted in forming the self-organized natural roads, and (2) point-based metrics assigned by summation into individual roads tend to have a much better correlation with traffic flow than line-based metrics. These counter-intuitive surprising findings constitute emergent properties of self-organized natural roads, which are intelligent enough for predicting traffic flow, thus shedding substantial light on the understanding of road networks and their traffic from the perspective of complex networks

  8. Road Safety Data, Collection, Transfer and Analysis DaCoTa. Workpackage 4, Decision Support: Deliverable 4.2: Forecasting road traffic fatalities in European countries : model definition and first results.

    NARCIS (Netherlands)

    Broughton, J. Knowles, J. Bijleveld, F.D. Commandeur, J. Antoniou, C. Papadimitriou, E. Yannis, G. Lassarre, S. Dupont, E. Martensen, H. Hermans, E. Bartolome, J. Giustianni, G. Shingo, D. & Perez, C. & Martensen, H. & Dupont, E. (Eds.)

    2012-01-01

    The aim of WP4 is to bridge the gap between research and policy to enable knowledge-based road safety management. To support road safety decision makers, this Work Package will: (1) exploit the data available for analysis by providing forecasts of the road safety situation in the different member

  9. Strategies for prevention of road traffic injuries (RTIs) in Pakistan: situational analysis.

    Science.gov (United States)

    Khan, Adeel Ahmed; Fatmi, Zafar

    2014-05-01

    Road traffic injuries (RTIs) are one of the leading causes of death among productive age group. Using systems approach framework (SAF), current preventive strategies for RTI control were reviewed in Pakistan. A review of the literature was done using four international search engines. Only ten studies on preventive strategies for RTI stemming from Pakistan were found. The first Road Traffic Injuries Research Network (RTIRN) surveillance system for road traffic injuries was established in urban city (Karachi) in Pakistan has shown promise for injury control and should be scaled up to other cities. Enforcement of traffic laws on seat-belt and helmet wearing is poor. National Highway and Motorway Police Ordinance (2000) was one of the few legislative measure so far taken in Pakistan. Using SAF, efforts are required to implement interventions targeting human, vehicle design and also making environment safer for road users.

  10. Impact of road traffic pollution on pre-eclampsia and pregnancy-induced hypertensive disorders

    DEFF Research Database (Denmark)

    Pedersen, Marie; Halldorsson, Thorhallur I; Olsen, Sjurdur F

    2016-01-01

    BACKGROUND: Road traffic is a majorsource of air pollution and noise. Both exposures have been associated with hypertension in adults, but pregnant womenhave been less studied. METHODS: We examined single and joint effects of ambient air pollution and road traffic noise on preeclampsia and pregna......BACKGROUND: Road traffic is a majorsource of air pollution and noise. Both exposures have been associated with hypertension in adults, but pregnant womenhave been less studied. METHODS: We examined single and joint effects of ambient air pollution and road traffic noise on preeclampsia...... increase the risk of preeclampsia and hypertensive disorders in pregnancy through exposure to both ambient air pollution and noise, although associations with the two exposures were generally not found to be independent of one another. See video abstract, http://links.lww.com/EDE/B112...

  11. Burden of road traffic injuries in Nepal: results of a countrywide population-based survey.

    Science.gov (United States)

    Nepal, Sarthak; Gupta, Shailvi; Wong, Evan G; Gurung, Susant; Swaroop, Mamta; Kushner, Adam L; Nwomeh, Benedict C

    2015-04-27

    Road traffic injury has emerged as a leading cause of mortality, contributing to 2·1% of deaths globally and is predicted to be the third highest contributor to the global burden of mortality by 2020. This major public health problem disproportionately affects low-income and middle-income countries, where such incidents are too often underreported. Our study aims to explore the epidemiology of road traffic injurys in Nepal at a population level via a countrywide study. The Surgeons OverSeas Assessment of Surgical Need (SOSAS) tool, a cluster randomised, cross-sectional nationwide survey, was conducted in Nepal between May 25, and June 12, 2014. Two-stage cluster sampling was performed: 15 of 75 districts were chosen randomly proportional to population; within each district, after stratification for urban and rural, and three clusters were randomly chosen. Questions were structured anatomically and designed around a representative spectrum of surgical conditions. Road traffic injury-related results were reported. 1350 households and 2695 individuals were surveyed with a response rate of 97%. 75 road traffic injuries were reported in 72 individuals (2·67% [95% CI 2·10-3·35] of the study population), with a mean age of 33·2 years (SD 1·85). The most commonly affected age group was 30-44 years, with females showing significantly lower odds of sustaining a road traffic injury than men (crude odds ratio 0·29 [95% CI 0·16-0·52]). Road traffic injuries composed 19·8% of the injuries reported. Motorcycle crashes were the most common road traffic injuries (48·0%), followed by car, truck, or bus crashes (26·7%), and pedestrian or bicycle crashes (25·3%). The extremity was the most common anatomic site injured (74·7%). Of the 80 deaths reported in the previous year, 7·5% (n=6) were due to road traffic injuries. This study provides the epidemiology of road traffic injuries at a population-based level in the first countrywide surgical needs assessment in Nepal

  12. Road traffic fatalities in selected governorates of Iraq from 2010 to 2013: prospective surveillance.

    Science.gov (United States)

    Leidman, Eva; Maliniak, Maret; Sultan, Abdul-Salam Saleh; Hassan, Ahmed; Hussain, Syed Jaffar; Bilukha, Oleg O

    2016-01-01

    The insurgency tactics that characterize modern warfare, such as suicide car bombs and roadside bombs, have the potential to significantly impact road traffic injuries in conflict affected-countries. As road traffic incidents are one of the top ten causes of death in Iraq, changes in incidence have important implications for the health system. We aimed to describe patterns of road traffic fatalities for all demographic groups and types of road users in Iraq during a period characterized by a resurgence in insurgency activity. Iraqi Ministry of Health routine prospective injury surveillance collects information on all fatal injuries in eight governorates of Iraq: Baghdad, Al-Anbar, Basrah, Erbil, Kerbala, Maysan, Ninevah, and Al-Sulaimaniya. From all injury fatalities documented at the coroner office, we analyzed only those attributed to road traffic that occurred between 1 January 2010 and 31 December 2013. Coroners ascertain information from physical examinations, police reports and family members. Analysis included 7,976 road traffic fatalities. Overall, 6,238 (78.2 %) fatalities were male and 2,272 (28.5 %) were children under 18 years of age. The highest numbers of road traffic fatalities were among males 15 to 34 years of age and children of both sexes under 5 years of age. 49.2 % of fatalities occurred among pedestrians. Among children and females, the majority of road traffic fatalities were pedestrians, 69.0 % and 56.6 %, respectively. Fatalities among motorcyclists (3.7 %) and bicyclists (0.4 %) were least common. Rates of road traffic fatalities ranged from 8.6 to 10.7 per 100,000 population. The injury surveillance system provides the first data from a conflict-affected country on road traffic fatalities disaggregated by type of road user. The highest numbers of fatalities were among children and young men. Nearly half of fatalities were pedestrians, a proportion nearly double that of any neighboring country. As insurgency activity increased in

  13. [Road traffic deaths in children under the age of five in Colombia, 2005-2009].

    Science.gov (United States)

    Roncancio, Claudia Patricia; Misnaza, Sandra Patricia; Prieto, Franklyn Edwin

    2015-01-01

    Road traffic deaths have increased during the past years worldwide. During 2007, the mortality due to road traffic accidents in children under the age of five was 11.7 per 100,000 in Colombia. To describe the trend of road traffic deaths in children under the age of five in Colombia from 2005 to 2009. We conducted a cross - sectional study of death certificates in children under the age of five as registered in the official vital statistics records from 2005 to 2009 (ICD-10, codes V000-V999). We made a descriptive analysis, calculated mortality rates based on projections by the National Administrative Statistics Department and we established risk levels by provinces and municipalities (percentiles), as well as by conglomerates using Excel ® , PASW statistics18 ® and EpiInfo ® for the maps. All in all, 713 road traffic deaths occurred from 2005 to 2009 in children under the age of five corresponding to 0.8% of total deaths in that age group. The total number of road traffic deaths decreased from 2005 (159 deaths) to 2009 (136 deaths). The mean national death rate due to road traffic accidents was 3.3 per 100,000 with a higher rate among one to four year-old children (3.5/100,000) compared to children under the age of one (2.6/100,000). The highest prevalence of road traffic deaths was observed in January (9.7%) and July (10.6%). The provinces with the highest road traffic death rate were Meta, Boyacá, Arauca, Norte de Santander and Cundinamarca. Children were the group mostly affected by the event, which increased during school holidays and was more pronounced in tourist and commercial areas.

  14. Changing insurance company claims handling processes improves some outcomes for people injured in road traffic crashes

    OpenAIRE

    Schaafsma, Frederieke; De Wolf, Annelies; Kayaian, Areen; Cameron, Ian D

    2012-01-01

    Abstract Background Regaining good health and returning to work are important for people injured in road traffic crashes and for society. The handling of claims by insurance companies may play an important role in the rate at which health recovers and return to work is actually attained. Methods A novel approach towards claims handling for people injured in road traffic accidents was compared to the standard approach. The setting was a large insurance company (NRMA Insurance) in the state of ...

  15. 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.

  16. Impact on air quality of measures to reduce CO2 emissions from road traffic in Basel, Rotterdam, Xi'an and Suzhou

    NARCIS (Netherlands)

    Keuken, M.P.; Jonkers, S.; Verhagen, H.L.M.; Perez, L.; Truëb, S.; Okkerse, W.J.; Liu, J.; Pan, X.C.; Zheng, L.; Wang, H.; Xu, R.; Sabel, C.E.

    2014-01-01

    Two traffic scenarios to reduce CO2 emissions from road traffic in two European cities (Basel and Rotterdam) and two Chinese cities (Xi'an and Suzhou) were evaluated in terms of their impact on air quality. The two scenarios, one modelling a reduction of private vehicle kilometres driven by 10% on

  17. Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm

    Directory of Open Access Journals (Sweden)

    Li Wang

    2017-01-01

    Full Text Available Traffic congestion is a common problem in many countries, especially in big cities. At present, China’s urban road traffic accidents occur frequently, the occurrence frequency is high, the accident causes traffic congestion, and accidents cause traffic congestion and vice versa. The occurrence of traffic accidents usually leads to the reduction of road traffic capacity and the formation of traffic bottlenecks, causing the traffic congestion. In this paper, the formation and propagation of traffic congestion are simulated by using the improved medium traffic model, and the control strategy of congestion dissipation is studied. From the point of view of quantitative traffic congestion, the paper provides the fact that the simulation platform of urban traffic integration is constructed, and a feasible data analysis, learning, and parameter calibration method based on RBF neural network is proposed, which is used to determine the corresponding decision support system. The simulation results prove that the control strategy proposed in this paper is effective and feasible. According to the temporal and spatial evolution of the paper, we can see that the network has been improved on the whole.

  18. Public Health Profile of Road Traffic Accidents in Kosovo 2010-2015.

    Science.gov (United States)

    Ramadani, Naser; Zhjeqi, Valbona; Berisha, Merita; Hoxha, Rina; Begolli, Ilir; Salihu, Drita; Krasniqi, Pranvera

    2017-12-15

    To determine the characteristics of the Socio-medical profile of road traffic accidents in Kosovo, between 2010 and 2015 year. Retrospective study. A descriptive method based on the database of road traffic accidents from the National Police of Kosovo. In Kosovo for the period 2010-2015, on average, the yearly number of road traffic accidents is 18437 with mortality rate 7.4 per 100000 and lethality of 1.5%. The highest number of fatal cases are drivers and above 19 years old with more than 80%. Among injured significantly highest percentage is among passengers for all years and above 19 years old. Road traffic accident with a vehicle occurs most frequently, with approximately over 70%, mostly on dry road 72.9% and clear weather 71.1%. The driver is the contributing factors of road traffic accidents on average 99.3% whereas climatic conditions only 0.5%, with over 50% of crashes occurring in urban road 56.2%, mostly during Monday 16.0% and in the afternoon rush hours between 14.00-18.00 with 31.0%. There is a slight decrease in the mortality rate of 0.1‰ and lethality rate of 0.1% each year, whereas there is an increase of 21.5‰ for traumatism rate for each year.

  19. Modeling connected and autonomous vehicles in heterogeneous traffic flow

    Science.gov (United States)

    Ye, Lanhang; Yamamoto, Toshiyuki

    2018-01-01

    The objective of this study was to develop a heterogeneous traffic-flow model to study the possible impact of connected and autonomous vehicles (CAVs) on the traffic flow. Based on a recently proposed two-state safe-speed model (TSM), a two-lane cellular automaton (CA) model was developed, wherein both the CAVs and conventional vehicles were incorporated in the heterogeneous traffic flow. In particular, operation rules for CAVs are established considering the new characteristics of this emerging technology, including autonomous driving through the adaptive cruise control and inter-vehicle connection via short-range communication. Simulations were conducted under various CAV-penetration rates in the heterogeneous flow. The impact of CAVs on the road capacity was numerically investigated. The simulation results indicate that the road capacity increases with an increase in the CAV-penetration rate within the heterogeneous flow. Up to a CAV-penetration rate of 30%, the road capacity increases gradually; the effect of the difference in the CAV capability on the growth rate is insignificant. When the CAV-penetration rate exceeds 30%, the growth rate is largely decided by the capability of the CAV. The greater the capability, the higher the road-capacity growth rate. The relationship between the CAV-penetration rate and the road capacity is numerically analyzed, providing some insights into the possible impact of the CAVs on traffic systems.

  20. Clustering-based classification of road traffic accidents using hierarchical clustering and artificial neural networks.

    Science.gov (United States)

    Taamneh, Madhar; Taamneh, Salah; Alkheder, Sharaf

    2017-09-01

    Artificial neural networks (ANNs) have been widely used in predicting the severity of road traffic crashes. All available information about previously occurred accidents is typically used for building a single prediction model (i.e., classifier). Too little attention has been paid to the differences between these accidents, leading, in most cases, to build less accurate predictors. Hierarchical clustering is a well-known clustering method that seeks to group data by creating a hierarchy of clusters. Using hierarchical clustering and ANNs, a clustering-based classification approach for predicting the injury severity of road traffic accidents was proposed. About 6000 road accidents occurred over a six-year period from 2008 to 2013 in Abu Dhabi were used throughout this study. In order to reduce the amount of variation in data, hierarchical clustering was applied on the data set to organize it into six different forms, each with different number of clusters (i.e., clusters from 1 to 6). Two ANN models were subsequently built for each cluster of accidents in each generated form. The first model was built and validated using all accidents (training set), whereas only 66% of the accidents were used to build the second model, and the remaining 34% were used to test it (percentage split). Finally, the weighted average accuracy was computed for each type of models in each from of data. The results show that when testing the models using the training set, clustering prior to classification achieves (11%-16%) more accuracy than without using clustering, while the percentage split achieves (2%-5%) more accuracy. The results also suggest that partitioning the accidents into six clusters achieves the best accuracy if both types of models are taken into account.

  1. [Distribution trends and characteristics analysis of non-motor road traffic injury cases monitored in China, 2006-2013].

    Science.gov (United States)

    Yang, Chao; Duan, Leilei; Wang, Yuan; Ye, Pengpeng; Deng, Xiao; Jin, Ye; Er, Yuliang; Gao, Xin; Ji, Cuirong; Wang, Linhong

    2015-03-01

    To describe the distribution characteristics of outpatient/emergency cases of non-motor road traffic injuries in China from 2006-2013. Cases of non-motor road traffic injuries were descriptively analyzed based on their data at the sentinel hospitals of the Chinese National Injury Surveillance System (NISS) from 2006 to 2013. The proportion of non-motor road traffic injuries among the total road traffic injuries of the year from 2006 to 2011 was relatively stable, and the proportion in 2013 was higher than 2012 (χ² = 508.138, P road traffic injuries cases in 2013, male cases were higher than females (χ² = 41.018, P road traffic injuries cases (52.11%) was higher than rural areas (47.89%) (χ² = 88.427, P road traffic injuries among total road traffic injuries of the year as found from NISS remained stable from 2006 to 2011, with a slight rise in 2012-2013. Most of the non-motor road traffic injuries were suffered by young and middle aged men. Interventions should be made based on gender and age differences of non-motor road traffic injuries cases.

  2. Environmentally friendly traffic management system using integrated road-vehicle system

    NARCIS (Netherlands)

    Mahmod, M.M.; Arem, B. van

    2008-01-01

    Local habitability is coming under increasing pressure from harmful traffic emissions. This emission is strongly correlated to the characteristics and dynamics of traffic: type of vehicle, speed, acceleration and deceleration. This paper investigates the use of integrated road-vehicle systems for

  3. Question of road traffic congestion and de-congestion in the Greater Johannesburg area: some perspectives

    CSIR Research Space (South Africa)

    Chakwizira, J

    2007-07-01

    Full Text Available This paper is concerned with the road traffic congestion problems and de-congestion initiatives in the Greater Johannesburg Area (GJA). A rapid appraisal of the traffic congestion and de-congestion map and atlas of the GJA was conducted...

  4. Moose, caribou, and grizzly bear distribution in relation to road traffic in Denali National Park, Alaska

    Science.gov (United States)

    Yost, A.C.; Wright, R.G.

    2001-01-01

    Park managers are concerned that moose (Alces alces), caribou (Rangifer tarandus), and grizzly bears (Ursus arctos) may be avoiding areas along the 130 km road through Denali National Park as a result of high traffic volume, thus decreasing opportunities for visitors to view wildlife. A wildlife monitoring system was developed in 1996 that used 19 landscape level viewsheds, stratified into four sections based on decreasing traffic along the road corridor. Data were collected from 22 samplings of all viewsheds during May-August in 1996 and 1997. In 1997, nine backcountry viewsheds were established in three different areas to determine whether density estimates for each species in the backcountry were higher than those for the same animals in similar road-corridor areas. Densities higher than those in the road corridor were found in one backcountry area for moose and in two backcountry areas for grizzly bears. None of the backcountry areas showed a higher density of caribou. We tested hypotheses that moose, caribou, and grizzly bear distributions were unrelated to the road and traffic. Moose sightings were lower than expected within 300 m of the road. More caribou and grizzly bears than expected occurred between 601 and 900 m from the road, while more moose and fewer caribou than expected occurred between 900 and 1200 m from the road. Bull moose in stratum 1 were distributed farther from the road than bulls and cows in stratum 4; cows in stratum 1 and bulls in stratum 2 were distributed farther from the road than cows in stratum 4. Grizzly bears in stratum 2 were distributed farther from the road than bears in stratum 3. The distribution of moose sightings suggests traffic avoidance, but the spatial pattern of preferred forage may have had more of an influence. Caribou and grizzly bear distributions indicated no pattern of traffic avoidance.

  5. The effects of road traffic and aircraft noise exposure on children′s episodic memory: The RANCH Project

    Directory of Open Access Journals (Sweden)

    Mark Matheson

    2010-01-01

    Full Text Available Previous studies have found that chronic exposure to aircraft noise has a negative effect on children′s performance on tests of episodic memory. The present study extended the design of earlier studies in three ways: firstly, by examining the effects of two noise sources, aircraft and road traffic, secondly, by examining exposure-effect relationships, and thirdly, by carrying out parallel field studies in three European countries, allowing cross-country comparisons to be made. A total of 2844 children aged between 8 years 10 months and 12 years 10 months (mean age 10 years 6 months completed classroom-based tests of cued recall, recognition memory and prospective memory. Questionnaires were also completed by the children and their parents in order to provide information about socioeconomic context. Multilevel modeling analysis revealed aircraft noise to be associated with an impairment of recognition memory in a linear exposure-effect relationship. The analysis also found road traffic noise to be associated with improved performance on cued recall in a linear exposure-effect relationship. No significant association was found between exposure to aircraft noise and cued recall or prospective memory. Likewise, no significant association was found between road traffic noise and recognition or prospective memory. Taken together, these findings indicate that exposure to aircraft noise and road traffic noise can impact on certain aspects of children′s episodic memory.

  6. "Dispersion modeling approaches for near road | Science ...

    Science.gov (United States)

    Roadway design and roadside barriers can have significant effects on the dispersion of traffic-generated pollutants, especially in the near-road environment. Dispersion models that can accurately simulate these effects are needed to fully assess these impacts for a variety of applications. For example, such models can be useful for evaluating the mitigation potential of roadside barriers in reducing near-road exposures and their associated adverse health effects. Two databases, a tracer field study and a wind tunnel study, provide measurements used in the development and/or validation of algorithms to simulate dispersion in the presence of noise barriers. The tracer field study was performed in Idaho Falls, ID, USA with a 6-m noise barrier and a finite line source in a variety of atmospheric conditions. The second study was performed in the meteorological wind tunnel at the US EPA and simulated line sources at different distances from a model noise barrier to capture the effect on emissions from individual lanes of traffic. In both cases, velocity and concentration measurements characterized the effect of the barrier on dispersion.This paper presents comparisons with the two datasets of the barrier algorithms implemented in two different dispersion models: US EPA’s R-LINE (a research dispersion modelling tool under development by the US EPA’s Office of Research and Development) and CERC’s ADMS model (ADMS-Urban). In R-LINE the physical features reveal

  7. Intertwining road user behaviour and traffic psychology with ITS in South Africa

    CSIR Research Space (South Africa)

    Venter, Karien

    2010-05-01

    Full Text Available Road safety is a core problem that the South African government battle with year-on year. One of the areas where South Africa has sadly been lacking behind is within the field of road and traffic psychology. This is despite the fact that presumably...

  8. Accident rates related to rural road geometry elements and daily traffic

    CSIR Research Space (South Africa)

    Skinner, DG

    1994-02-01

    Full Text Available The available data bases for accidents, road geometry (photolog output) and traffic counts were combined and the accident rates determined for two lane, four lane and six lane road categories as well as for 22 geometric element categories...

  9. Visual Function as a Risk Factor for Road Traffic Accidents among ...

    African Journals Online (AJOL)

    Background: To assess the effect of visual function on the occurrence of road traffic accidents (RTA) amongst Commercial Intercity Vehicle Drivers in Jos, Plateau State, Nigeria. Methodology: A descriptive cross-sectional survey of commercial intercity vehicle drivers at the Bauchi Road Motor Park, Jos, was undertaken in ...

  10. A methodology for road traffic resilience analysis and review of related concepts

    NARCIS (Netherlands)

    Calvert, S.C.; Snelder, M.

    2017-01-01

    Major and minor disturbances can have a considerable impact on the performance of road networks. In this respect, resilience is considered as the ability of a road section to resist and to recover from disturbances in traffic flow. In this contribution, an indicator is presented, the Link

  11. 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.

  12. IMPROVEMENT OF TRAFFIC SAFETY BY ROAD-VEHICLE COOPERATIVE SMART CRUISE SYSTEMS

    Directory of Open Access Journals (Sweden)

    Akio HOSAKA

    2000-01-01

    Full Text Available Hopes have been pinned on the development of intelligent systems for road traffic as a way of solving road traffic safety and other such issues. To be sure, work is moving ahead with the incorporation of intelligent systems into automobiles but, with automobiles alone, there are limits in areas such as environment recognition. Compensation for the limits imposed by automobiles can be provided by the support given to environment recognition and related areas of road infrastructure. This paper examines the special features of vehicles and road infrastructure, and describes what role is played by roads and what role is played by vehicles. On the basis of the observations made, road-vehicle cooperative support systems called “smart cruise systems”, which are currently being developed, will be introduced and the expected effects of these systems will be outlined.

  13. Stochastic Model of Traffic Jam and Traffic Signal Control

    Science.gov (United States)

    Shin, Ji-Sun; Cui, Cheng-You; Lee, Tae-Hong; Lee, Hee-Hyol

    Traffic signal control is an effective method to solve the traffic jam. and forecasting traffic density has been known as an important part of the Intelligent Transportation System (ITS). The several methods of the traffic signal control are known such as random walk method, Neuron Network method, Bayesian Network method, and so on. In this paper, we propose a new method of a traffic signal control using a predicted distribution of traffic jam based on a Dynamic Bayesian Network model. First, a forecasting model to predict a probabilistic distribution of the traffic jam during each period of traffic lights is built. As the forecasting model, the Dynamic Bayesian Network is used to predict the probabilistic distribution of a density of the traffic jam. According to measurement of two crossing points for each cycle, the inflow and outflow of each direction and the number of standing vehicles at former cycle are obtained. The number of standing vehicle at k-th cycle will be calculated synchronously. Next, the probabilistic distribution of the density of standing vehicle in each cycle will be predicted using the Dynamic Bayesian Network constructed for the traffic jam. And then a control rule to adjust the split and the cycle to increase the probability between a lower limit and ceiling of the standing vehicles is deduced. As the results of the simulation using the actual traffic data of Kitakyushu city, the effectiveness of the method is shown.

  14. IMPROVEMENT OF EXPERT ANALYSIS FOR ROAD TRAFFIC ACCIDENTS USING COMPUTER SIMULATION PROGRAMS

    Directory of Open Access Journals (Sweden)

    S. A. Azemsha

    2015-01-01

    Full Text Available The existing methods for auto-technical expertise presuppose selection of some parameters on the basis of the expert’s intuition and experience. Type of a vehicle and its loading rate, road conditions are not taken into account also in the case when deceleration is to be determined. While carrying out the analysis it has been established that an application of special software makes it possible to improve significantly efficiency of the executed works directed on solution of the assigned tasks, to speed up calculation processes, to decrease qualitatively probability of arithmetic errors and provides the possibility to visualize results of the conducted investigations. Possibility of using various models for dynamic motion simulation and collision of vehicles (in the form of 3D-models has been established in the paper. In such a case specific features of vehicle technical conditions, its loading rate and condition of roadway surface have been taken account in the paper. The given paper also permits to obtain a dynamic display of reconstructed accident mechanism in axonometric projection, to film video-clips when a camera is positioned at any spatial point: road, roadside, raised position, moving vehicle, driver's seat in the vehicle.The paper contains an analysis of possibilities of road traffic accident simulation programs, a statistical analysis that shows significance in differences between simulation results when various programs have been used. The paper presents initial data and results of vehicle speed calculation on the basis of braking track length which have been obtained with the help of road traffic accident express analysis (a classical approach and PC-Crash when additional influencing factors are taken into account. A number of shortcomings have been revealed while analyzing the simulation results of the applied software. The shortcomings must be removed in the analyzed software products.On the basis of the executed analysis in

  15. Traffic disruption in PAM DIRAC road (Prévessin Site)

    CERN Document Server

    2003-01-01

    From 8th September to 19th September, ST Division will be doing some road works to install HDPE ducts for optical fibre cables under the PAM DIRAC road. For this reason, the road will be closed during 2 days and alternative arrangements will be put in place to reroute the traffic. We kindly ask all users to respect these temporary arrangements. Thank you for your understanding in this matter. ST-EL Group Tel. 77779 - 160484 / 75498 - 163198

  16. Economic development and road traffic fatalities in two neighbouring African nations

    Directory of Open Access Journals (Sweden)

    Douglas J. Wiebe

    2016-06-01

    Conclusion: Road crash fatalities increased in recent decades in both Zambia and Botswana. But the rapid economic development in Botswana over this time period appears to have driven proportionate road traffic fatality increases. There are opportunities for newly emerging economies such as Zambia, Angola, and others to learn from the Botswana experience. Evidence-based investments in road safety interventions should be concomitant with economic development.

  17. Forecasting of Congestion in Traffic Neural Network Modelling Using Duffing Holmes Oscillator

    Science.gov (United States)

    Mrgole, Anamarija L.; Čelan, Marko; Mesarec, Beno

    2017-10-01

    Forecasting of congestion in traffic with Neural Network is an innovative and new process of identification and detection of chaotic features in time series analysis. With the use of Duffing Holmes Oscillator, we estimate the emergence of traffic flow congestion when the traffic load on a specific section of the road and in a specific time period is close to exceeding the capacity of the road infrastructure. The orientated model is validated in six locations with a specific requirement. The paper points out the issue of importance of traffic flow forecasting and simulations for preventing or rerouting possible short term traffic flow congestions.

  18. The journey from traffic offender to severe road trauma victim: destiny or preventive opportunity?

    Directory of Open Access Journals (Sweden)

    Kwok M Ho

    Full Text Available Road trauma is a leading cause of death and injury in young people. Traffic offences are common, but their importance as a risk indicator for subsequent road trauma is unknown. This cohort study assessed whether severe road trauma could be predicted by a history of prior traffic offences.Clinical data of all adult road trauma patients admitted to the Western Australia (WA State Trauma Centre between 1998 and 2013 were linked to traffic offences records at the WA Department of Transport. The primary outcomes were alcohol exposure prior to road trauma, severe trauma (defined by Injury Severity Score >15, and intensive care admission (ICU or death, analyzed by logistic regression. Traffic offences directly leading to the road trauma admissions were excluded. Of the 10,330 patients included (median age 34 years-old, 78% male, 1955 (18.9% had alcohol-exposure before road trauma, 2415 (23.4% had severe trauma, 1360 (13.2% required ICU admission, and 267 (2.6% died. Prior traffic offences were recorded in 6269 (60.7% patients. The number of prior traffic offences was significantly associated with alcohol-related road trauma (odds ratio [OR] per offence 1.03, 95% confidence interval [CI] 1.02-1.05, severe trauma (OR 1.13, 95%CI 1.14-1.15, and ICU admission or death (OR 1.10, 95%CI 1.08-1.11. Drink-drinking, seat-belt, and use of handheld electronic device offences were specific offences strongly associated with road trauma leading to ICU admission or death--all in a 'dose-related' fashion. For those who recovered from road trauma after an ICU admission, there was a significant reduction in subsequent traffic offences (mean difference 1.8, 95%CI 1.5 to 2.0 and demerit points (mean difference 7.0, 95%CI 6.5 to 7.6 compared to before the trauma event.Previous traffic offences were a significant risk factor for alcohol-related road trauma and severe road trauma leading to ICU admission or death.

  19. INFLUENCE OF PLANNING, ORGANIZATIONAL CHARACTERISTICS AND REGULATION ON ROAD TRAFFIC SAFETY OF PEDESTRIANS

    Directory of Open Access Journals (Sweden)

    G. M. Kuharenok

    2011-01-01

    Full Text Available The paper presents results of research on planning, organizational characteristics and regulation modes at  the regulated pedestrian crossings, located out of crossroads in the street and road network of Minsk. Some regularities pertaining to the influence of the investigated characteristics on road traffic safety of pedestrians are revealed in the paper. Practical offers on increase of road traffic safety of pedestrians in the Republic of Belarus have been developed on the basis of the executed investigations and cited in the paper. 

  20. The journey from traffic offender to severe road trauma victim: destiny or preventive opportunity?

    Science.gov (United States)

    Ho, Kwok M; Rao, Sudhakar; Burrell, Maxine; Weeramanthri, Tarun S

    2015-01-01

    Road trauma is a leading cause of death and injury in young people. Traffic offences are common, but their importance as a risk indicator for subsequent road trauma is unknown. This cohort study assessed whether severe road trauma could be predicted by a history of prior traffic offences. Clinical data of all adult road trauma patients admitted to the Western Australia (WA) State Trauma Centre between 1998 and 2013 were linked to traffic offences records at the WA Department of Transport. The primary outcomes were alcohol exposure prior to road trauma, severe trauma (defined by Injury Severity Score >15), and intensive care admission (ICU) or death, analyzed by logistic regression. Traffic offences directly leading to the road trauma admissions were excluded. Of the 10,330 patients included (median age 34 years-old, 78% male), 1955 (18.9%) had alcohol-exposure before road trauma, 2415 (23.4%) had severe trauma, 1360 (13.2%) required ICU admission, and 267 (2.6%) died. Prior traffic offences were recorded in 6269 (60.7%) patients. The number of prior traffic offences was significantly associated with alcohol-related road trauma (odds ratio [OR] per offence 1.03, 95% confidence interval [CI] 1.02-1.05), severe trauma (OR 1.13, 95%CI 1.14-1.15), and ICU admission or death (OR 1.10, 95%CI 1.08-1.11). Drink-drinking, seat-belt, and use of handheld electronic device offences were specific offences strongly associated with road trauma leading to ICU admission or death--all in a 'dose-related' fashion. For those who recovered from road trauma after an ICU admission, there was a significant reduction in subsequent traffic offences (mean difference 1.8, 95%CI 1.5 to 2.0) and demerit points (mean difference 7.0, 95%CI 6.5 to 7.6) compared to before the trauma event. Previous traffic offences were a significant risk factor for alcohol-related road trauma and severe road trauma leading to ICU admission or death.

  1. Solutions to Traffic Jam on East Road of Beijing Jiaotong University in Rush Hours Based on Analogue Simulation

    Directory of Open Access Journals (Sweden)

    Zou Yanwen

    2015-01-01

    Full Text Available Based on the simulation theory and method, this paper establishes a status analogue simulation model in peak hours, realizes an effective assessment on the road, finds out bottlenecks to improve the level of road services and puts forward the corresponding road improvement program. This paper simulates the improvement program by the use of VISSIM simulation model, and verifies the improvement effect of four programs and carries out promotion. The research obtains an effective method of solving the problem of jam on the sub-arterial road: It needs to set up by-pass and control over traffic flow of the by-pass, and give full play to the role of by-pass in city.

  2. Exposure to air pollution and noise from road traffic and risk of congenital anomalies in the Danish National Birth Cohort.

    Science.gov (United States)

    Pedersen, Marie; Garne, Ester; Hansen-Nord, Nete; Hjortebjerg, Dorrit; Ketzel, Matthias; Raaschou-Nielsen, Ole; Nybo Andersen, Anne-Marie; Sørensen, Mette

    2017-11-01

    Ambient air pollution has been associated with certain congenital anomalies, but few studies rely on assessment of fine-scale variation in air quality and associations with noise from road traffic are unexplored. Among 84,218 liveborn singletons (1997-2002) from the Danish National Birth Cohort with complete covariate data and residential address history from conception until birth, we identified major congenital anomalies in 4018 children. Nitrogen dioxide (NO 2 ) and noise from road traffic (L den ) burden during fetal life was modeled. Outcome and covariate data were derived from registries, hospital records and questionnaires. Odds ratios (ORs) for eleven major anomaly groups associated with road traffic pollution during first trimester were estimated using logistic regression with generalized estimating equation (GEE) approach. Most of the associations tested did not suggest increased risks. A 10-µg/m 3 increase in NO 2 exposure during first trimester was associated with an adjusted ORs of 1.22 (95% confidence interval: 0.98-1.52) for ear, face and neck anomalies; 1.14 0.98-1.33) for urinary anomalies. A 10-dB increase in road traffic noise was also associated with these subgroups of anomalies as well as with an increased OR for orofacial cleft anomalies (1.17, 0.94-1.47). Inverse associations for several both air pollution and noise were observed for atrial septal defects (0.85, 0.68-1.04 and 0.81, 0.65-0.99, respectively). Residential road traffic exposure to noise or air pollution during pregnancy did not seem to pose a risk for development of congenital anomalies. Copyright © 2017 Elsevier Inc. All rights reserved.

  3. RETROSPECTIONS ON ROAD TRAFFIC INJURIES AS A SOCIAL BURDEN: THE ROLE OF PUBLIC HEALTH EDUCATION INITIATIVES IN A DEVELOPING COUNTRY.

    Science.gov (United States)

    Maduakonam, Dim Edwin; Miriam, Dim Uchenna; Arthur, Nwashindi

    2015-01-01

    Road traffic injuries are a major cause of trauma related morbidity and mortality in our modern society. They have since been recognized as disease entities on their own, as well as a societal problem of serious public health concern. The aim of this review article is to promote the understanding of road traffic injuries as both a social burden and a disease entity and to highlight suggested measures capable of curtailing the menace that these injuries pose to human population. A review of the literature on the subject of road traffic injuries as both a social problem and disease entity was done. Historical perspectives, epidemiological information, causative factors and preventive measures were extracted and presented. Human factors contribute to 95% of road traffic accident. Current deaths from road traffic injuries account for 2.2% of the global mortality affecting all age groups. Health education and enforcement of legislation are key measures in combating road traffic injuries.

  4. Dynamic road marking applied to the amsterdam ring road - What are the traffic effects, according to INDY?

    NARCIS (Netherlands)

    Malone, K.M.; Versteegt, H.H.

    2009-01-01

    This paper investigates the effects of dynamic road marking on the Ring around Amsterdam. This Ring is congested during most of the day, but especially during the peak periods in the morning and evening rush hours. The goal is to determine what (traffic) effects, if any, can be found by applying

  5. Deadly rural road traffic injury: a rising public health concern in I.R. Iran.

    Science.gov (United States)

    Ardalan, Ali; Sepehrvand, Nariman; Pourmalek, Farshad; Masoumi, Gholamreza; Sarvar, Mohamad; Mahmoudabadi, Abbas; Rezaie, Anita

    2014-02-01

    The 5(th) Iran National Development Plan, 2011-2015, has emphasized on expansion of rural asphalt roads. This article aims to illustrate the trend of deaths caused by rural road traffic crashes (RTCs) and its association with length of the rural roads in Iran. We carried out a retrospective analysis on secondary data for the period from 2005 to 2010. The Iranian Forensic Medicine Organization, High Commission for Road Safety and Iran's Statistical Center were the sources for the number of RTC death, length of the road and population data, respectively. Number of RTC deaths in rural roads increased from 1,672 in 2005 to 2,206 in 2010. This was associated with expansion of the rural asphalt roads (P = 0.04). The construction of urban asphalt roads was also on an increasing trend, but the number of traffic deaths in these roads decreased from 26,083 in 2005 to 21,043 in 2010. Adjusted for 100,000 populations, the number of traffic deaths in urban roads showed a decrease from 37.0 to 28.0, while this number increased from 2.4 to 2.9 in rural roads during the study period. Although expansion of rural roads would contribute to economic development in rural areas, it exposes people to risk of severe RTCs if effective preventive actions are not taken. To prevent this threat, the Iranian policy makers need to take the followings into consideration: Public awareness, improving the safety of roads and vehicles, law enforcement, increasing coverage of police and Emergency Medical Services.

  6. Road and Railway Traffic Seismicity Effect Comparison on Historical Building in Slovakia

    Science.gov (United States)

    Papán, Daniel; Valašková, Veronika

    2016-10-01

    The road and the railway traffic generate material and immaterial emissions. The immaterial emission produced by traffic is divided to the noise and the vibrations. All these aspects attacking the environment should to be assessed. For the assessment the national and international standards can be used. This paper contains only the vibration assessment and the comparison of the dynamic parameters influence in this process. The heritage buildings have more conservative criteria as another building. This approach is performed via experimental and numerical study and identification of the basic dynamic parameters. It is presented on two case studies of important historic buildings in Modra and Žilina (Slovakia). For both case studies buildings, the FEM (Finite Element Method) numerical models were created. The modes of the natural vibration and natural frequencies were obtained as the relevant results from numerical models. These parameters are very important for this type of assessment. For the FEM models the Scia Engineer were used as the numerical software system. The experimental measurements were realised for FEM model verification. Also these measurements were used for the assessment according Slovak standards. These models can be tuned based on the experimental measurements. The tuned FEM models can be used for the further extrapolations. The main part of the investigation was to compare traffic seismicity effect on the historical buildings. Both buildings were assed in the frequency and time domain. The comparison of the traffic seismicity effects was realised also in frequency and the time domain. It is necessary to taking to account this assessment for the heritage buildings.

  7. Obstructive sleep apnoea syndrome as a cause of road traffic accidents.

    Science.gov (United States)

    Aguiar, M; Valença, J; Felizardo, M; Caeiro, F; Moreira, S; Staats, R; Bugalho de Almeida, A A

    2009-01-01

    Several studies have demonstrated that obstructive sleep apnoea syndrome (OSAS) patients have a higher rate of road traffic accidents. Our study aimed to analyse any differences in OSAS patients between those who reported having had road traffic accidents and/or near misses and those who did not. We studied 163 patients with OSAS (apnoea- hypopnoea index (AHI)>10/h) diagnosed using nocturnal polysomnography (NPSG), all drivers, 18.4% of whom drove for a living. Patients were asked at their first clinical interview to self-report road traffic accidents and/or near misses over the past 3 years which had been caused by abnormal daytime drowsiness. This allowed patients to be divided into two groups, those who had had road traffic accidents and/or near misses and those who had not. Both were compared as to age, body mass index (BMI), Epworth Sleepiness Scale (ESS), daytime PaO2 and PaCO2, Functional Outcomes of Sleep Questionnaire (FOSQ) test and NPSG data. This latter was total sleep time (TTS), sleep efficiency, sleep stages, arousal index (ARI), AHI, minimal and average SaO2, % of time with SaO2 TDAH) (T test). Group I (no road traffic accidents) No=89 patients; group II (road traffic accidents) No=74 patients. Age (years) was 57.6+/-11.8 vs. 54.7+/-10.9 (ns); male gender, 75% vs. 78.4%; ESS, 12.3+/-5.4 vs. 17.6+/-4.3 (pTDAH (minutes), 98.5+/-63.7 vs. 133.3+/-83.2 (p=0,005). In our experience patients who had road traffic accidents and/or near misses had a more severe OSAS, with higher AHI, excessive daytime sleepiness and lower quality of life.

  8. Quality of life following road traffic injury: A systematic literature review.

    Science.gov (United States)

    Rissanen, Ritva; Berg, Hans-Yngve; Hasselberg, Marie

    2017-11-01

    To assess and provide a systematic overview of current knowledge about the relationship between quality of life (QoL) and road traffic injury, and to appraise how QoL is affected by road traffic injury. A systematic review of the literature published since 1990 on QoL after a road traffic injury, including adult and paediatric populations, from three databases (Pubmed, PsychInfo and SafetyLit) was undertaken. The methodological quality was assessed according to the Newcastle-Ottawa Quality Assessment Scale. Thirty articles were included and assessed for quality. The QoL scores of those injured were similar to population norms at the first assessment, followed by a drop at the second assessment. An increase of QoL from the second to third assessment was reported, but participants never reached the population norms at the last follow-up (range six weeks to two years), with an exception of those claiming compensation and those with lower extremity fractures. Age, gender, socioeconomic status, injury severity, injury type and post-traumatic stress disorder were associated with reduced QoL. Available literature regarding QoL among injured in road traffic crashes is heterogeneous with regard to aims and tools used for assessment. Our review confirmed that independent of measure, the overall QoL was significantly reduced after a road traffic injury compared to the general population norms. Persons who are older, of female gender, lower socioeconomic status, diagnosed with post-traumatic stress disorder, with more severe injuries or injuries to the lower limbs are more vulnerable to loss of QoL following road traffic injury compared to other patient groups injured in road traffic crashes. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. Epidemiologic study of road traffic injuries by road user type characteristics and road environment in Iran: a community-based approach.

    Science.gov (United States)

    Hatamabadi, Hamidreza; Vafaee, Reza; Hadadi, Mashyaneh; Abdalvand, Ali; Esnaashari, Hamidreza; Soori, Hamid

    2012-01-01

    Crash injuries in traffic accidents are affected by a variety of factors. In this study we analyzed road user type information based on different contributing factors. Data from all of the road traffic victims on a road extending from the east of the city of Tehran to Mazandaran province were included prospectively over a one-year period (May 2008 to May 2009). Data collected included the crash time, patient's age and sex, road user category, helmet or seat belt use, anatomical site of injury, Injury Severity Score (ISS), and mortality. Prevalence and cross-tabulations were included in the analysis. There were 433 patients, of whom 345 were hospitalized and 33 died either before or after arriving at the hospital. Sixty-nine percent of injured patients were vehicle occupants. Mean and median of ISS were higher for pedestrians, who accounted for 49 percent of the deaths. Head injury was the most common injury and injury to upper and lower extremities was the most common cause of admission. A significant difference in lower extremity injuries between vehicle occupants and nonoccupants was found. Sex and age group did not have a significant effect on mortality. Mortality was significantly higher in pedestrians (P road user type. Because pedestrians are the most vulnerable road users, stricter legislation and law enforcement should be used to protect them. Greater protection can also be reached by holding effective public awareness campaigns on how to use different roads safely. On the other hand, because rear seat passengers are at the same risk for road traffic injuries as front seat passengers, employment of newer laws and preventive measures targeting this group of occupants can prevent many road traffic injuries (RTIs).

  10. Tourism in protected areas: Disentangling road and traffic effects on intra-guild scavenging processes.

    Science.gov (United States)

    Donázar, José Antonio; Ceballos, Olga; Cortés-Avizanda, Ainara

    2018-02-26

    The expansion of road networks and the increase in traffic have emerged in recent years as key threats to the conservation of biodiversity. This is particularly concerning in many protected areas because the increase of recreational activities requiring the use of vehicles. Effects of roads and traffic within guild scenarios and ecological processes remain however poorly known. Here we examined how road proximity and traffic intensity influence patterns of resource use in an Old-World avian scavenger guild living in a protected natural park in northern Spain. We experimentally placed 130 carcasses at different distances from a scenic road in the centre of the park. Vehicles were recorded by means of traffic counters which revealed that maximum numbers were reached during weekends and holidays and during the middle hours of the day. Avian scavenger attendance at carcasses was recorded by means of camera-traps. Obligated scavengers, Eurasian griffon (Gyps fulvus) and Egyptian vultures (Neophron percnopterus) were frequently observed (59.4% and 37.7% of the consumed carcasses) together with five other facultative scavenger species. We found that the richness (number of species) and the probability of consumption of the resource were reduced the smaller the distance to the road and in days with higher traffic intensity. The same factors affected the probability of presence of all the scavenger species. Moreover, some of them, notably griffon vultures, showed hourly patterns of carcass attendance suggesting avoidance of maximum traffic levels. Our results highlight that roads and traffic would trigger consequences on the structure and functioning of scavenger food webs, which may be particularly concerning in protected areas with remarkable levels of biodiversity. Future regulations at protected areas should couple both traffic and tourist affluence with wildlife conservation. In this way important ecological processes would be preserved while maintaining a good

  11. Road traffic crashes, injury and fatality trends in Sri Lanka: 1938-2013.

    Science.gov (United States)

    Dharmaratne, Samath D; Jayatilleke, Achala Upendra; Jayatilleke, Achini C

    2015-09-01

    To analyse trends in road traffic crashes, injuries and fatalities over 75 years in Sri Lanka. Data on road traffic crashes, injuries and fatalities between 1938 and 2013 were obtained from the Police Statistics Unit. Rates per 100,000 population were calculated and trends were analysed using joinpoint regression analysis. Road traffic crashes and injuries rose substantially between 1938 and 2013: annual crashes increased from 61.2 to 183.6 per 100,000 people; injuries, from 35.1 to 98.6 per 100,000; and fatalities, from 3.0 to 10.8 per 100,000 people per year. Joinpoint analysis showed large fluctuations in crashes and injuries over time but the fatalities rose almost continuously. These fluctuations paralleled the country's political and economic development. In some years, better traffic law enforcement and improved public transportation may have been associated with reduced crashes and injuries, whereas rapid growth in vehicle numbers, especially two- and three-wheeled vehicles, may have contributed to increased crashes and injuries. In addition, insurance policies that did not require a police report to claim may have led to underreporting of crashes and allowed drivers to avoid prosecution. Fluctuations over time in road traffic crashes and injuries in Sri Lanka are associated with changes in political, economic and traffic policy. There is potential for reducing road traffic crashes and injuries through better traffic law enforcement, restrictions on the importation of two- and three-wheeled vehicles and policies to improve road safety and prevent underreporting of crashes.

  12. Vehicle-based road dust emission measurement (III):. effect of speed, traffic volume, location, and season on PM 10 road dust emissions in the Treasure Valley, ID

    Science.gov (United States)

    Etyemezian, V.; Kuhns, H.; Gillies, J.; Chow, J.; Hendrickson, K.; McGown, M.; Pitchford, M.

    The testing re-entrained aerosol kinetic emissions from roads (TRAKER) road dust measurement system was used to survey more than 400 km of paved roads in southwestern Idaho during 3-week sampling campaigns in winter and summer, 2001. Each data point, consisting of a 1-s measurement of particle light scattering sampled behind the front tire, was associated with a link (section of road) in the traffic demand model network for the Treasure Valley, ID. Each link was in turn associated with a number of characteristics including posted speed limit, vehicle kilometers traveled (vkt), road class (local/residential, collector, arterial, and interstate), county, and land use (urban vs. rural). Overall, the TRAKER-based emission factors based on location, setting, season, and speed spanned a narrow range from 3.6 to 8.0 g/vkt. Emission factors were higher in winter compared to summer, higher in urban areas compared to rural, and lower for roads with fast travel speeds compared to slower roads. The inherent covariance between traffic volume and traffic speed obscured the assessment of the effect of traffic volume on emission potentials. Distance-based emission factors expressed in grams per kilometer traveled (g/vkt) for roads with low travel speeds (˜11 m/s residential roads) compared to those with high travel speeds (˜25 m/s interstates) were higher (5.2 vs. 3.0 g/vkt in summer and 5.9 vs. 4.9 g/vkt in winter). However, emission potentials which characterize the amount of suspendable material on a road were substantially higher on roads with low travel speeds (0.71 vs. 0.13 g/vkt/(m/s) in summer and 0.78 vs. 0.21 g/vkt/(m/s) in winter). This suggested that while high speed roads are much cleaner (factor of 5.4 in summer), on a vehicle kilometer traveled basis, emissions from high and low speed roads are of the same order. Emission inventories based on the TRAKER method, silt loadings obtained during the field study, and US EPA's AP-42 default values of silt loading were

  13. Characterization and Modeling of Network Traffic

    DEFF Research Database (Denmark)

    Shawky, Ahmed; Bergheim, Hans; Ragnarsson, Olafur

    2011-01-01

    This paper attempts to characterize and model backbone network traffic, using a small number of statistics. In order to reduce cost and processing power associated with traffic analysis. The parameters affecting the behaviour of network traffic are investigated and the choice is that inter......-arrival time, IP addresses, port numbers and transport protocol are the only necessary parameters to model network traffic behaviour. In order to recreate this behaviour, a complex model is needed which is able to recreate traffic behaviour based on a set of statistics calculated from the parameters values....... The model investigates the traffic generation mechanisms, and grouping traffic into flows and applications....

  14. A Review of Adverse Effects of Road Traffic Noise on Human Health

    Science.gov (United States)

    Singh, Devi; Kumari, Neeraj; Sharma, Pooja

    Noise pollution due to road traffic is a potential threat to human health. Since it is a global hazard, the rapid urbanization and exponential traffic growth have aggravated the problem. Population residing along the busy traffic lanes is continuously exposed to the sound levels which are above the permissible limits. This constant exposure to noise pollution is a cause of concern as it leads to several adverse impacts on human health. Traffic noise causes irritation and annoyance, sleep disturbances, cardiovascular disease, risk of stroke, diabetes, hypertension and loss of hearing. It results in decreased work performance. The present review highlights the serious health hazards of road traffic noise (RTN) which needs to be curbed. Preventive measures of noise pollution can help in combating noise-induced health hazards and increased work performance.

  15. A Two-Stage Method to Estimate the Contribution of Road Traffic to PM₂.₅ Concentrations in Beijing, China.

    Science.gov (United States)

    Fang, Xin; Li, Runkui; Xu, Qun; Bottai, Matteo; Fang, Fang; Cao, Yang

    2016-01-13

    Fine particulate matters with aerodynamic diameters smaller than 2.5 micrometers (PM2.5) have been a critical environmental problem in China due to the rapid road vehicle growth in recent years. To date, most methods available to estimate traffic contributions to ambient PM2.5 concentration are often hampered by the need for collecting data on traffic volume, vehicle type and emission profile. To develop a simplified and indirect method to estimate the contribution of traffic to PM2.5 concentration in Beijing, China. Hourly PM2.5 concentration data, daily meteorological data and geographic information were collected at 35 air quality monitoring (AQM) stations in Beijing between 2013 and 2014. Based on the PM2.5 concentrations of different AQM station types, a two-stage method comprising a dispersion model and generalized additive mixed model (GAMM) was developed to estimate separately the traffic and non-traffic contributions to daily PM2.5 concentration. The geographical trend of PM2.5 concentrations was investigated using generalized linear mixed model. The temporal trend of PM2.5 and non-linear relationship between PM2.5 and meteorological conditions were assessed using GAMM. The medians of daily PM2.5 concentrations during 2013-2014 at 35 AQM stations in Beijing ranged from 40 to 92 μg/m³. There was a significant increasing trend of PM2.5 concentration from north to south. The contributions of road traffic to daily PM2.5 concentrations ranged from 17.2% to 37.3% with an average 30%. The greatest contribution was found at AQM stations near busy roads. On average, the contribution of road traffic at urban stations was 14% higher than that at rural stations. Traffic emissions account for a substantial share of daily total PM2.5 concentrations in Beijing. Our two-stage method is a useful and convenient tool in ecological and epidemiological studies to estimate the traffic contribution to PM2.5 concentrations when there is limited information on vehicle number and

  16. A Modelling Framework for estimating Road Segment Based On-Board Vehicle Emissions

    International Nuclear Information System (INIS)

    Lin-Jun, Yu; Ya-Lan, Liu; Yu-Huan, Ren; Zhong-Ren, Peng; Meng, Liu Meng

    2014-01-01

    Traditional traffic emission inventory models aim to provide overall emissions at regional level which cannot meet planners' demand for detailed and accurate traffic emissions information at the road segment level. Therefore, a road segment-based emission model for estimating light duty vehicle emissions is proposed, where floating car technology is used to collect information of traffic condition of roads. The employed analysis framework consists of three major modules: the Average Speed and the Average Acceleration Module (ASAAM), the Traffic Flow Estimation Module (TFEM) and the Traffic Emission Module (TEM). The ASAAM is used to obtain the average speed and the average acceleration of the fleet on each road segment using FCD. The TFEM is designed to estimate the traffic flow of each road segment in a given period, based on the speed-flow relationship and traffic flow spatial distribution. Finally, the TEM estimates emissions from each road segment, based on the results of previous two modules. Hourly on-road light-duty vehicle emissions for each road segment in Shenzhen's traffic network are obtained using this analysis framework. The temporal-spatial distribution patterns of the pollutant emissions of road segments are also summarized. The results show high emission road segments cluster in several important regions in Shenzhen. Also, road segments emit more emissions during rush hours than other periods. The presented case study demonstrates that the proposed approach is feasible and easy-to-use to help planners make informed decisions by providing detailed road segment-based emission information

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

    Science.gov (United States)

    Živković, Snežana; Nikolić, Vesna; Markič, Mirko

    2015-01-01

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

  18. Predictors of children's sleep onset and maintenance problems after road traffic accidents.

    Science.gov (United States)

    Wittmann, Lutz; Zehnder, Daniel; Jenni, Oskar G; Landolt, Markus A

    2012-01-01

    Sleep onset and maintenance problems are a frequent complaint after traumatic events in children. However, the association of traumatic experiences and disturbed sleep remains to be explained. To examine the incidence of sleep onset and maintenance problems in children after road traffic accidents and identify potential predictors of sleep onset and maintenance problems, including putative psychopathological mechanisms as well as stressors affecting the family system. In 33 children treated for injuries after road traffic accidents, sleep and measures of psychopathology were assessed 10 days, 2 months, and 6 months after hospital admission. The predictive value of four clusters of predictor variables for children's sleep onset and maintenance problems was prospectively tested by multiple regression analyses. These clusters included socio-demographic, injury- and accident-related, and psychopathological variable clusters as well as factors reflecting stressors concerning mothers and family. Children suffering from posttraumatic stress reported a prolonged subjective sleep latency. The severity of sleep onset and maintenance problems was predicted by female sex and the child's as well as mothers' posttraumatic stress disorder (PTSD) severity. Sleep onset and maintenance problems in children after trauma appear to result from a complex interaction of multiple factors. Our findings support the transactional model of sleep-wake regulation that bears implications for the development of adequate intervention strategies.

  19. Environmental problems attributed due to increased road traffic intensity in Hyderabad city

    International Nuclear Information System (INIS)

    Memon, Z.; Ansari, A.K.

    2001-01-01

    Hyderabad is a historical city, so roads are not so wide to cater the present intensity of traffic, hence it is facing transportation problems. No any attempt of traffic management and control has been made in this regard to solve the acute problem of city. Some of the typical problems can be stated as poor driving, encroachments, unsystematic parking on roads, improper road markings and road sings, inadequate road geometry and inadequate control system at intersections etc. This study involves measurement of vehicles flow at five sites of Hyderabad city, and assessment of health hazards on human being due to noise congestion, improper road planning coupled with old city streets converted into roads which are now insufficient for present traffic density, resulting disturbance to pedestrians and dwellers who are living near by road for smooth walk. Motor vehicles, however, play a vital role in the field of public and goods transportation and this survey shows that there are about 726 vehicles operating per hour at the five sites in the city. (author)

  20. Spatial and temporal associations of road traffic noise and air pollution in London: Implications for epidemiological studies.

    Science.gov (United States)

    Fecht, Daniela; Hansell, Anna L; Morley, David; Dajnak, David; Vienneau, Danielle; Beevers, Sean; Toledano, Mireille B; Kelly, Frank J; Anderson, H Ross; Gulliver, John

    2016-03-01

    Road traffic gives rise to noise and air pollution exposures, both of which are associated with adverse health effects especially for cardiovascular disease, but mechanisms may differ. Understanding the variability in correlations between these pollutants is essential to understand better their separate and joint effects on human health. We explored associations between modelled noise and air pollutants using different spatial units and area characteristics in London in 2003-2010. We modelled annual average exposures to road traffic noise (LAeq,24h, Lden, LAeq,16h, Lnight) for ~190,000 postcode centroids in London using the UK Calculation of Road Traffic Noise (CRTN) method. We used a dispersion model (KCLurban) to model nitrogen dioxide, nitrogen oxide, ozone, total and the traffic-only component of particulate matter ≤2.5μm and ≤10μm. We analysed noise and air pollution correlations at the postcode level (~50 people), postcodes stratified by London Boroughs (~240,000 people), neighbourhoods (Lower layer Super Output Areas) (~1600 people), 1km grid squares, air pollution tertiles, 50m, 100m and 200m in distance from major roads and by deprivation tertiles. Across all London postcodes, we observed overall moderate correlations between modelled noise and air pollution that were stable over time (Spearman's rho range: |0.34-0.55|). Correlations, however, varied considerably depending on the spatial unit: largest ranges were seen in neighbourhoods and 1km grid squares (both Spearman's rho range: |0.01-0.87|) and was less for Boroughs (Spearman's rho range: |0.21-0.78|). There was little difference in correlations between exposure tertiles, distance from road or deprivation tertiles. Associations between noise and air pollution at the relevant geographical unit of analysis need to be carefully considered in any epidemiological analysis, in particular in complex urban areas. Low correlations near roads, however, suggest that independent effects of road noise and

  1. Analysis of Traffic Safety Factors at Level Rail-Road Crossings

    Directory of Open Access Journals (Sweden)

    Tomislav Mlinarić

    2012-10-01

    Full Text Available The paper analyses the main factors of traffic safety andreliabilityat level crossings. The number and causes of accidentsare stated, that result from ignorance, insufficient training ofthe traffic participants, their ilnsponsibility and insufficient orincomplete legislation, as well as from insufficiently professionaland scientifically not serious enough approach to solvingthis cardinal problem in road and railway traffic. Based on theanalysis the causes are determined and solutions proposed, aswell as more efficient methods to improve safety and reduce thenumber of traffic accidents at level crossings.

  2. A generic model for camera based intelligent road crowd control ...

    African Journals Online (AJOL)

    This research proposes a model for intelligent traffic flow control by implementing camera based surveillance and feedback system. A series of cameras are set minimum three signals ahead from the target junction. The complete software system is developed to help integrating the multiple camera on road as feedback to ...

  3. Some random models in traffic science

    Energy Technology Data Exchange (ETDEWEB)

    Hjorth, U.

    1996-06-01

    We give an overview of stochastic models for the following traffic phenomena. Models for traffic flow including gaps and capacities for lanes, crossings and roundabouts. Models for wanted and achieved speed distributions. Mode selection models including dispersed equilibrium models and traffic accident models. Also some statistical questions are discussed. 60 refs, 1 tab

  4. Urban compaction vs city sprawl: impact of road traffic on air quality in the greater Paris

    Science.gov (United States)

    Etuman Arthur, Elessa; Isabelle, Coll; Vincent, Viguie; Nicolas, Coulombel; Julie, Prud'homme

    2017-04-01

    Urban pollution remains a major sanitary and economic concern. In France, particulate pollution is known to cause 48,000 premature deaths every year (Santé Publique France, 2016), while the economic cost of air pollution reaches almost 25 billion euros per year (CGDD, 2012). In the Greater Paris, despite strengthened emission standards, restricted traffic areas, car-sharing and incentives for electric vehicle use, road transport plays a substantial role in the exposure of inhabitants to high levels of pollutants. In this context, urban planning could possibly constitute an innovative strategy to reduce emissions from road traffic, through its actions on transport demand, travel distances, modal shift (public transportation, cycling, walking...) or even proximity to emitters. We have developed a multi-scalar modeling of urban pollution by coupling an urban economic growth model NEDUM (CIRED), a model for urban mobility (LISA), a traffic emission model (LISA) and the CHIMERE Chemistry-Transport model (CTM) for air quality simulation (LISA). The innovative aspect of this modeling system is to integrate into a classic CTM the mechanisms underlying the dynamics of an urban system. This way, we establish a quantitative and comprehensive link between a given urban scenario, the associated public and individual transport matrix, and local air quality. We then make it possible to highlight the levers of energy consumption reductions inside compact or sprawled cities. We have been working on the Ile de France region (centered on the Paris agglomeration) which relies on a broad urban structure of megacity, a high density of housing and an expanding urban peripheral zone, clearly raising the issue of transport demand, mobility and traffic congestion. Two scenarios, considering opposite urban development policies from the 1960s to 2010, have been simulated over the whole modelling chain. The first one promotes a dense and compact city while the second favors city spread

  5. Impact of road traffic pollution on pre-eclampsia and pregnancy-induced hypertensive disorders

    DEFF Research Database (Denmark)

    Pedersen, Marie; Halldorsson, Thorhallur I.; Olsen, Sjurdur F.

    2017-01-01

    BACKGROUND: Road traffic is a majorsource of air pollution and noise. Both exposures have been associated with hypertension in adults, but pregnant womenhave been less studied. METHODS: We examined single and joint effects of ambient air pollution and road traffic noise on preeclampsia and pregna......BACKGROUND: Road traffic is a majorsource of air pollution and noise. Both exposures have been associated with hypertension in adults, but pregnant womenhave been less studied. METHODS: We examined single and joint effects of ambient air pollution and road traffic noise on preeclampsia...... addresses. Outcome and covariate data were derived from registries, hospital records, and questionnaires. RESULTS: A 10-µg/m increase in NO2 exposure during first trimester was associated with increased risk of preeclampsia (n=1,880, adjusted odds ratio = 1.07 [95% confidence interval = 1.01 to 1.......14]) and pregnancy-induced hypertensive disorders (n=2,430, 1.07 [1.01 to 1.13]). A 10-dBhigher road traffic noise was also associated with increased risk of preeclampsia (1.10 [1.02 to 1.18]) and pregnancy-induced hypertensive disorders (1.08 [1.02 to 1.15]). For both exposures the associations were strongest...

  6. Research on road traffic noise and human health in India: Review of literature from 1991 to current

    Directory of Open Access Journals (Sweden)

    Dibyendu Banerjee

    2012-01-01

    Full Text Available This article reviews the literature on research conducted during the last two decades on traffic noise impacts in India. Road traffic noise studies in India are fewer and restricted only to the metropolitan areas. The studies over the years have also focused on the monitoring, recording, analysis, modeling, and to some extent mapping related themes. Negligible studies are observed in areas of physiological and sleep research exposure-effect context. Most impact studies have been associated with annoyance and attitudinal surveys only. Little scientific literature exists related to effects of traffic noise on human physiology in the Indian context. The findings of this review search and analysis observe that very little studies are available relating to traffic noise and health impacts. All of them are subjective response studies and only a small portion of them quantify the exposure-effect chain and model the noise index with annoyance. The review of papers showed that road traffic noise is a cause for annoyance to a variety of degree among the respondents. A generalization of impacts and meta-analysis was not possible due to variability of the study designs and outputs preferred.

  7. A bibliometric analysis of the published road traffic injuries research in India, post-1990.

    Science.gov (United States)

    Sharma, Neeraj; Bairwa, Mohan; Gowthamghosh, B; Gupta, S D; Mangal, D K

    2018-03-01

    Globally, road traffic injuries are the leading cause of death among those aged 15-29 years. However, road traffic injury research has not received adequate attention from the scientific community in low- and middle-income countries, including India. The present study aims to provide a bibliometric overview of research assessing road traffic injuries in India. We used Scopus to extract relevant research in road traffic injuries published from 1991 to 2017. This study presented the key bibliometric indicators such as trends of annual publications and citations, top 10 authors, journals, institutions and highly cited articles, citation analysis of articles, co-occurrence of keywords, etc. Analysis was performed using Scopus, Microsoft Excel, and VOS-viewer. A total of 242 articles were retrieved with an h-index of 18, excluding self-citations. A steadfast growth of publications was documented in last decade, especially after the year 2010. The h-index of the top 10 authors, institutions, journals and highly cited articles did not surpass single digits. A network visualisation map showed that 'traffic accident', 'male', 'adolescent' and 'child' were the most commonly encountered key terms. The prominent authors were Gururaj G, Dandona R, and Hyder AA, whereas the top journals were the Indian Journal of Forensic Medicine and Toxicology, Medico Legal Update, and the International Journal of Applied Engineering Research and top institutions were the All India Institute of Medical Sciences, New Delhi, the Indian Institute of Technology, Delhi, and the Administrative Staff College of India. In India, road traffic injuries research is inadequate in quantity and quality, warranting greater attention from researchers and policy planners to address the burden of road traffic injuries.

  8. Policy Analysis of Road Traffic Injury Prevention in Iran

    Science.gov (United States)

    Azami-Aghdash, Saber; Gorji, Hassan Abolghasem; Shabaninejad, Hosein; Sadeghi-Bazargani, Homayoun

    2017-01-01

    Introduction Due to the large number of Road Traffic Injuries (RTIs) in Iran, authorities have implemented a number of policies for the prevention of RTIs. However, a scientific analysis of these policies has thus far been neglected. Therefore, this study was conducted for policy analysis of RTIs prevention in Iran. Methods This qualitative study with a case study approach was conducted in Iran during 2016 in two phases: First, by reviewing literature and documents of the past ten years, policies that have been executed to prevent RTIs in Iran were identified. In the second phase of the study, the identified policies were ranked by prioritization matrices. The two policies with the highest scores were selected. ‘Policy triangle framework’ was used for Policy analyzing. Stakeholders of these policies (42 people) were interviewed. Data were analyzed manually by implementing Content-Analysis methods. Results The policies of “pupil liaisons” and “safety belt” were selected for analysis from thirteen potential identified polices. The results of some studies revealed that safety belts had not been properly used in Iran (less than 80%). There was an eight-year hiatus between the approval of the safety belts policy and implementation of this policy. Eight actors were identified for safety belts policy. Lack of diligence in implementation of the policy, failing to pay adequate attention to education and the culture of driving, and failing to select an organization for the implementation of the policy, were identified as the main weaknesses of this policy. For ‘pupil liaisons’ policy, five actors were identified. Following the implementation of this policy, the number of penalties was reduced (17.9%). Neglecting scientific findings and individual-based nature of the policy were identified as the primary weaknesses of this policy. Conclusions Taking serious measures to properly execute the policy, educating people, selecting an efficient organization that is

  9. Single and Combined Effects of Air, Road, and Rail Traffic Noise on Sleep and Recuperation

    Science.gov (United States)

    Basner, Mathias; Müller, Uwe; Elmenhorst, Eva-Maria

    2011-01-01

    Study Objective: Traffic noise disturbs sleep and may impair recuperation. There is limited information on single and combined effects of air, road, and rail traffic noise on sleep and recuperation. Design: Repeated measures. Setting: Polysomnographic laboratory study. Participants: 72 healthy subjects, mean ± standard deviation 40 ± 13 years, range 18-71 years, 32 male. Interventions: Exposure to 40, 80, or 120 rail, road, and/or air traffic noise events. Measurement and Results: Subjects were investigated for 11 consecutive nights, which included 8 noise exposure nights and one noise-free control night. Noise effects on sleep structure and continuity were subtle, even in nights with combined exposure, most likely because of habituation and an increase in arousal thresholds both within and across nights. However, cardiac arousals did not habituate across nights. Noise exposure significantly affected subjective assessments of sleep quality and recuperation, whereas objective performance was unaffected, except for a small increase in mean PVT reaction time (+4 ms, adjusted P sleep structure and continuity, whereas subjective assessments of sleep were worse after nights with air and rail traffic noise exposure. In contrast to daytime annoyance, cortical arousal probabilities and cardiac responses were significantly lower for air than for road and rail traffic noise (all P 3 kHz) noise event components. Conclusions: Road, rail, and air traffic noise differentially affect objective and subjective assessments of sleep. Differences in the degree of noise-induced sleep fragmentation between traffic modes were explained by the specific spectral and temporal composition of noise events, indicating potential targets for active and passive noise control. Field studies are needed to validate our findings in a setting with higher ecologic validity. Citation: Basner M; Müller U; Elmenhorst EM. Single and combined effects of air, road, and rail traffic noise on sleep and

  10. Temporal and spatial variations in road traffic noise for different frequency components in metropolitan Taichung, Taiwan.

    Science.gov (United States)

    Wang, Ven-Shing; Lo, Ei-Wen; Liang, Chih-Hsiang; Chao, Keh-Ping; Bao, Bo-Ying; Chang, Ta-Yuan

    2016-12-01

    Road traffic noise exposure has been associated with auditory and non-auditory health effects, but few studies report noise characteristics. This study determines 24-h noise levels and analyzes their frequency components to investigate associations between seasons, meteorology, land-use types, and traffic. We set up 50 monitoring stations covering ten different land-use types and conducted measurements at three times of the year to obtain 24-h-average A-weighted equivalent noise levels (L Aeq , 24h ) and frequency analyses from 2013 to 2014 in Taichung, Taiwan. Information on land-use types, road parameters, traffic flow rates, and meteorological variables was also collected for analysis with the annual averages of road traffic noise and its frequency components. The annual average L Aeq , 24h in Taichung was 66.4 ± 4.7 A-weighed decibels (dBA). Significant differences in L Aeq , 24h and frequency components were observed between land-use types (all p-values Road width, traffic flow rates, and land-use types were significantly associated with annual average L Aeq , 24h (all p-values traffic (Spearman's coefficient = 0.795) and the highest prediction in the multiple linear regression (R 2  = 0.803; adjusted R 2  = 0.765). These findings reveal the spatial variation in road traffic noise exposure in Taichung. The highest correlation and predictive capacity was observed between this variation and noise levels at 125 Hz. We recommend that governmental agencies should take actions to reduce noise levels from traffic vehicles. Copyright © 2016 Elsevier Ltd. All rights reserved.

  11. Temporal distribution of air quality related to meteorology and road traffic in Madrid.

    Science.gov (United States)

    Perez-Martinez, Pedro J; Miranda, Regina M

    2015-04-01

    The impact of climatology--air temperature, precipitation and wind speed--and road traffic--volume, vehicle speed and percentage of heavy-duty vehicles (HDVs)--on air quality in Madrid was studied by estimating the effect for each explanatory variable using generalized linear regression models controlling for monthly variations, days of week and parameter levels. Every 1 m/s increase in wind speed produced a decrease in PM10 concentrations by 10.3% (95% CI 12.6-8.6) for all weekdays and by 12.4% (95% CI 14.9-9.8) for working days (up to the cut-off of 2.4 m/s). Increases of PM10 concentrations due to air temperature (7.2% (95% CI 6.2-8.3)) and traffic volume (3.3% (95% CI 2.9-3.8)) were observed at every 10 °C and 1 million vehicle-km increases for all weekdays; oppositely, slight decreases of PM10 concentrations due to percentage of HDVs (3.2% (95% CI 2.7-3.7)) and vehicle speed (0.7% (95% CI 0.6-0.8)) were observed at every 1% and 1 km/h increases. Stronger effects of climatology on air quality than traffic parameters were found.

  12. DRONE - a tool for urban traffic noise abatement policy evaluation

    OpenAIRE

    Bhaskar, A.; Chung, E.; Kuwahara, M.

    2005-01-01

    Areawide Dynamic ROad traffic NoisE simulator-DRONE, been has developed by the integration of a road traffic noise prediction model (ASJ MODEL-1998) with road traffic simulator (AVENUE) which is further linked with GIS to provide areawide dynamic road traffic noise contour maps. This tool provides an engineering solution for the prediction of road traffic noise in urban network. Noise reduction in an urban area can be achieved by noise abatement policie...

  13. AN EPIDEMIOLOGICAL STUDY OF ROAD TRAFFIC ACCIDENT CASES AT A TERTIARY CARE HOSPITAL IN RURAL HARYANA

    Directory of Open Access Journals (Sweden)

    Abhishek Singh

    2012-12-01

    Full Text Available Background- Accidents occur not only due to ignorance but also due to carelessness, thoughtlessness and over confidence. Human, vehicular and environmental factors play role before, during and after a Road Traffic Accidents (RTA. Road traffic injuries are partially predictable and hence preventable. Objectives- To study the pattern of road traffic accidents, socio demographic profile of road traffic injury victims seeking care at Maharishi Markandeshwar Institute of Medical Sciences And Research, Mullana and to study the antecedent factors influencing the road traffic accidents. Material and Methods-The present cross-sectional study was carried out at Maharishi Markandeshwar Institute of Medical Sciences and Research (MMIMSR, Mullana (Ambala. All the victims who reported to MMIMSR emergency and various OPD clinics of the institute between September 2009 to February 2011 were included in the study. Various parameters like age and sex distribution, time of occurrence, protective gears worn, injuries sustained, receipt of First -Aid, alcohol consumption, category of road user, vehicles involved in RTA, types of RTA, road conditions, environmental conditions etc were studied and valid conclusions were drawn. Results- There was a marked male preponderance (88.77 % with maximum involvement of younger age groups. Most of the accidents had taken place in the evening hours (6 pm -12 midnight. The vulnerable road users like motorized two wheeler, LMV and pedestrians constituted 41.52%, 19.39% and 13.41% respectively. Only 158 of 545 two-wheeler users wore a helmet at the time of injury. 16.24% of drivers did not have a valid driving license. Not using indicator lights and not following speed limits were two most common factors responsible for these RTA.

  14. Heterogeneous traffic flow modelling using second-order macroscopic continuum model

    Science.gov (United States)

    Mohan, Ranju; Ramadurai, Gitakrishnan

    2017-01-01

    Modelling heterogeneous traffic flow lacking in lane discipline is one of the emerging research areas in the past few years. The two main challenges in modelling are: capturing the effect of varying size of vehicles, and the lack in lane discipline, both of which together lead to the 'gap filling' behaviour of vehicles. The same section length of the road can be occupied by different types of vehicles at the same time, and the conventional measure of traffic concentration, density (vehicles per lane per unit length), is not a good measure for heterogeneous traffic modelling. First aim of this paper is to have a parsimonious model of heterogeneous traffic that can capture the unique phenomena of gap filling. Second aim is to emphasize the suitability of higher-order models for modelling heterogeneous traffic. Third, the paper aims to suggest area occupancy as concentration measure of heterogeneous traffic lacking in lane discipline. The above mentioned two main challenges of heterogeneous traffic flow are addressed by extending an existing second-order continuum model of traffic flow, using area occupancy for traffic concentration instead of density. The extended model is calibrated and validated with field data from an arterial road in Chennai city, and the results are compared with those from few existing generalized multi-class models.

  15. Road traffic injuries among riders of electric bike/electric moped in southern China.

    Science.gov (United States)

    Zhang, Xujun; Yang, Yaming; Yang, Jie; Hu, Jie; Li, Yang; Wu, Ming; Stallones, Lorann; Xiang, Henry

    2018-01-15

    Electric bike/moped-related road traffic injuries have become a burgeoning public health problem in China. The objective of this study was to identify the prevalence and potential risk factors of electric bike/moped-related road traffic injuries among electric bike/moped riders in southern China. A cross-sectional study was used to interview 3,151 electric bike/moped riders in southern China. Electric bike/moped-related road traffic injuries that occurred from July 2014 to June 2015 were investigated. Data were collected by face-to-face interviews and analyzed between July 2015 and June 2017. The prevalence of electric bike/moped-related road traffic injuries among the investigated riders was 15.99%. Electric bike/moped-related road traffic injuries were significantly associated with category of electric bike (adjusted odds ratio [AOR] = 1.36, 95% confidence interval [CI], 1.01-1.82), self-reported confusion (AOR = 1.77, 95% CI, 1.13-2.78), history of crashes (AOR = 6.14, 95% CI, 4.68-8.07), running red lights (AOR = 3.57, 95% CI, 2.42-5.25), carrying children while riding (AOR = 1.96, 95% CI, 1.37-2.85), carrying adults while riding (AOR = 1.68, 95% CI, 1.23-2.28), riding in the motor lane (AOR = 2.42, 95% CI, 1.05-3.93), and riding in the wrong traffic direction (AOR = 1.63, 95% CI, 1.13-2.35). In over 77.58% of electric bike/moped-related road traffic crashes, riders were determined by the police to be responsible for the crash. Major crash-causing factors included violating traffic signals or signs, careless riding, speeding, and riding in the wrong lane. Traffic safety related to electric bikes/moped is becoming more problematic with growing popularity compared with other 2-wheeled vehicles. Programs need to be developed to prevent electric bike/moped-related road traffic injuries in this emerging country.

  16. A CFD study on the effectiveness of trees to disperse road traffic emissions at a city scale

    Science.gov (United States)

    Jeanjean, A. P. R.; Hinchliffe, G.; McMullan, W. A.; Monks, P. S.; Leigh, R. J.

    2015-11-01

    This paper focuses on the effectiveness of trees at dispersing road traffic emissions on a city scale. CFD simulations of air-pollutant concentrations were performed using the OpenFOAM software platform using the k-ε model. Results were validated against the CODASC wind tunnel database before being applied to a LIDAR database of buildings and trees representing the City of Leicester (UK). Most other CFD models in the literature typically use idealised buildings to model wind flow and pollution dispersion. However, the methodology used in this study uses real buildings and trees data from LIDAR to reconstruct a 3D representation of Leicester City Centre. It focuses on a 2 × 2 km area which is on a scale larger than those usually used in other CFD studies. Furthermore, the primary focus of this study is on the interaction of trees with wind flow dynamics. It was found that in effect, trees have a regionally beneficial impact on road traffic emissions by increasing turbulence and reducing ambient concentrations of road traffic emissions by 7% at pedestrian height on average. This was an important result given that previous studies generally concluded that trees trapped pollution by obstructing wind flow in street canyons. Therefore, this study is novel both in its methodology and subsequent results, highlighting the importance of combining local and regional scale models for assessing the impact of trees in urban planning.

  17. Partial and Total Annoyance Due to Road Traffic Noise Combined with Aircraft or Railway Noise: Structural Equation Analysis

    Science.gov (United States)

    Gille, Laure-Anne; Marquis-Favre, Catherine; Lam, Kin-Che

    2017-01-01

    Structural equation modeling was used to analyze partial and total in situ annoyance in combined transportation noise situations. A psychophysical total annoyance model and a perceptual total annoyance model were proposed. Results show a high contribution of Noise exposure and Noise sensitivity to Noise annoyance, as well as a causal relationship between noise annoyance and lower Dwelling satisfaction. Moreover, the Visibility of noise source may increase noise annoyance, even when the visible noise source is different from the annoying source under study. With regards to total annoyance due to road traffic noise combined with railway or aircraft noise, even though in both situations road traffic noise may be considered background noise and the other noise source event noise, the contribution of road traffic noise to the models is greater than railway noise and smaller than aircraft noise. This finding may be explained by the difference in sound pressure levels between these two types of combined exposures or by the aircraft noise level, which may also indicate the city in which the respondents live. Finally, the results highlight the importance of sample size and variable distribution in the database, as different results can be observed depending on the sample or variables considered. PMID:29189751

  18. Developing a theoretical foundation to change road user behavior and improve traffic safety: Driving under the influence of cannabis (DUIC).

    Science.gov (United States)

    Ward, Nicholas J; Schell, William; Kelley-Baker, Tara; Otto, Jay; Finley, Kari

    2018-01-16

    This study explored a theoretical model to assess the influence of culture on willingness and intention to drive under the influence of cannabis (DUIC). This model is expected to guide the design of strategies to change future DUIC behavior in road users. This study used a survey methodology to obtain a nationally representative sample (n = 941) from the AmeriSpeak Panel. Survey items were designed to measure aspects of a proposed definition of traffic safety culture and a predictive model of its relationship to DUIC. Although the percentage of reported past DUIC behaviors was relatively low (8.5%), this behavior is still a significant public health issue-especially for younger drivers (18-29 years), who reported more DUIC than expected. Findings suggest that specific cultural components (attitudes, norms) reliably predict past DUIC behavior, general DUIC willingness, and future DUIC intention. Most DUIC behavior appears to be deliberate, related significantly to willingness and intention. Intention and willingness both appear to fully moderate the relationship between traffic safety culture and DUIC behavior. This study explored a theoretical model to understand road user behavior involving drug (cannabis)-impaired driving as a significant risk factor for traffic safety. By understanding the cultural factors that increase DUIC behavior, we can create strategies to transform this culture and sustain safer road user behavior.

  19. Road Assessment Model and Pilot Application in China

    Directory of Open Access Journals (Sweden)

    Tiejun Zhang

    2014-01-01

    Full Text Available Risk assessment of roads is an effective approach for road agencies to determine safety improvement investments. It can increases the cost-effective returns in crash and injury reductions. To get a powerful Chinese risk assessment model, Research Institute of Highway (RIOH is developing China Road Assessment Programme (ChinaRAP model to show the traffic crashes in China in partnership with International Road Assessment Programme (iRAP. The ChinaRAP model is based upon RIOH’s achievements and iRAP models. This paper documents part of ChinaRAP’s research work, mainly including the RIOH model and its pilot application in a province in China.

  20. Road Traffic Congestion Management Based on a Search-Allocation Approach

    Directory of Open Access Journals (Sweden)

    Raiyn Jamal

    2017-03-01

    Full Text Available This paper introduces a new scheme for road traffic management in smart cities, aimed at reducing road traffic congestion. The scheme is based on a combination of searching, updating, and allocation techniques (SUA. An SUA approach is proposed to reduce the processing time for forecasting the conditions of all road sections in real-time, which is typically considerable and complex. It searches for the shortest route based on historical observations, then computes travel time forecasts based on vehicular location in real-time. Using updated information, which includes travel time forecasts and accident forecasts, the vehicle is allocated the appropriate section. The novelty of the SUA scheme lies in its updating of vehicles in every time to reduce traffic congestion. Furthermore, the SUA approach supports autonomy and management by self-regulation, which recommends its use in smart cities that support internet of things (IoT technologies.

  1. Significance of chronic toxoplasmosis in epidemiology of road traffic accidents in Russian Federation.

    Science.gov (United States)

    Stepanova, Ekaterina V; Kondrashin, Anatoly V; Sergiev, Vladimir P; Morozova, Lola F; Turbabina, Natalia A; Maksimova, Maria S; Brazhnikov, Alexey I; Shevchenko, Sergei B; Morozov, Evgeny N

    2017-01-01

    Studies carried out in Moscow residents have revealed that the prevalence of chronic toxoplasmosis is very close to those in countries of Eastern and Central Europe. Our findings also demonstrated a statistically significant relationship between the rate of traffic accidents and the seroprevalence of chronic toxoplasmosis in drivers who were held responsible for accidents. The latter was 2.37 times higher in drivers who were involved in road accidents compared with control groups. These results suggest that the consequences of chronic toxoplasmosis (particularly a slower reaction time and decreased concentration) might contribute to the peculiarities of the epidemiology of road traffic accidents in the Russian Federation and might interfere with the successful implementation of the Federal Programme named "Increase road traffic safety". Suggestions for how to address overcome this problem are discussed in this paper.

  2. Analysis of the Contribution of the Road Traffic Industry to the PM2.5 Emission for Different Land-Use Types

    Directory of Open Access Journals (Sweden)

    Peng Xu

    2014-01-01

    Full Text Available Road dust and vehicle exhaust are the main sources of air pollution in cities, especially in recent years with the quantity of vehicles and transportation construction continuously soaring; the hazy weather has been a dominant urban pollution form which is widely concerned by the Chinese society. By establishing a relationship model between traffic and land use, then applying analytic hierarchy process on the data from air quality monitoring station, this paper concludes the influence of different traffic behavior on air pollution which provides support to abate urban air pollution caused by traffic reasons through taking measures to control traffic.

  3. Classification of Traffic Related Short Texts to Analyse Road Problems in Urban Areas

    Science.gov (United States)

    Saldana-Perez, A. M. M.; Moreno-Ibarra, M.; Tores-Ruiz, M.

    2017-09-01

    The Volunteer Geographic Information (VGI) can be used to understand the urban dynamics. In the classification of traffic related short texts to analyze road problems in urban areas, a VGI data analysis is done over a social media's publications, in order to classify traffic events at big cities that modify the movement of vehicles and people through the roads, such as car accidents, traffic and closures. The classification of traffic events described in short texts is done by applying a supervised machine learning algorithm. In the approach users are considered as sensors which describe their surroundings and provide their geographic position at the social network. The posts are treated by a text mining process and classified into five groups. Finally, the classified events are grouped in a data corpus and geo-visualized in the study area, to detect the places with more vehicular problems.

  4. Identification of black spots for traffic injury in road intersections dependence of injury definition

    DEFF Research Database (Denmark)

    Lund Hansen, Dennis; Lauritsen, Jens M

    2010-01-01

    Abstract Introduction In Denmark it is common practice that road administrations use black spot identification methods in planning. Assumed black spots are further reviewed based on traffic volume, modes of transportation and other considerations. For our region hospital based geo-located traffic...... accidents treated at three hospitals for a region covering roughly 0.5 mio persons were recorded routinely and subsequently geo-coded to exact location. For 8191 injured persons the traffic accident occurred in one of 2157 road intersections. In total the county holds 56.994 intersections. Hot spots were...... injury information has been available for about 20 years and in the current project the aim was to investigate whether different definitions of black spots (hot spots) would point at different intersections for further scrutiny. During the years 2002 to 2007 all 29 719 patient contacts due to traffic...

  5. Road traffic noise frequency and prevalent hypertension in Taichung, Taiwan: A cross-sectional study

    Science.gov (United States)

    2014-01-01

    Background Epidemiological studies have reported the association between hypertension and exposure to road traffic noise, but the association between noise frequency characteristics is not clear. This study investigated the association between exposure to different frequency components of road traffic noise and the prevalence of hypertension in central Taiwan. Methods We recruited 820 residents living near main roads for more than 3 years. Frequency components of traffic noise and traffic flow rates during 0900–1700 on weekdays were measured simultaneously in 2008. Multiple logistic regressions were conducted to estimate odds ratios (ORs) for diagnosed hypertension, adjusting for potential confounders and the total traffic flow rate. Results The high-exposure group (≥ the median of noise levels [decibels, dB]) at 63 Hz, 125 Hz and 1000 Hz had ORs for hypertension of 2.77 (95% confidence interval [CI]: 1.17-6.52), 4.08 (95% CI: 1.57-10.63) and 1.98 (1.00-3.92) (95% CI: 1.00-3.92), respectively, compared to the low-exposure group (road traffic noise at 63, 125 and 1000 Hz in all subjects and in men. Total subjects exposed to ≥ 51 dB at 125 Hz had an OR of 4.65 (95% CI = 1.46-14.83) compared to those exposed to road traffic noise at low and hearing-sensitive frequencies may be associated with hypertension and exposure to noise at 125 Hz may have the greatest risk for hypertension. PMID:24886205

  6. Modelling traffic pollution in streets

    Energy Technology Data Exchange (ETDEWEB)

    Berkowicz, R.; Hertel, O. [National Environmental Research Inst., Dept. of Atmospheric Environment, Roskilde (Denmark); Larsen, S.E.; Soerensen, N.N.; Nielsen, M. [Risoe National Lab., Dept. of Meteorology and Wind Energy, Roskilde (Denmark)

    1997-01-01

    This report concerns mainly the subject related to modelling air pollution from traffic in urban streets. A short overview is presented over the theoretical aspects and examples of most commonly used methods and models are given. Flow and dispersion conditions in street canyons are discussed and the presentation is substantiated with the analysis of the experimental data. The main emphasis is on the modelling methods that are suitable for routine applications and a more detailed presentation is given of the Operational Street Pollution Model (OSPM), which was developed by the National Environmental Research Institute. The model is used for surveillance of air pollution from traffic in Danish cities and also for special air pollution studies. (au) 76 refs.

  7. [Child-pedestrian injuries inflicted in the road traffic accidents as a forensic medical problem].

    Science.gov (United States)

    Savenkova, E N; Efimov, A A

    The road traffic accidents are known to make the greatest contribution to the overall structure of pediatric traumatism with the fatal outcome. The problem of pediatric traumatism remains on top of its relevancy despite numerous administrative, legal, technical, and financial measures taken at the government level in an attempt to reduce the mortality rate associated with the child-pedestrian injuries inflicted in the road traffic accidents. The objective of the present study was to summarize and interpret the results published in the scientific literature concerning child-pedestrian injuries inflicted in the road traffic accidents with special reference to the age of the victims and the type of the injury. The analysis of the publications of the domestic and foreign authors has demonstrated that the available data of interest remain to be systematized and that the forensic medical aspects of the problem in question are poorly represented in these materials. It was shown that forensic medical expertises of child-pedestrian injuries inflicted in the road traffic accidents are frequently carried out without taking into consideration the peculiar anatomical and physiological features of the child's organism. The available data concerning the mechanisms and evaluation of severe injuries inflicted to the children in the road traffic accidents are insufficient for the development of the algorithms for the relevant adequate forensic medical expertise. In the light of these findings, the problem of the child-pedestrian injuries inflicted in the road traffic accidents takes on new significance when considered in the context of pediatric traumatism. There is evidently the growing necessity to formulate the universal database containing systematized objective information for the development of new methods of forensic medical expertise for the elucidation of the mechanisms of road traffic injuries inflicted to the children of different age groups depending on the type of the

  8. A review of models relevant to road safety.

    Science.gov (United States)

    Hughes, B P; Newstead, S; Anund, A; Shu, C C; Falkmer, T

    2015-01-01

    It is estimated that more than 1.2 million people die worldwide as a result of road traffic crashes and some 50 million are injured per annum. At present some Western countries' road safety strategies and countermeasures claim to have developed into 'Safe Systems' models to address the effects of road related crashes. Well-constructed models encourage effective strategies to improve road safety. This review aimed to identify and summarise concise descriptions, or 'models' of safety. The review covers information from a wide variety of fields and contexts including transport, occupational safety, food industry, education, construction and health. The information from 2620 candidate references were selected and summarised in 121 examples of different types of model and contents. The language of safety models and systems was found to be inconsistent. Each model provided additional information regarding style, purpose, complexity and diversity. In total, seven types of models were identified. The categorisation of models was done on a high level with a variation of details in each group and without a complete, simple and rational description. The models identified in this review are likely to be adaptable to road safety and some of them have previously been used. None of systems theory, safety management systems, the risk management approach, or safety culture was commonly or thoroughly applied to road safety. It is concluded that these approaches have the potential to reduce road trauma. Copyright © 2014 Elsevier Ltd. All rights reserved.

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

    OpenAIRE

    Hussin A.M. Yahia; Amiruddin Ismail

    2014-01-01

    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 positiv...

  10. [Study on illegal driving behavior and vehicle road traffic injury in China from 2006 to 2010].

    Science.gov (United States)

    Dai, Jing; Yang, Yunjuan

    2015-06-01

    To study the characteristics and trend of illegal driving behavior in China to provide evidence for related policy enforcement. Using indices as death rate of ten thousand vehicle, death rate per 100 000 population, thousands of road mileage, degree of motorization and death ratio etc. to analyze the current situation, characteristics of illegal vehicle driving behavior related to road traffic injuries, in China. From 2006 to 2010, death ratio on vehicle road traffic injuries related to the top five illegal driving behaviors were as follows: speeding (from 0.33 down to 0.17), on refuse to give way to others (from 0.26 to 0.14), on driving without license (from 0.21 to 0.08), on illegal driving encroachment (from 0.17 to 0.04) and on reverse driving (from 0.11 to 0.07). Death rates related to vehicle road traffic injuries on drunk driving or fatigue driving were 0.04 in 2010 and 0.02 in 2010, respectively. Despite the fact that the number of vehicle road traffic injuries appeared a declining trend, the severity was increasing. Illegal driving behavior was still prevalent in China.

  11. Exploring Measures to Control Road Traffic Injuries in Iran: Key Informants Points of View.

    Science.gov (United States)

    Salari, Hedayat; Motevalian, Seyed Abbas; Arab, Mohammad; Esfandiari, Atefeh; Akbari Sari, Ali

    2017-05-01

    Injuries and fatalities from road traffic Injuries are global public health concerns, and a major problem in the Iran. This study aimed to explore strategies to control road traffic Injuries (RTI) in Iran. We conducted a qualitative study to explore possible ways to reduce the occurrence of road traffic Injuries in Iran in 2016. Interviewees were purposively sampled from various sectors due to multidisciplinary nature of RTIs. Participants were mainly representatives from the police, Ministry of Road, Municipal, emergency services and Ministry of Health. Besides, public health authorities, researchers, and university professors were interviewed. We conducted in-depth interviews using generic guides. Data was analyzed using MAXQDA 10 software. Through content analysis, we interpreted core themes relevant to the accomplishment of our study objectives. Themes that emerged from our study include; road traffic management, governance, education, improving accident database, enforcement, driving license restrictions, and construction of pedestrian overpass. This study revealed key informants' views regarding available and affordable solutions to reduce RTIs in Iran. Many applicable strategies are identified in the control of RTIs in Iran. Although some solutions such as highway construction and/or expanding rail transportation have been suggested as effective measures for reducing accident, but they are costly and may not be fully applied in developing countries like Iran.

  12. Vuosaari Harbour Road Tunnel Traffic Management and Incident Detection System Design Issues

    Directory of Open Access Journals (Sweden)

    Caj Holm

    2006-11-01

    Full Text Available Helsinki is constructing in Vuosaari a new modem and effectivecargo harbour. All cargo harbour activities will be concentratedthere. The total project includes the harbour, a logisticsarea, traffic connections (road, railway and fairway and aBusiness Park. The road connection goes through the Porvarinlahtiroad tunnel. The harbour will commence operatingin 2008. This paper gives an oveTView of the tunnel design phasefunctional studies and risk analysis tunnel incident detectionsystem design issues and some specific environmental featuresof the tunnel.

  13. The Vehicles Traffic Flow Optimization in an Urban Transportation System by Using Simulation Modeling

    Directory of Open Access Journals (Sweden)

    Coman Marin-Marian

    2017-09-01

    Full Text Available The urban transportation system is characterized by the urban roads development and growth of road traffic, which leads, most of the time, to a series of congestions in the vehicles traffic. Consequently, due to a high time duration spent on the road traffic, the travel time from a location to another one could be very upsetting for any car drivers, or embarrassing for emergency services and vehicle convoys that carry goods or sensitive items. Those are mainly reasons for using simulation modeling to analyze and optimize the travel time of the road traffic actors in the an urban transportation system. This paper focuses on optimization vehicles flow in a crowded area of Sibiu city, by using agent-based modeling concept and AnyLogic simulation modeling software.

  14. Towards the development of a scientifically accountable, comprehensive and integrated national road traffic safety databank in South Africa

    CSIR Research Space (South Africa)

    Mynhardt, DC

    2014-07-01

    Full Text Available This paper provides background on and summarises the main findings of an investigation into the need for a National Road Traffic Safety Databank (NRTSD) in South Africa. The research findings confirmed the study’s hypotheses that (1) road traffic...

  15. Appraisals and Cognitive Coping Styles Associated with Chronic Post-Traumatic Symptoms in Child Road Traffic Accident Survivors

    Science.gov (United States)

    Stallard, Paul; Smith, Elisabeth

    2007-01-01

    Background: Comparatively little is known about the cognitive appraisals and coping styles of child road traffic accident (RTA) survivors that are associated with chronic post-traumatic reactions. Methods: Seventy-five children and young people aged 7-18 who were involved in a road traffic accident and attended an accident and emergency department…

  16. The age-dependent incidence of injuries due to road traffic accidents in Odense, Denmark from 1980 to 1992

    DEFF Research Database (Denmark)

    Larsen, L B; Poulsen, T K; Johannsen, H G

    1995-01-01

    The study was based on data concerning persons treated at Odense University Hospital as a result of road traffic accidents in the period 1980-92. Incidence rates of road traffic accident injuries were calculated on the basis of the population in Odense municipality. The study group included perso...

  17. Model for Predicting Traffic Signs Functional Service Life – The Republic of Croatia Case Study

    Directory of Open Access Journals (Sweden)

    Dario Babić

    2017-06-01

    Full Text Available Traffic signs are the basic elements of communication between the relevant road authorities and road users. They manage, regulate, inform and warn road users to ensure their safe movement throughout transport networks. Traffic signs must be timely visible to all traffic participants in all weather and traffic conditions in order to fulfil their function, which means they must have satisfactory retroreflection properties. This paper presents a research of the deterioration of traffic signs retroreflection. The aim of this article is to develop models that will effectively enable predicting the retroreflection of traffic signs and thus optimize the maintenance activities and replacement of road signs to increase road safety. The research included measurements of retroreflection of retroreflective material Classes I and II (white, red and blue colour and Class III (red and yellow colour. Based on the collected data from the City of Zagreb (Republic of Croatia, the authors developed the models to estimate the functional service life of certain colours and materials used to make traffic signs. Considering that the average coefficient of determination for all the models is between 0.55-0.60, they present an effective tool in the traffic sign maintenance system.

  18. Data-driven modeling of transportation systems and traffic data analysis during a major power outage in the Netherlands

    NARCIS (Netherlands)

    Melnikov, V.R.; Krzhizhanovskaya, V.V.; Boukhanovsky, A.V.; Sloot, P.M.A.

    2015-01-01

    Efficient methods and tools for road network planning and traffic management are critically important in the ever more urbanized world. The goal of our research is the development of a data-driven multiscale modeling approach for accurate simulation of road traffic in real-life transportation

  19. The burden of road traffic crashes, injuries and deaths in Africa: a systematic review and meta-analysis.

    Science.gov (United States)

    Adeloye, Davies; Thompson, Jacqueline Y; Akanbi, Moses A; Azuh, Dominic; Samuel, Victoria; Omoregbe, Nicholas; Ayo, Charles K

    2016-07-01

    To estimate the burden of road traffic injuries and deaths for all road users and among different road user groups in Africa. We searched MEDLINE, EMBASE, Global Health, Google Scholar, websites of African road safety agencies and organizations for registry- and population-based studies and reports on road traffic injury and death estimates in Africa, published between 1980 and 2015. Available data for all road users and by road user group were extracted and analysed. We conducted a random-effects meta-analysis and estimated pooled rates of road traffic injuries and deaths. We identified 39 studies from 15 African countries. The estimated pooled rate for road traffic injury was 65.2 per 100 000 population (95% confidence interval, CI: 60.8-69.5) and the death rate was 16.6 per 100 000 population (95% CI: 15.2-18.0). Road traffic injury rates increased from 40.7 per 100 000 population in the 1990s to 92.9 per 100 000 population between 2010 and 2015, while death rates decreased from 19.9 per 100 000 population in the 1990s to 9.3 per 100 000 population between 2010 and 2015. The highest road traffic death rate was among motorized four-wheeler occupants at 5.9 per 100 000 population (95% CI: 4.4-7.4), closely followed by pedestrians at 3.4 per 100 000 population (95% CI: 2.5-4.2). The burden of road traffic injury and death is high in Africa. Since registry-based reports underestimate the burden, a systematic collation of road traffic injury and death data is needed to determine the true burden.

  20. Holonic Models for Traffic Control Systems

    Science.gov (United States)

    Ciufudean, Calin; Filote, Constantin

    This paper proposes a new time-placed net model for traffic control systems, respectively railway control traffic systems. This model can be interpreted as a holonic one, and contains three modules: Transport Planning Module, Transport Control Module and Priority Control Module. For railway traffic systems we introduce a strategy in a timed-place Petri net model to solve collision and traffic jam problems.

  1. Distributed modeling for road authorities

    NARCIS (Netherlands)

    Luiten, G.T.; Bõhms, H.M.; Nederveen, S. van; Bektas, E.

    2013-01-01

    A great challenge for road authorities is to improve the effectiveness and efficiency of their core processes by improving data exchange and sharing using new technologies such as building information modeling (BIM). BIM has already been successfully implemented in other sectors, such as

  2. Road traffic injuries to children during the school commute in Hyderabad, India: cross-sectional survey.

    Science.gov (United States)

    Tetali, Shailaja; Edwards, P; Murthy, G V S; Roberts, I

    2016-06-01

    India is motorising rapidly. With increasing motorisation, road traffic injuries are predicted to increase. A third of a billion children travel to school every day in India, but little is known about children's safety during the school commute. We investigated road traffic injury to children during school journeys. We conducted a cross-sectional survey in Hyderabad using a two-stage stratified cluster sampling design. We used school travel questionnaires to record any road injury in the past 12 months that resulted in at least 1 day of school missed or required treatment by a doctor or nurse. We estimated the prevalence of road injury by usual mode of travel and distance to school. The total sample was 5842 children, of whom 5789 (99.1%) children answered the question on road injury. The overall prevalence of self-reported road injury in the last 12 months during school journeys was 17% (95% CI 12.9% to 21.7%). A higher proportion of boys (25%) reported a road injury than girls (11%). There was a strong association between road injury, travel mode and distance to school. Children who cycled to school were more likely to be injured compared with children who walked (OR 1.5; 95% CI 1.2 to 2.0). Travel by school bus was safer than walking (OR 0.5; 95% CI 0.3 to 0.9). A sixth of the children reported a road traffic injury in the past 12 months during school journeys in Hyderabad. Injury prevention interventions should focus on making walking and cycling safer for children. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  3. Pedestrian Traffic Conditions of Rural Roads and Built-Up Areas: The Analysis of the Existing Situation and Possibilities of Improving Traffic Conditions

    Directory of Open Access Journals (Sweden)

    Nemunas Abukauskas

    2011-03-01

    Full Text Available The results of lengthy thorough investigations into traffic safety situation show that the percentage of pedestrians getting involved in road traffic accidents on Lithuanian roads is significantly higher (more than 33 % of the total number of injury and fatal accidents than that compared to the other European Union member-states. The article studies traffic safety problems and their factors causing the largest influence on the occurrence of these accidents. Considering valuable experience gained by foreign countries, investigation was carried out to establish general and main factors causing insufficient road safety conditions and significance of these factors to road safety. The article also shows the main activity improving road safety in Lithuania and discusses the effectiveness of strategic and local (temporary and long term measures to improve conditions for pedestrian road safety. Article in Lithuanian

  4. Road traffic mortality in the Slovak Republic in 1996-2014.

    Science.gov (United States)

    Brazinova, Alexandra; Majdan, Marek

    2016-10-02

    Road traffic mortality takes an enormous toll in every society. Transport safety interventions play a crucial role in improving the situation. In the period 1996-2014 several road safety measures, including a complex new road traffic law in 2009, were implemented in the Slovak Republic, introducing stricter conditions for road users. The aim of this study is to describe and analyze the trends in road user mortality in the Slovak Republic in individual age groups by sex during the study period 1996-2014. Data on overall mortality in the Slovak Republic for the period 1996-2014 were obtained from the Statistical Office of the Slovak Republic. Mortality rates were age-adjusted to the European standard population. Joinpoint regression was used to assess the statistical significance of change in time trends of calculated standardized mortality rates. Mortality rates of all types of road users as well as all age groups and both sexes in the Slovak Republic in the period 1996-2014 are decreasing. The male : female ratio decreased from 4:1 in 1996 to 2:1 in 2014. Motor vehicle users (other than motorcyclists) and pedestrians have the highest mortality rates among road user groups. Both of these groups show a significant decline in mortality rates over the study period. Within the age groups, people age 65 years and over have the highest mortality rates, followed by the age groups 25-64 and 15-24 years old. Joinpoint regression confirmed a steady, significant decline in all mortality rates over the study period. A statistically significant decrease in mortality rates in the last years of the study period was observed in the age group 25-64 and in male motorcycle users. Assessing the impact of the 2009 road traffic law, a drop was observed in the average standardized mortality rate of all road traffic users from 14.56 per 100,000 person years in the period 1996-2008 to 7.69 per 100,000 person years in the period 2009-2014. A similar drop in the average standardized

  5. Roads at risk: traffic detours from debris flows in southern Norway

    Science.gov (United States)

    Meyer, N. K.; Schwanghart, W.; Korup, O.; Nadim, F.

    2015-05-01

    Globalisation and interregional exchange of people, goods, and services has boosted the importance of and reliance on all kinds of transport networks. The linear structure of road networks is especially sensitive to natural hazards. In southern Norway, steep topography and extreme weather events promote frequent traffic disruption caused by debris flows. Topographic susceptibility and trigger frequency maps serve as input into a hazard appraisal at the scale of first-order catchments to quantify the impact of debris flows on the road network in terms of a failure likelihood of each link connecting two network vertices, e.g. road junctions. We compute total additional traffic loads as a function of traffic volume and excess distance, i.e. the extra length of an alternative path connecting two previously disrupted network vertices using a shortest-path algorithm. Our risk metric of link failure is the total additional annual traffic load, expressed as vehicle kilometres, because of debris-flow-related road closures. We present two scenarios demonstrating the impact of debris flows on the road network and quantify the associated path-failure likelihood between major cities in southern Norway. The scenarios indicate that major routes crossing the central and north-western part of the study area are associated with high link-failure risk. Yet options for detours on major routes are manifold and incur only little additional costs provided that drivers are sufficiently well informed about road closures. Our risk estimates may be of importance to road network managers and transport companies relying on speedy delivery of services and goods.

  6. CEDR Transnational Road Research Programme : Call 2013: Traffic Management: Implementation of Innovation in Traffic Management. METHOD (Managing European Traffic using Human-Oriented Designs), WP 1, Deliverable 2: Human Factors in Traffic Management; Information and advice for European traffic management practitioners.

    NARCIS (Netherlands)

    Schagen, I.N.L.G. van & Vissers, L.

    2017-01-01

    Road traffic management is an umbrella term. It encompasses all measures that (re)direct traffic flows over the road network, so that the movements of people and goods are optimised for reliability, safety and environmental sustainability. The levels of road mobility continue to increase year on

  7. Implications of the road traffic and aircraft noise exposure and children's cognition and health (RANCH) study results for classroom acoustics

    Science.gov (United States)

    Stansfeld, Stephen A.; Clark, Charlotte

    2005-04-01

    Studies in West London have found associations between aircraft noise exposure and childrens' cognitive performance. This has culminated in the RANCH Study examining exposure-effect associations between aircraft and road traffic noise exposure and cognitive performance and health. The RANCH project, the largest cross-sectional study of noise and childrens health, examined 2844 children, 9-10 years old, from 89 schools around three major airports: in the Netherlands, Spain and the United Kingdom. Children were selected by external aircraft and road traffic noise exposure at school predicted from noise contour maps, modeling and on-site measurements. A substudy indicated high internal levels of noise within classrooms. Schools were matched for socioeconomic position within countries. Cognitive and health outcomes were measured by standardized tests and questionnaires administered in the classroom. A parental questionnaire collected information on socioeconomic position, parental education and ethnicity. Linear exposure-effect associations were found between chronic aircraft noise exposure and impairment of reading comprehension and recognition memory, maintained after adjustment for mothers education, socioeconomic factors, longstanding illness and classroom insulation. Road traffic noise exposure was linearly associated with episodic memory. The implications of these results for childrens' learning environments will be discussed. [Work supported by European Community (QLRT-2000-00197) Vth framework program.

  8. A model of traffic signs recognition with convolutional neural network

    Science.gov (United States)

    Hu, Haihe; Li, Yujian; Zhang, Ting; Huo, Yi; Kuang, Wenqing

    2016-10-01

    In real traffic scenes, the quality of captured images are generally low due to some factors such as lighting conditions, and occlusion on. All of these factors are challengeable for automated recognition algorithms of traffic signs. Deep learning has provided a new way to solve this kind of problems recently. The deep network can automatically learn features from a large number of data samples and obtain an excellent recognition performance. We therefore approach this task of recognition of traffic signs as a general vision problem, with few assumptions related to road signs. We propose a model of Convolutional Neural Network (CNN) and apply the model to the task of traffic signs recognition. The proposed model adopts deep CNN as the supervised learning model, directly takes the collected traffic signs image as the input, alternates the convolutional layer and subsampling layer, and automatically extracts the features for the recognition of the traffic signs images. The proposed model includes an input layer, three convolutional layers, three subsampling layers, a fully-connected layer, and an output layer. To validate the proposed model, the experiments are implemented using the public dataset of China competition of fuzzy image processing. Experimental results show that the proposed model produces a recognition accuracy of 99.01 % on the training dataset, and yield a record of 92% on the preliminary contest within the fourth best.

  9. Traffic Analysis and Road Accidents: A Case Study of Hyderabad using GIS

    International Nuclear Information System (INIS)

    Bhagyaiah, M; Shrinagesh, B

    2014-01-01

    Globalization has impacted many developing countries across the world. India is one such country, which benefited the most. Increased, economic activity raised the consumption levels of the people across the country. This created scope for increase in travel and transportation. The increase in the vehicles since last 10 years has put lot of pressure on the existing roads and ultimately resulting in road accidents. It is estimated that since 2001 there is an increase of 202 percent of two wheeler and 286 percent of four wheeler vehicles with no road expansion. Motor vehicle crashes are a common cause of death, disability and demand for emergency medical care. Globally, more than 1 million people die each year from traffic crashes and about 20-50 million are injured or permanently disabled. There has been increasing trend in road accidents in Hyderabad over a few years. GIS helps in locating the accident hotspots and also in analyzing the trend of road accidents in Hyderabad

  10. On the electric signal direction indicator for teh control of road traffic ...

    African Journals Online (AJOL)

    An electronic signal direction indicator (ESDI) for the control of road traffic has been designed, constructed and studied. The construction was done using 555 timer IC, a transistor-transistor logic compatible device that can operate in several modes as the major active element. The ESDI system circuit is reliable, satisfactorily ...

  11. An estimate of the unit cost of road traffic collisions in South Africa for 1998

    CSIR Research Space (South Africa)

    Schutte, IC

    2000-03-01

    Full Text Available Road traffic collision result in both human loss and cost to the company. Government and other role players addressing this problem require reliable information on the cost of collisions to the economy. Collisions costs are also used in the economic...

  12. Road traffic collisions in Malawi: Trends and patterns of mortality on ...

    African Journals Online (AJOL)

    Background: Worldwide, 90% of injury deaths occur in low- and middle-income countries (LMIC). Road traffic collisions (RTCs) are increasingly common and result in more death and disability in the developing world than in the developed world. We aimed to examine the prehospital case fatality rate from RTCs in Malawi.

  13. Road traffic noise and incident myocardial infarction: a prospective cohort study

    NARCIS (Netherlands)

    Sørensen, M.; Andersen, Z.J.; Nordsborg, R.B.; Jensen, S.; Lillelund, K.G.; Beelen, R.M.J.; Schmidt, E.B.; Tjønneland, A.; Overvad, K.; Raaschou-Nielsen, O.

    2012-01-01

    BACKGROUND Both road traffic noise and ambient air pollution have been associated with risk for ischemic heart disease, but only few inconsistent studies include both exposures. METHODS In a population-based cohort of 57 053 people aged 50 to 64 years at enrolment in 1993-1997, we identified 1600

  14. Comparisons of Traffic Collisions between Expressways and Rural Roads in Truck Drivers

    Directory of Open Access Journals (Sweden)

    Sangbok Lee

    2016-03-01

    Conclusion: This study can be used as a guideline and a base line to develop a plan of action to prevent traffic accidents. It can also help to prepare formal regulations about a truck driver's vehicle maintenance and driving attitude for a precaution on road accidents.

  15. Road traffic injuries in an urban area in Mexico. An epidemiological and cost analysis.

    Science.gov (United States)

    Híjar, Martha; Arredondo, Armando; Carrillo, Carlos; Solórzano, Luis

    2004-01-01

    The objective of this study was to do an epidemiological and costs analysis of the impact of road traffic injuries on the demand for emergency room services at hospitals located in the city of Cuernavaca, Mexico. The studied population included injured people who demanded medical attention at the emergency room for injuries due to events in public places, occurring between February and April 2001. Trained interviewers collected the data at the emergency room, 24h a day. The statistical analysis included simple and bivariate analysis using chi(2) odds ratio (OR), and a confidence interval of 95%. The costs analysis included the expenses during the process of searching for and finding care for injuries. There were 433 injured people, 233 (54%) were victims of road traffic accidents, 72% of crashes, and 28% were injured pedestrian and cyclists. Variables associated with the demand of emergency care due to road traffic injuries in comparison with other accidents, were: severity of injuries (OR 2.60, CI 1.44-4.71), and thorax injury (OR 4.64, CI 1.03-20.89). Pedestrians had higher costs for health care and 80% of them had to pay out-of-pocket (Pcosts analysis in approaching the problem of road traffic injuries. Similar methods must be used, especially in developing countries, to reduce this important public health problem.

  16. Fatal road traffic accidents in Mauritius (2006 – 2011) – A ...

    African Journals Online (AJOL)

    Arun Kumar Agnihotri

    2016-01-13

    Jan 13, 2016 ... “passenger” to seated passengers of car, bus and lorry, “helper” to anyone who was the standing passenger in the lorry and. “conductor” to bus conductor. Excel 2007 was used for the statistical analysis of data. RESULTS. Figure 1 shows the distribution of fatal road traffic accidents in Mauritius from 01.

  17. Road Traffic Accidents In Uyo Urban, Akwa Ibom State: The Scourge ...

    African Journals Online (AJOL)

    A retrospective study of one thousand, two hundred accident victims managed in the State\\'s apex hospital, the University of Uyo Teaching Hospital in the year 2002 is presented. The aim was to determnie the scope of Road Traffic accidents in Uyo Urban, the hub of Akwa Ibom State commercial life, the role of motor cycles ...

  18. Medico-Legal Deaths From Road Traffic Accidents In Sagamu, Nigeria

    African Journals Online (AJOL)

    Background: Road Traffic Accidents (RTA's) are a leading cause of death worldwide. Deaths that occur after the first hour of trauma are regarded as preventable deaths. Objectives: To evaluate the pattern and causes of death in the first 24hrs after RTA's. Design: Retrospective study. Setting: Olabisi Onabanjo University ...

  19. Gestational diabetes mellitus and exposure to ambient air pollution and road traffic noise

    DEFF Research Database (Denmark)

    Pedersen, Marie; Olsen, Sjurdur F; Halldorsson, Thorhallur I

    2017-01-01

    Background: Road traffic is a main source of air pollution and noise. Both exposures have been associated with type 2 diabetes, but associations with gestational diabetes mellitus (GDM) have been studied less. Objectives: We aimed to examine single and joint associations of exposure to air pollut...

  20. Crash Frequency Modeling Using Real-Time Environmental and Traffic Data and Unbalanced Panel Data Models.

    Science.gov (United States)

    Chen, Feng; Chen, Suren; Ma, Xiaoxiang

    2016-06-18

    Traffic and environmental conditions (e.g., weather conditions), which frequently change with time, have a significant impact on crash occurrence. Traditional crash frequency models with large temporal scales and aggregated variables are not sufficient to capture the time-varying nature of driving environmental factors, causing significant loss of critical information on crash frequency modeling. This paper aims at developing crash frequency models with refined temporal scales for complex driving environments, with such an effort providing more detailed and accurate crash risk information which can allow for more effective and proactive traffic management and law enforcement intervention. Zero-inflated, negative binomial (ZINB) models with site-specific random effects are developed with unbalanced panel data to analyze hourly crash frequency on highway segments. The real-time driving environment information, including traffic, weather and road surface condition data, sourced primarily from the Road Weather Information System, is incorporated into the models along with site-specific road characteristics. The estimation results of unbalanced panel data ZINB models suggest there are a number of factors influencing crash frequency, including time-varying factors (e.g., visibility and hourly traffic volume) and site-varying factors (e.g., speed limit). The study confirms the unique significance of the real-time weather, road surface condition and traffic data to crash frequency modeling.