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Sample records for modelled road traffic

  1. Modeling Road Traffic Using Service Center

    Directory of Open Access Journals (Sweden)

    HARAGOS, I.-M.

    2012-05-01

    Full Text Available Transport systems have an essential role in modern society because they facilitate access to natural resources and they stimulate trade. Current studies aimed at improving transport networks by developing new methods for optimization. Because of the increase in the global number of cars, one of the most common problems facing the transport network is congestion. By creating traffic models and simulate them, we can avoid this problem and find appropriate solutions. In this paper we propose a new method for modeling traffic. This method considers road intersections as being service centers. A service center represents a set consisting of a queue followed by one or multiple servers. This model was used to simulate real situations in an urban traffic area. Based on this simulation, we have successfully determined the optimal functioning and we have computed the performance measures.

  2. 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

  3. A COMPACT MODEL FOR PREDICTING ROAD TRAFFIC NOISE

    Directory of Open Access Journals (Sweden)

    R. Golmohammadi ، M. Abbaspour ، P. Nassiri ، H. Mahjub

    2009-07-01

    Full Text Available Noise is one of the most important sources of pollution in the metropolitan areas. The recognition of road traffic noise as one of the main sources of environmental pollution has led to develop models that enable us to predict noise level from fundamental variables. Traffic noise prediction models are required as aids in the design of roads and sometimes in the assessment of existing, or envisaged changes in, traffic noise conditions. The purpose of this study was to design a prediction road traffic noise model from traffic variables and conditions of transportation in Iran.This paper is the result of a research conducted in the city of Hamadan with the ultimate objective of setting up a traffic noise model based on the traffic conditions of Iranian cities. Noise levels and other variables have been measured in 282 samples to develop a statistical regression model based on A-weighted equivalent noise level for Iranian road condition. The results revealed that the average LAeq in all stations was 69.04± 4.25 dB(A, the average speed of vehicles was 44.57±11.46 km/h and average traffic load was 1231.9 ± 910.2 V/h.The developed model has seven explanatory entrance variables in order to achieve a high regression coefficient (R2=0.901. Comparing means of predicted and measuring equivalent sound pressure level (LAeq showed small difference less than -0.42 dB(A and -0.77 dB(A for Tehran and Hamadan cities, respectively. The suggested road traffic noise model can be effectively used as a decision support tool for predicting equivalent sound pressure level index in the cities of Iran.

  4. [Development of forecasting models for fatal road traffic injuries].

    Science.gov (United States)

    Tan, Aichun; Tian, Danping; Huang, Yuanxiu; Gao, Lin; Deng, Xin; Li, Li; He, Qiong; Chen, Tianmu; Hu, Guoqing; Wu, Jing

    2014-02-01

    To develop the forecasting models for fatal road traffic injuries and to provide evidence for predicting the future trends on road traffic injuries. Data on the mortality of road traffic injury including factors as gender and age in different countries, were obtained from the World Health Organization Mortality Database. Other information on GDP per capita, urbanization, motorization and education were collected from online resources of World Bank, WHO, the United Nations Population Division and other agencies. We fitted logarithmic models of road traffic injury mortality by gender and age group, including predictors of GDP per capita, urbanization, motorization and education. Sex- and age-specific forecasting models developed by WHO that including GDP per capita, education and time etc. were also fitted. Coefficient of determination(R(2)) was used to compare the performance between our modes and WHO models. 2 626 sets of data were collected from 153 countries/regions for both genders, between 1965 and 2010. The forecasting models of road traffic injury mortality based on GDP per capita, motorization, urbanization and education appeared to be statistically significant(P forecasting models that we developed seemed to be better than those developed by WHO.

  5. Comparison of road traffic emission models in Madrid (Spain)

    Science.gov (United States)

    Borge, Rafael; de Miguel, Isabel; de la Paz, David; Lumbreras, Julio; Pérez, Javier; Rodríguez, Encarnación

    2012-12-01

    Many cities in Europe have difficulties to meet the air quality standards set by the European legislation, most particularly the annual mean Limit Value for NO2. Road transport is often the main source of air pollution in urban areas and therefore, there is an increasing need to estimate current and future traffic emissions as accurately as possible. As a consequence, a number of specific emission models and emission factors databases have been developed recently. They present important methodological differences and may result in largely diverging emission figures and thus may lead to alternative policy recommendations. This study compares two approaches to estimate road traffic emissions in Madrid (Spain): the COmputer Programme to calculate Emissions from Road Transport (COPERT4 v.8.1) and the Handbook Emission Factors for Road Transport (HBEFA v.3.1), representative of the 'average-speed' and 'traffic situation' model types respectively. The input information (e.g. fleet composition, vehicle kilometres travelled, traffic intensity, road type, etc.) was provided by the traffic model developed by the Madrid City Council along with observations from field campaigns. Hourly emissions were computed for nearly 15 000 road segments distributed in 9 management areas covering the Madrid city and surroundings. Total annual NOX emissions predicted by HBEFA were a 21% higher than those of COPERT. The discrepancies for NO2 were lower (13%) since resulting average NO2/NOX ratios are lower for HBEFA. The larger differences are related to diesel vehicle emissions under "stop & go" traffic conditions, very common in distributor/secondary roads of the Madrid metropolitan area.In order to understand the representativeness of these results, the resulting emissions were integrated in an urban scale inventory used to drive mesoscale air quality simulations with the Community Multiscale Air Quality (CMAQ) modelling system (1 km2 resolution). Modelled NO2 concentrations were compared

  6. Modelling the Magnetic Disturbances Due to Road-Traffic

    Directory of Open Access Journals (Sweden)

    J -J Schott

    2011-07-01

    Full Text Available Magnetic disturbances due to the traffic are tentatively modelled assuming that the sources are moving dipoles. The influencing section of the road ("useful" portion should be modelled in 3D. The parameters of the model (time of closest position to the magnetometer, velocity, including its sign, dipole moment are fairly accurately estimated. The fit is improved with the incorporation of a small induction effect.

  7. Road traffic impact on urban water quality: a step towards integrated traffic, air and stormwater modelling.

    Science.gov (United States)

    Fallah Shorshani, Masoud; Bonhomme, Céline; Petrucci, Guido; André, Michel; Seigneur, Christian

    2014-04-01

    Methods for simulating air pollution due to road traffic and the associated effects on stormwater runoff quality in an urban environment are examined with particular emphasis on the integration of the various simulation models into a consistent modelling chain. To that end, the models for traffic, pollutant emissions, atmospheric dispersion and deposition, and stormwater contamination are reviewed. The present study focuses on the implementation of a modelling chain for an actual urban case study, which is the contamination of water runoff by cadmium (Cd), lead (Pb), and zinc (Zn) in the Grigny urban catchment near Paris, France. First, traffic emissions are calculated with traffic inputs using the COPERT4 methodology. Next, the atmospheric dispersion of pollutants is simulated with the Polyphemus line source model and pollutant deposition fluxes in different subcatchment areas are calculated. Finally, the SWMM water quantity and quality model is used to estimate the concentrations of pollutants in stormwater runoff. The simulation results are compared to mass flow rates and concentrations of Cd, Pb and Zn measured at the catchment outlet. The contribution of local traffic to stormwater contamination is estimated to be significant for Pb and, to a lesser extent, for Zn and Cd; however, Pb is most likely overestimated due to outdated emissions factors. The results demonstrate the importance of treating distributed traffic emissions from major roadways explicitly since the impact of these sources on concentrations in the catchment outlet is underestimated when those traffic emissions are spatially averaged over the catchment area.

  8. Data, modelling and inference in road traffic networks.

    Science.gov (United States)

    Gibbens, Richard J; Saatci, Yunus

    2008-06-13

    In this paper, we study UK road traffic data and explore a range of modelling and inference questions that arise from them. For example, loop detectors on the M25 motorway record speed and flow measurements at regularly spaced locations as well as the entry and exit lanes of junctions. An exploratory study of these data helps us to better understand and quantify the nature of congestion on the road network. From a traveller's perspective it is crucially important to understand the overall journey times and we look at methods to improve our ability to predict journey times given access jointly to both real-time and historical loop detector data. Throughout this paper we will comment on related work derived from US freeway data.

  9. 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.

  10. 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.

  11. Simulation model based on Monte Carlo method for traffic assignment in local area road network

    Institute of Scientific and Technical Information of China (English)

    Yuchuan DU; Yuanjing GENG; Lijun SUN

    2009-01-01

    For a local area road network, the available traffic data of traveling are the flow volumes in the key intersections, not the complete OD matrix. Considering the circumstance characteristic and the data availability of a local area road network, a new model for traffic assignment based on Monte Carlo simulation of intersection turning movement is provided in this paper. For good stability in temporal sequence, turning ratio is adopted as the important parameter of this model. The formulation for local area road network assignment problems is proposed on the assumption of random turning behavior. The traffic assignment model based on the Monte Carlo method has been used in traffic analysis for an actual urban road network. The results comparing surveying traffic flow data and determining flow data by the previous model verify the applicability and validity of the proposed methodology.

  12. Road-traffic pollution and asthma – using modelled exposure assessment for routine public health surveillance

    Directory of Open Access Journals (Sweden)

    Daly Mark

    2004-10-01

    Full Text Available Abstract Asthma is a common disease and appears to be increasing in prevalence. There is evidence linking air pollution, including that from road-traffic, with asthma. Road traffic is also on the increase. Routine surveillance of the impact of road-traffic pollution on asthma, and other diseases, would be useful in informing local and national government policy in terms of managing the environmental health risk. Several methods for exposure assessment have been used in studies examining the association between asthma and road traffic pollution. These include comparing asthma prevalence in areas designated as high and low pollution areas, using distance from main roads as a proxy for exposure to road traffic pollution, using traffic counts to estimate exposure, using vehicular miles travelled and using modelling techniques. Although there are limitations to all these methods, the modelling approach has the advantage of incorporating several variables and may be used for prospective health impact assessment. The modelling approach is already in routine use in the United Kingdom in support of the government's strategy for air quality management. Combining information from such models with routinely collected health data would form the basis of a routine public health surveillance system. Such a system would facilitate prospective health impact assessment, enabling policy decisions concerned with road-traffic to be made with knowledge of the potential implications. It would also allow systematic monitoring of the health impacts when the policy decisions and plans have been implemented.

  13. 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 r

  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 study of a main-road cellular automata traffic flow model

    Institute of Scientific and Technical Information of China (English)

    黄乒花; 孔令江; 刘慕仁

    2002-01-01

    A main-road cellular automata traffic flow model on two dimensions is presented based on the Biham-Middleton-Levine traffic model. Its evolution equations are given and the self-organization and organization cooperation phenomenain this model are also studied by using computer simulation.

  17. Optimization model and algorithm for mixed traffic of urban road network with flow interference

    Institute of Scientific and Technical Information of China (English)

    SI BingFeng; LONG JianCeng; GAO ZiYou

    2008-01-01

    In this paper, the problem of interferences between motors and non-motors in ur-ban road mixed traffic network is considered and the corresponding link imped-ance function is presented based on travel demand, On the base of this, the main factors that influence travelers' traffic choices are all considered and a combined model including flow-split and assignment problem is proposed, Then a bi-level model with its algorithm for system optimization of urban road mixed traffic net-work is proposed. Finally the application of the model and its algorithm is illus-trated with a numerical example.

  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.

    2013-01-01

    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 f

  19. Performance Evaluation of Road Traffic Control Using a Fuzzy Cellular Model

    CERN Document Server

    Płaczek, Bartłomiej

    2011-01-01

    In this paper a method is proposed for performance evaluation of road traffic control systems. The method is designed to be implemented in an on-line simulation environment, which enables optimisation of adaptive traffic control strategies. Performance measures are computed using a fuzzy cellular traffic model, formulated as a hybrid system combining cellular automata and fuzzy calculus. Experimental results show that the introduced method allows the performance to be evaluated using imprecise traffic measurements. Moreover, the fuzzy definitions of performance measures are convenient for uncertainty determination in traffic control decisions.

  20. Time-varying tolls in a dynamic model of road traffic congestion with elastic demand

    OpenAIRE

    Verhoef, E.T.

    1997-01-01

    In this paper, a dynamic model of road traffic congestion is presented, with an elastic overall demand for morning peak road usage, and with the congestion technology used being 'flow congestion'. It is demonstrated that in such a case, the optimal time-varying toll should include a 'flat', time-invariant component when road users share the same desired arrival time. This has important consequences for the design of optimal toll schemes in reality, because it implies that optimal tolls cannot...

  1. Road Traffic Injuries

    Institute of Scientific and Technical Information of China (English)

    WANG Zheng-guo

    2005-01-01

    @@ As everybody knows that automobiles have been greatly changing our life. However, everything has two sides, motor vehicles have also caused a huge number of people's deaths, injuries and property damage. Traffic crashes are perhaps the number one public health problem in developed countries [1]. In the United States, pre-retirement years of life lost in traffic crashes are more than that of the two combined leading diseases: cancer and heart disease [1]. Today road traffic crash (RTC) ranks 11th in leading cause of death and accounts for 2.1% of all deaths globally.

  2. The Road Traffic Analysis Based on an Urban Traffic Model of the Circular Working Field

    Institute of Scientific and Technical Information of China (English)

    Ming-zhe Li

    2004-01-01

    Under a relatively realistic model,this paper theoretically analyzes the road traffc status inside an urban working eld,including its radial roads and circular ones.Concretely,the radial and the circular average traveling distances of a car commuter in a tiny ring with wide dx are rst derived,and then the necessary road area,road area rate distributions,the proportion between the radial and the circular roads to be needed are also calculated.The results presented here and the properties shown through the numerical analysis are considered to be signi cant at the very beginning stage of designing an urban city.

  3. MODELING OF THE VULNERABILITY RELATED TO THE DYNAMIC ROAD TRAFFIC

    OpenAIRE

    2008-01-01

    International audience; The utilization of the road network by vehicles with different behaviors can generate a danger under normal and especially under evacuation situations. In Le Havre agglomeration (CODAH), there are 33 establishments classified SEVESO with high threshold. The modeling and assessment of the danger is useful when it intersects with the exposed stakes. The most important factor is people. In the literature, vulnerability maps are constructed to help decision makers assess t...

  4. Air quality assessment based on road traffic pollutants dispersion modelling: Giurgiu – Ruse Bridge Case study

    Directory of Open Access Journals (Sweden)

    Dragos MIHAI

    2012-12-01

    Full Text Available The paper presents a case study related to air quality assessment along an important high traffic bridge (Giurgiu - Ruse, by dispersion modelling of the main pollutants. In order to estimate the level of pollution caused by bridge road traffic in the closest urban areas, Giurgiu and Ruse and based on the traffic data, four scenarios for the air quality assessment have been carried out according to different meteorological conditions. The dispersion modeling was realized on specialized environmental pollution software, which features a fully operational Gauss model in its base module. There are presented dispersion maps for the main road traffic pollutants (NOx, CO, SO2, THC, aiming to evaluate their impact on the urban areas vicinity, in four different wind directions scenarios, at a constant temperature. Conclusions are presented according to available European Legislation and future scenarios are proposed, for other different meteorological conditions.

  5. 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.

  6. Road Traffic Noise

    Science.gov (United States)

    Beckenbauer, Thomas

    Road traffic is the most interfering noise source in developed countries. According to a publication of the European Union (EU) at the end of the twentieth century [1], about 40% of the population in 15 EU member states is exposed to road traffic noise at mean levels exceeding 55 dB(A). Nearly 80 million people, 20% of the population, are exposed to levels exceeding 65 dB(A) during daytime and more than 30% of the population is exposed to levels exceeding 55 dB(A) during night time. Such high noise levels cause health risks and social disorders (aggressiveness, protest, and helplessness), interference of communication and disturbance of sleep; the long- and short-term consequences cause adverse cardiovascular effects, detrimental hormonal responses (stress hormones), and possible disturbance of the human metabolism (nutrition) and the immune system. Even performance at work and school could be impaired.

  7. 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.

  8. Modeling Traffic Flow and Management at Un-signalized, Signalized and Roundabout Road Intersections

    Directory of Open Access Journals (Sweden)

    R. Kakooza

    2005-01-01

    Full Text Available Traffic congestion continues to hinder economic and social development and also has a negative impact on the environment. A simple mathematical model is used to analyze the different types of road intersections in terms of their Performance in relation to managing traffic congestion and to establish the condition for stability of the road intersections after sufficiently longer periods of time (steady-state. In the analysis, single and double lane un-signalized, signalized and roundabout intersections are evaluated on the basis of their performance (expected number of vehicles and waiting time. Experimental scenarios are carefully designed to analyze the performance of the different types of intersections. It is noted that under light traffic, roundabout intersections perform better than un-signalized and signalized in terms of easing congestion. However under heavy traffic, signalized intersection perform better in terms of easing traffic congestion compared to un-signalized and roundabout intersections. It is further noted that for stability of a road intersection, the proportion of the time a road link stopping at an intersection is delayed should not exceed the utilization factor (the ratio of the arrival rate of vehicles to the product of number of service channels and service rate.

  9. 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.......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....

  10. Road traffic injuries

    Institute of Scientific and Technical Information of China (English)

    WANG Zheng-guo 王正国

    2003-01-01

    @@ The appearance of cars has raised materialistic civilization and living standard to an unprecedented level. Today, it is hard to imagine how we human beings can live without cars.Yet, motor vehicles can cause a great number of deaths and injuries as well as considerable economic losses, which have constituted the global burden. Understanding of the occurrence and development of road traffic injuries will contribute to the prevention and control of crash and to the implementation of "everybody has the right to enjoy health" proposed by WHO.

  11. 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.

  12. Road traffic injuries in Mozambique.

    Science.gov (United States)

    Romão, Francelina; Nizamo, Hanifa; Mapasse, Domingos; Rafico, Momede Mussá; José, João; Mataruca, Simão; Efron, M Lúcia; Omondi, Lucas O; Leifert, Thelma; Bicho, Joaquim M L Marungo

    2003-01-01

    Road traffic injuries affect the economy, health and quality of life of the people of Mozambique. Current road safety programmes are inadequate and inefficient given the magnitude of the problem. Data reported on road traffic crashes in the period 1990 to 2000 from the National Institute for Road Safety, the traffic police and the Central Hospital of Maputo were reviewed. The burden of road traffic injuries in Mozambique is rising, with at least three people killed daily. The age group most affected is 25-38 (39.35%), followed by 16-24 (20.79%). The main causes of crashes include reckless driving, drunken driving, roads with potholes, inadequate signs, lack of protection for pedestrians, and inadequate traffic law enforcement. However, the data are not adequate to reveal the true magnitude of the problem. Data collected by different sources are incomplete and not coordinated with other sources and databases. In urban areas, however, better response to crashes, treatment of the injured, reporting and data collection is attributable to a greater concentration of police and medical facilities. Road traffic safety programmes in Mozambique are inadequate and inefficient, starting with the data collection system. Improvement of injury surveillance systems is needed to help make road traffic safety a national development agenda priority and for developing and implementing road safety policies. For road safety programmes to be effective, government must facilitate stakeholders' involvement, and the clear definition of government activities, civil society activities and public-private partnerships need to be established.

  13. 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.

  14. MODEL CAR TRAFFIC ON SECTIONS OF ROADS WITH LIMITED VISIBILITY

    Directory of Open Access Journals (Sweden)

    A. V. Skrypnikov

    2014-01-01

    Full Text Available Summary. Existing theoretical calculations speeds in areas of horizontal and vertical curves designed for the needs of construction and calculation of cars and can not be used for valuation. When calculating the value of the coefficient of friction velocity determined at full wheel lock that does not correspond to the actual conditions of braking stability conditions of the car within its lane. The article proposes to calculate the permissible vehicle speed for the sites of horizontal and vertical curves on forest roads from the requirement car stop within the zone of visibility without buckling considering assumptions: during braking movement remains manageable, the driver keeps the car in the outside lane; magnitude of the angular velocity of the steering wheel is small; fully utilized inhibitory properties least loaded wheel; cornering power coefficient of resistance of tires depends little on the change of loads on the bus; low rolling resistance. Studied are normal reactions to the vehicle wheels when braking, namely found that if the friction coefficient on the road for less than the calculated optimal braking, the restriction on the braking occurs danger of losing control of the car skidding due to the front wheels. If the coefficient of friction on the road more than the calculated optimal braking, the braking force limitation occurs for blocking the rear axle. When comparing full stopping distance with the existing area of visibility is determined permissible speed.

  15. Time, speeds, flows and densities in static models of road traffic congestion and congestion pricing

    OpenAIRE

    Verhoef, E.T.

    1998-01-01

    This paper studies some of the properties and fundamentals of static models of road traffic congestion that have triggered much debate in the literature. The first part of the paper focuses in particular on the difficulties arising with the backward-bending cost curve in the context of 'continuous congestion'. Therelevance of the backward-bending segment of the cost curve for the static analysis of congestion is questioned by demonstrating that 'equilibria' on this segment produce upwards shi...

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

    Science.gov (United States)

    Zhong-xiang, Feng; Shi-sheng, Lu; Wei-hua, Zhang; Nan-nan, Zhang

    2014-01-01

    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. PMID:25610454

  17. 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.

  18. 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

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

    NARCIS (Netherlands)

    Berkum, van Eric; Huerne, ter Henny; 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

  20. Modeling of road traffic noise and estimated human exposure in Fulton County, Georgia, USA.

    Science.gov (United States)

    Seong, Jeong C; Park, Tae H; Ko, Joon H; Chang, Seo I; Kim, Minho; Holt, James B; Mehdi, Mohammed R

    2011-11-01

    Environmental noise is a major source of public complaints. Noise in the community causes physical and socio-economic effects and has been shown to be related to adverse health impacts. Noise, however, has not been actively researched in the United States compared with the European Union countries in recent years. In this research, we aimed at modeling road traffic noise and analyzing human exposure in Fulton County, Georgia, United States. We modeled road traffic noise levels using the United States Department of Transportation Federal Highway Administration Traffic Noise Model implemented in SoundPLAN®. After analyzing noise levels with raster, vector and façade maps, we estimated human exposure to high noise levels. Accurate digital elevation models and building heights were derived from Light Detection And Ranging survey datasets and building footprint boundaries. Traffic datasets were collected from the Georgia Department of Transportation and the Atlanta Regional Commission. Noise level simulation was performed with 62 computers in a distributed computing environment. Finally, the noise-exposed population was calculated using geographic information system techniques. Results show that 48% of the total county population [N=870,166 residents] is potentially exposed to 55 dB(A) or higher noise levels during daytime. About 9% of the population is potentially exposed to 67 dB(A) or higher noises. At nighttime, 32% of the population is expected to be exposed to noise levels higher than 50 dB(A). This research shows that large-scale traffic noise estimation is possible with the help of various organizations. We believe that this research is a significant stepping stone for analyzing community health associated with noise exposures in the United States.

  1. Encapsulating Urban Traffic Rhythms into Road Networks

    Science.gov (United States)

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

    2014-02-01

    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.

  2. Second-order phase transition in two-dimensional cellular automaton model of traffic flow containing road sections

    Science.gov (United States)

    Shi, Xiao-Qiu; Wu, Yi-Qi; Li, Hong; Zhong, Rui

    2007-11-01

    Two-dimensional cellular automaton model has been broadly researched for traffic flow, as it reveals the main characteristics of the traffic networks in cities. Based on the BML models, a first-order phase transition occurs between the low-density moving phase in which all cars move at maximal speed and the high-density jammed phase in which all cars are stopped. However, it is not a physical result of a realistic system. We propose a new traffic rule in a two-dimensional traffic flow model containing road sections, which reflects that a car cannot enter into a road crossing if the road section in front of the crossing is occupied by another car. The simulation results reveal a second-order phase transition that separates the free flow phase from the jammed phase. In this way the system will not be entirely jammed (“don’t block the box” as in New York City).

  3. 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 th

  4. 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.

  5. Modeling and Simulation of Road Traffic Noise Using Artificial Neural Network and Regression.

    Science.gov (United States)

    Honarmand, M; Mousavi, S M

    2014-04-01

    Modeling and simulation of noise pollution has been done in a large city, where the population is over 2 millions. Two models of artificial neural network and regression were developed to predict in-city road traffic noise pollution with using the data of noise measurements and vehicle counts at three points of the city for a period of 12 hours. The MATLAB and DATAFIT softwares were used for simulation. The predicted results of noise level were compared with the measured noise levels in three stations. The values of normalized bias, sum of squared errors, mean of squared errors, root mean of squared errors, and squared correlation coefficient calculated for each model show the results of two models are suitable, and the predictions of artificial neural network are closer to the experimental data.

  6. 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.

  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

    2016-11-08

    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.

  8. 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

  9. Noise, sleep and poor health: Modeling the relationship between road traffic noise and cardiovascular problems.

    Science.gov (United States)

    Fyhri, Aslak; Aasvang, Gunn Marit

    2010-10-01

    Several adverse effects have been associated with exposure to traffic noise. Studies supporting a noise-stress-health model have suggested links between noise level and increased noradrenalin concentrations in urine, hypertension and myocardial infarction. Among the more commonly documented effects, sleep disturbances have been regarded as being the most serious. Both noise annoyance and sleep disturbance have been proposed as important mediators of the impact of noise on health. The present paper investigates the relationships among long-term noise exposure, annoyance, sleeping problems and subjective health complaints by the use of a structural equation model. Further, it aims at giving insight into how noise sensitivity is related to sleep disturbances from road traffic noise. Finally, it examines whether any effect of noise exposure or response to noise can be detected on prevalence of cardiovascular problems, when information on sleep disturbances is included in a model. Data from a questionnaire survey conducted among a population sample in Oslo (N=2786) are combined with nighttime noise levels calculated from outside each respondents dwelling, at the bedroom façade. The results of the analysis showed significant relationships between noise annoyance at night and sleeping problems. The model also showed strong links among pseudoneurological complaints, annoyance and sleeping problems, thus pointing to the importance of including information on psychosomatic disorders and mild psychological problems in future studies looking at potential health effects of noise. The analysis showed no relationship between neither noise exposure nor response to noise and cardiovascular problems.

  10. The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents

    Directory of Open Access Journals (Sweden)

    Yau-Ren Shiau

    2015-01-01

    Full Text Available With the ever-increasing number of vehicles on the road, traffic accidents have also increased, resulting in the loss of lives and properties, as well as immeasurable social costs. The environment, time, and region influence the occurrence of traffic accidents. The life and property loss is expected to be reduced by improving traffic engineering, education, and administration of law and advocacy. This study observed 2,471 traffic accidents which occurred in central Taiwan from January to December 2011 and used the Recursive Feature Elimination (RFE of Feature Selection to screen the important factors affecting traffic accidents. It then established models to analyze traffic accidents with various methods, such as Fuzzy Robust Principal Component Analysis (FRPCA, Backpropagation Neural Network (BPNN, and Logistic Regression (LR. The proposed model aims to probe into the environments of traffic accidents, as well as the relationships between the variables of road designs, rule-violation items, and accident types. The results showed that the accuracy rate of classifiers FRPCA-BPNN (85.89% and FRPCA-LR (85.14% combined with FRPCA is higher than that of BPNN (84.37% and LR (85.06% by 1.52% and 0.08%, respectively. Moreover, the performance of FRPCA-BPNN and FRPCA-LR combined with FRPCA in classification prediction is better than that of BPNN and LR.

  11. Multi Agent system Randomized in Road Traffic

    Directory of Open Access Journals (Sweden)

    Gouiouez Mounir,

    2013-02-01

    Full Text Available In recent years, the rapid growth of road traffic density in theworld generates a rising request for tools that can be used toanalyze and control the traffic networks. Microscopic trafficsimulation[1,2,3] has proven to be one of the most useful toolsfor analysis of various traffic systems. Thus microscopic trafficsimulation has become an ever increasing field of research anddevelopment. In this paper we present a new model formicroscopic traffic simulation; Traditional traffic simulationmodels neglect some real-life factors that need to be considered,such as the effect of random distribution in the entry of lanehence ,this paper presents the development of a concept and anassociated architecture called the MAS2RT (Multi Agentsystem Randomized in Road Traffic, which is based on thecombination of Multi-Agent Systems (MAS [4,5], Poissondistribution in urban Traffic and a stochastic model [6,7] tocapture the randomness of individual agent. The secondcontribution of this paper is about the internal structure ofmobile agents[8], initially reacts according to the instructions ofthe Main agent (MA and in the case of a lack of dynamicinformation, the mobile agents take decisions based on theirexperiences accumulated during previous interactions.The obtained results illustrate that using the randomness in thereaction of agent enhanced greatly the performance ofsimulation.

  12. Methanol - alternative fuel road traffic

    Energy Technology Data Exchange (ETDEWEB)

    Muendler, H.

    1980-09-01

    This brochure names the fuel properties that are required for road traffic, discusses the replacement of petrol by methanol, discusses the possibilities of manufacturing methanol, draws up a timetable and an organigram for a (M-15) large scale test and compares costs of petrol, methanol, synthesis process petrol and hydrogenation process petrol. Furthermore, the technical requirements of vehicles as well as test results of exhaust gas emissions are also discussed.

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

    Science.gov (United States)

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

    2016-07-01

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

  14. 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.

  15. Cellular automata model for urban road traffic flow considering pedestrian crossing street

    Science.gov (United States)

    Zhao, Han-Tao; Yang, Shuo; Chen, Xiao-Xu

    2016-11-01

    In order to analyze the effect of pedestrians' crossing street on vehicle flows, we investigated traffic characteristics of vehicles and pedestrians. Based on that, rules of lane changing, acceleration, deceleration, randomization and update are modified. Then we established two urban two-lane cellular automata models of traffic flow, one of which is about sections with non-signalized crosswalk and the other is on uncontrolled sections with pedestrians crossing street at random. MATLAB is used for numerical simulation of the different traffic conditions; meanwhile space-time diagram and relational graphs of traffic flow parameters are generated and then comparatively analyzed. Simulation results indicate that when vehicle density is lower than around 25 vehs/(km lane), pedestrians have modest impact on traffic flow, whereas when vehicle density is higher than about 60 vehs/(km lane), traffic speed and volume will decrease significantly especially on sections with non-signal-controlled crosswalk. The results illustrate that the proposed models reconstruct the traffic flow's characteristic with the situation where there are pedestrians crossing and can provide some practical reference for urban traffic management.

  16. Road traffic emission monitoring on motorways

    NARCIS (Netherlands)

    Dittrich, M.G.; Beek, P.J.G. van

    2006-01-01

    Road traffic noise is one of the major environmental noise sources that is known to cause health problems. Despite existing noise reception items, the continuing growth of traffic causes higher levels than the lims allow. Consequently, excessive costs are incurred for noise barriers along roads and

  17. Road traffic noise and incident myocardial infarction

    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....

  18. Calculating Traffic based on Road Sensor Data

    NARCIS (Netherlands)

    Bisseling, Rob; Gao, Fengnan; Hafkenscheid, Patrick; Idema, Reijer; Jetka, Tomasz; Guerra Ones, Valia; 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 la

  19. Multiplicative models of analysis : a description and the use in analysing accident ratios as a function of hourly traffic volume and road-surface skidding resistance.

    NARCIS (Netherlands)

    Oppe, S.

    1977-01-01

    Accident ratios are analysed with regard to the variables road surface skidding resistance and hourly traffic volume. It is concluded that the multiplicative model describes the data better than the additive model. Moreover that there is no interaction between skidding resistance and traffic volume

  20. 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.

  1. 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

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

    Directory of Open Access Journals (Sweden)

    A. Khalifa

    2015-06-01

    Full Text Available 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.

  3. 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...

  4. 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...

  5. An original traffic additional emission model and numerical simulation on a signalized road

    Science.gov (United States)

    Zhu, Wen-Xing; Zhang, Jing-Yu

    2017-02-01

    Based on VSP (Vehicle Specific Power) model traffic real emissions were theoretically classified into two parts: basic emission and additional emission. An original additional emission model was presented to calculate the vehicle's emission due to the signal control effects. Car-following model was developed and used to describe the traffic behavior including cruising, accelerating, decelerating and idling at a signalized intersection. Simulations were conducted under two situations: single intersection and two adjacent intersections with their respective control policy. Results are in good agreement with the theoretical analysis. It is also proved that additional emission model may be used to design the signal control policy in our modern traffic system to solve the serious environmental problems.

  6. Investigation of the Effect of Traffic Parameters on Road Hazard Using Classification Tree Model

    Directory of Open Access Journals (Sweden)

    Md. Mahmud Hasan

    2012-09-01

    Full Text Available This paper presents a method for the identification of hazardous situations on the freeways. For this study, about 18 km long section of Eastern Freeway in Melbourne, Australia was selected as a test bed. Three categories of data i.e. traffic, weather and accident record data were used for the analysis and modelling. In developing the crash risk probability model, classification tree based model was developed in this study. In formulating the models, it was found that weather conditions did not have significant impact on accident occurrence so the classification tree was built using two traffic indices; traffic flow and vehicle speed only. The formulated classification tree is able to identify the possible hazard and non-hazard situations on freeway. The outcome of the study will aid the hazard mitigation strategies.

  7. 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.

  8. 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.

  9. Predictability of road traffic and congestion in urban areas.

    Science.gov (United States)

    Wang, Jingyuan; Mao, Yu; Li, Jing; Xiong, Zhang; Wang, Wen-Xu

    2015-01-01

    Mitigating traffic congestion on urban roads, with paramount importance in urban development and reduction of energy consumption and air pollution, depends on our ability to foresee road usage and traffic conditions pertaining to the collective behavior of drivers, raising a significant question: to what degree is road traffic predictable in urban areas? Here we rely on the precise records of daily vehicle mobility based on GPS positioning device installed in taxis to uncover the potential daily predictability of urban traffic patterns. Using the mapping from the degree of congestion on roads into a time series of symbols and measuring its entropy, we find a relatively high daily predictability of traffic conditions despite the absence of any priori knowledge of drivers' origins and destinations and quite different travel patterns between weekdays and weekends. Moreover, we find a counterintuitive dependence of the predictability on travel speed: the road segment associated with intermediate average travel speed is most difficult to be predicted. We also explore the possibility of recovering the traffic condition of an inaccessible segment from its adjacent segments with respect to limited observability. The highly predictable traffic patterns in spite of the heterogeneity of drivers' behaviors and the variability of their origins and destinations enables development of accurate predictive models for eventually devising practical strategies to mitigate urban road congestion.

  10. Injury profiles of road traffic deaths.

    Science.gov (United States)

    Santamariña-Rubio, Elena; Pérez, Katherine; Ricart, Isabel; Arroyo, Amparo; Castellà, Josep; Borrell, Carme

    2007-01-01

    The objective is to describe injuries of road traffic deaths in Barcelona and identify injury profiles by road user type, through a cross-sectional study including road traffic deaths for the period 1997-2004. The data source was the Institut de Medicina Legal de Catalunya. Diagnoses were coded using the International Classification of Diseases, 9th revision, Clinical Modification, and classified using the Barell Matrix. Of the 719 deaths studied, 45% were pedestrians, 32% two wheel motor vehicle users, and 23% car occupants. The injury profile of the road traffic deaths in Barcelona is internal injuries and fractures to the torso and to the head/neck. This profile is repeated in all the road user groups, although pedestrians present higher frequencies of fractures and contusions to extremities and contusions to the head/neck, and fewer internal torso injuries than car occupants or two wheel motor vehicle users.

  11. Injuries to pedestrians in road traffic accidents.

    OpenAIRE

    Atkins, R. M.; Turner, W H; Duthie, R. B.; Wilde, B. R.

    1988-01-01

    Although there have been many reports on injuries to occupants of cars in road traffic accidents, there have been few prospective studies of injuries to pedestrians in such accidents. For this reason a two year prospective study of pedestrians in road traffic accidents in the Oxford region was carried out. The incidence of death in pedestrians was significantly higher than in car occupants or motorcyclists. The principal determinant of death was the weight of the vehicle concerned. The most c...

  12. 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

    -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......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...

  13. Transportation, road and traffic; Yuso / doro / kotsu

    Energy Technology Data Exchange (ETDEWEB)

    Tsuneda, K.; Oshita, T.; Kimura, K.; Ishikura, T. [Ministry of Construction Ibaragi (Japan)

    1997-08-01

    Road transportation of cargos and passengers is increasing recently. Securing funds for road construction projects is under severe condition due to retrenchment in finance. The number of four-wheel vehicles possessed by users totaled to 65.18 million at the end of March, 1996, showing 3.0% increase compared with that of the previous year. The number of motorcycles increased by 40 thousand in the area of two-wheel vehicles. The number of light two-wheeled vehicles showed no marked fluctuations. No statistic was made public concerning motor-bicycles. Outlines of the budget for road construction and road maintenance situation are given. The traffic density was much heavier than the increasing rate of the road extension at the end of March, 1996. The advanced road traffic system is a new road traffic system which utilizes most advanced information communication technology to decrease traffic snarls and traffic accidents and to improve the riding comfort of users, and 9 development fields and 20 user service systems are being developed currently. 7 refs., 11 figs., 8 tabs.

  14. 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

  15. Improvement of driving safety in road traffic system

    Institute of Scientific and Technical Information of China (English)

    Li Ke-Ping; Gao Zi-You

    2005-01-01

    A road traffic system is a complex system in which humans participate directly. In this system, human factors play a very important role. In this paper, a kind of control signal is designated at a given site (i.e., signal point) of the road. Under the effect of the control signal, the drivers will decrease their velocities when their vehicles pass the signal point. Our aim is to transit the traffic flow states from disorder to order, and then improve the traffic safety.We have tested this technique for the two-lane traffic model that is based on the deterministic Nagel-Schreckenberg (NaSch) traffic model. The simulation results indicate that the traffic flow states can be transited from disorder to order. Different order states can be observed in the system, and these states are safer.

  16. Prediction of CO concentrations from road traffic at signalized intersections using CAL3QHC model: the Khon Kaen case study

    Directory of Open Access Journals (Sweden)

    Prungchan Wongwises

    2005-11-01

    Full Text Available Based on the US EPA air pollution model, CAL3QHC version 2.0 was applied to predict carbon monoxide (CO concentrations from road traffic at three signalized intersections in Khon Kaen province. Four data groups required by the model, namely site parameters, traffic parameters, meteorological parameters and emission parameters were collected at each intersection and have been used as the inputs to the model. The prediction results were compared to the measurement. The results showed that the predicted CO concentration variations corresponding mostly to the measurement except at some hours when there was not good agreement due to an extreme upwind location of receptor, low wind speed, raining period, other out-sources of CO concentration such as another near intersection and parking lot. However, this study shows that the CAL3QHC model can be applied to predict CO concentration in the environmental condition of Thailand quite well. Moreover, the model might be used as a tool for assessing traffic air pollution at roadway intersection as well as for air quality management.

  17. 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...... of a generalized Maxwell model. Validations by comparison to ViscoRoute simulations are also made. This justifies the use of the Laplace FEM for generating simulated data using a Huet-Sayegh model for the visco-elastic behaviour of asphalt. These simulated data, along with measured data, are then used to suggest...

  18. Active traffic management on road networks: a macroscopic approach.

    Science.gov (United States)

    Kurzhanskiy, Alex A; Varaiya, Pravin

    2010-10-13

    Active traffic management (ATM) is the ability to dynamically manage recurrent and non-recurrent congestion based on prevailing traffic conditions in order to maximize the effectiveness and efficiency of road networks. It is a continuous process of (i) obtaining and analysing traffic measurement data, (ii) operations planning, i.e. simulating various scenarios and control strategies, (iii) implementing the most promising control strategies in the field, and (iv) maintaining a real-time decision support system that filters current traffic measurements to predict the traffic state in the near future, and to suggest the best available control strategy for the predicted situation. ATM relies on a fast and trusted traffic simulator for the rapid quantitative assessment of a large number of control strategies for the road network under various scenarios, in a matter of minutes. The open-source macrosimulation tool Aurora ROAD NETWORK MODELER is a good candidate for this purpose. The paper describes the underlying dynamical traffic model and what it takes to prepare the model for simulation; covers the traffic performance measures and evaluation of scenarios as part of operations planning; introduces the framework within which the control strategies are modelled and evaluated; and presents the algorithm for real-time traffic state estimation and short-term prediction.

  19. Analysis of Road Traffic Network Cascade Failures with Coupled Map Lattice Method

    Directory of Open Access Journals (Sweden)

    Yanan Zhang

    2015-01-01

    Full Text Available In recent years, there is growing literature concerning the cascading failure of network characteristics. The object of this paper is to investigate the cascade failures on road traffic network, considering the aeolotropism of road traffic network topology and road congestion dissipation in traffic flow. An improved coupled map lattice (CML model is proposed. Furthermore, in order to match the congestion dissipation, a recovery mechanism is put forward in this paper. With a real urban road traffic network in Beijing, the cascading failures are tested using different attack strategies, coupling strengths, external perturbations, and attacked road segment numbers. The impacts of different aspects on road traffic network are evaluated based on the simulation results. The findings confirmed the important roles that these characteristics played in the cascading failure propagation and dissipation on road traffic network. We hope these findings are helpful to find out the optimal road network topology and avoid cascading failure on road network.

  20. Reconfigurable SRTM System for Road Traffic in Kingdom of Bahrain

    Directory of Open Access Journals (Sweden)

    El-Medany Wael

    2016-12-01

    Full Text Available This paper presents reconfigurable hardware architecture for smart road traffic system based on Field Programmable Gate Array (FPGA. The design can be reconfigured for different timing of the traffic signals according to the received and collected data read by the different sensors on the road; the design has been described using VHDL (VHSIC Hardware Description Language. The SRTM (Smart Road Traffic Management System has some more features that help passenger to avoid traffic jamming by sending the collected information through web/mobile applications to find the best road between the start and destination points, which will be displayed on Google maps, at the same time it will also shows the points of traffic jamming on Google maps. SRTM system can also manage emergency vehicles such as ambulance and fire fighter and also can send snapshots and video streaming for different roads and junctions to show the points of traffic jamming. The design has been simulated and tested using ModelSim PE student edition 10.4. Spartan 3 FPGA starter kit from Xilinx has been used for implementing and testing the design in a hardware level.

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

    OpenAIRE

    V. S. Naumov

    2009-01-01

    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.

  2. Comparison of road traffic emission factors and testing by comparison of modelled and measured ambient air quality data.

    Science.gov (United States)

    Peace, H; Owen, B; Raper, D W

    2004-12-01

    This paper describes a comparison of three different sets of road traffic emission factors released by the UK government for use in air quality review and assessment. The air quality management process of review and assessment began in 1997 in the UK. During this period of ongoing review and assessment, a number of changes have been made to the emission factors provided by the government. The use of different sets of emission factors during the assessment process has lead to some inconsistencies between results from neighbouring local authorities and also between different modelling exercises undertaken by the same local authorities. One purpose of this study has been to compare three different sets of emission factors, including the most recent set, and to some degree highlight the uncertainty associated with the use of factors, such as the shift of emphasis in terms of emissions from cars to heavy goods vehicles. The most recently released emission factors are the most comprehensive to date, and theoretically more accurate than previous sets due to the larger database of emission measurements that they have been based on. Therefore, the most recent set of emission factors have been additionally used in a validation exercise between modelled and monitored data. Comparison has been undertaken with monitoring data at a variety of urban background, urban centre and roadside sites. This work has shown some differences between the predicted trends in emission factors and measured trends in ambient air pollution levels, especially at roadside sites, indicating an under-prediction of the air pollution contribution from road traffic.

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

    African Journals Online (AJOL)

    Risk factors for road traffic accidents in Gulu municipality, Uganda. ... Traffic Accidents (RTA), establish the safety measures in place to protect road users to ... drivers of different categories of vehicles, motorcyclists and bicyclists locally known ...

  4. Bi-objective network equilibrium, traffic assignment and road pricing

    OpenAIRE

    Wang, JYT; Ehrgott, M

    2014-01-01

    Multi-objective equilibrium models of traffic assignment state that users of road networks travel on routes that are efficient with respect to several objectives, such as travel time and toll. This concept provides a general framework for modelling traffic flow in tolled road networks. We present the concept of time surplus maximisation as a way of handling user preferences. Given a toll, users have a maximum time they are willing to spend for a trip. Time surplus is this maximum time minus a...

  5. Distraction-related road traffic collisions

    African Journals Online (AJOL)

    drivers at the collision time over one and half years. Driver's inattentive ... drivers involved in road traffic collisions (RTC) were using mobile phones. Our study supports .... two groups in age, gender, nationality, seat belt usage, or death on the ...

  6. Hypertension and road traffic noise exposure

    NARCIS (Netherlands)

    de Kluizenaar, Yvonne; Gansevoort, Ronald T.; Miedema, Henk M. E.; de Jong, Paul E.

    2007-01-01

    Objective: The purpose of this study was to assess the relationship between road traffic noise exposure at home and the prevalence of hypertension. Methods: We conducted cross-sectional analyses in a large random sample (N = 40,856) of inhabitants of Groningen City, and in a subsample (the Preventio

  7. 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

  8. 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

  9. 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

  10. 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...

  11. Joint optimization traffic signal control for an urban arterial road

    Institute of Scientific and Technical Information of China (English)

    LI Yin-fei; CHEN Shu-ping

    2009-01-01

    This paper considers the optimal traffic signal setting for an urban arterial road. By introducing the concepts of synchronization rate and non-synchronization degree, a mathematical model is constructed and an optimization problem is posed. Then, a new iterative algorithm is developed to solve this optimal traffic control signal setting problem. Convergence properties for this iterative algorithm are established. Finally, a numerical example is solved to illustrate the effectiveness of the method.

  12. A study on urban road traffic safety based on matter element analysis.

    Science.gov (United States)

    Hu, Qizhou; Zhou, Zhuping; Sun, Xu

    2014-01-01

    This paper examines a new evaluation of urban road traffic safety based on a matter element analysis, avoiding the difficulties found in other traffic safety evaluations. The issue of urban road traffic safety has been investigated through the matter element analysis theory. The chief aim of the present work is to investigate the features of urban road traffic safety. Emphasis was placed on the construction of a criterion function by which traffic safety achieved a hierarchical system of objectives to be evaluated. The matter element analysis theory was used to create the comprehensive appraisal model of urban road traffic safety. The technique was used to employ a newly developed and versatile matter element analysis algorithm. The matter element matrix solves the uncertainty and incompatibility of the evaluated factors used to assess urban road traffic safety. The application results showed the superiority of the evaluation model and a didactic example was included to illustrate the computational procedure.

  13. 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.

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

    Science.gov (United States)

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

    2016-08-23

    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.

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

    Directory of Open Access Journals (Sweden)

    Ardi Imawan

    2016-08-01

    Full Text Available 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.

  16. FWFA Optimization based Decision Support System for Road Traffic Engineering

    Science.gov (United States)

    Utama, D. N.; Zaki, F. A.; Munjeri, I. J.; Putri, N. U.

    2017-01-01

    Several ways and efforts have been already conducted to formally solve the road traffic congestion. However, the objective strategy type of road traffic engineering could not be proven truly. Try and error is one inefficient way in road traffic engineering to degrade the level of congestion. The combination between fuzzy-logic and water flow algorithm methods (called FWFA) was used as a main method to construct the decision support system (DSS) for selecting the objective strategy in road traffic engineering. The proposed DSS can suggest the most optimal strategy decision in road traffic engineering. Here, a main traffic road of Juanda in area Ciputat, Tangerang Selatan, province Banten, Indonesia; was selected as a research object in this study. The constructed DSS for road traffic engineering was structurally delivered in this paper.

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

    OpenAIRE

    Xuedong Yan; Bin Wang; Meiwu An; Cuiping Zhang

    2012-01-01

    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 (...

  18. 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 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...

  19. An analysis of Malaysia road traffic death distribution by road environment

    Indian Academy of Sciences (India)

    YUSRIA DARMA; MOHAMED REHAN KARIM; SULAIMAN ABDULLAH

    2017-09-01

    Various initiatives, strategies and programmes have been taken by the Government of Malaysia to resolve issues pertaining to road traffic deaths. Nevertheless, the implementation of the programmes outlined in Malaysian Road Safety Plan 2006 needs to be enhanced in order to achieve the set targets. 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 reducing the number of injuries due to road traffic accidents up to a certain extent. This study is focussed on analysing road traffic deaths caused by various road environment elements recorded by the police from 2000 to 2011 in order to determine their distribution, proportion and relationship with fatal accidents. The Chi-square test and Marascuilo procedure with 5% level of significance are used in this study. Based on locality, the number of road traffic deaths in rural area (66%) is significantly higher compared with that in urban areas (34%). Based on road category, the number of road traffic deaths is the highest for federal roads, whereas the highest rate of fatalities per kilometre is recorded for expressways. Based on road segment, the number of road traffic deaths is the highest for straight road segments, followed by bends. In addition, the number of road traffic deaths is the highest for Y/T junctions,followed by cross junctions. The lowest number of road traffic deaths is recorded for interchanges and roundabouts. The results show that only 11.25% of the total road traffic deaths are related to road defects. The highest proportion of deaths due to road defects (48.6%) is associated with lack of street lighting provision,whereas road shoulder edge drop-off and potholes contribute 15.4% and 11.2% of road traffic deaths,respectively.

  20. The Analysis of the New Road Traffic Prediction Mathematical Model%新建道路的交通量预测数学模型分析

    Institute of Scientific and Technical Information of China (English)

    吕高腾; 郑全成

    2011-01-01

    随着经济的发展,我国道路发展水平的提高,交通车辆的增加,交通拥堵问题已成为目前亟待解决的问题。采用交通阻抗分析和诱增经济增长模型法,对道路交通量进行预测,为新建交通道路的建立是否对其交通布局产生优化评价提供依据。%With the development of Economy, the country road development level improved, and the increased of vehicle, the problem of traffic congestion become our present life problems to be solved. This paper used the traffic impedance analysis and induced increase economic growth model method to forecast the road traffic volume, it provides the basis establishment of the traffic layout whether produce optimization evaluation to the new roads.

  1. 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...

  2. 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.

  3. 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.

  4. On urban road traffic state evaluation index system and method

    Science.gov (United States)

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

    2017-01-01

    Traffic state evaluation is a basic and critical work in the research on road traffic congestion. It can provide basic data support for the improvement measures and information release in traffic management and service. The aim of this research is to obtain a comprehensive value to describe traffic state accurately based on the evaluation index system. In this paper, it is carried out using fuzzy c-means (FCM) algorithm and fuzzy entropy weight method. In the framework, traffic flow was classified into six different states to determine the fuzzy range of indices using the improved FCM clustering analysis. Besides, fuzzy entropy weight method is proposed to compute the evaluation result of traffic state for section, road and road network, respectively. The experiments based on the traffic information in a subset of Beijing’s road network prove that the findings of traffic evaluation are in accordance with the actual situation and people’s sense of traffic state.

  5. Traffic Prediction Based on Correlation of Road Sections

    Directory of Open Access Journals (Sweden)

    Xiaodan Huang

    2013-10-01

    Full Text Available Road section data packet is very necessary for the estimation and prediction in short-time traffic condition. However, previous researches on this problem are lack of quantitative analysis. A section correlation analyzing method with traffic flow microwave data is proposed for this problem. It is based on the metric multidimensional scaling theory. With a dissimilarity matrix, scalar product matrix can be calculated. Subsequently, a reconstructing matrix of section traffic flow could be got with principal components factor analysis, which could display section groups in low dimension. It is verified that the new method is reliable and effective. After that, Auto Regressive Moving Average (A RMA model is used for forecasting traffic flow and lane occupancy. Finally, a simulated example has shown that the technique is effective and exact. The theoretical analysis indicates that the forecasting model and algorithms have a broad prospect for practical application.  

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

    DEFF Research Database (Denmark)

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

    2016-01-01

    BACKGROUND: Traffic noise has been associated with cardiovascular and metabolic disorders. Potential modes of action are through stress and sleep disturbance, which may lead to endocrine dysregulation and overweight. OBJECTIVES: We aimed to investigate the relationship between residential traffic...... and railway noise and adiposity. METHODS: In this cross-sectional study of 57,053 middle-aged people, height, weight, waist circumference, and bioelectrical impedance were measured at enrollment (1993-1997). Body mass index (BMI), body fat mass index (BFMI), and lean body mass index (LBMI) were calculated....... Residential exposure to road and railway traffic noise exposure was calculated using the Nordic prediction method. Associations between traffic noise and anthropometric measures at enrollment were analyzed using general linear models and logistic regression adjusted for demographic and lifestyle factors...

  7. 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.  

  8. Air pollution due to road traffic in Ljubljana

    OpenAIRE

    Matej Ogrin

    2007-01-01

    Air pollution is due to road traffic an inevitable outcome of internal combustion in engines of vehicles 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 impacts of the road traffic. The article shows a method of passive samplers for air quality monitoring along different roads in the area of...

  9. DETERMINING ROAD LIGHTING IMPACT ON TRAFFIC STREAM CHARACTERISTICS

    Directory of Open Access Journals (Sweden)

    Ben-Edigbe Johnnie

    2013-01-01

    Full Text Available The study is aimed at estimating road lighting impact on traffic stream characteristics; flow, speed, density and headway for an uninterrupted traffic flow. Volume, speed and headway data were collected during daylight, road lighting and dry weather conditions. Flowrate, speed, density and headways were estimated for daylight and road lighting periods; then compared. Since flowrate, free-flow speed, optimum speed critical density and headways during daylight and road lighting periods did not differ significantly: the study concluded that road lighting does not affect traffic stream characteristics significantly.

  10. Road traffic pollution monitoring and modelling tools and the UK national air quality strategy.

    OpenAIRE

    Marsden, G.R.; Bell, M.C.

    2001-01-01

    This paper provides an assessment of the tools required to fulfil the air quality management role now expected of local authorities within the UK. The use of a range of pollution monitoring tools in assessing air quality is discussed and illustrated with evidence from a number of previous studies of urban background and roadside pollution monitoring in Leicester. A number of approaches to pollution modelling currently available for deployment are examined. Subsequently, the modelling and moni...

  11. Dynamic evaluation of traffic flows on city roads

    Institute of Scientific and Technical Information of China (English)

    Quan Yongshen; Guo Jifu; Wen Huimin; Sun Jianping

    2012-01-01

    This paper presents an analysis of the random fluctuations, deferred conduction effect and periodicity of road traffic based on the basic features of road networks. It also discusses the limitations of road network evaluation theories based on road "V/C". In addition, it proposes a set of theoretical and technical methods for the real-time evaluation of traffic flows for entire road networks, and for solving key technical issues, such as real-time data collection and process- ing in areas with no blind zones, the spatial-temporal dynamic analysis of road network traffic, and the calibration of key performance index thresholds. It also provides new technical tools for the strategic transportation planning and real-time diagnosis of road traffic. The new tools and methodology presented in this paper are validated using a case study in Beijing.

  12. 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

  13. Robust, Optimal, Predictive, and Integrated Road Traffic Control: Research proposal

    NARCIS (Netherlands)

    Van de Weg, G.S.; Hegyi, A.; Hoogendoorn, S.P.

    2014-01-01

    The development of control strategies for traffic lights, ramp metering installations, and variable speed limits to improve the throughput of road traffic networks can contribute to a more efficient use of road networks. In this project, a hierarchical controller will be developed for the improvemen

  14. 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 others

  15. 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.

  16. [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

  17. THE ROLE OF TRAFFIC IN THE DEGRADATION OF EARTH ROADS

    Directory of Open Access Journals (Sweden)

    BWEMBA CHARLES

    2011-10-01

    Full Text Available This article examines the contribution of traffic to earth road degradation. This study leads to degradation evolution laws based on the traffic factor.The Nkol-Afamba-Dzeng (earth road section of Divisional road 46 (D46 of the priority national road network was chosen as case study. Traffic and degradation census forms were designed and their exploitation on the field over a period of nine (9 months enabled the plotting of Degradation/Traffic curves.Various findings were interpreted, leading to the establishment of degradation laws. This study would be a useful tool for decision-makers who, in order to ensure timely maintenance,must consider the evolution of degradation and traffic on any given stretch of road.

  18. 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

    2015-01-01

    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 (p 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. PMID:26016432

  19. Representing the road infrastructure in open traffic

    NARCIS (Netherlands)

    Tamminga, G.; Knoppers, P.

    2012-01-01

    In this paper we focus on the design of network objects for all types of assignment methods, varying from macroscopic assignments to micro simulation models. The basic idea is that the model environment should allow the simulation of traffic at multiple scales, based on standardized data formats. We

  20. 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.

  1. Road Pricing, Traffic Congestion and Economic Welfare: A Note

    OpenAIRE

    Ingo Böbel; Casimir de Rham

    2004-01-01

    Only recently, the subject of road pricing to reduce traffic congestion gained increasing importance in Europe. This paper uses a standard microeconomic approach to show that road user price charging to avoid traffic congestion is optimal from a society’s point of view as it improves economic efficiency of allocating a scarce resource (road space) by reducing the welfare loss (as being measured by a loss in consumer surplus) for everyone in the society.

  2. Port Moresby road traffic accident survey.

    Science.gov (United States)

    Lourie, J; Sinha, S

    1983-01-01

    Road Traffic Accidents (RTA's) are an important cause of morbidity and mortality in Papua New Guinea today. A survey of casualties from RTA's attending Port Moresby General Hospital over a seven-month period from November 1982 to June 1983 showed that of 209 patients seen, one-third were in cars and one-quarter were in utilities. The most dangerous positions in vehicles were (1) in the open back of a utility or truck, and (2) in the front seat (driver or passenger) of a car or utility. Only 13% of injured front-seat occupants of cars or utilities were wearing a seat-belt; in one-third of vehicles no seat belts were fitted. A plea is made for the strengthening of legislation to ensure the safety of passengers travelling in the open back of trucks or utilities, and for the introduction of legislation for fitting and wearing of seat-belts by front-seat occupants.

  3. 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

  4. 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 vulnera

  5. 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

    Background 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. Methods 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. Results 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. Conclusions 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. PMID:26073021

  6. Study on the effect of porous fence on air quality and traffic noise level around a double-decked road structure. Evaluation by numerical model.

    Science.gov (United States)

    Tokairin, Takayuki; Kitada, Toshihiro

    2005-06-01

    Fence for traffic noise control sometimes causes adverse effect on air pollution. Thus in this study, performance of porous fence as a tool for control of both air pollution and noise pollution was evaluated. A two-dimensional numerical model for flow and pollutant concentration and an analytical model for traffic noise were utilized in the analysis of a double-decked road structure with fences only at ground (Case 1) and at both ground and upper deck (Case 2). Porous fences were assumed only at the ground level since the solid fences at the upper deck usually leads to desirable result on air pollution. Effects of the variable porosity on air quality and noise level near road were evaluated. Obtained results showed: (1) flow pattern in leeward of fence was drastically changed at 40-50% porosity in Case 1 and 50% in Case 2. The porosity larger than 40% excluded presence of a circulation behind the fence. (2) Effect of porous fence on air pollution was different in Cases 1 and 2. In Case 1, the porous fence generally resulted in the reduction of air pollution at the ground level; on the other hand, in Case 2, it rather led to increase of the concentration. (3) Traffic noise level was also largely changed by the porosity of the fence; an example of simultaneous evaluation of the effects of porous fence on both air and noise pollution in Case 1 showed that the fence of 60% porosity leads to reduction of air pollution by 20% compared with solid fence case, and reduction of noise pollution by 4-6% in dB compared with no fence case, at 1 m high and 10 m from the road.

  7. 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.

  8. Motorcycles entering from access points and merging with traffic on primary roads in Malaysia: behavioral and road environment influence on the occurrence of traffic conflicts.

    Science.gov (United States)

    Abdul Manan, Muhammad Marizwan

    2014-09-01

    This paper uses data from an observational study, conducted at access points in straight sections of primary roads in Malaysia in 2012, to investigate the effects of motorcyclists' behavior and road environment attributes on the occurrence of serious traffic conflicts involving motorcyclists entering primary roads via access points. In order to handle the unobserved heterogeneity in the small sample data size, this study applies mixed effects logistic regression with multilevel bootstrapping. Two statistically significant models (Model 2 and Model 3) are produced, with 2 levels of random effect parameters, i.e. motorcyclists' attributes and behavior at Level 1, and road environment attributes at Level 2. Among all the road environment attributes tested, the traffic volume and the speed limit are found to be statistically significant, only contributing to 26-29% of the variations affecting the traffic conflict outcome. The implication is that 71-74% of the unmeasured or undescribed attributes and behavior of motorcyclists still have an importance in predicting the outcome: a serious traffic conflict. As for the fixed effect parameters, both models show that the risk of motorcyclists being involved in a serious traffic conflict is 2-4 times more likely if they accept a shorter gap to a single approaching vehicle (time lag road from the access point. A road environment factor, such as a narrow lane (seen in Model 2), and a behavioral factor, such as stopping at the stop line (seen in Model 3), also influence the occurrence of a serious traffic conflict compared to those entering into a wider lane road and without stopping at the stop line, respectively. A discussion of the possible reasons for this seemingly strange result, including a recommendation for further research, concludes the paper.

  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. [Forecast the trend of burden from fatal road traffic injuries between 2015 and 2030 in China].

    Science.gov (United States)

    Tan, Aichun; Tian, Danping; Huang, Yuanxiu; Gao, Lin; Deng, Xin; Li, Li; He, Qiong; Chen, Tianmu; Hu, Guoqing; Wu, Jing

    2014-05-01

    To predict the burden caused by fatal road traffic injuries from 2015 to 2030. We searched the websites of United Nations Population Division,United States Department of Agriculture, World Health Organization, China Energy Research Foundation and other agencies to obtain the predictive values of gross domestic product (GDP) per capita, urbanization, motorization and education from 2015 to 2030 in China. Predicted values were then applied to log-linear models to estimate the numbers and years of life lost due to road traffic injuries from 2015 to 2030. The mortality rate caused by road traffic injury decreased slightly, from 13.7/100 000 in 2015 to 11.8/100 000 in 2030. 191, 189, 183, 169 thousand persons were estimated to die from road traffic crashes in 2015, 2020, 2025 and 2030, respectively, showing a declining trend. Years of Life Lost (YLLs) caused by road traffic deaths were predicted to be 6 918, 6 634, 6 189, 5 513 thousand years in 2015, 2020, 2025 and 2030, respectively, also showing a gradual downward trend. But the YLLs displayed an increase among people at 55 years of age or older, between 2015 and 2030. Results from the sensitivity analysis showed a stable forecasting result. Mortality, number of deaths and YLLs from road traffic crashes were predicted to decrease slightly, between 2015 and 2030 but the number of deaths and YLLs due to road traffic injuries will continue to increase from 2015 to 2030.

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

    OpenAIRE

    2014-01-01

    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 s...

  12. Driving Behavior Shaping Model in Road Traffic System%驾驶行为形成模型及其在道路交通系统中的应用

    Institute of Scientific and Technical Information of China (English)

    王武宏

    2001-01-01

    为了给驾驶行为模型化和道路交通事故原因辨识提供新的途径,以便从实践上达到解决诸如驾驶失误预防和驾驶行为分析等道路交通安全问题,提出了适于定量评价驾驶失误对道路交通安全影响程度的驾驶行为形成模型. 该模型能用于辩识道路交通事故原因,为驾驶员训练提供数据,评价驾驶步骤和道路交通系统中人的因素设计.%In order to give a new way for modeling driving behavior, identifying road traffic accident causation and solving a variety of road traffic safety problems such as driving errors prevention and driving behavior analysis, a new driving behavior shaping model is proposed, which could be used to assess the degree of effect of driving error upon road traffic safety. Driver behavior shaping model based on driving reliability and safety analysis could be used to identify the road traffic accident causation, to supply data for driver's behavior training, to evaluate driving procedures, to human factor design of road traffic system.

  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. Pattern of road traffic injuries in Lublin County, Poland.

    Science.gov (United States)

    Goniewicz, Mariusz; Nogalski, Adam; Khayesi, Meleckidzedeck; Lübek, Tomasz; Zuchora, Beata; Goniewicz, Krzysztof; Miśkiewicz, Paulina

    2012-06-01

    Road traffic injury patients admitted to 35 hospitals in Lublin region. To describe the pattern of road traffic injuries in Lublin county, Poland. Review of medical records for the period from January 2004 to December 2005. Pedestrians accounted for the largest share of the Road traffic crash (RTC) injury cases (35.8%) and 46.4% of deaths. The highest mortality was observed in motorcycle occupants (7.1%) and victims with abdominal injuries (9.8%). Vulnerable road users represented 71.4% of all RTC deaths, with mortality 5.8%. Early transfers accounted for 82.5% of cases. Mortality in early transfers is 4 times higher than in late transfers. Poland ranks as one of the worst European countries in terms of severity and fatal outcomes of road traffic injuries. Groups of road users in Poland at the highest risk are pedestrians, cyclists, children and young male drivers. The highest mortality rate occurs among road users affected by multiple trauma and head/vertebral column injuries. Alleviation of consequences of road traffic injuries in Poland may be achieved by coordinated efforts and collective responsibility of government, central level agencies, rescue team members and community groups.

  15. Intelligent Model for Traffic Safety Applications

    Directory of Open Access Journals (Sweden)

    C. Chellappan

    2012-01-01

    Full Text Available Problem statement: This study presents an analysis on road traffic system focused on the use of communications to detect dangerous vehicles on roads and highways and how it could be used to enhance driver safety. Approach: The intelligent traffic safety application model is based on all traffic flow theories developed in the last years, leading to reliable representations of road traffic, which is of major importance in achieving the attenuation of traffic problems. The model also includes the decision making process from the driver in accelerating, decelerating and changing lanes. Results: The individuality of each of these processes appears from the model parameters that are randomly generated from statistical distributions introduced as input parameters. Conclusion: This allows the integration of the individuality factor of the population elements yielding knowledge on various driving modes at wide variety of situations.

  16. 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.

  17. Epidemiological characteristics of road traffic injuries in AP Vojvodina

    National Research Council Canada - National Science Library

    Durić, Predrag; Miladinov-Mikov, Marica

    2009-01-01

    .... It is estimated that every day in the world 1308 person die in car accidents. Causes of traffic accidents are factors of road, vehicle and human factors, the latter one being the cause of more than 90...

  18. 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 ).

  19. Optimization and its Extension on the Impact Model of Urban Road' s Traffic Capacity at Lane Occupied%城市道路通行能力影响模型优化及其推广

    Institute of Scientific and Technical Information of China (English)

    倪仁兴; 沈婷; 胡静雅; 陈靖倩

    2015-01-01

    In china, traffic congestion has become a serious problem in today's increasingly prominent on growing probloms of urban traffic. But, many older urban road planning form earlier, the existing urban road construction is so far as behind the economic development at present,. Among them, the lane occupied has become the big-gest problem of the traffic congestion, including traffic problem, street parking, lane construction and so on. This paper aims to take advantage of the knowledge of traffic flow theory, by SPSS and MATLAB software, the actual traffic jam road traffic capacity is examined, using the real scene of the accident, as reflected in the video data acquisition and analysis, inspired by the classic logistic population model, a block growth model is proposed and established. The relationship about vehicle queue length, time duration, traffic capacity and traffic flow is obtained. Meanwhile, according to the people's traffic expectations, we established model about vehicle queue length and its influencing factors in response to urban road occupied, and given timing program and traffic organ-ization scheme of upstream crossing signal lights. The use of block growth model can effectively optimize urban road capacity, ease urban traffic pressure and improve the traffic environment.%利用交通流理论等知识,借助于SPSS和MATLAB软件,考察实际交通堵塞道路的通行能力,通过对真实事故现场数据的采集分析,受经典的logistic人口模型启发,提出并建立了阻滞增长模型,得到了拥堵时车辆排队长度与持续时间、通行能力、车流量之间的关系.建立了城市道路被占时的车辆排队长度和其影响因子探究的数学模型,给出了上游路口信号灯配时方案和交通组织方案.运用阻滞增长模型可有效优化城市道路通行能力,缓解城市交通压力,改善交通环境.

  20. Dynamic Modeling and Feature Analysis of Traffic Noise in Elevated Road%高架复合道路交通噪声的动态模拟及特征分析

    Institute of Scientific and Technical Information of China (English)

    邹竞芳; 蔡铭; 王璐; 罗威力

    2012-01-01

    This paper models the dynamic traffic noise in elevated road and analyzes the impact of traffic noise on nearby buildings under various conditions. Combining microscopic traffic flow simulation technique, vehicle noise emission levels and noise propagation attenuation principle, the dynamic traffic noise simulation model for elevated road is established. And the instantaneous equivalent sound level and statistical sound level are calculated. The vertical and horizontal acoustic fields of the elevated road are simulated. The impacts of multi-lanes, vehicle speed, traffic volume, height of sound barrier and tree belt on the traffic noise level of the elevated road are analyzed. Also, the impact of traffic noise on different floors of buildings along the elevated road is analyzed. This work may provide a reference for traffic control, speed-limiting, sound barrier constructing and tree belt planning.%基于高架复合道路的噪声及其对周围环境的各种影响因素,结合声波的传递衰减建立动态的仿真模型. 由此计算实时噪声的等效声级及统计声级;为取得高架复合道路一侧垂直面和水平面的声场分布,在模拟分析中,也考虑多车道、车速、交通量、声屏障高度、林带布置等各种因素影响.

  1. 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.

  2. 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.

  3. 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.

  4. Road Traffic Noise Level Assessment at an Institutional Area

    Directory of Open Access Journals (Sweden)

    Dev Swaroop

    2014-09-01

    Full Text Available Unplanned and rapid urbanization, industrialization, increasing number of vehicles, poor traffic management, poor road condition etc. are the major causes of higher noise levels in most of the Indian cities. Prolonged exposure to higher noise levels can lead to irreversible Noise Induced Hearing Loss (NIHL. Noise-induced hearing loss is contributing one-third to the total persons suffering from hearing loss in every country in the world. The present study aims at measuring the noise levels in the university campus to analyze the current situation and suggesting noise control measures to be adopted in University campus and along MMA Jauhar Marg. The numbers of vehicles were counted during November 17-21, 2012 and noise levels were measured at various pre decided locations. The traffic load in horizon years 2013, 2017, 2022, 2027 and 2032 on the MMA Jauhar Marg Road is predicted on the basis of observed traffic data and expected annual growth rate as 8.0% for pre Metro and 3.5% for post Metro. The noise levels were measured using Larson Davis Model 831 Class 1 Sound Level Meter on both sides of road at foot paths along MMA Jauhar Marg and at various receptor locations inside the different buildings in the university campus. Model RLS-90 is used for prediction of noise levels. The prediction of metro noise is carried out using statistical calculations. The combined noise levels were compared with standard criteria for silent zone and found on higher side. Installation of environment noise barrier is suggested as one of the noise control measure to be adopted along MMA Jauhar Marg and along metro viaduct to save students and staff from exposure of higher noise levels.

  5. Relating the dynamics of road traffic in a stochastic cellular automaton to a macroscopic first-order model

    CERN Document Server

    Maerivoet, S; Immers, B; De Moor, B; Maerivoet, Sven; Logghe, Steven; Immers, Ben; Moor, Bart De

    2005-01-01

    In this paper, we describe a relation between a microscopic traffic cellular automaton (TCA) model (i.e., the stochastic TCA model of Nagel and Schreckenberg) and the macroscopic first-order hydrodynamic model of Lighthill, Whitham, and Richards (LWR). The innovative aspect of our approach, is that we explicitly derive the LWR's fundamental diagram directly from the STCA's rule set, by assuming a stationarity condition that converts the STCA's rules into a set of linear inequalities. In turn, these constraints define the shape of the fundamental diagram, which is then specified to the LWR model. Application of our methodology to a simulation case study, allows us to compare the tempo-spatial behavior of both models. Our results indicate that, in the presence of noise, the capacity flows in the derived fundamental diagram are overestimations of those of the STCA model. Directly specifying the STCA's capacity flows to the LWR fundamental diagram, effectively remedies most of the mismatches between both approach...

  6. 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

  7. 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 bet

  8. Adverse Effects of Long Term Exposure to Road Traffic Noise

    NARCIS (Netherlands)

    Y. de Kluizenaar (Yvonne)

    2015-01-01

    markdownabstract__Abstract__ 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

  9. 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 (pnoise sensitivity. Age and sex were associated with annoyance and sensitivity only in bivariate models. A considerable proportion of Finnish adults are highly annoyed by road-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.

  10. Road-Traffic Noise: Annoyance, Risk Perception, and Noise Sensitivity in the Finnish Adult Population

    Directory of Open Access Journals (Sweden)

    Enembe Oku Okokon

    2015-05-01

    Full Text Available 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 (p < 0.045 and positive environmental attitudes (p < 000 were associated with higher noise sensitivity. Age and sex were associated with annoyance and sensitivity only in bivariate models. A considerable proportion of Finnish adults are highly annoyed by road-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.

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

    African Journals Online (AJOL)

    FIRST LADY

    This means that the dominant and strongest road traffic accident pattern of. Lagos State ... Kenya has one of the highest road fatality rates in relation to vehicle ownership ... the higher the accident and fatality rate as well as the severity and non- ..... On the other hand, the aggregate effect of these number of cycles of differing.

  12. 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.

  13. 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

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

    Institute of Scientific and Technical Information of China (English)

    梅超群; 刘业进

    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 omen be influenced by the number of lanes, lane changing, the ramp flow, the input flow rate, and the geometry structure.

  15. 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.

  16. Reaction time of drivers who caused road traffic accidents

    Directory of Open Access Journals (Sweden)

    Đurić Predrag

    2009-01-01

    Full Text Available Introduction. Human factor is the single cause of road traffic injuries in 57%, and together with other factors in more than 90% of all road traffic accidents. Human factor includes many aspects, where reaction time is very important. Material and methods. Thirty healthy drivers 28-40 y.o. with 50-500 km passed per week, having caused at least one road traffic accident in the last ten years were selected, provided they were not under the influence of alcohol and drugs during traffic accident. The same number of control were selected. Both cases and controls were tested to reaction time. Results. We found statistically significant difference between car drivers who caused car accidents and those who did not in both simple and choice reaction times. Discussion. Car drivers who caused road traffic accidents have longer reaction time (both simple and choice reaction time, but as the tasks were more complex, that difference was less visible. Since drivers involved in this study had introductory phase before measuring their reaction times, they faced with unpleasant sound when they made mistake, which forced them to be aware not to make a mistake in further tasks, so they showed longer reaction times. Conclusion. Measuring of reaction time seems to be important, and as we have showed they are different in drivers who have caused road traffic accidents and those who have do not.

  17. Analysis of fatal road traffic crashes in Ghana.

    Science.gov (United States)

    Ackaah, Williams; Adonteng, David O

    2011-03-01

    The major objective of this study was to identify the risk factors associated with fatal road traffic crashes (RTCs) and to propose remedial measures to address them. Fatal RTC data for the period 2005-2007 in Ghana were analysed using the Micro-computer Accident Analysis Package (MAAP) software. Other transport-related research works were reviewed and incorporated in the article. The study showed that pedestrians accounted for 42% of all road traffic fatalities and nearly one-third (33%) of these crashes occurred during the early night-time hours. Children alone constituted almost one-third of all pedestrian fatalities. The occupants of goods vehicles accounted for 12% of all road traffic fatalities although goods vehicles constitute just about 9% of the total motor vehicle population in Ghana. Pedestrians, especially children bear a disproportionately high share of road traffic fatalities in Ghana. The risk of being killed as a pedestrian in traffic is exacerbated during night time. Excessive vehicular speeds, inappropriate use of goods vehicles for passenger transport, excessive loading and inadequate trauma care are the key contributory risk factors to the high number of road traffic fatalities. Concerted efforts spanning education, engineering, enforcement and trauma care are needed to stem the rise in fatal crashes in Ghana.

  18. 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.

  19. Road traffic accidents in Dubai, 2002-2008.

    Science.gov (United States)

    Al Marzooqi, Ali Hassan; Badi, Mohamed; El Jack, Aizeldin

    2010-07-01

    Road traffic injuries (RTIs) are among the leading causes of mortality in Dubai, and the burden of the problem on the health system is vast. This study aims to explore trends in road traffic accidents and to identify the most common factors associated with RTIs. A cross-sectional study was conducted using secondary data for the period from 2002 to 2008. Dubai reported steadily increasing numbers of road traffic injuries, from 2203 in the year 2002 to 3043 in the year 2008, representing a 38% increase. The associated mortality showed the same trend with an overall increase of 54% during the same period. The age distribution of road traffic injuries per 100 000 in the population shows 2 peaks in the age groups 18 to 26 years and 63 to 71 years. The trend of road traffic fatalities is increasing among UAE nationals as well as expatriates. RTIs were found to be more frequent on roads with high speed limits and with the presence of trucks. Further research is needed to identify associated risk factors.

  20. Impact of road traffic emissions on tropospheric ozone in Europe for present day and future scenarios

    Science.gov (United States)

    Mertens, Mariano; Kerkweg, Astrid; Grewe, Volker; Jöckel, Patrick

    2016-04-01

    Road traffic is an important anthropogenic source of NOx, CO and non-methane hydrocarbons (NMHCs) which act as precursors for the formation of tropospheric ozone. The formation of ozone is highly non-linear. This means that the contribution of the road traffic sector cannot directly be derived from the amount of emitted species, because they are also determined by local emissions of other anthropogenic and natural sources. In addition, long range transport of precursors and ozone can play an important role in determining the local ozone budget. For a complete assessment of the impact of road traffic emissions it is therefore important to resolve both, local emissions and long range transport. This can be achieved by the use of the newly developed MECO(n) model system, which on-line couples the global chemistry-climate-model EMAC with the regional chemistry-climate-model COSMO-CLM/MESSy. Both models use the same chemical speciation. This allows a highly consistent model chain from the global to the local scale. To quantify the contribution of the road traffic emissions to tropospheric ozone we use an accounting system of the relevant reaction pathways of the different species from different sources (called tagging method). This tagging scheme is implemented consistently on all scales, allowing a direct comparison of the contributions. With this model configuration we investigate the impact of road traffic emissions to the tropospheric ozone budget in Europe. For the year 2008 we compare different emission scenarios and investigate the influence of both model and emission resolution. In addition, results of a mitigation scenario for the year 2030 are presented. They indicate that the contribution of the road traffic sector can be reduced by local reductions of emissions during summer. During winter the importance of long range transport increases. This can lead to increased contributions of the road traffic sector (e.g. by increased emissions in the US) even if local

  1. 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 a

  2. 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

  3. 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.

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

    OpenAIRE

    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 gen...

  5. Cell Transmission Model Under Different Patterns of Road Traffic State%分路段交通状态模式元胞传递模型

    Institute of Scientific and Technical Information of China (English)

    弓晋丽; 杨东援; 彭贤武

    2011-01-01

    对城市快速路元胞传递(CTM)模型进行了研究.根据不同路段交通状态模式下,路段交通流动态特性的“可观测性”会由于交通信息传播方式差异而不同,提出了城市快速路分模式元胞传递模型.该模型更新了流量传输模型,将其表示为不同路段交通状态模式下的分段函数形式,并针对城市快速路构建了下匝道流量传输模型.以上海南北高架部分路段实际检测数据为例,测试比较了3种宏观元胞自动机模型,结论为分模式CTM模型性能最好.在将其应用于大规模数据测试时,密度估计结果平均百分比误差为20%左右,流量估计结果平均百分比误差为10%左右,仿真效果比较理想.%A research was made of the cell transmission models on city expressway. The Pattern cell transmission model (CTM) was proposed based on that the observability of traffic flows' dynamic characteristic appeared to be different according the transmission methods of traffic information under different patterns of road traffic state. In Pattern CTM cell transmission model, the flow transmission model on main-road was updated to be expressed as the form of piecewise function and the flow transmission model on off-ramp was constructed against the city expressway. Taking the real data on Shanghai North - South Expressway as example, theperformance of three CTMs were compared. The result shows that the Pattern CTM is the best of all. When the Pattern CTM is applied in large scales, the mean percent error (MPE) of density is around 20% and the MPE of flow is around 10%, which show that the simulation result is satisfactory.

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

    Directory of Open Access Journals (Sweden)

    Osoro Mogaka Eric

    2011-03-01

    Full Text Available 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, Kenya. METHODS: Road crash victims attending the Thika district hospital, a 265-bed public hospital, emergency room were recruited consecutively between 10th August 2009 and 15th November 2009. Epidemiologic and clinical information was collected from medical charts and through interview with the victims or surrogates using a semi-structured questionnaire. Injuries were graded as severe or non-severe based on the Injury Severity Score (ISS. Independent factors associated with injury severity were assessed using multivariate logistic regression. RESULTS: The mean age of participants was 32.4 years, three quarters were between 20-49 years-old and 73% (219 were male. Nineteen percent (56/300 of the victims had severe injury. Five percent (15 had head injury while 38% (115 had fractures. Vulnerable road users (pedestrians and two-wheel users comprised 33% (99/300 of the victims. Vulnerable road users (OR=2.0, 95%CI=1.0-3.9, road crashes in rainy weather (OR=2.9, 95%CI=1.3-6.5 and night time crashes (OR=2.0, 95%CI=1.1-3.9 were independent risk factors for sustaining severe injury. CONCLUSION: Severe injury was associated with vulnerable road users, rainy weather and night time crashes. Interventions and measures such as use of reflective jackets and helmets by two wheel users and enhanced road visibility could help reduce the severity of road traffic injuries

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

    Science.gov (United States)

    Mogaka, Eric Osoro; Ng'ang'a, Zipporah; Oundo, Joseph; Omolo, Jared; Luman, Elizabeth

    2011-01-01

    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, Kenya. Road crash victims attending the Thika district hospital, a 265-bed public hospital, emergency room were recruited consecutively between 10th August 2009 and 15th November 2009. Epidemiologic and clinical information was collected from medical charts and through interview with the victims or surrogates using a semi-structured questionnaire. Injuries were graded as severe or non-severe based on the Injury Severity Score (ISS). Independent factors associated with injury severity were assessed using multivariate logistic regression. The mean age of participants was 32.4 years, three quarters were between 20-49 years-old and 73% (219) were male. Nineteen percent (56/300) of the victims had severe injury. Five percent (15) had head injury while 38% (115) had fractures. Vulnerable road users (pedestrians and two-wheel users) comprised 33% (99/300) of the victims. Vulnerable road users (OR=2.0, 95%CI=1.0-3.9), road crashes in rainy weather (OR=2.9, 95%CI=1.3-6.5) and night time crashes (OR=2.0, 95%CI=-1.1-3.9) were independent risk factors for sustaining severe injury. Severe injury was associated with vulnerable road users, rainy weather and night time crashes. Interventions and measures such as use of reflective jackets and helmets by two wheel users and enhanced road visibility could help reduce the severity of road traffic injuries.

  8. 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.

  9. 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.

  10. The use of Grey System Theory in predicting the road traffic accident in Fars province in Iran

    Directory of Open Access Journals (Sweden)

    Ali Mohammadi

    2011-10-01

    Full Text Available Traffic accidents have become a more and more important factor that restrict the development of economy and threaten the safety of human beings. Considering the complexity and uncertainty of the influencing factors on traffic accidents, traffic accident forecasting can be regarded as a grey system with unknown and known information, so be analyzed by grey system theory. Grey models require only a limited amount of data to estimate the behavior of unknown systems. In this paper, first, the original predicted values of road traffic accidents are separately obtained by the GM (1,1 model, the Verhulst model and the DGM(2,1 model. The results of these models on predicting road traffic accident show that the forecasting accuracy of the GM(1,1 is higher than the Verhulst model and the DGM(2,1 model. Then, the GM(1,1 model is applied to predict road traffic accident in Fars province.

  11. Research of Road Traffic Facilities System Based on GIS

    Directory of Open Access Journals (Sweden)

    Liu-Jian

    2013-06-01

    Full Text Available In order to improve the labor efficiency and economic benefit of road traffic facilities system and reduce resource waste, a scheme of road traffic facilities system based on GIS is provided in this paper. In the new scheme, firstly, we proposed Visual C++ embedding MapX component to program for the visualization of data and function analysis of space, and constructed core table in database and established property database and space database to improve efficiency; then we put forward the system function of traditional traffic facilities such as data collection, construction and management of engineering and so on. The results show that the system can ensure the safety and smooth of traffic than ever.

  12. 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.

  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. The influence of road traffic noise on sleep

    Science.gov (United States)

    Eberhardt, J. L.

    1988-12-01

    The influence of road traffic noise on the sleep of adults and 6-11 year old children was studied by using electrophysiological methods. Young adults, unaccustomed to traffic noise, were disturbed by continuous and intermittent traffic noise at 45 dB(A). No sleep disturbances were found for continuous traffic noise at 36 dB(A). Car passages with a peak noise level of 55 dB(A) caused awakenings. The equivalent sound pressure level ( Leq) did not correlate with sleep disturbance effects. A better noise dose description was found in the number of vehicles per night that made most noise. Children wer about 10 dB(A) less sensitive than adults to awakening reactions, and even less sensitive with respect to disturbances of REM sleep and deep sleep. Total habituation to road traffic noise did not occur, even after at least one year of exposure. Sound reduction in the bedroom induced increased amounts of deep sleep for adults and reduced falling-asleep time for children. Road traffic noise during the first hours of a night's sleep tended to disturb sleep more than when it ocurred later in the night, the main effects being a reduction of the total amount of REM sleep during the night and an increased duration of intermittent wakefulness during the hours of exposure.

  15. Modelling of urban traffic networkof signalized intersections

    OpenAIRE

    2013-01-01

    This report presents how traffic network of signalized intersection in a chosen urban area called Tema is synchronized. Using a modular approach, two different types of traffic intersection commonly found in an urban area were modelled i.e. a simple intersection and a complex intersection. A direct road, even though not an intersection, was also included in the modelling because it’s commonly found in an urban area plus it connects any two intersections. Each of these scenarios was modelled u...

  16. 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.

  17. 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.

  18. 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

  19. 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.

  20. Coexistence of up- and downstream traffic waves on a ring road

    Science.gov (United States)

    van der Weele, K.; Kanellopoulos, G.

    2016-09-01

    It is an observational fact that density waves in vehicle traffic can move in either direction: small-amplitude waves travel in the same direction as the cars (downstream) whereas high-amplitude waves or "jams" travel in the opposite direction (upstream). We construct a model of ring road traffic to demonstrate how this comes about. Our model shows the spontaneous generation of these density waves, explains their stability properties, and pinpoints the precise density level at which the wave speed changes direction.

  1. Road traffic noise frequency and prevalent hypertension in Taichung, Taiwan : a cross-sectional study

    NARCIS (Netherlands)

    Chang, Ta Yuan; Beelen, Rob; Li, Su Fei; Chen, Tzu I.; Lin, Yen Ju; Bao, Bo Ying; Liu, Chiu Shong

    2014-01-01

    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 an

  2. ROAD TRAFFIC SAFETY AUDIT AT LOCAL OBJECT OF MINSK ROADWAY NETWORK

    National Research Council Canada - National Science Library

    D. V. Kapsky; D. V. Mozalevsky; V. N. Kuzmenko; A. V. Korzhova; A. S. Polkhovskaya; E. N. Kostiukovich; N. V. Ariushevskaya

    2015-01-01

    population of the Republic. Quality of the road traffic or its specific characteristics can be quantitatively estimated in terms of losses and by that we understand social and economic value of non-obligatory expenses in road traffic...

  3. 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.

  4. Mechanisms of injury of pedestrians in road traffic accidents

    Directory of Open Access Journals (Sweden)

    Milošević Miroslav

    2015-01-01

    Full Text Available Determination of direction of car impact on pedestrian is complex interdisciplinary biomechanical analysis, which sintetize the work of legal medicine and traffic engineering professions. Injury characteristics depends on constitution and position of pedestrian, and type of passenger car. There are different mechanisms of injury arising from sum of effect of complex mechanical forces, from motion and impact on human body. Results are showing that new generation car, with aerodinamic wedge front, favorize occurrence of hyperextensive injuries, while speed presents dominant factor of intensity of injuries. In modern traffic conditions, we found multiple reduction of number of deaths of pedestrians in road traffic accidents.

  5. 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.

  6. Traffic Congestion Model: Challenges and Opportunities

    Science.gov (United States)

    Enjat Munajat, M. D.; Munir, Rinaldi; Widyantoro, Dwi H.

    2017-01-01

    This paper discusses models to detect traffic congestion using two approaches: road detection and moving object detection. There are two methods proposed to detect roads and moving objects. The methods involve the detection of both moving and non-moving objects. The system presented in this paper is able to detect roads as well as moving objects. However, further development is needed to detect extreme road curves. The system presented in this paper is relatively inexpensive since it only uses one camera and capable of capturing satisfactorily detailed images.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. Fuzzy peak hour for urban road traffic network

    Science.gov (United States)

    Tian, Zhao; Jia, Li-Min; Dong, Hong-Hui; Zhang, Zun-Dong; Ye, Yang-Dong

    2015-06-01

    Traffic congestion is now nearly ubiquitous in many urban areas and frequently occurs during rush hour periods. Rush hour avoidance is an effective way to ease traffic congestion. It is significant to calculate the rush hour for alleviating traffic congestion. This paper provides a method to calculate the fuzzy peak hour of the urban traffic network considering the flow, speed and occupancy. The process of calculation is based on betweenness centrality of network theory, optimal separation method, time period weighting, probability-possibility transformations and trapezoidal approximations of fuzzy numbers. The fuzzy peak hour of the urban road traffic network (URTN) is a trapezoidal fuzzy number [m1, m2, m3, m4]. It helps us (i) to confirm a more detailed traffic condition at each moment, (ii) to distinguish the five traffic states of the traffic network in one day, (iii) to analyze the characteristic of appearance and disappearance processes of the each traffic state and (iv) to find out the time pattern of residents travel in one city.

  13. Road Usage Heterogeneity and Mitigation of Traffic Congestion

    Science.gov (United States)

    Gomzalez, Marta C.; Wang, Pu

    2012-02-01

    Road networks form the backbone of the social and economic life of a city. Until recently, however, data have not been available to study the impact of trip selection on traffic congestion at an urban scale. To that end, we combined the most complete record of daily trips with the detailed road GIS data to analyze the road usage patterns in two US metropolitan areas. We classify the importance of road segments based on their ability to attract drivers from diverse sources and find that most of them are mainly used by drivers from very few sources. Thanks to this heterogeneity, we find that it is possible to design an efficient strategy to largely reduce the travel time in the road system.

  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. 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

  16. 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)…

  17. 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 mor

  18. 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 mor

  19. Road traffic noise and annoyance: A quantification of the effect of quiet side exposure at dwellings

    NARCIS (Netherlands)

    Kluizenaar, Y. de; Janssen, S.A.; Vos, H.; Salomons, E.M.; Zhou, H.; Berg, F. van den

    2013-01-01

    Previous studies indicate that residents may benefit from a "quiet side" to their dwellings. The influence of the level of road traffic noise exposure at the least exposed side on road traffic noise annoyance was studied in Amsterdam, The Netherlands. Road traffic noise exposure was assessed at the

  20. 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.

  1. 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

    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-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. Conclusion: 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. PMID:23012183

  2. 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

  3. 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

  4. 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

  5. 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.

  6. 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.

  7. 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.

  8. Brazilian road traffic fatalities: a spatial and environmental analysis.

    Directory of Open Access Journals (Sweden)

    Luciano de Andrade

    Full Text Available BACKGROUND: Road traffic injuries (RTI are a major public health epidemic killing thousands of people daily. Low and middle-income countries, such as Brazil, have the highest annual rates of road traffic fatalities. In order to improve road safety, this study mapped road traffic fatalities on a Brazilian highway to determine the main environmental factors affecting road traffic fatalities. METHODS AND FINDINGS: Four techniques were utilized to identify and analyze RTI hotspots. We used spatial analysis by points by applying kernel density estimator, and wavelet analysis to identify the main hot regions. Additionally, built environment analysis, and principal component analysis were conducted to verify patterns contributing to crash occurrence in the hotspots. Between 2007 and 2009, 379 crashes were notified, with 466 fatalities on BR277. Higher incidence of crashes occurred on sections of highway with double lanes (ratio 2∶1. The hotspot analysis demonstrated that both the eastern and western regions had higher incidences of crashes when compared to the central region. Through the built environment analysis, we have identified five different patterns, demonstrating that specific environmental characteristics are associated with different types of fatal crashes. Patterns 2 and 4 are constituted mainly by predominantly urban characteristics and have frequent fatal pedestrian crashes. Patterns 1, 3 and 5 display mainly rural characteristics and have higher prevalence of vehicular collisions. In the built environment analysis, the variables length of road in urban area, limited lighting, double lanes roadways, and less auxiliary lanes were associated with a higher incidence of fatal crashes. CONCLUSIONS: By combining different techniques of analyses, we have identified numerous hotspots and environmental characteristics, which governmental or regulatory agencies could make use to plan strategies to reduce RTI and support life-saving policies.

  9. A mathematical theory for related long term developments of road traffic and safety.

    NARCIS (Netherlands)

    Oppe, S. & Koornstra, M. J.

    1990-01-01

    This article presents and discusses an adoptive evolution model for forecasting long term developments in road safety. It takes into account both traffic growth and human adaptation. Earlier parsimonious models such as those used here are also discussed, and shown to predict trends in accident rates

  10. The Effect of Road Traffic Noise on Reaction Time

    Science.gov (United States)

    Alimohammadi, Iraj; Zokaei, Mojtaba; Sandrock, Stephan

    2015-01-01

    Background: Traffic noise is one of the main important sources in urban noise pollution, which causes various physiological and psychological effects that can cause disturbs in performance, sleep disturbances, hearing loss and impact on job performance. This study was conducted to verify the impact of road traffic noise on reaction time in terms of extraversion and sex. Methods: Traffic noise was measured and recorded in 10 arterial streets in Tehran, and then the recorded noise was emitted towards participants in an acoustic room. The participants were 80 (40 cases and 40 controls) students. Personality type was determined by Eysenck Personality Inventory (EPI) questioner. Reaction time before and after exposure to traffic noise was measured. Results: Reaction time before exposure to traffic noise did not differ (P=0.437) significantly between introverts and extraverts. However, it was increased significantly in both groups after exposure to traffic noise (PIntrovert’s reaction time was more increased than that of extraverts. Conclusion: Traffic noise augmented reaction time of both males and females. This study also revealed that exposure to traffic noise leads to increase in reaction time. PMID:26634199

  11. Traffic modelling framework for electric vehicles

    Science.gov (United States)

    Schlote, Arieh; Crisostomi, Emanuele; Kirkland, Stephen; Shorten, Robert

    2012-07-01

    This article reviews and improves a recently proposed model of road network dynamics. The model is also adapted and generalised to represent the patterns of battery consumption of electric vehicles travelling in the road network. Simulations from the mobility simulator SUMO are given to support and to illustrate the efficacy of the proposed approach. Applications relevant in the field of electric vehicles, such as optimal routing and traffic load control, are provided to illustrate how the proposed model can be used to address typical problems arising in contemporary road network planning and electric vehicle mobility.

  12. 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.

  13. Speed-Flow Analysis for Interrupted Oversaturated Traffic Flow with Heterogeneous Structure for Urban Roads

    Directory of Open Access Journals (Sweden)

    Hemant Kumar Sharma

    2012-06-01

    Full Text Available Speed–flow functions have been developed by several transportation experts to predict accurately the speed of urban road network. 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 curve. 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 tedious in case of urban roads with heterogeneous traffic, oversaturated flow and signalized network (which includes some unsignalized intersections as well. This paper presents speed-flow analysis for urban roads with interrupted flow comprising of 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 shall predict speed, delay, average queue and maximum queue estimates for urban roads and quantify congestion for oversaturated condition. The investigation details oversaturated portion of flow in particular.

  14. Impact of traffic congestion on road accidents: a spatial analysis of the M25 motorway in England.

    Science.gov (United States)

    Wang, Chao; Quddus, Mohammed A; Ison, Stephen G

    2009-07-01

    Traffic congestion and road accidents are two external costs of transport and the reduction of their impacts is often one of the primary objectives for transport policy makers. The relationship between traffic congestion and road accidents however is not apparent and less studied. It is speculated that there may be an inverse relationship between traffic congestion and road accidents, and as such this poses a potential dilemma for transport policy makers. This study aims to explore the impact of traffic congestion on the frequency of road accidents using a spatial analysis approach, while controlling for other relevant factors that may affect road accidents. The M25 London orbital motorway, divided into 70 segments, was chosen to conduct this study and relevant data on road accidents, traffic and road characteristics were collected. A robust technique has been developed to map M25 accidents onto its segments. Since existing studies have often used a proxy to measure the level of congestion, this study has employed a precise congestion measurement. A series of Poisson based non-spatial (such as Poisson-lognormal and Poisson-gamma) and spatial (Poisson-lognormal with conditional autoregressive priors) models have been used to account for the effects of both heterogeneity and spatial correlation. The results suggest that traffic congestion has little or no impact on the frequency of road accidents on the M25 motorway. All other relevant factors have provided results consistent with existing studies.

  15. Model of the Effect of Traffic Accidents in the City on the Road Capacity%城市交通事故对道路通行能力影响模型

    Institute of Scientific and Technical Information of China (English)

    胡宏

    2013-01-01

    用 M/G/1排队系统理论分析了交通事故发生后交通堵塞与道路通行能力、路段上游车流量的关系,并建立了数学模型。利用这一模型可以对堵塞时的车队长度进行计算。%In this paper ,we analyze that the relationships between the traffic congestion and the road capacity , the vehicle flow on the upper section of road ,and bulid a mathematical model .Using the model ,we can calculate the length of the vehicles in the traffic congestion.

  16. Development of forecasting models for fatal road traffic injuries%致死性道路交通伤害预测模型的构建

    Institute of Scientific and Technical Information of China (English)

    谭爱春; 田丹平; 黄渊秀; 高林; 邓欣; 李黎; 何琼; 陈田木; 胡国清

    2014-01-01

    目的 构建针对致死性道路交通伤害预测模型,为预测道路交通伤害未来发展趋势提供基础.方法 查询WHO死亡数据库获取不同国家道路交通伤害死亡人数资料,通过世界银行、WHO、联合国人口司等机构网站获取各国不同年份人均GDP、城市化水平、机动化水平及教育水平等资料,构建包含上述4个自变量的男女各年龄组道路交通伤害死亡率对数模型,并与WHO模型拟合优度进行比较.结果 共收集2 626份数据(来自153个国家/地区;男女各半;时间1965-2010年).选用人均GDP、机动化水平、城市化水平和教育水平4个变量构建的道路交通伤害死亡率拟合模型均具有统计学意义(P<0.001),男性0~4、5~14、15 ~24、25~34、35~44、45~54、55 ~ 64、≥65岁组模型的决定系数R2分别为22.7%、31.1%、51.8%、52.3%、44.9%、41.8%、40.1%、25.5%,女性各年龄组分别为22.9%、32.6%、51.1%、49.3%、41.3%、35.9%、30.7%、20.1%;WHO模型仅选用人均GDP、教育水平和时间变量构建不同性别、年龄组预测模型,差异均有统计学意义(P<0.001),男性各年龄组模型决定系数R2分别为14.9%、22.0%、31.5%、33.1%、30.7%、28.5%、27.7%、17.8%;女性各年龄组模型分别为14.1%、20.6%、30.4%、31.8%、26.7%、24.3%、17.3%、8.8%.结论 本研究构建的道路交通伤害预测模型优于WHO模型.%Objective To develop the forecasting models for fatal road traffic injuries and to provide evidence for predicting the future trends on road traffic injuries.Methods Data on the mortality of road traffic injury including factors as gender and age in different countries,were obtained from the World Health Organization Mortality Database.Other information on GDP per capita,urbanization,motorization and education were collected from online resources of World Bank,WHO,the United Nations Population Division and

  17. Phase transitions in traffic flow on multilane roads.

    Science.gov (United States)

    Kerner, Boris S; Klenov, Sergey L

    2009-11-01

    Based on empirical and numerical analyses of vehicular traffic, the physics of spatiotemporal phase transitions in traffic flow on multilane roads is revealed. The complex dynamics of moving jams observed in single vehicle data measured by video cameras on American highways is explained by the nucleation-interruption effect in synchronized flow, i.e., the spontaneous nucleation of a narrow moving jam with the subsequent jam dissolution. We find that (i) lane changing, vehicle merging from on-ramps, and vehicle leaving to off-ramps result in different traffic phases-free flow, synchronized flow, and wide moving jams-occurring and coexisting in different road lanes as well as in diverse phase transitions between the traffic phases; (ii) in synchronized flow, the phase transitions are responsible for a non-regular moving jam dynamics that explains measured single vehicle data: moving jams emerge and dissolve randomly at various road locations in different lanes; (iii) the phase transitions result also in diverse expanded general congested patterns occurring at closely located bottlenecks.

  18. Phase transitions in traffic flow on multilane roads

    Science.gov (United States)

    Kerner, Boris S.; Klenov, Sergey L.

    2009-11-01

    Based on empirical and numerical analyses of vehicular traffic, the physics of spatiotemporal phase transitions in traffic flow on multilane roads is revealed. The complex dynamics of moving jams observed in single vehicle data measured by video cameras on American highways is explained by the nucleation-interruption effect in synchronized flow, i.e., the spontaneous nucleation of a narrow moving jam with the subsequent jam dissolution. We find that (i) lane changing, vehicle merging from on-ramps, and vehicle leaving to off-ramps result in different traffic phases—free flow, synchronized flow, and wide moving jams—occurring and coexisting in different road lanes as well as in diverse phase transitions between the traffic phases; (ii) in synchronized flow, the phase transitions are responsible for a non-regular moving jam dynamics that explains measured single vehicle data: moving jams emerge and dissolve randomly at various road locations in different lanes; (iii) the phase transitions result also in diverse expanded general congested patterns occurring at closely located bottlenecks.

  19. 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.

  20. Can road traffic law enforcement permanently reduce the number of accidents?

    Science.gov (United States)

    Bjørnskau, T; Elvik, R

    1992-10-01

    In this paper it is argued that conventional analyses of road user adaptation to traffic law enforcement, based on parametric rational-choice theory, are flawed. Such analyses only consider road-user actions as a response to enforcement level and penalty size and do not simultaneously consider enforcement as a response to road-user behaviour. If each party is considered a rational agent who adapts to the other's behaviour, the proper way to analyze the outcomes is by the way of game theory. A game-theoretic model is presented and the main implications are: (i) most attempts at enforcing road traffic legislation will not have any lasting effects, either on road-user behaviour or on accidents; (ii) imposing stricter penalties (in the form of higher fines or longer prison sentences) will not affect road-user behaviour; (iii) imposing stricter penalties will reduce the level of enforcement; (iv) implementing automatic traffic surveillance techniques and/or allocating enforcement resources according to a chance mechanism, and not according to police estimates of violation probability, can make enforcement effects last, but both alternatives are difficult to implement. Relevant empirical studies are reviewed, and they seem to support the conclusions arrived at by the game-theoretic model.

  1. Prediction of road traffic death rate using neural networks optimised by genetic algorithm.

    Science.gov (United States)

    Jafari, Seyed Ali; Jahandideh, Sepideh; Jahandideh, Mina; Asadabadi, Ebrahim Barzegari

    2015-01-01

    Road traffic injuries (RTIs) are realised as a main cause of public health problems at global, regional and national levels. Therefore, prediction of road traffic death rate will be helpful in its management. Based on this fact, we used an artificial neural network model optimised through Genetic algorithm to predict mortality. In this study, a five-fold cross-validation procedure on a data set containing total of 178 countries was used to verify the performance of models. The best-fit model was selected according to the root mean square errors (RMSE). Genetic algorithm, as a powerful model which has not been introduced in prediction of mortality to this extent in previous studies, showed high performance. The lowest RMSE obtained was 0.0808. Such satisfactory results could be attributed to the use of Genetic algorithm as a powerful optimiser which selects the best input feature set to be fed into the neural networks. Seven factors have been known as the most effective factors on the road traffic mortality rate by high accuracy. The gained results displayed that our model is very promising and may play a useful role in developing a better method for assessing the influence of road traffic mortality risk factors.

  2. 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.

  3. 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.

  4. EMPIRICAL VERIFICATION OF ANISOTROPIC HYDRODYNAMIC TRAFFIC MODEL IN TRAFFIC ANALYSIS AT INTERSECTIONS IN URBAN AREA

    Institute of Scientific and Technical Information of China (English)

    WEI Yan-fang; GUO Si-ling; XUE Yu

    2007-01-01

    In this article, the traffic hydrodynamic model considering the driver's reaction time was applied to the traffic analysis at the intersections on real roads. In the numerical simulation with the model, the pinch effect of the right-turning vehicles flow was found, which mainly leads to traffic jamming on the straight lane. All of the results in accordance with the empirical data confirm the applicability of this model.

  5. Calibrating Car Following Parameters for Snowy Road Conditions in the Microscopic Traffic Simulator VISSIM

    NARCIS (Netherlands)

    Asamer, J.; Van Zuylen, H.J.; Heilmann, B.

    2013-01-01

    Calibrated simulation models taking into account adverse weather conditions can be used to optimise traffic management strategies, such as speed adaptation and signal timing optimisation. On snowy road conditions, car following behaviour changes because drivers tend to accelerate more slowly, increa

  6. 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.

  7. Real-time Detection of Road Traffic Incidents

    Directory of Open Access Journals (Sweden)

    Pero Škorput

    2010-07-01

    KEY WORDS: intelligent transport system, incident management system, traffic model in the status space, theory of estimation, extended Kalman filter, automatic incident detection, decision support system

  8. 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.

  9. 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.

  10. Estimation of Populations Exposed to Road Traffic Noise in Districts of Seoul Metropolitan Area of Korea

    Directory of Open Access Journals (Sweden)

    Jaewon Lee

    2014-03-01

    Full Text Available This study aims to model road traffic noise levels and estimate the human exposure at the 25 districts in the metropolitan Seoul, Republic of Korea. The SoundPLAN® Version 7.1 software package was used to model noise levels and simulated road traffic noise maps were created. The people exposed to daytime/nighttime road traffic noise were also estimated. The proportions of the population exposed to road traffic noise in major cities in the EU were also estimated and compared. Eight (8 districts show the exceeded rate (percentage of the exposed population exceeding the daytime standard of 20% or more, and eleven (11 districts show 10%-20% and six (6 districts show less than 10%, which indicates considerable variation among districts. Two districts (Nowon-gu and Yangcheon-gu show the highest exposure rate during the daytime (35.2%. For nighttime noise levels, fourteen (14 districts show the exceeded rate (percentage of exposed population exceeding the nighttime standard over 30%. The average percentages of the exposed population exceeding the daytime/nighttime standards in Seoul and the EU were 16.6%/34.8% and 13.0%/16.1%, respectively. The results show that road traffic noise reduction measures should urgently be taken for the nighttime traffic noise in Seoul. When the grid noise map and the 3-D façade noise map were compared, the 3-D façade noise map was more accurate in estimating exposed population in citywide noise mapping.

  11. SELECTED PROBLEMS OF PROTECTION AGAINST ROAD TRAFFIC NOISE

    Directory of Open Access Journals (Sweden)

    Władysław Gardziejczyk

    2015-11-01

    Full Text Available The paper presents factors for assessment of road traffic noise level and possible actions towards the minimization of excessive noise in the roadway neighborhood. Changes of equivalent sound level values were analyzed in relation to traffic intensity, categorization and vehicles speed. In relation to measures reducing noise level in roadway’s surroundings particular attention was given to anti-noise protections and tyre/noise reduction. Acoustic effectiveness of specific solutions was showed based on chosen examples. It was proved that when admissible noise level is slightly exceeded the need for noise barrier use may be replaced by a proper design and maintenance of road pavement or by enforcement of speed limit.

  12. 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;p<0.001), a greater need for health/social services (OR=1.5;p=0.003), and more problems with private transportation (OR=1.6;p<0.001), moving around outside the home (OR=1.6;p<0.001) and changes in economic activity (OR=2.4;p<0.001). 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. Copyright © 2014 SESPAS. Published by Elsevier Espana. All rights reserved.

  13. 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

  14. Road traffic injuries in developing countries: research and action agenda

    OpenAIRE

    Huang, Cheng-Min; International Injury Research Unit, Department of International Health, Johns Hopkins Bloomberg School of Public Health. Baltimore, MD, USA. Médico, Magíster en Ciencias de la Salud.; Lunnen, Jeffrey C.; International Injury Research Unit, Department of International Health, Johns Hopkins Bloomberg School of Public Health. Baltimore, MD, USA. Candidato a Magíster en Estudios de la Mujer.; Miranda, J. Jaime; Programa de Investigación en Accidentes de Tránsito, Salud Sin Límites Perú. Lima, Perú. Facultad de Medicina, Universidad Peruana Cayetano Heredia. Lima, Perú. Médico, Magíster y Doctor en Epidemiología.; Hyder, Adnan A.; International Injury Research Unit, Department of International Health, Johns Hopkins Bloomberg School of Public Health. Baltimore, MD, USA. Médico Magíster y Doctor en Salud Pública.

    2010-01-01

    Road traffic injury (RTI) is the leading cause of death in persons aged 10-24 worldwide and accounts for about 15% of all male deaths. The burden of RTI is unevenly distributed amongst countries with over eighty-fold differences between the highest and lowest death rates. Thus the unequal risk of RTI occurring in the developing world, due to many reasons, including but not limited to rapid motorization and poor infrastructure, is a major global challenge. This editorial highlights a numbe...

  15. Road traffic accidents in patients with obstructive sleep apnoea.

    Science.gov (United States)

    Liam, C K; How, L G; Tan, C T

    1996-03-01

    Three patients involved in road traffic accidents were suspected to have obstructive sleep apnoea (OSA). Two of them fell asleep while riding motorcycles and one patient fell asleep behind the wheel of a truck causing it to overturn. The diagnosis of OSA in each case was suspected based on a history of loud snoring, restless sleep, and excessive daytime somnolence and was confirmed by sleep studies.

  16. 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.

  17. Spinal cord injuries from road traffic crashes in southeastern Iran

    Institute of Scientific and Technical Information of China (English)

    Mohammad R Rasouli; Mohsen Nouri; Vafa Rahimi-Movaghar

    2007-01-01

    Objective: To analyze the data of patients with spinal cord injury (SCI) induced by road traffic crashes in southeastern Iran for better understanding the pattern of these injuries and therefore for better designing health system planning.Methods: In this historical cohort study, the patients who had been transferred to Level I trauma center in southeastern Iran due to road traffic accidents with radiographic documented SCI were evaluated.Results: Among 64 patients with SCI, 38 patients (59.4%, 36 males and 2 females, aged 27.42 years ± 9.44 years on average) were injured by road traffic accidents.Car and motorcycle accidents were responsible for 26 cases (68.4%) and 12 cases (31.6%), respectively. And 31 patients (81. 6%) had complete SCI. Conus medularis (T12-L2) was the most affected level.Conclusions: Results are discussed in terms of preventive measures, specifically those concerning the use of restraint and helmet and driving behavior. This study should be extended nationally to gain a larger case series so that the SCI risk of particular vehicle configurations,considering other crash factors, can be more precisely quantified and the characteristics for low occurrence of SCI can be more precisely identified.

  18. Human resources for the control of road traffic injury.

    Science.gov (United States)

    Mock, Charles; Kobusingye, Olive; Anh, Le Vu; Afukaar, Francis; Arreola-Risa, Carlos

    2005-04-01

    The definition of the ideal numbers and distribution of human resources required for control of road traffic injury (RTI) is not as advanced as for other health problems. We can nonetheless identify functions that need to be addressed across the spectrum of injury control: surveillance; road safety (including infrastructure, vehicle design, and behaviour); and trauma care. Many low-cost strategies to improve these functions in low- or middle-income countries can be identified. For all these strategies, there is need for adequate institutional capacity, including funding, legal authority, and human resources. Several categories of human resources need to be developed: epidemiologists who can handle injury data, design surveillance systems, and undertake research; engineers and planners versed in safety aspects of road design, traffic flow, urban planning, and vehicle design; police and lawyers who understand the health impact of traffic law; clinicians who can develop cost-effective improvements in the entire system of trauma treatment; media experts to undertake effective behaviour change and social marketing; and economists to assist with cost-effectiveness evaluations. RTI control can be strengthened by enhancing such training in these disciplines, as well as encouraging retention of those who have the needed skills. Mechanisms to enhance collaboration between these different fields need to be promoted. Finally, the burden of RTI is borne disproportionately by the poor; in addition to technical issues, more profound equity issues must be addressed. This mandates that people from all professional backgrounds who work for RTI control should develop skills in advocacy and politics.

  19. 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)

  20. 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.

  1. 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.

  2. System for Road Vehicle Energy Optimization Using Real Time Road and Traffic Information

    Directory of Open Access Journals (Sweden)

    Felipe Jiménez

    2014-06-01

    Full Text Available Nowadays, reducing the energy and fuel consumption of road vehicles is a key issue. Different strategies have been proposed. One of them is to promote Eco-driving behaviour among drivers. Most Eco-driving tips take into account only the road stretch where the vehicle is located. However, larger improvements could be achieved if information from subsequent stretches is used. The main objective of this work is to develop a system to warn the driver in real time of the optimal speed that should be maintained on every road segment in order to optimize the energy used and the fuel consumed while observing a time schedule. The system takes into account the road vertical profile, the fixed and variable speed limits and the traffic information retrieved using V2V and V2I communications. The system has been tested on real road sections with satisfactory results in fuel savings.

  3. Countermeasures for traffic accidents due to road conditions in China

    Institute of Scientific and Technical Information of China (English)

    PEI Yu-long; MA Ji

    2005-01-01

    Regarding the postulate of traffic infrastmcture and vehicles, much attention should be given to the effect of road conditions on accidents. With large numbers of traffic accidents on Shenda Freeway, Liaoning Province, Harbin City and others in P. R. China, parameters and the effect of accidents caused by horizontal alignment, vertical alignment, cross section and intersection are studied systematically The disciplinary analysis of these effects are presented in this paper. The viewpoint is acknowledged that high sub grade and steep slopes are against traffic safety, which is common and ignored in high-usage highways in China. Design parameters of the current design criteria and the corresponding countermeasures are suggested for safety on our highways.

  4. 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.

  5. On the reproducibility of spatiotemporal traffic dynamics with microscopic traffic models

    CERN Document Server

    Knorr, Florian

    2012-01-01

    Traffic flow is a very prominent example of a driven non-equilibrium system. A characteristic phenomenon of traffic dynamics is the spontaneous and abrupt drop of the average velocity on a stretch of road leading to congestion. Such a traffic breakdown corresponds to a boundary-induced phase transition from free flow to congested traffic. In this paper, we study the ability of selected microscopic traffic models to reproduce a traffic breakdown, and we investigate its spatiotemporal dynamics. For our analysis, we use empirical traffic data from stationary loop detectors on a German Autobahn showing a spontaneous breakdown. We then present several methods to assess the results and compare the models with each other. In addition, we will also discuss some important modeling aspects and their impact on the resulting spatiotemporal pattern. The investigation of different downstream boundary conditions, for example, shows that the physical origin of the traffic breakdown may be artificially induced by the setup of...

  6. On the reproducibility of spatiotemporal traffic dynamics with microscopic traffic models

    Science.gov (United States)

    Knorr, Florian; Schreckenberg, Michael

    2012-10-01

    Traffic flow is a very prominent example of a driven non-equilibrium system. A characteristic phenomenon of traffic dynamics is the spontaneous and abrupt drop of the average velocity on a stretch of road leading to congestion. Such a traffic breakdown corresponds to a boundary-induced phase transition from free flow to congested traffic. In this paper, we study the ability of selected microscopic traffic models to reproduce a traffic breakdown, and we investigate its spatiotemporal dynamics. For our analysis, we use empirical traffic data from stationary loop detectors on a German Autobahn showing a spontaneous breakdown. We then present several methods to assess the results and compare the models with each other. In addition, we will also discuss some important modeling aspects and their impact on the resulting spatiotemporal pattern. The investigation of different downstream boundary conditions, for example, shows that the physical origin of the traffic breakdown may be artificially induced by the setup of the boundaries.

  7. Redistribution of traffic related air pollution associated with a new road tunnel.

    Science.gov (United States)

    Cowie, Christine T; Rose, Nectarios; Gillett, Robert; Walter, Scott; Marks, Guy B

    2012-03-06

    The aim of this study was to assess the effect of a new road tunnel on the concentration and distribution of traffic-related air pollution (TRAP), specifically nitrogen dioxide (NO(2)) and particulate matter (PM), and to determine its relationship to change in traffic flow. We used continuously recorded data from four monitoring stations at nonroadside locations within the study area and three regional monitors outside the area. The four monitors in the study area were in background locations where smaller pollutant changes were expected compared with changes near the bypassed main road. We also deployed passive samplers to assess finer spatial variability in NO(2) including application of a land use regression model (LUR). The study was conducted from 2006 to 2008. Analysis of the continuously recorded data showed that the tunnel intervention did not lead to consistent reductions in NO(2) or PM over the wider study area. However, there were significant decreases in NO(2), NO(x), and PM(10) in the eastern section of the study area. Analysis of passive sampler data indicated that the greatest reductions in NO(2) concentrations occurred within 100 m of the bypassed main road. The LUR model also demonstrated that changes in NO(2) were most marked adjacent to the bypassed main road. These findings support the use of methods that highlight fine spatial variability in TRAP and demonstrate the utility of traffic interventions in reducing air pollution exposures for populations living close to main roads.

  8. A comparative study of road traffic accidents in West Malaysia.

    Science.gov (United States)

    Silva, J F

    1978-11-01

    The problem of road traffic accidents in developing countries is now becoming a cause for concern. This is more so as preventive measures have not kept pace with economic progress and development. This paper reviews the present situation in West Malaysia, one of the better developed countries of the East, during the period 1970 to 1975. A comparative study has been made between the United States and Malaysia. To enable the urgency of the problem in developing countries to be appreciated the increases in the country's population and in the number of vehicles in use and their relation to the lesser increase in road mileage over the period of study have been discussed. The study has considered every aspect of the causative factors leading to traffic accidents, such as the effects of weather, seasonal variation, and road and lighting conditions. The common human errors leading to accidents have been discussed. Other factors, such as the ethnic distribution in Malaysia, and their relation to road accidents have shown the effect of the social structure on the problems. The data evaluated in this study make it clear that preventive measures are very necessary in underdeveloped as well as in developed countries.

  9. 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.

  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. 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.

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

    Science.gov (United States)

    Ragettli, Martina S; Goudreau, Sophie; Plante, Céline; Perron, Stéphane; Fournier, Michel; Smargiassi, Audrey

    2015-12-29

    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.

  13. 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.

  14. 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.

  15. Behavioral Responses of Northern Leopard Frogs (Rana pipiens to Roads and Traffic: Implications for Population Persistence

    Directory of Open Access Journals (Sweden)

    Julie Bouchard

    2009-12-01

    Full Text Available A key goal in road ecology is to determine which species are most vulnerable to the negative effects of roads on population persistence. Theory suggests that species that avoid roads are less likely to be negatively affected by roads than those that do not avoid roads. The goal of this study was to take a step toward testing this prediction by evaluating the behavioral response to roads and traffic of a species whose populations are known to be negatively affected by roads and traffic, the northern leopard frog (Rana pipiens. We studied the movement patterns of northern leopard frogs during their spring migration from overwintering sites in a river to various breeding ponds that were disconnected from the river by roads. We performed short-distance translocations of migrating frogs, followed them visually, and documented their movement coordinates following each hop, both near the roads and in non-roaded areas. We found that frogs took longer to move near roads with more traffic and that their movement was quickest in areas without roads nearby. Frogs tended to deviate more from a straight-line course when they were released near roads than compared with control areas, but this response was independent of traffic volume. All frogs released near roads attempted to cross the road. On very low traffic roads (10.86 mean vehicles per hour, 94% of frogs crossed the road successfully, whereas at higher traffic roads (58.29 mean vehicles per hour 72% were successful. Our results suggest that frog's inability to avoid going onto roads and their slow movement combine to make them particularly vulnerable to road mortality, which likely explains the strong negative effects of roads on frog population abundance. Conservation efforts should focus on preventing frogs from accessing the road surface through the use of drift fencing and culverts.

  16. 基于自组织理论的道路交通拥塞自疏散模型研究%Research on Road Traffic Congestion Self-evacuation Model Based on Self-organization Theory

    Institute of Scientific and Technical Information of China (English)

    胡立伟; 祁首铭; 孙亚南; 薛刚; 秦丽辉

    2015-01-01

    为了进一步探讨道路交通拥塞控制方法,以及为缓解这一社会性问题提供理论及模型依据,完善道路交通拥塞控制研究的理论框架,本文以定性与定量相结合的研究方法,在分析道路交通拥塞演变过程(即道路交通拥塞的形成及消散过程,整个过程包括从自由流状态过渡到拥挤状态再到堵塞状态,逐渐消散到拥挤状态,最后达到畅通自由流状态)的基础上,通过对实地调查路段及交叉口交通流参数分析,得到道路交通拥塞演变过程中交通流量及车辆跟驰特性呈泊松分布,进而根据自组织理论中的协同学理论,确定交通拥塞序参量,并基于最短行程时间和Dijkstra算法中的最优路径选择方法,建立道路交通拥塞自疏散模型。通过对模型进行应用分析,验证了模型的有效性。本文研究成果对于缓解道路交通拥塞,提高道路交通系统服务能力和运行效率具有一定的理论意义和实用价值。%In order to further discuss the way of controlling the road traffic congestion, to provide the theoretical basis and model for mitigating the social problem, and to improve the theory frame of the study of controlling the road traffic congestion, the combination of qualitative and quantitative way is used in this paper. On the basis of analyzing the evolution of road traffic congestion (the process of the formation and dissipation of the road traffic congestion, which includes the process of traffic state from the free-flow to the crowd then to the blocked, and then changes in the opposite direction), it comes to a conclusion that the hysteresis of traffic flow and vehicles obeys Poisson distribution. Furthermore, the order parameter of traffic congestion is determined according to the synergetic of self-organization, and the self-evacuation model of road traffic congestion is built on the basis of minimum time and the optimal path choice in

  17. 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.

  18. Road Traffic Control Based on Genetic Algorithm for Reducing Traffic Congestion

    Science.gov (United States)

    Shigehiro, Yuji; Miyakawa, Takuya; Masuda, Tatsuya

    In this paper, we propose a road traffic control method for reducing traffic congestion with genetic algorithm. In the not too distant future, the system which controls the routes of all vehicles in a certain area must be realized. The system should optimize the routes of all vehicles, however the solution space of this problem is enormous. Therefore we apply the genetic algorithm to this problem, by encoding the route of all vehicles to a fixed length chromosome. To improve the search performance, a new genetic operator called “path shortening” is also designed. The effectiveness of the proposed method is shown by the experiment.

  19. The influence of bus stop on traffic flow with velocity-difference-separation model

    Science.gov (United States)

    Zheng, Pengjun; Wang, Wei; Ge, Hongxia

    2016-06-01

    Based on velocity-difference-separation model, the mixed traffic flow on two-lane road is investigated. For a fixed road length, the influence of bus and bus stops on traffic flow is studied with the increasing traffic density. Compared with the result without bus stops given by Li et al., a new traffic state is found, which is valuable for studying the impacts of public transport on urban traffic flow.

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

    Science.gov (United States)

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

    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 (10.7μg/m(3)) are comparable to concentrations on urban roads (9.6μg/m(3)), but levels are significantly higher than concentrations on rural roads (6.1μg/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 (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.

  1. The Effects of Road Traffic Noise on Mental Performance

    Directory of Open Access Journals (Sweden)

    Iraj Alimohammadi

    2013-02-01

    Full Text Available Background:Noise is one of the more widespread pollutions of road transportation system, which can cause deterioration in performance. This experimental study was designed to assess the effect of road traffic noise on performance with regard to extra/introversion and sex of participants. The personality trait of extra/introversion has been remarked as relevant factor to mental performance.Results:Thirty six (26 males and 10 females medical sciences students of Tehran University participated in the study. The students were placed in an unechoing room and performed the Cognitrone test from Vienna Test System in quiet condition and under road traffic noise (71 dBA. The results of this study pointed out that noise increased the percentage of sum of correct answers but had no effect on the speed of performance. Furthermore this study showed that performance was enhanced in extroverts (P=0.001 but no significant difference was found in introverts (P ≤0.05.Conclusions:The regression analysis revealed that extra/introversion was more important than sex to predict the performance parameters.

  2. 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 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 (ρaccident 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 (ρtraffic 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.

  3. 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.

  4. "Dispersion modeling approaches for near road

    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 app...

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

    African Journals Online (AJOL)

    Arun Kumar Agnihotri

    2016-01-13

    Jan 13, 2016 ... Management and Road Safety Unit, and the Ministry of Public. Infrastructure ... the influence of alcohol, riding without restraint, poor vehicle maintenance and ... on patterns of road traffic fatalities and the risk factors3-10 while.

  6. An Evaluation of Traffic Management at ISF Academy on Kong Sin Wan Road

    Science.gov (United States)

    Lu, M.

    2016-12-01

    The ISF Academy, a school with 1500 students, is located on Kong Sin Wan Road. The majority of students from the academy commute to school every morning by private cars, school buses and other public transportation. For the past few years, the school management team has been imposing traffic management regulations to alleviate and minimize traffic congestion in the nearby area. In spite of that, traffic management on Kong Sin Wan Road is fairly limited and inadequate, resulting in congestion at the start and finish of the school day. As a school, we are dedicated to reduce and mitigate the number of private cars and school buses, as well as to control carbon dioxide emissions from the variety of vehicles. In order to implement strategies to make improvements to the current traffic management system, we, as a school, aim to establish a systematic approach to calculate and model the number of private cars, EV cars, plug-in hybrids and school buses flowing near the ISF campus every day, and the number of students on each vehicle. According to the U.S Environmental Protection Agency (EPA), the average annual carbon dioxide emission for a typical passenger vehicle is 4.7 metric tons. By multiplying the average carbon dioxide emission by the number of cars coming to campus every morning, we will gain a better understanding of the amount of carbon dioxide emitted from school vehicles. To extend the research, we will design a survey to investigate and encourage carpooling between families and students who live close, in order to combat and relieve rising traffic congestion and minimize cars crowding the roads. The traffic study project will not only help the school community create a more environment-friendly campus, but also improve the traffic congestion around the school area.

  7. 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

  8. Use of high-scale traffic modeling to estimate road vehicle emissions of CO2 and impact on the atmospheric concentration in São Paulo, Brazil.

    Science.gov (United States)

    Miranda, R. M.; Perez-Martinez, P.; Andrade, M. D. F.

    2015-12-01

    Adequate estimations of motor vehicle CO2 emission inventories at high spatial and temporal urban scales are needed to establish transport policy measures aim to reduce climate change impacts from global cities. The Metropolitan Region of São Paulo (MRSP) is impacted by the emission of 7 million vehicles (97% light-duty gasoline vehicles LDVs and 3% heavy-duty diesel vehicles HDVs) and several environmental programs were implemented to reduce the emissions. Inventories match site measurements and remote sensing and help to assess the real impact of road vehicle emissions on city's air quality. In this paper we presented a high-resolution vehicle-based inventory of motor CO2 emissions mapped at a scale of 100 m and 1 hour. We used origin and destination (O/D) transport area zone trips from the mobility survey of the São Paulo Transport Metropolitan Company (Metro), a road network of the region and traffic datasets from the São Paulo Transport Engineering Company (CET). The inventory was done individually for LDVs and HDVs for the years 2008 and 2013 and was complemented with air quality datasets from the State Environmental Company (CETESB), together with census data from the Brazilian Institute of Geography and Statistics (IBGE). Our inventory showed partial disagreement with the São Paulo State's GHG inventory, caused by the different approach used - bottom vs. top down - and characteristic spatial and temporal biases of the population inputs used (different emission factors). Higher concentrations became apparent near the road-network at the spatial scale used. The total emissions were estimated in 20,781 million tons per year of CO2eq (83.7% by LDVs and 16.3% HDVs). Temporal profiles - diurnal, weekly and monthly - in vehicle emission distributions were calculated using CET's traffic counts and surrogates of congestion. These profiles were compared with average road-site measurements of CO2 for the year 2013. Measurements showed two peaks associated to the

  9. An Improved Cell Transmission model for Simulation of Traffic Flows of Ring Roads%环形快速路交通流的改进元胞传输模型建立与仿真

    Institute of Scientific and Technical Information of China (English)

    史良; 陈阳舟; 张鲁

    2012-01-01

    交通流模型一直是交通系统中最基本的研究内容.适当的交通流模型可用于路网交通流预测和信号控制.以北京环形快速路为背景,采用改进的元胞传输模型(modified cell transmission model,MCTM)进行建模.在MCTM模型中,放宽了原始CTM模型均等划分元胞的限制,并采用密度代替车辆数表示元胞状态,对不同元胞连接方式(简单连接、融合、分离)建立了元胞交通流传输关系.与广泛应用的微观仿真软件Paramics进行了仿真对比分析.结果表明,与原始CTM相比MCTM虽然大大减少了计算复杂性,但仍然可以准确地描述环形快速路交通流动态特性,从而为进一步的交通流预测和匝道控制提供模型基础.%Traffic flow modeling has always been a foundational component of transportation studies. Traffic flow models can be used for forecasting traffic flows and then providing a basis for signal control. In this study, an improved cell transmission model (MCTM) is developed for the ring roads in Beijing. The MCTM removes the restriction of the o-riginal CTM that requires equally partitioning space to develop cells, but it takes density as its state variable, instead of the number of vehicles in the cell. Traffic flow transmission rules between cells are defined for different connection mechanisms between cells, including simple connection, merging and diverging. A comparison is made between the simulated results of the MCTM and those from the microscopic traffic simulation model Paramics. The results show that, although it is less complex than CTM in computation, the MCTM still can describe the dynamic characteristics of traffic flow on the ring road accurately and effectively, and can be used in the future for traffic flow forecasting and ramp metering.

  10. 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.)

  11. Road Traffic Noise Exposure in Gothenburg 1975-2010.

    Directory of Open Access Journals (Sweden)

    Mikael Ögren

    Full Text Available Traffic noise exposure within a city varies over time and space. In this study, we developed a modified noise calculation method and used this method together with population and traffic data to estimate the time trend of noise exposure for the population in Gothenburg, Sweden, from 1975 to 2010. The noise calculation method was based on the standard Nordic method for road traffic noise with modifications using area-level statistics for population and building structures instead of precise geocoding of each inhabitant. Noise emission per vehicle was assumed to be constant over the period. The results show an increase in noise exposure over time. The number of inhabitants exposed at an equivalent level above 55 dB increased from 93000 to 146000 inhabitants between 1975 and 2010, and the percentage of the population exposed at this level increased from 22% to 29% over the same period. Traffic increase (1.4% per year and population increase/concentration (0.50% per year were approximately equally important factors behind this increase in exposure.

  12. 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.

  13. Man, road and vehicle: risk factors associated with the severity of traffic accidents.

    Science.gov (United States)

    Almeida, Rosa Lívia Freitas de; Bezerra Filho, José Gomes; Braga, José Ueleres; Magalhães, Francismeire Brasileiro; Macedo, Marinila Calderaro Munguba; Silva, Kellyanne Abreu

    2013-08-01

    To describe the main characteristics of victims, roads and vehicles involved in traffic accidents and the risk factors involved in accidents resulting in death. METHODS A non-concurrent cohort study of traffic accidents in Fortaleza, CE, Northeastern Brazil, in the period from January 2004 to December 2008. Data from the Fortaleza Traffic Accidents Information System, the Mortality Information System, the Hospital Information System and the State Traffic Department Driving Licenses and Vehicle database. Deterministic and probabilistic relationship techniques were used to integrate the databases. First, descriptive analysis of data relating to people, roads, vehicles and weather was carried out. In the investigation of risk factors for death by traffic accident, generalized linear models were used. The fit of the model was verified by likelihood ratio and ROC analysis. RESULTS There were 118,830 accidents recorded in the period. The most common types of accidents were crashes/collisions (78.1%), running over pedestrians (11.9%), colliding with a fixed obstacle (3.9%), and with motorcycles (18.1%). Deaths occurred in 1.4% of accidents. The factors that were independently associated with death by traffic accident in the final model were bicycles (OR = 21.2, 95%CI 16.1;27.8), running over pedestrians OR = 5.9 (95%CI 3.7;9.2), collision with a fixed obstacle (OR = 5.7, 95%CI 3.1;10.5) and accidents involving motorcyclists (OR = 3.5, 95%CI 2.6;4.6). The main contributing factors were a single person being involved (OR = 6.6, 95%CI 4.1;10.73), presence of unskilled drivers (OR = 4.1, 95%CI 2.9;5.5) a single vehicle (OR = 3.9, 95%CI 2,3;6,4), male (OR = 2.5, 95%CI 1.9;3.3), traffic on roads under federal jurisdiction (OR = 2.4, 95%CI 1.8;3.7), early morning hours (OR = 2.4, 95%CI 1.8;3.0), and Sundays (OR = 1.7, 95%CI 1.3;2.2), adjusted according to the log-binomial model. CONCLUSIONS Activities promoting the prevention of traffic accidents should primarily focus on

  14. The Burden of Road Traffic Injuries in Yazd Province - Iran

    Directory of Open Access Journals (Sweden)

    Mahmood Vakili

    2016-10-01

    Full Text Available Objectives: To estimate the Disabled-adjusted Life Years (DALYs of Road Traffic Accidents in patients referred to hospitals in Yazd Province, central Iran. Methods: This cross-sectional study was conducted in Yazd province during 2010. To calculate the Years of Life Lost (YLL due to premature death and to calculate the incidence of non-fatal injuries and Years Lost due to Disability (YLD, the data were collected from Yazd death registration system and hospital records. The causes of death and nature of non-fatal injuries were classified using International Classification of Diseases (ICD-10. We estimated Disability Adjusted Life Years (DALYs on the guidelines of the Global Burden of Disease Study (discount rate: 0.03, age weight: 0.04, constant age weight correction factor: 0.165. Age and sex composition was taken from the National Statistical Center for the year 2010. Results: During 2009, 483 deaths were caused by traffic accidents in Yazd Province, 382 (79.09% of which were males, and 101 (20.91% were females. The mortality rates for males and females were 70.98 and 20.15 in 100,000, respectively. The years of life lost due to premature deaths were 15.84/1000 in men and 4.75/1,000 in women. Total YLLs caused by traffic accidents were 10,908 years . The injuries caused by traffic accidents were calculated as 15.21 and 3.73/1,000 in males and females, respectively. The total YLDs was calculated 1.51/1,000. The total burden of Road Traffic Injuries in Yazd province was 12478 years (DALYs, 87.41% of which was due to premature death, and 12.59% was related to disability. Also, 78.32% was lost in males. The age specific peak of burden was in 15-29 year. Conclusion: This study showed that traffic accidents in Yazd impose a high burden. It seems that it is one of the health sector priorities. It is recommended to revise laws on use of motorcycles, especially on helmet use for motorcyclists, enforce strict laws in residential areas, and review social

  15. PREDICTION OF THE VALUE OF IRREVERSIBLE DEFORMATION OF ROAD STRUCTURE FROM THE IMPACT OF TRAFFIC

    Directory of Open Access Journals (Sweden)

    F. V. Matvienko

    2011-07-01

    Full Text Available Problem statement. The study of irreversible strains in areas of non-rigid pavement with asphalt coating under the influence of traffic flow requires development of methodologies for assessment of the operational status of asphalt concrete pavement subjected to the formation of ruts. To pre-dict the magnitude of irreversible deformation of the pavement, that is rut, mathematical model, methodology and instruments to measure the parameters of road construction should be developed.Results and conclusions. Measurements of the deflection of road construction and rut parameters, including wear and plastic deformation, proved the adequacy of the proposed mathematical model. Obtained analytical dependences allow prediction of pavement wear, plastic deformation and subgrade deterioration. In contrast to the known ones, they take into account the impact of traffic on the formation of a rut. Proposed methods allow estimation of irreversible pavement deformations based on the values obtained with the help of instruments.

  16. Modeling traffic on crossroads

    Science.gov (United States)

    Wastavino, L. A.; Toledo, B. A.; Rogan, J.; Zarama, R.; Muñoz, V.; Valdivia, J. A.

    2007-07-01

    A simplified traffic model is studied, consisting of two vehicles traveling through a sequence of crossroads regulated by yield signs. A car approaching a yield sign stops if, in the other street, there is a car closer than a certain distance xtol from the intersection. It is shown that the function which maps the state of the vehicles displays a period doubling transition to chaos. An interesting feature of the dynamics is that for extremely cautious drivers ( xtol too large), the map turns chaotic, thus becoming a potential source of emergent jams. Complex behavior such as the one observed in this simple system seems to be an essential ingredient in traffic patterns, and could be of relevance in studying actual crossroads situations.

  17. Acute severe head injury resulted from road traffic accidents:a report on 231 cases

    Institute of Scientific and Technical Information of China (English)

    刘敬业; 张赛; 等

    1999-01-01

    Objective:To analyze the epidemiology and clinical outcome of acute severe head injurey induced by road traffic accidents.Methods:The data of 231 patients with acute severe head injury induced by road traffic accidents were retrospectively studied.Results:The major victim-maker was automobiles (98.8%).The first three common types of traffic accidents were automobiles crashing into automobiles,automobiles crashing into bicycles(42.9%),and automobiles crashing pedestrians(40.3%).Eighty-seven patients out of 231 died,with the mortality of 37.7%.Conclusions:It suggests tat improving traffic administration and traffic safety consciousness may significantly reduce traffic trauma.

  18. Road traffic injuries in the People's Republic of China, 1951-2008.

    Science.gov (United States)

    Zhang, Xujun; Xiang, Huiyun; Jing, Ruiwei; Tu, Zhibin

    2011-12-01

    Road traffic injuries (RTIs) have become the leading cause of injury deaths in China. This article analyzed the trends in all crashes, nonfatal injuries, and fatalities from road traffic crashes from 1951 to 2008 and compared the crash frequency, crash severity, and crash patterns by provinces, types of road, and injured road users. Road traffic crash data were obtained from the Bureau of Traffic Management at the Ministry of Public Security and National Bureau of Statistics of China. Descriptive statistical analyses were conducted. Over the past 5 decades, road traffic injuries have increased substantially in China. From 1951 to 2008, the total number of road traffic crashes, nonfatal injuries, and fatalities increased by 43-fold, 58-fold, and 85-fold, respectively. Linear regression suggested a significant decline of 30.1 percent (95% confidence interval [CI]: 24.8-35.3) in the mortality rate per 100,000 people during the period 2002 to 2008. From 2004 to 2008, road traffic crash mortality rate per 100,000 people varied greatly in China from the lowest of 3.0 in Henan in 2008 to the highest of 21.7 in Xizang in 2004. RTIs in China disproportionally affected the following populations: males, persons 21 to 50 years of age, pedestrians, and motorcyclists/bicyclists. Adults aged more than 65 years accounted for approximately 10 percent of total road traffic deaths. Road types and RTIs severity were closely related; highways were associated with greater mortality rates. Road traffic injuries have become a burgeoning public health problem in China. Programs need to be developed to prevent nonfatal injuries and fatalities caused by road traffic crashes in this emerging country.

  19. Prediction Models of Free-Field Vibrations from Railway Traffic

    DEFF Research Database (Denmark)

    Malmborg, Jens; Persson, Kent; Persson, Peter

    2017-01-01

    and railways close to where people work and live. Annoyance from traffic-induced vibrations and noise is expected to be a growing issue. To predict the level of vibration and noise in buildings caused by railway and road traffic, calculation models are needed. In the present paper, a simplified prediction...

  20. The fundamental diagram : a macroscopic traffic flow model.

    NARCIS (Netherlands)

    Botma, H.

    1976-01-01

    In models of traffic flow, the interactions between vehicles are of prime interest, and are based on characteristics of the drivers, road and vehicles. The fundamental diagram is a representation of a relationship on a macroscopic level in the steady state between the quantity of traffic and a chara

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

    CERN Multimedia

    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...

  2. 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.

  3. 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...

  4. Heavy Metal Contamination of Soil Due to Road Traffic

    Directory of Open Access Journals (Sweden)

    A. Athanasopoulou

    2017-01-01

    Full Text Available Particles coming from the pavement’s maintenance or from the traffic on it enter the soil carried by water. More pollutants transferred by air are dispersed in different distances, also polluting the soil. Precautionary and remedial measures are suggested for urban, peri-urban, and rural zones crossed by roadways, as a function of the plants' species and the level of the road. The proposed measures are based on the soil's chemical composition and draining conditions. Iron and the non-volatile heavy metals, copper, zinc, cadmium, lead, chromium, nickel, are often found in roadside topsoil, as well as in roots and leafage of vegetables and trees. Manganese is found in combination with iron in many minerals and not as free element. The reasons and frequency of existence of metals have to be examined so as to take measures against contamination and possible health hazards. Heavy metal concentrations of soils have been seldom studied in Greece and there is a lack of data sources for the environmental impact of these elements in soil and dust from the pavements and the traffic. The impacts of road construction and service on the surrounding soil masses are studied and analyzed in view of their quality as nutrient materials

  5. 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.

  6. 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.

  7. 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

  8. AN OVERVIEW OF LONGITUDINAL CHARACTERISTICS OF ROAD TRAFFIC FLOW

    Directory of Open Access Journals (Sweden)

    Banihan GÜNAY

    2002-02-01

    Full Text Available As multi-lane roadways have been widely used in many countries for years, analysis of two-dimensional vehicular interactions acquires special importance in highway design and operation. The simultaneous consideration of both lateral and longitudinal movements of traffic flow becomes vital in many aspects of traffic engineering, like modelling. The former component was reviewed elsewhere. In this paper, previous work on longitudinal characteristics of multi-lane traffic flow is scrutinised. Non-existence of such a review in recent literature was the main motive of the work, and it is hoped that it forms a reference report for other traffic analysts. In addition, the paper underlines a number of possible areas for future research.

  9. Autonomous Traffic Signal Control Model with Neural Network Analogy

    CERN Document Server

    Ohira, T

    1997-01-01

    We propose here an autonomous traffic signal control model based on analogy with neural networks. In this model, the length of cycle time period of traffic lights at each signal is autonomously adapted. We find a self-organizing collective behavior of such a model through simulation on a one-dimensional lattice model road: traffic congestion is greatly diffused when traffic signals have such autonomous adaptability with suitably tuned parameters. We also find that effectiveness of the system emerges through interactions between units and shows a threshold transition as a function of proportion of adaptive signals in the model.

  10. Attenuation of Road Traffic Noise by Vegetation in Urban Spaces

    Directory of Open Access Journals (Sweden)

    Jasmina Radosavljević

    2015-09-01

    Full Text Available The last decades of the 20 th century and the beginning of the 21 st century have been characterized by rapid urban growth of cities, which resulted in overcrowding and the lack of land. The aftermath of such circumstances is the construction of many buildings near the main roads and the bus stations, which causes population exposure to significant levels of noise. In the cities aimed at maintaining sustainable urban environment, greenery is a key element that can be used to approach this issue successfully. Green facades, also known as vertical greenery systems, are becoming increasingly popular in urban areas. Vertical green systems on the facade walls, low belts of green vegetation and trees of different heights, widths and lengths contribute to reducing the level of traffic noise. The ability of greenery to attenuate noise is greater with the increasing frequency of traffic. This paper describes the effects of certain types of vegetation on traffic noise reduction, depending on the parameters such as: the type of vegetation, the dimensions of the green belt, the distance from the noise source, frequency range, etc.

  11. Simulating the interaction of road users: A glance to complexity of Venezuelan traffic

    CERN Document Server

    Correa, Juan C; Bazzan, Ana L C; Jaffe, Klaus

    2016-01-01

    Automotive traffic is a classical example of a complex system, being the simplest case the homogeneous traffic where all vehicles are of the same kind, and using different means of transportation increases complexity due to different driving rules and interactions between each vehicle type. In particular, when motorcyclists drive in between the lanes of stopped or slow-moving vehicles. This later driving mode is a Venezuelan pervasive practice of mobilization that clearly jeopardizes road safety. We developed a minimalist agent-based model to analyze the interaction of road users with and without motorcyclists on the way. The presence of motorcyclists dwindles significantly the frequency of lane changes of motorists while increasing their frequency of acceleration-deceleration maneuvers, without significantly affecting their average speed. That is, motorcyclist "corralled" motorists in their lanes limiting their ability to maneuver and increasing their acceleration noise. Comparison of the simulations with re...

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

    DEFF Research Database (Denmark)

    Sørensen, Mette; Andersen, Zorana Jovanovic; 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...

  13. Particle number concentration near road traffic in Amsterdam (the Netherlands): Comparison of standard and real-world emission factors

    Science.gov (United States)

    Keuken, M. P.; Moerman, M.; Voogt, M.; Zandveld, P.; Verhagen, H.; Stelwagen, U.; Jonge de, D.

    2016-05-01

    In this study, NOx and particle number concentration (PNC) at an urban background and a traffic location were measured in the city of Amsterdam (the Netherlands). Modelled and measured contributions to NOx and PNC at the traffic location were used to derive real-world PN emission factors for average urban road traffic. The results for NOx were applied to validate our approach. The real-world PN emission factors (#.km-1) were 2.9E+14 (urban road) and 3E+14 (motorway). These values were at least a factor eight higher than dynamometer-based PN emission factors from COPERT 4 and HBEFA databases. The real-world PN emission factors were used to model the contribution to PNC near road traffic in 2014. This was two to three times higher than the PNC urban background along urban roads over 20,000 vehicles per day and near motorways. The discrepancy between dynamometer-based and real-world emission factors demonstrates the need for more PNC observations to assess actual PN emissions from road traffic.

  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. Model for Predicting Roadside Concentrations of Traffic Pollutants

    Institute of Scientific and Technical Information of China (English)

    YANG Zhongzhen; MIAO Guoqiang; WANG Lu

    2007-01-01

    An analytical model is presented to estimate traffic pollutant concentrations based on an artificial neural network (ANN) approach. The model can analyze the highly nonlinear relationship between the traffic flow attributes, meteorological conditions, road spatial characteristics, and the traffic pollutant concentrations.This study analyzes the multiple factors that affect the pollutant concentration and establishes the model structure using the ANN technique. Collected data for the pollutant concentrations as functions of variant factors was used to train the ANN model. A method was developed to automatically measure the traffic flow attributes, such as traffic flow, vehicle speed, and flow composition from video data. The results indicate that the model can reliably forecast CO2 concentrations along the roads.

  16. Quantifying the impact of energy traffic on local unpaved roads

    Science.gov (United States)

    Stroud, Nathan K.

    Converse, Goshen, Laramie, and Platte counties were selected in accordance with a legislative directive as part of a project to determine the impact of the oil and gas industry on county infrastructure. This thesis takes into account the impact of county gravel roads and strategies used to help develop methods to assess and mitigate this impact. With a lacking road and bridge budget, these counties are only just keeping up with the current impact. In order to receive additional funding from the state legislature, actual impact needs to be assessed. The different distresses and ride quality of all the county gravel roads showed that, on average, the roads were in good condition, no matter the level of impact. However, the cost to keep the impacted roads in this condition came at a much greater price. By modeling the data gathered in this study and comparing the differences between impacted and non-impacted roads, a better understanding of the degradation taking place and the main causes were examined and valuable information was attained. A priority ranking for impacted roads was also assessed to determine the severity of the impact for each county and to supply maintenance recommendations and costs for each road. This was done in hopes that the information from this model will then be used for more efficient maintenance strategies and a more cost effective use of the county's budget so that the counties may continue to keep up with the energy impacts. The process developed in this study could be very useful for other local agencies impacted by energy development.

  17. Controlling traffic jams on a two-lane road using delayed-feedback signals

    Institute of Scientific and Technical Information of China (English)

    Liang ZHENG; Shi-quan ZHONG; Shou-feng MA

    2012-01-01

    This paper focuses mainly on the stability analysis of two-lane traffic flow with lateral friction,which may be caused by irregular driving behavior or poorly visible road markings,and also attempts to reveal the formation mechanism of traffic jams.Firstly,a two-lane optimal velocity (OV) model without control signals is proposed and its stability condition is obtained from the viewpoint of control theory.Then delayed-feedback control signals composed of distance headway information from both lanes are added to each vehicle and a vehicular control system is designed to suppress the traffic jams.Lane change behaviors are also incorporated into the two-lane OV model and the corresponding information about distance headway and feedback signals is revised.Finally,the results of numerical experiments are shown to verify that when the stability condition is not met,the position disturbances and resulting lane change behaviors do indeed deteriorate traffic performance and cause serious traffic jams.However,once the proper delayed-feedback control signals are implemented,the traffic jams can be suppressed efficiently.

  18. Traffic flow modeling: a Genealogy

    NARCIS (Netherlands)

    Van Wageningen-Kessels, F.L.M.; Hoogendoorn, S.P.; Vuik, C.; Van Lint, J.W.C.

    2014-01-01

    80 years ago, Bruce Greenshields presented the first traffic flow model at the Annual Meeting of the Highway Research Board. Since then, many models and simulation tools have been developed. We show a model tree with four families of traffic flow models, all descending from Greenshields' model. The

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

    Directory of Open Access Journals (Sweden)

    Stéphane Perron

    2016-08-01

    Full Text Available 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.

  20. ROAD TRAFFIC NOISE IN DOWNTOWN AREA OF TEHRAN

    Directory of Open Access Journals (Sweden)

    N. Mansouri, M. Pourmahabadian, M. Ghasemkhani

    2006-10-01

    Full Text Available Noise pollution is a major problem for the quality of life in urban areas. The present study was conducted to determine the noise levels of road traffic at central area of Tehran. It focused on one of the busy and crowded square along with its 7 connecting streets, which had a heavy traffic and located in the downtown of the city. Total of 115 measuring points were selected along the roads, pavements and in the shopping areas to adequately represent the different acoustically commercial situations. The measuring points were divided in to 4 site-groups namely; Street, Pavement, Shop and Barrier each with 60, 40, 10, and 5 measuring points respectively. The measurements were carried out during a full week days started on Saturday morning and end on Friday evening. The A-weighted continuous equivalent sound level values, LAeq; LA max; LA min ; and the statistical levels: L1, L10, L50, L90 and L99 as well as the octave band center frequencies sound pressure levels were manually measured at each point separately. The mean values of LAeq for Street, Pavement, Shop and Barrier site groups were 78.5, 73.3, 68.7 and 70.8 dBA respectively and the overall mean of LAeq was 74.7 dBA. The statistical test (p<0.01 showed that the mean values for LAeq in all site groups as well as the overall mean value were higher than 65 dBA, which is the daytime governmentally prescribed noise limit for commercial areas. Comparing the individual measurements has also shown the 86.6% exceeded values from 65 dBA. The highest mean noise level in center frequencies upper than 1000 Hz was 71.5 dBA which was observed in the Street site group and the lowest one was 43.2 dBA in the Shop site group at 8000Hz center frequency. The corresponding values for the center frequencies lower than 1000 Hz were 78.2 and 66.1dBA at 63 and 500 Hz which were also observed in the Street and Shop site groups respectively. It can be concluded that the downtown of the city is environmentally noise

  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

    Directory of Open Access Journals (Sweden)

    Andishe Ranjbari

    2012-01-01

    Full Text Available BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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

  3. 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

  4. Road traffic fatalities in Qatar Jordan and UAE

    OpenAIRE

    Elawad, Elmogiera

    2016-01-01

    ABSTRACT Smeed’s equation is a widely used model for prediction of traffic fatalities but has been found inadequate for use in developing countries. We applied regression analysis to time-series data on vehicles, population and traffic fatalities in the United Arab Emirates (UAE), Jordan and Qatar. The data were fitted to exponential models for fatality prediction, producing an average absolute error of 20.9% for Qatar, 10.9% for Jordan and 5.5% for the UAE. We found a strong linear relations...

  5. 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

  6. Quantitative risk assessment modeling for nonhomogeneous urban road tunnels.

    Science.gov (United States)

    Meng, Qiang; Qu, Xiaobo; Wang, Xinchang; Yuanita, Vivi; Wong, Siew Chee

    2011-03-01

    Urban road tunnels provide an increasingly cost-effective engineering solution, especially in compact cities like Singapore. For some urban road tunnels, tunnel characteristics such as tunnel configurations, geometries, provisions of tunnel electrical and mechanical systems, traffic volumes, etc. may vary from one section to another. These urban road tunnels that have characterized nonuniform parameters are referred to as nonhomogeneous urban road tunnels. In this study, a novel quantitative risk assessment (QRA) model is proposed for nonhomogeneous urban road tunnels because the existing QRA models for road tunnels are inapplicable to assess the risks in these road tunnels. This model uses a tunnel segmentation principle whereby a nonhomogeneous urban road tunnel is divided into various homogenous sections. Individual risk for road tunnel sections as well as the integrated risk indices for the entire road tunnel is defined. The article then proceeds to develop a new QRA model for each of the homogeneous sections. Compared to the existing QRA models for road tunnels, this section-based model incorporates one additional top event-toxic gases due to traffic congestion-and employs the Poisson regression method to estimate the vehicle accident frequencies of tunnel sections. This article further illustrates an aggregated QRA model for nonhomogeneous urban tunnels by integrating the section-based QRA models. Finally, a case study in Singapore is carried out.

  7. 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.

  8. 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 urba

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

    NARCIS (Netherlands)

    Schepers, P. Heinen, E. Methorst, R. & Wegman, F.

    2015-01-01

    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 urba

  10. 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.

  11. 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...... 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....

  12. 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.

  13. 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 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 a

  14. ROAD TRAFFIC SAFETY AUDIT AT LOCAL OBJECT OF MINSK ROADWAY NETWORK

    Directory of Open Access Journals (Sweden)

    D. V. Kapsky

    2015-01-01

    Full Text Available population of the Republic. Quality of the road traffic or its specific characteristics can be quantitatively estimated  in terms of losses and by that we understand social and economic value of non-obligatory expenses in road traffic. That is why any decision on road traffic organization must be estimated and optimized in accordance with its loss minimization criterion (accidental, economic and ecological.Research and Development Centre for Road Traffic at the BNTU Branch - “Research Division” has developed loss methodology in road traffic for  conflict objects – roads crossings and speed cushions. Such approach has made it possible to compare two alternative options for organization of road traffic at conflict objects. The paper considers an example of selection and substantiation of the accepted decision for an uncontrolled  T-junction with closely located pedestrian crossing in the Ya. Kolas Street, Building 12, Minsk. Planning and organizational and technical measures that increase road traffic safety and decrease economic and ecological losses have been developed on the basis of the executed investigations. The investigations and analysis of the existing conditions of the road traffic at the uncontrolled Ya.Kolas Street –Ya.Kolas off-street junction have revealed that the rate of total losses in the road traffic constitutes   nearly 92,000 c.u./year, including accidental losses – 7,900 c.u./year. Realization of the developed measures will permit to reduce the rate of accidental losses at pedestrian crossing approximately by 4,400 c.u./year with reduction of accidents by 50–55 %

  15. 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...

  16. A Population-Based Study on Nighttime Road Traffic Noise and Insomnia.

    Science.gov (United States)

    Evandt, Jorunn; Oftedal, Bente; Hjertager Krog, Norun; Nafstad, Per; Schwarze, Per E; Marit Aasvang, Gunn

    2017-02-01

    The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication use. We used questionnaire data from the population-based study Health and Environment in Oslo (HELMILO) (2009-2010; n = 13019). The insomnia symptoms difficulties falling asleep, awakenings during the night, and waking up too early in the morning as well as self-reported sleep medication use were included as outcomes. Modeled noise levels (Lnight) were assigned to each participant's home address. For selecting covariates to the statistical model, we used a directed acyclic graph. The associations between noise and sleep were analyzed using logistic regression models. After adjustment for potential confounders, we found an odds ratio (OR) of 1.05 (95% confidence interval [CI]: 1.01-1.09) for the association between traffic noise and difficulties falling asleep, in the total study population. For the association between traffic noise and awakenings during the night, the OR was 1.04 (95% CI: 1.00-1.08) and for waking up too early, the OR was 1.06 (95% CI: 1.02-1.11). The effect estimates are given per 5-dB increase in traffic noise level (Lnight). Self-reported sleep medication use was not statistically significantly associated with traffic noise exposure. In an adult population from Oslo, traffic noise was associated with difficulties falling asleep and waking up too early. These findings indicate that sleep quantity may be compromised for individuals living in areas highly exposed to nighttime traffic noise.

  17. Predicting Severity and Duration of Road Traffic Accident

    Directory of Open Access Journals (Sweden)

    Fang Zong

    2013-01-01

    Full Text Available This paper presents a model system to predict severity and duration of traffic accidents by employing Ordered Probit model and Hazard model, respectively. The models are estimated using traffic accident data collected in Jilin province, China, in 2010. With the developed models, three severity indicators, namely, number of fatalities, number of injuries, and property damage, as well as accident duration, are predicted, and the important influences of related variables are identified. The results indicate that the goodness-of-fit of Ordered Probit model is higher than that of SVC model in severity modeling. In addition, accident severity is proven to be an important determinant of duration; that is, more fatalities and injuries in the accident lead to longer duration. Study results can be applied to predictions of accident severity and duration, which are two essential steps in accident management process. By recognizing those key influences, this study also provides suggestive results for government to take effective measures to reduce accident impacts and improve traffic safety.

  18. 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.

  19. [The risk of road traffic accidents among primary school children in Kuala Terengganu].

    Science.gov (United States)

    Fatimah, M; Osman, A; Masyarakat, J K; Perubatan, F

    1997-12-01

    A case control study was conducted in 1996 among primary school student in Terengganu. The objective of the study is to determine the relationship between road traffic accidents and factors such as socio-economic status, distance from school, number of siblings, behavioural problems, knowledge and attitudes of pupil and their parents towards road safety and parents' educational status. A total of 140 cases was obtained from 3 urban schools and 3 from rural schools. Cases were matched with control according to age sex and locality of residence. There were significant associations between road traffic accidents and pupils' knowledge regarding road crossing (OR = 0.40, 95% CI = 0.19-0.85), parental supervision (OR = 0.43, 95% CI = 0.19, 0.64) and parents having driving licences (OR = 0.99, 95% CI = 0.856-0.999). Road safety education for pupils and parental supervision are key measures in preventing road traffic accidents among primary school children.

  20. Can health public expenditure reduce the tragic consequences of road traffic accidents? The EU-27 experience.

    Science.gov (United States)

    Castillo-Manzano, José I; Castro-Nuño, Mercedes; Fageda, Xavier

    2014-07-01

    This study uses data for the EU-27 countries in the period 1999-2009 to estimate determinants of road traffic fatality rates. Controlling for country attributes and road safety policy variables, we examine the influence of variables related with the national health systems; the number of hospital beds per square kilometer, and the percentage of health expenditures over gross domestic product. We find evidence that the density of hospital beds contributes to the fall in traffic-related fatalities. Furthermore, the quality of general medical facilities and technology associated with increases in health expenditure may be also a relevant factor in reducing road traffic fatalities.

  1. 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.

  2. Aircraft and road traffic noise and children's cognition and health: a cross-national study.

    Science.gov (United States)

    Stansfeld, S A; Berglund, B; Clark, C; Lopez-Barrio, I; Fischer, P; Ohrström, E; Haines, M M; Head, J; Hygge, S; van Kamp, I; Berry, B F

    Exposure to environmental stressors can impair children's health and their cognitive development. The effects of air pollution, lead, and chemicals have been studied, but there has been less emphasis on the effects of noise. Our aim, therefore, was to assess the effect of exposure to aircraft and road traffic noise on cognitive performance and health in children. We did a cross-national, cross-sectional study in which we assessed 2844 of 3207 children aged 9-10 years who were attending 89 schools of 77 approached in the Netherlands, 27 in Spain, and 30 in the UK located in local authority areas around three major airports. We selected children by extent of exposure to external aircraft and road traffic noise at school as predicted from noise contour maps, modelling, and on-site measurements, and matched schools within countries for socioeconomic status. We measured cognitive and health outcomes with standardised tests and questionnaires administered in the classroom. We also used a questionnaire to obtain information from parents about socioeconomic status, their education, and ethnic origin. We identified linear exposure-effect associations between exposure to chronic aircraft noise and impairment of reading comprehension (p=0.0097) and recognition memory (p=0.0141), and a non-linear association with annoyance (p<0.0001) maintained after adjustment for mother's education, socioeconomic status, longstanding illness, and extent of classroom insulation against noise. Exposure to road traffic noise was linearly associated with increases in episodic memory (conceptual recall: p=0.0066; information recall: p=0.0489), but also with annoyance (p=0.0047). Neither aircraft noise nor traffic noise affected sustained attention, self-reported health, or overall mental health. Our findings indicate that a chronic environmental stressor-aircraft noise-could impair cognitive development in children, specifically reading comprehension. Schools exposed to high levels of aircraft

  3. Camera location optimisation for traffic surveillance in urban road networks with multiple user classes

    Science.gov (United States)

    Lu, Xiao-Shan; Huang, Hai-Jun; Long, Jiancheng

    2013-12-01

    New sensor technologies (e.g. surveillance cameras, loop detectors) enable the synthesis of disaggregated vehicle information from multiple locations. This article studies the camera location problem for traffic surveillance in urban road networks with multiple user classes. All users are differentiated by their own acceptance degree of camera monitoring and make their route choices in a logit-based stochastic user equilibrium manner. A bi-level programming model is proposed to formulate the problem and solved by the sensitivity analysis based branch and bound method. Numerical examples are presented to illustrate the model application and show the effectiveness of the solution method.

  4. [Hospital information system performance for road traffic accidents analysis in a hospital recruitment based area].

    Science.gov (United States)

    Jannot, A-S; Fauconnier, J

    2013-06-01

    Road traffic accidents in France are mainly analyzed through reports completed by the security forces (police and gendarmerie). But the hospital information systems can also identify road traffic accidents via specific documentary codes of the International Classification of Diseases (ICD-10). The aim of this study was therefore to determine whether hospital stays consecutive to road traffic accident were truly identified by these documentary codes in a facility that collects data routinely and to study the consistency of results from hospital information systems and from security forces during the 2002-2008 period. We retrieved all patients for whom a documentary code for road traffic accident was entered in 2002-2008. We manually checked the concordance of documentary code for road traffic accident and trauma origin in 350 patient files. The number of accidents in the Grenoble area was then inferred by combining with hospitalization regional data and compared to the number of persons injured by traffic accidents declared by the security force. These hospital information systems successfully report road traffic accidents with 96% sensitivity (95%CI: [92%, 100%]) and 97% specificity (95%CI: [95%, 99%]). The decrease in road traffic accidents observed was significantly less than that observed was significantly lower than that observed in the data from the security force (45% for security force data against 27% for hospital data). Overall, this study shows that hospital information systems are a powerful tool for studying road traffic accidents morbidity in hospital and are complementary to security force data. Copyright © 2013 Elsevier Masson SAS. All rights reserved.

  5. 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 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.

  6. 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.

  7. REDUCTION IN PROBABILITY OF TRAFFIC CONGESTION ON HIGH-CLASS ROAD USING RAMP ACCESS CONTROL

    Directory of Open Access Journals (Sweden)

    R. Yu. Lagerev

    2016-01-01

    Full Text Available Мerging traffic junctions on high-class roads are considered as bottlenecks in the network and quality of their operation determines a probability for formation of traffic congestions. Investigations on congestion situations in the merging zones of ramp and freeway traffic flows have demonstrated that queuing ramp traffic flow leads to formation of so called “turbulence” effect due to re-arrangement of transport facilities and reduction in their speed on main road direction. Having high queuing traffic flow on main road the “turbulence” component can result in formation of an impact blow in the main traffic flow. It has been proved that an impact of the ramp traffic flow on congestion probability is higher in comparison with main road traffic flow. The paper makes it possible to establish that some transport facilities moving along a high-way simul taneously occupy two lanes in the merging traffic zones and they reduce capacity of the used road section. It is necessary to take into account this specific feature and it is necessary to pay attention to it in the zones of “turbulence” effect formation. The paper presents main approaches, methodology, principles and stages required for access control of high-class roads which are directed on higher quality of their operation including improvement of road traffic safety. The paper proposes a methodоlogy that allows to evaluate and optimize ramp control in the context of a transport queue length minimization at adjoining ramps for the purposes of probability reduction in transport congestion.

  8. A New Macro Model for Traffic Flow on a Highway with Ramps and Numerical Tests

    Institute of Scientific and Technical Information of China (English)

    TANG Tie-Qiao; HUANG Hai-Jun; S.C.Wong; GAO Zi-You; ZHANG Ying

    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.

  9. Sleep disturbances caused by vibrations from heavy road traffic.

    Science.gov (United States)

    Arnberg, P W; Bennerhult, O; Eberhardt, J L

    1990-09-01

    The influence of whole-body vibrations, noise, and a combination of the two, caused by heavy road traffic (150 events/night) on sleep, subjectively experienced sleep quality, and performance was investigated under controlled laboratory conditions for male and female subjects 20-35 years of age. A room was built above a vibrator table, with the legs of the bed mounted directly on the table through holes in the floor. Vertical vibrations were found to be attenuated by the mattress with 20-40 dB for frequencies greater than 10 Hz, whereas horizontal vibrations were slightly amplified. It could be concluded that when traffic noise [50-dB (A) peak level] is accompanied by vibrations with peak levels of 0.24 m/s2 vertically and 0.17 m/s2 horizontally as measured on the frame of the bed (stimulus duration approximately 2 s, dominant frequency approximately 12 Hz), sleep is more disturbed than is the case when noise alone occurs. The amount of REM sleep, which was significantly reduced for the vibration level mentioned above, was even more disturbed when a higher exposure level, 0.34 m/s2 vertically and 0.24 m/s2 horizontally, was applied. The subjectively rated sleep quality was lower for the higher than for the lower vibration level. Performance in the morning was only influenced for the higher vibration level. It could be concluded that vibration exposure levels near the recommendation made in ISO-standard 2631 for the awake state disturb sleep in man.

  10. Method and application of grade division for road traffic congestion based on driver’s feeling

    Directory of Open Access Journals (Sweden)

    Weiwei Qi

    2015-11-01

    Full Text Available Although road traffic congestion is an objective state of traffic flow, drivers have different feelings about road traffic congestion. First of all, in order to reveal the law that driver’s mental state changes along with congested degree of road traffic, the targeted questionnaire was designed to analyze the driver’s psychological feeling under different state of traffic flow. Then, from the perspectives of the driver’s subjective feeling, the new definition of road traffic congestion was put forward, so the pressure coefficient of traffic congestion, which is written as χ press t 0 − t n , is defined to measure traffic congestion pressure. Furthermore, by adopting statistical methods to associate the driver’s subjective feeling toward traffic congestion with objective parameters of traffic flow, the grading thresholds of the unblocked state, mild congested state, moderate congested state, and severe congested state were calculated, which are χ press t 0 − t n = 0 . 37 , χ press t 0 − t n = 0 . 51 , and χ press t 0 − t n = 0 . 65 , respectively. And in the field of application for the grading thresholds, Fourier Transform theory was introduced to calculate domain frequency indexes of the driver’s heart rate variability in the four states of traffic flow, respectively. The results show that the domain frequency indexes of the driver’s heart rate variability present obvious differences in the four states, which illustrates the solving rationality and applied value of the new grading thresholds for traffic congestion based on driver’s feeling. On one hand, the new grading method for traffic congestion, which combines the subjectivity with objectivity, can reflect the driver’s actual feeling; on the other hand, it lays the foundation for the study about the influence of traffic congestion on the driver’s physiological and psychological characteristics.

  11. The analysis of epidemiological characteristics of road traffic crashes in a mountain city in western China

    Institute of Scientific and Technical Information of China (English)

    周继红; 赵新才; 王正国; 朱佩芳; 简华刚; 刘大维; 周金玲; 刘蕾

    2003-01-01

    Objective: To study the epidemiological characteristics and preventive methods of road traffic crashes in a mountain city in western China through sampling investigation of traffic crashes in different regions of Chongqing city in recent years. Methods: Two police teams of traffic management in downtown, two teams in suburb, one team in county and one freeway team were randomly selected, and road traffic crashes between 1988 and 1997 were investigated and analyzed. Results: A total of 13121 road traffic crashes with 6201 crashes with casualties were analyzed. The incidence of crashes was higher in May, June and July, and on Friday and Wednesday and at 8:00-12:00 and 14:00-18:00 within a day. Casualties were 44.0% in pedestrians and 42.5% in passengers of total casualties. The deaths and severe injuries in pedestrians were59.1% of total deaths and 56.4% of total severe injuries. The age of drivers and passengers were mainly at 18-30 years, followed by 31-40 years. People over 60 years old accounted for 24.1% of total pedestrian casualty. Head injury was the most common reason for deaths. The main reasons for these crashes were improper driving and violating traffic laws. Violating traffic laws by pedestrian was one of the main reasons for pedestrian casualty. Conclusions: The crashes are related to the characteristics of geography, climate, society activity of people, and the sense of traffic safety, the basic traffic construction and management in Chongqing. The traffic casualty of pedestrian is a big problem in Chongqing. To prevent and decrease road traffic injuries effective methods should be worked out and propaganda on traffic safety and traffic management should be strengthened according to different characteristics of different regions. To strengthen the first aid and treatment of cranium-brain injury and chest-back injury is also helpful in decreasing traffic deaths.

  12. Road Traffic Accident Analysis of Ajmer City Using Remote Sensing and GIS Technology

    Science.gov (United States)

    Bhalla, P.; Tripathi, S.; Palria, S.

    2014-12-01

    With advancement in technology, new and sophisticated models of vehicle are available and their numbers are increasing day by day. A traffic accident has multi-facet characteristics associated with it. In India 93% of crashes occur due to Human induced factor (wholly or partly). For proper traffic accident analysis use of GIS technology has become an inevitable tool. The traditional accident database is a summary spreadsheet format using codes and mileposts to denote location, type and severity of accidents. Geo-referenced accident database is location-referenced. It incorporates a GIS graphical interface with the accident information to allow for query searches on various accident attributes. Ajmer city, headquarter of Ajmer district, Rajasthan has been selected as the study area. According to Police records, 1531 accidents occur during 2009-2013. Maximum accident occurs in 2009 and the maximum death in 2013. Cars, jeeps, auto, pickup and tempo are mostly responsible for accidents and that the occurrence of accidents is mostly concentrated between 4PM to 10PM. GIS has proved to be a good tool for analyzing multifaceted nature of accidents. While road safety is a critical issue, yet it is handled in an adhoc manner. This Study is a demonstration of application of GIS for developing an efficient database on road accidents taking Ajmer City as a study. If such type of database is developed for other cities, a proper analysis of accidents can be undertaken and suitable management strategies for traffic regulation can be successfully proposed.

  13. Explorative spatial analysis of traffic accident statistics and road mortality among the provinces of Turkey.

    Science.gov (United States)

    Erdogan, Saffet

    2009-10-01

    The aim of the study is to describe the inter-province differences in traffic accidents and mortality on roads of Turkey. Two different risk indicators were used to evaluate the road safety performance of the provinces in Turkey. These indicators are the ratios between the number of persons killed in road traffic accidents (1) and the number of accidents (2) (nominators) and their exposure to traffic risk (denominator). Population and the number of registered motor vehicles in the provinces were used as denominators individually. Spatial analyses were performed to the mean annual rate of deaths and to the number of fatal accidents that were calculated for the period of 2001-2006. Empirical Bayes smoothing was used to remove background noise from the raw death and accident rates because of the sparsely populated provinces and small number of accident and death rates of provinces. Global and local spatial autocorrelation analyses were performed to show whether the provinces with high rates of deaths-accidents show clustering or are located closer by chance. The spatial distribution of provinces with high rates of deaths and accidents was nonrandom and detected as clustered with significance of Paccidents and deaths were located in the provinces that contain the roads connecting the Istanbul, Ankara, and Antalya provinces. Accident and death rates were also modeled with some independent variables such as number of motor vehicles, length of roads, and so forth using geographically weighted regression analysis with forward step-wise elimination. The level of statistical significance was taken as Paccidents according to denominators in the provinces. The geographically weighted regression analyses did significantly better predictions for both accident rates and death rates than did ordinary least regressions, as indicated by adjusted R(2) values. Geographically weighted regression provided values of 0.89-0.99 adjusted R(2) for death and accident rates, compared with 0

  14. Alternatives of Strategic Environmental Assessment for Road Traffic Development Planning-Case of Changchun City, China

    Institute of Scientific and Technical Information of China (English)

    CHEN Chong; XU Ye; SHANG Jincheng; Gordon HUANG

    2009-01-01

    On analyzing the achievement of the goal in the modern urban road traffic development planning, the alternative of Strategic Environmental Assessment for urban traffic planning should include the basic scheme, the extended scheme and the environmental protection scheme. This study from different perspectives designed the alternatives for Changchun's county-level road and urban road system planning, and used the method of System Dynamics to simulate, optimize and analyze those alternatives. Thereafter, some methods including the correlation function method were used to comprehensively assess and rank those alternatives for recommending two best alternatives with the consideration to the indicators, such as the total emission amount of CO, the total emission amount of nitrogen oxides, the noise value, the road construction cost, the fossil oil consumption and the traffic capacity. The result showed that the study would provide substantial supports for decision-makers to make more scientific decisions and promote the sustainable urban traffic in Changchun City.

  15. 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.

  16. Visual Function as a Risk Factor for Road Traffic Accidents among ...

    African Journals Online (AJOL)

    Information obtained included demographic data, operational route, history of involvement in road traffic accident ... Frequency tables were then generated. ... Periodic ocular examination will contribute significantly to the reduction of RTAs.

  17. 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.

  18. Stochasticity of Road Traffic Dynamics: Comprehensive Linear and Nonlinear Time Series Analysis on High Resolution Freeway Traffic Records

    CERN Document Server

    Siegel, H; Siegel, Helge; Belomestnyi, Dennis

    2006-01-01

    The dynamical properties of road traffic time series from North-Rhine Westphalian motorways are investigated. The article shows that road traffic dynamics is well described as a persistent stochastic process with two fixed points representing the freeflow (non-congested) and the congested state regime. These traffic states have different statistical properties, with respect to waiting time distribution, velocity distribution and autocorrelation. Logdifferences of velocity records reveal non-normal, obviously leptocurtic distribution. Further, linear and nonlinear phase-plane based analysis methods yield no evidence for any determinism or deterministic chaos to be involved in traffic dynamics on shorter than diurnal time scales. Several Hurst-exponent estimators indicate long-range dependence for the free flow state. Finally, our results are not in accordance to the typical heuristic fingerprints of self-organized criticality. We suggest the more simplistic assumption of a non-critical phase transition between...

  19. Effects of Traffic Lights on CA Traffic Model

    Institute of Scientific and Technical Information of China (English)

    SuweiFENG; GuoqingGU

    1997-01-01

    Cellular automaton traffic models can include various factors in traffic system with simple regulations and the corresponding computations and simulations are rather convenient and effective.In this paper,the Biham-Middleton-Levine model(briefly saying the BML model)is improved by removing its limitation of synchronized change of traffic lights.In new model,the traffic light at each crossing could arbitrarily change its starting time and tempo of variation and hence the model could more realistically describe the influence of traffic lights on the performance of traffic systems.The cases of traffic light with unsynchronized starting time and different tempo of variation are simulated in this paper.

  20. Dioxin emission of road traffic; Dioxin-Emission des Strassenverkehrs

    Energy Technology Data Exchange (ETDEWEB)

    Buehler, U. [Antriebstechnik Ferretti GmbH (Germany); Essers, U. [Stuttgart Univ. (Germany). Inst. fuer Verbrennungsmotoren und Kraftfahrwesen]|[Forschungsinstut fuer Kraftfahrwesen und Fahrzeugmotoren, Stuttgart (Germany).; Greiner, R. [Stuttgart Univ. (Germany). Inst. fuer Verbrennungsmotoren und Kraftfahrwesen

    1997-07-01

    The well-founded determination of the dioxin and furan emission (PXDD/PXDF) of road traffic was the aim of a research project jointly conducted by the Chair of Ecological Chemistry and Geochemistry at the University of Bayreuth (Prof. Hutzinger), the Institute for Organic Chemistry at the University of Tuebingen (Prof. Hagenmaier) and the IVK (Prof. Essers). The non-standardised examinations of an otto engine, a passenger car and a truck diesel engine required the development of sample-taking and analysis methods as well as of engine test technology. The otto engine driven with leaded gasoline containing scavengers showed the highest dioxin and furan emission while, on the other hand, the otto engine driven with unleaded gasoline, the diesel engines and in particular the otto engine with three-way catalytic converter showed much lower values. (orig.) [Deutsch] Die fundierte Ermittlung der Dioxin- und Furan-Emissionen (PXDD/PXDF) des Strassenverkehrs war das Ziel eines vom Lehrstuhl fuer Oekologische Chemie und Geochemie der Universitaet Bayreuth, dem Institut fuer Organische Chemie der Universitaet Tuebingen und dem IVK der Universitaet Stuttgart gemeinsam bearbeiteten Forschungsprojekts. Die nicht standardisierten Untersuchungen an einem Ottomotor, einem Pkw- und einem Lkw-Dieselmotor erforderten die Entwicklung von Probenahme- und Analyseverfahren sowie der motorischen Prueftechnik. Der mit verbleitem, scavengerhaltigem Benzin betriebene Ottomotor wies die hoechsten Dioxin- und Furanemissionen auf. Demgegenueber waren die Emissionen des mit unverbleitem Benzin betriebenen Ottomotors, der Dieselmotoren und besonders des Ottomotors mit Drei-Wege-Katalysator deutlich geringer. (orig.)

  1. 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 u

  2. 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

  3. Analysis of harmful emissions generated by road traffic in the city of Zagreb and proposals of measures

    Directory of Open Access Journals (Sweden)

    Jasna GOLUBIĆ

    2013-01-01

    Full Text Available The total number of registered road motor vehicles in Croatia in 2008 was 2,021,936 out of which 20.5% were registered in the city of Zagreb. Due to improper engine operating conditions, relatively low speeds (below 80km/h, large number of vehicles, high percentage of defective vehicles, poor fuel quality, the highest effect on air pollution in the city of Zagreb is generated by road motor vehicles. If air pollution in the city is analyzed from 2001 to 2009, it may be concluded that the biggest problem lies in the pollution by nitrogen oxides, airborne particles and ground-level ozone, which means that taking these pollution parameters in consideration the air was of Category II, i.e. moderately polluted. The most endangered city areas are the industrial zones and traffic nodes. Numerous European cities have been undertaking activities in order to reduce air pollution, which include also the introduction of new standards for new vehicles, improvement of fuel quality, fuel and vehicle taxing, usage of alternative fuels, etc. The city of Zagreb is no exception and since the current traffic system has not been solved in an optimal manner and since there is a lot of room for improvements in technical, technological and ecological sense, this paper will analyze the impact of road traffic on air pollution and offer proposals of measures to establish a sustainable traffic system of the City of Zagreb. Some of the proposals for reducing the harmful emissions from road traffic in the city of Zagreb include: reconstruction of the road network (emphasis on intersections, introduction of the traffic-dependent control of light signalized intersections, usage of intelligent transport systems for guiding and better organization of traffic, “Park-and-ride” system, etc. The traffic system of the city of Zagreb can be optimized without the construction of new roads by introducing intelligent traffic control with possible organizational changes and

  4. 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...

  5. Sleep habits and road traffic accident risk for Iranian occupational drivers.

    Science.gov (United States)

    Ebrahimi, Mohammad Hossein; Sadeghi, Masoumeh; Dehghani, Mohsen; Niiat, Khosro Sadegh

    2015-01-01

    The aim of this study is to assess the sleep quality and sleep disorders (prevalence of obstructive sleep apnea and sleepiness) among occupational drivers in Iran and to determine which demographic factors and occupational habits are linked to road traffic accidents. In this analytic cross-sectional study 556 occupational road drivers from Shahroud city (in the northeast of Iran) participated, upon a prior verbal informed consent, during 2013-2014. The Pittsburgh Sleep Quality Index (PSQI) standard questionnaire that scored on 7 point scale, the 8-item Epworth Sleepiness Scale (ESS) questionnaire and the 8-question STOP-Bang questionnaire along with demographic information and occupational data were used. To explore the independent factors associated with odds of poor sleep quality and road accident, multiple logistic regression models were used. Prevalence of previous road accidents, sleepiness while driving, and obstructive sleep apnea scored ≥ 3 in the study, and drivers accounted for 23.8%, 29%, and 24.8%, respectively. The global mean score of sleep quality and excessive sleepiness score were 5.2 and 4.8, respectively. The main factors related to the odds of poor sleep quality were snoring (odds ratio (OR) = 2.34; 95% confidence interval (CI): 1.15-4.77), smoking (OR = 2.12; 95% CI: 1.15-3.97), and driving times in a day (OR = 1.12; 95% CI: 1.03-1.21). The Epworth Sleepiness Scale (OR = 1.13; 95% CI: 1.07-1.23) and suffering from apnea (OR = 4.89; 95% CI: 1.07-23.83) were the best predictors for odds (increased risk) of road accidents. A considerable proportion of Iranian drivers had records of road accidents; poor sleep quality, sleepiness while driving, and sleep disorder breathing (obstructive sleep apnea - OSA). Snoring, smoking, driving time in a day, excessive sleepiness, and presumably apnea increase the odds of poor sleep quality and road traffic accident for Iranian occupational drivers. This work is available in Open Access model and licensed under

  6. 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.

  7. 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 en

  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. 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.

  10. 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...

  11. 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...

  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. The use of yellow longitudinal markings on roads with two-directional traffic. Contribution to OECD Research Group TS 304 "Improving road safety at night".

    NARCIS (Netherlands)

    Schreuder, D.A.

    1978-01-01

    The question is posed whether the application of a colour difference for the central line on the road is the best solution available for the coding of the categories of road. It has been proposed to apply yellow centre lines on roads with two-way traffic and white centre lines on roads with one-wa

  14. 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.

  15. Long-term exposure to road traffic noise and myocardial infarction.

    Science.gov (United States)

    Selander, Jenny; Nilsson, Mats E; Bluhm, Gösta; Rosenlund, Mats; Lindqvist, Magnus; Nise, Gun; Pershagen, Göran

    2009-03-01

    An association has been reported between long-term exposure to road traffic noise and the risk of myocardial infarction (MI), but the evidence is limited and inconclusive. No previous study has simultaneously analyzed the role of exposure to noise and air pollution from road traffic in the risk of MI. A population-based case-control study on MI was conducted 1992-1994 in Stockholm County. Participants answered a questionnaire and underwent a physical examination. Residential exposure to noise and air pollution from road traffic between 1970 and 1992-1994 was assessed for 3666 participants (1571 cases of MI and 2095 controls), based on residential history combined with information on traffic intensity and distance to nearby roads. Information was also obtained on factors potentially affecting the relationship between noise exposure and MI, such as noise annoyance. The correlation between long-term individual exposure to noise and air pollution from traffic was high (r = 0.6). The adjusted odds ratio for MI associated with long-term road traffic noise exposure of 50 dBA or higher was 1.12 (95% confidence interval = 0.95-1.33). In a subsample, defined by excluding persons with hearing loss or exposure to noise from other sources, the corresponding odds ratio was 1.38 (1.11-1.71), with a positive exposure-response trend. No strong effect modification was apparent by sex or cardiovascular risk factors, including air pollution from road traffic. The results lend some support to the hypothesis that long-term exposure to road traffic noise increases the risk for MI.

  16. Mortality and potential years of life lost by road traffic injuries in Brazil, 2013

    Science.gov (United States)

    Andrade, Silvânia Suely Caribé de Araújo; de Mello-Jorge, Maria Helena Prado

    2016-01-01

    ABSTRACT OBJECTIVE To estimate the potential years of life lost by road traffic injuries three years after the beginning of the Decade of Action for Traffic Safety. METHODS We analyzed the data of the Sistema de Informações sobre Mortalidade (SIM – Mortality Information System) related to road traffic injuries, in 2013. We estimated the crude and standardized mortality rates for Brazil and geographic regions. We calculated, for the Country, the proportional mortality according to age groups, education level, race/skin color, and type or quality of the victim while user of the public highway. We estimated the potential years of life lost according to sex. RESULTS The mortality rate in 2013 was of 21.0 deaths per 100,000 inhabitants for the Country. The Midwest region presented the highest rate (29.9 deaths per 100,000 inhabitants). Most of the deaths by road traffic injuries took place with males (34.9 deaths per 100,000 males). More than half of the people who have died because of road traffic injuries were of black race/skin color, young adults (24.2%), individuals with low schooling (24.0%), and motorcyclists (28.5%). The mortality rate in the triennium 2011-2013 decreased 4.1%, but increased among motorcyclists. Across the Country, more than a million of potential years of life were lost, in 2013, because of road traffic injuries, especially in the age group of 20 to 29 years. CONCLUSIONS The impact of the high mortality rate is of over a million of potential years of life lost by road traffic injuries, especially among adults in productive age (early mortality), in only one year, representing extreme social cost arising from a cause of death that could be prevented. Despite the reduction of mortality by road traffic injuries from 2011 to 2013, the mortality rates increased among motorcyclists. PMID:27706375

  17. Mortality and potential years of life lost by road traffic injuries in Brazil, 2013

    Directory of Open Access Journals (Sweden)

    Silvânia Suely Caribé de Araújo Andrade

    Full Text Available ABSTRACT OBJECTIVE To estimate the potential years of life lost by road traffic injuries three years after the beginning of the Decade of Action for Traffic Safety. METHODS We analyzed the data of the Sistema de Informações sobre Mortalidade (SIM – Mortality Information System related to road traffic injuries, in 2013. We estimated the crude and standardized mortality rates for Brazil and geographic regions. We calculated, for the Country, the proportional mortality according to age groups, education level, race/skin color, and type or quality of the victim while user of the public highway. We estimated the potential years of life lost according to sex. RESULTS The mortality rate in 2013 was of 21.0 deaths per 100,000 inhabitants for the Country. The Midwest region presented the highest rate (29.9 deaths per 100,000 inhabitants. Most of the deaths by road traffic injuries took place with males (34.9 deaths per 100,000 males. More than half of the people who have died because of road traffic injuries were of black race/skin color, young adults (24.2%, individuals with low schooling (24.0%, and motorcyclists (28.5%. The mortality rate in the triennium 2011-2013 decreased 4.1%, but increased among motorcyclists. Across the Country, more than a million of potential years of life were lost, in 2013, because of road traffic injuries, especially in the age group of 20 to 29 years. CONCLUSIONS The impact of the high mortality rate is of over a million of potential years of life lost by road traffic injuries, especially among adults in productive age (early mortality, in only one year, representing extreme social cost arising from a cause of death that could be prevented. Despite the reduction of mortality by road traffic injuries from 2011 to 2013, the mortality rates increased among motorcyclists.

  18. Risk assessment on an Argentinean road with a dynamic traffic simulator

    Science.gov (United States)

    Voumard, Jérémie; Baumann, Valérie; Jaboyedoff, Michel; Derron, Marc-Henri; Penna, Ivanna

    2014-05-01

    The National Route 7 in Argentina is one of the most important corridors crossing the Andean Cordillera. It concentrates most of the traffic related to the Southern Common Market (MERCOSUR), it also connects Mendoza city (the fourth most populated in Argentina) with Santiago de Chile (the Chile capital city), and is used by tourists to access to the Aconcagua National park, Puente del Inca natural monument, skiing resorts, and to local displacements for the villages along the Mendoza valley. The road crosses the Andes through the Mendoza river valley at an elevation between 2'000 and 3'000 m. The traffic (2500 vehicles/day) is composed of motorcycles, cars and pickup trucks, trucks without trailer, buses, and semi-trailer trucks. Debris flows developed along tributaries of the Mendoza River, and due to remobilization of talus materials, impact frequently the road, causing traffic disruptions, bridges damages, etc. Rock falls detached from highly fractured outcrops also impact frequently the road, causing sometimes casualties. The aim of this study is to evaluate risk along sections of the National Road 7 develop along the Mendoza river, using a dynamic traffic simulator based on MATLAB© routine. The dynamic traffic simulator developed for natural hazards events on roads consider different scenarios based on traffic speeds, vehicle types, interactions types, road properties and natural processes. Here we show that vehicle types and traffic variations may influence the risk estimation. The analyzed risk on several critical sections of the National Route 7 demonstrates that risk may significantly increase: 1) on sinuous sections, steep sections and because of road conditions changes (exit of tunnel, bridges, road width, etc.) because of decreasing vehicle speed, particularly with semi-trailer trucks; 2) when an event, such a debris flow, occurs and generates a vehicle tailback increasing their duration presence in the risk area.

  19. Traffic Games: Modeling Freeway Traffic with Game Theory

    Science.gov (United States)

    Cortés-Berrueco, Luis E.; Gershenson, Carlos; Stephens, Christopher R.

    2016-01-01

    We apply game theory to a vehicular traffic model to study the effect of driver strategies on traffic flow. The resulting model inherits the realistic dynamics achieved by a two-lane traffic model and aims to incorporate phenomena caused by driver-driver interactions. To achieve this goal, a game-theoretic description of driver interaction was developed. This game-theoretic formalization allows one to model different lane-changing behaviors and to keep track of mobility performance. We simulate the evolution of cooperation, traffic flow, and mobility performance for different modeled behaviors. The analysis of these results indicates a mobility optimization process achieved by drivers’ interactions. PMID:27855176

  20. 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.

  1. Sleep habits and road traffic accident risk for Iranian occupational drivers

    Directory of Open Access Journals (Sweden)

    Mohammad Hossein Ebrahimi

    2015-04-01

    Full Text Available Objectives: The aim of this study is to assess the sleep quality and sleep disorders (prevalence of obstructive sleep apnea and sleepiness among occupational drivers in Iran and to determine which demographic factors and occupational habits are linked to road traffic accidents. Material and Methods: In this analytic cross-sectional study 556 occupational road drivers from Shahroud city (in the northeast of Iran participated, upon a prior verbal informed consent, during 2013–2014. The Pittsburgh Sleep Quality Index (PSQI standard questionnaire that scored on 7 point scale, the 8-item Epworth Sleepiness Scale (ESS questionnaire and the 8-question STOP-Bang questionnaire along with demographic information and occupational data were used. To explore the independent factors associated with odds of poor sleep quality and road accident, multiple logistic regression models were used. Results: Prevalence of previous road accidents, sleepiness while driving, and obstructive sleep apnea scored ≥ 3 in the study, and drivers accounted for 23.8%, 29%, and 24.8%, respectively. The global mean score of sleep quality and excessive sleepiness score were 5.2 and 4.8, respectively. The main factors related to the odds of poor sleep quality were snoring (odds ratio (OR = 2.34; 95% confidence interval (CI: 1.15–4.77, smoking (OR = 2.12; 95% CI: 1.15–3.97, and driving times in a day (OR = 1.12; 95% CI: 1.03–1.21. The Epworth Sleepiness Scale (OR = 1.13; 95% CI: 1.07–1.23 and suffering from apnea (OR = 4.89; 95% CI: 1.07–23.83 were the best predictors for odds (increased risk of road accidents. Conclusions: A considerable proportion of Iranian drivers had records of road accidents; poor sleep quality, sleepiness while driving, and sleep disorder breathing (obstructive sleep apnea – OSA. Snoring, smoking, driving time in a day, excessive sleepiness, and presumably apnea increase the odds of poor sleep quality and road traffic accident for Iranian

  2. Setting road safety targets in Cambodia : a methodological demonstration using the latent risk time series model.

    NARCIS (Netherlands)

    Commandeur, J.J.F. Wesemann, P. Bijleveld, F.D. Chhoun, V. & Sann, S.

    2017-01-01

    The authors present the methodology used for estimating forecasts for the number of road traffic fatalities in 2011—2020 in Cambodia based on observed developments in Cambodian road traffic fatalities and motor vehicle ownership in the years 1995—2009. Using the latent risk time series model

  3. 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

  4. Traffic disruption in PAM DIRAC road (Prévessin Site)

    CERN Multimedia

    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

  5. 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.

  6. Study on Macro-traffic Model

    Institute of Scientific and Technical Information of China (English)

    FangGe; GuowuZhang; BaojunYuan; KepingLi

    2004-01-01

    Macro-traffic model is an effective tool for supporting traffic programmer to This article is based on the software products VISEM (demand model) and VISUM (supply model) from PTV Company of Germany, and studies macro-traffic model on the basis of considering that traffic system is an interactive system of between a supply system and a demand system.

  7. Decision Tree Model for Non-Fatal Road Accident Injury

    Directory of Open Access Journals (Sweden)

    Fatin Ellisya Sapri

    2017-02-01

    Full Text Available Non-fatal road accident injury has become a great concern as it is associated with injury and sometimes leads to the disability of the victims. Hence, this study aims to develop a model that explains the factors that contribute to non-fatal road accident injury severity. A sample data of 350 non-fatal road accident cases of the year 2016 were obtained from Kota Bharu District Police Headquarters, Kelantan. The explanatory variables include road geometry, collision type, accident time, accident causes, vehicle type, age, airbag, and gender. The predictive data mining techniques of decision tree model and multinomial logistic regression were used to model non-fatal road accident injury severity. Based on accuracy rate, decision tree with CART algorithm was found to be more accurate as compared to the logistic regression model. The factors that significantly contribute to non-fatal traffic crashes injury severity are accident cause, road geometry, vehicle type, age and collision type.

  8. Benzodiazepine-Like Hypnotics and the Associated Risk of Road Traffic Accidents

    OpenAIRE

    2011-01-01

    The aim of the study was to investigate the association between the use of benzodiazepine or benzodiazepine-like hypnotics and the risk of road traffic accidents. Data from three French national databases were matched: the health-care insurance database, police reports, and the police database of injury-related traffic accidents. A total of 72,685 drivers involved in injury-related road traffic accidents in France, from 2005 to 2008, were included in the study. The risk of being responsible f...

  9. 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.

  10. 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.

  11. 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. 

  12. 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

    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. 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. 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. Taking serious measures to properly execute the policy, educating people, selecting an efficient organization that is responsible for the implementation of the policies, and

  13. Modelling the system behaviour of wet snow avalanches using an expert system approach for risk management on high alpine traffic roads

    Directory of Open Access Journals (Sweden)

    A. Zischg

    2005-01-01

    Full Text Available The presented approach describes a model for a rule-based expert system calculating the temporal variability of the release of wet snow avalanches, using the assumption of avalanche triggering without the loading of new snow. The knowledge base of the model is created by using investigations on the system behaviour of wet snow avalanches in the Italian Ortles Alps, and is represented by a fuzzy logic rule-base. Input parameters of the expert system are numerical and linguistic variables, measurable meteorological and topographical factors and observable characteristics of the snow cover. Output of the inference method is the quantified release disposition for wet snow avalanches. Combining topographical parameters and the spatial interpolation of the calculated release disposition a hazard index map is dynamically generated. Furthermore, the spatial and temporal variability of damage potential on roads exposed to wet snow avalanches can be quantified, expressed by the number of persons at risk. The application of the rule base to the available data in the study area generated plausible results. The study demonstrates the potential for the application of expert systems and fuzzy logic in the field of natural hazard monitoring and risk management.

  14. Modelling the system behaviour of wet snow avalanches using an expert system approach for risk management on high alpine traffic roads

    Science.gov (United States)

    Zischg, A.; Fuchs, S.; Keiler, M.; Meißl, G.

    2005-10-01

    The presented approach describes a model for a rule-based expert system calculating the temporal variability of the release of wet snow avalanches, using the assumption of avalanche triggering without the loading of new snow. The knowledge base of the model is created by using investigations on the system behaviour of wet snow avalanches in the Italian Ortles Alps, and is represented by a fuzzy logic rule-base. Input parameters of the expert system are numerical and linguistic variables, measurable meteorological and topographical factors and observable characteristics of the snow cover. Output of the inference method is the quantified release disposition for wet snow avalanches. Combining topographical parameters and the spatial interpolation of the calculated release disposition a hazard index map is dynamically generated. Furthermore, the spatial and temporal variability of damage potential on roads exposed to wet snow avalanches can be quantified, expressed by the number of persons at risk. The application of the rule base to the available data in the study area generated plausible results. The study demonstrates the potential for the application of expert systems and fuzzy logic in the field of natural hazard monitoring and risk management.

  15. An epidemiological study of road traffic accident cases admitted in a tertiary care hospital.

    Science.gov (United States)

    Pathak, S M; Jindal, A K; Verma, A K; Mahen, A

    2014-01-01

    Road traffic accidents are a leading cause of mortality and morbidity globally. In India, more than a million are injured annually and about a lakh are killed in road traffic accidents.(1) It causes the country to lose around 55,000 crores annually which is 2-3% of Gross Domestic Production (GDP).(2) This cross sectional study was conducted to elucidate the role of various factors involved in road traffic accidents. Road traffic accident cases admitted to a tertiary care hospital between 01 Oct 2009 and 28 Feb 2011 were included in the study. A total of 182 patients were studied. Information was collected through questionnaire, hospital records and on-site visit. OPD cases, comatose patients and deaths were excluded. Two-wheelers were the commonest vehicle involved in vehicular accidents. Most accidents happened at a speed of 40-60 km/h (37.9%). Most of the patients were aged between 20 and 30 years. Majority had a driving experience of less than 5 years. Monsoons witnessed 46.7% cases. Most cases occurred between 6 and 10 pm. Among severe injuries, the commonest was lower limb fractures (19.8%). There are multiple factors associated with road traffic accidents which due to the lack of road safety measures in the country are playing their role. It is the need of the hour to address this issue and formulate comprehensive, scientific and practical rules and regulations as well as evaluate its enforcement.

  16. Traffic injury mortality trends in children and adolescents in Lithuania among road users.

    Science.gov (United States)

    Strukcinskiene, Birute; Uğur-Baysal, Serpil; Raistenskis, Juozas

    2014-01-01

    This study analyzes traffic mortality trends among road users from 1998 to 2012 in children and adolescents aged 0-19 years in Lithuania. National mortality data of pedestrians, cyclists, motorcyclists, and car occupants were used to compare trend lines. The study revealed that 56% of the deceased in road traffic crashes were car occupants, while 24% were pedestrians. The incidence of death from traffic injury was 2.5 times higher in boys than girls. Traffic injury mortality and pedestrian mortality rates declined significantly in the total group. There was also a significant decline in mortality among cyclists for the total group and female subgroup. Trends in mortality rates among motorcyclists and car occupants showed no significant changes. A long-term decline is more likely to be affected by efforts in the promotion of sustainable and permanent road safety. The reduced risk exposure may also have been influenced by the economic recession.

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

    Science.gov (United States)

    Kaur, Ramanpreet; Sharma, Sapna

    2017-04-01

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

  18. Traffic mortality and the role of minor roads

    NARCIS (Netherlands)

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

    2009-01-01

    Roads have large impacts on wildlife, as they form one of the principal causes of mortality, and disturbance and fragmentation of habitat. These impacts are mainly studied and mitigated on major roads. It is, however, a widespread misconception that most animals are killed on major roads. In this

  19. 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.

  20. Quality of life following road traffic injury: A systematic literature review.

    Science.gov (United States)

    Rissanen, Ritva; Berg, Hans-Yngve; Hasselberg, Marie

    2017-09-19

    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.

  1. 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.

  2. CLINICO– EPIDEMIOLOGICAL PROFILE OF ROAD TRAFFIC IN CIDENTS ADMITTED AT A TERTIARY CARE HOSPITAL IN GARHWAL- UTTARAKHAND

    Directory of Open Access Journals (Sweden)

    Sumeet

    2012-07-01

    Full Text Available ABSTRACT: BACKGROUND: The magnitude of Road traffic incidents and fatali ties in India is alarming. In 2009, 4.22 lakh road traffic incidents and 1.27 lakh road traffic fatalities were reported. These numbers translate into one road accident every minute and o ne road accident death every four minutes METHODS: The study (based on Jorgensen and Abane model, 199 9 was conducted over a period of one year during April 2011 to March 2012, among 136 victims (including 33 drivers of road traffic incidents coming to Veer Chandra Singh Garh wali government medical college, Srinagar, Garhwal. RESULTS: 136 victims including 33 drivers were interviewed who were brought to the causality in the aforesaid period. 23 people were b rought dead. There is clustering of cases from the month of August to October when compared to other m onths of year. 40% of drivers were drunk/or using some other substance at the time of accident. Only 12.1% of drivers were using seat belts at the time of accident. 57.6% were having dr iving license and 54.5% were either refractive error or hearing impairment or both. Human error, H igh speed, Lack of sleep, effect of Alcohol and mechanical fault of vehicle were reasons of acciden t as told by the drivers CONCLUSIONS: During August to October there is clustering of cases. Thi s period coincides with “Char Dham Yatra” and rainy season both. Special efforts should be done d uring this period. Strong vigilance of drivers for ORIGINAL ARTICLE Journal of Evolution of Medical and Dental Sciences / Volume 1 / Issue 3 / July- Sept 2012 Page 84 alcohol use, presence of driving license, compulsor y use of seat belts, and premedical checkup for refractive errors may prove valuable and morbidity and mortality can be minimized.

  3. 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 Dyn

  4. 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.

  5. International orientation on methodologies for modelling developments in road safety.

    NARCIS (Netherlands)

    Reurings, M.C.B. & Commandeur, J.J.F.

    2007-01-01

    This report gives an overview of the models developed in countries other than the Netherlands to evaluate past developments in road traffic safety and to obtain estimates of these developments in the future. These models include classical linear regression and loglinear models as applied in Great Br

  6. Association between mandatory seatbelt laws and road traffic injuries in Iran.

    Science.gov (United States)

    Soori, H; Nasermoadeli, A; Ainy, E; Hassani, S A; Mehmandar, M R

    2011-11-01

    This study investigated the efficacy of mandatory seatbelt legislation on traffic injuries and intensity of road traffic injuries (RTIs). We carried out a before- after interventional study. Data regarding road traffic accidents and injuries one year before and one and two years after the implementation of mandatory seatbelt legislation were obtained from the traffic police database. Traffic accident mortality was 13.0% of all RTIs during the year prior to implementation. This decreased to 9.7% and 11.4% during the first and second years after implementation, respectively (p < 0.001). The mortality rate was not consistent for seatbelt use since there was a slight increase in the mortality rate in second year after implementation of mandatory seatbelt use although this level was lower than the pre- implementation rate. Our findings suggest mandatory seatbelt use reduces the intensity of RTIs and reduces the crude number of RTIs.

  7. Road Resources Distribution and Evolution Analysis Using a Species Competition Model for Improving Road Equity

    Institute of Scientific and Technical Information of China (English)

    YING Xiwen; SHI Jing

    2008-01-01

    The paper analyzes the equity of road resources distribution in urban areas by modeling the competitive relationship among different road users.A logistic model is used to describe the development of different traffic modes in the transportation network.The system is similar to the species competition model,so a two-species model is used to analyze the relationship between users based on the stability of the equilibrium points.The Lotka-Volterra model is then used to describe the multi-species cases with numerical examples,showing that this model can describe the effects of the road space distribution on the competitive user relationships.Policy makers must ensure the equity of road resources distribution so that each urban transportation mode is properly developed for sustainable social development.

  8. Incorporating real-time traffic and weather data to explore road accident likelihood and severity in urban arterials.

    Science.gov (United States)

    Theofilatos, Athanasios

    2017-06-01

    The effective treatment of road accidents and thus the enhancement of road safety is a major concern to societies due to the losses in human lives and the economic and social costs. The investigation of road accident likelihood and severity by utilizing real-time traffic and weather data has recently received significant attention by researchers. However, collected data mainly stem from freeways and expressways. Consequently, the aim of the present paper is to add to the current knowledge by investigating accident likelihood and severity by exploiting real-time traffic and weather data collected from urban arterials in Athens, Greece. Random Forests (RF) are firstly applied for preliminary analysis purposes. More specifically, it is aimed to rank candidate variables according to their relevant importance and provide a first insight on the potential significant variables. Then, Bayesian logistic regression as well finite mixture and mixed effects logit models are applied to further explore factors associated with accident likelihood and severity respectively. Regarding accident likelihood, the Bayesian logistic regression showed that variations in traffic significantly influence accident occurrence. On the other hand, accident severity analysis revealed a generally mixed influence of traffic variations on accident severity, although international literature states that traffic variations increase severity. Lastly, weather parameters did not find to have a direct influence on accident likelihood or severity. The study added to the current knowledge by incorporating real-time traffic and weather data from urban arterials to investigate accident occurrence and accident severity mechanisms. The identification of risk factors can lead to the development of effective traffic management strategies to reduce accident occurrence and severity of injuries in urban arterials. Copyright © 2017 Elsevier Ltd and National Safety Council. All rights reserved.

  9. 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.

  10. Predictors of children's sleep onset and maintenance problems after road traffic accidents

    Directory of Open Access Journals (Sweden)

    Lutz Wittmann

    2012-06-01

    Full Text Available Background: 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. Objective: 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. Method: 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. Results: 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. Conclusions: 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.

  11. Economics of global burden of road traffic injuries and their relationship with health system variables

    Directory of Open Access Journals (Sweden)

    Koustuv Dalal

    2013-01-01

    Full Text Available Background: To estimate the economic loss due to road traffic injuries (RTIs of the World Health Organization (WHO member countries and to explore the relationship between the economic loss and relevant health system factors. Methods: Data from the World Bank and the WHO were applied to set up the databases. Disability-adjusted life year (DALY and gross domestic product per capita were used to estimate the economic loss relating to RTIs. Regression analysis was used. Data were analyzed by IBM SPSS Statistics, Versions 20.0. Results: In 2005, the total economic loss of RTIs was estimated to be 167,752.4 million United States Dollars. High income countries (HIC showed the greatest economic losses. The majority (96% of the top 25 countries with the greatest DALY losses are low and middle income countries while 48% of the top 25 countries with the highest economic losses are HIC. The linear regression model indicates an inverse relationship between nurse density in the health system and economic loss due to RTI. Conclusions: RTIs cause enormous death and DALYs loss in low-middle income countries and enormous economic loss in HIC. More road traffic prevention programs should be promoted in these areas to reduce both incidence and economic burden of RTIs.

  12. 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.

  13. Effect of environment on extremely severe road traffic crashes:retrospective epidemic analysis during 2000-2001

    Institute of Scientific and Technical Information of China (English)

    覃华丽; 赵新才; 周继红; 邱俊; 杨在亮; 蒋志泉; 朱秉忠

    2004-01-01

    Objective: To make an epidemiological analysis of the effect of environment on extremely severe road traffic crashes (RTCs). Methods: Epidemiologic data of extremely severe RTCs associated with environmental factors, including weather, topography, road conditions and other traffic conditions in Mainland China during 2000-2001, were collected and analyzed. Results: (1) During 2000-2001, there were 3 365 extremely severe RTCs with 13 666 deaths, 12 204 injuries and a direct economical loss of 136 million RMB. (2) Most extremely severe RTCs occurred in fine weather days and in the daytime. The high occurrence sites were plain areas, horizontal and straight roads, Grade B and C roads, ordinary road segment, and asphalt, smooth and mixed roads. (3) Compared with other RTCs, extremely severe RTCs were more likely to happen under following conditions: on cloudy, snowing, misty and blustering days; in hill and mountainous areas; on crooked and sloping roads; on freeway, Grade A, B, and C roads; mixed roads; ordinary, bridge, narrow and transitional roads; sand and dirt-roads; without traffic control measures; night without lighting. (4) Extremely severe RTCs of mountainous area or crooked and sloping roads were most severe in terms of deaths and injures per crash. Conclusions: Extremely severe RTCs are closely related with environmental factors. Rational road programming, enhancing road establishment and improving road conditions are probably effective measures to reduce the road traffic injuries.

  14. Brochure "towards a sustainable safe traffic system in the Netherlands : National Road Safety Investigation 1990-2010".

    NARCIS (Netherlands)

    SWOV Institute for Road Safety Research

    1995-01-01

    The Netherlands is one of the safety countries on earth when it comes to traffic on the road. Nevertheless, the Dutch government has set road safety targets: 50% fewer fatalities and 40% fewer hospital admissions resulting from road accidents by the year 2010. The SWOV Institute for Road Safety Rese

  15. Magnitude and outcomes of road traffic accidents at Hospitals in Wolaita Zone, SNNPR, Ethiopia.

    Science.gov (United States)

    Hailemichael, Feleke; Suleiman, Mohammed; Pauolos, Wondimagegn

    2015-04-09

    A Road traffic accident is an incident on a way or street open to public traffic, resulting in one or more persons being killed or injured, and involving at least one moving vehicle. The aim of this study is to assess magnitude and outcome of road traffic accidents among trauma victims at hospitals in Wolaita zone. A cross sectional hospital based study design using retrospective chart review was conducted from March 5th to March 25th, 2014. Simple random sampling technique was applied to identify sample population. The data was entered in to Epi info version 3.5.1 and transferred to SPSS version 16 for further analysis. A total of 384 trauma victims were incorporated in the study of which 240 (62.5%) were due to road traffic accidents. The majority of patients were male 298 (77.6%) and most commonly aged between 20-29 (35.42%). The principal outcome of injury was more commonly lower extremity (182 patients, 47.4%), compared to upper extremity (126 patients, 32.8%). Of all trauma patient presenting to hospitals (62.5%) are the result of road traffic accident. Hence, the provision of tailored messages to all members of the community regarding knowledge and practices of road safety measures like appropriate use of pavements by pedestrians and avoiding risky driving behaviors. Besides this make use of compulsory motorcycle helmets would appear to be a very important intervention.

  16. DRONE - a tool for urban traffic noise abatement policy evaluation

    OpenAIRE

    A. Bhaskar; 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...

  17. Epidemiology of road traffic mortality and injuries in Yazd, Iran during 2003-2008

    Institute of Scientific and Technical Information of China (English)

    Hossien Fallahzadeh; Atefeh Dehgani

    2011-01-01

    Objective: Road traffic crashes (RTCs) are considered to be the second highest cause of mortality in Iran. The purpose of this study was to describe the morbidity and mortality of RTC during 2003-2008.Methods: Data were got from national health sources of Iran. These data included population, the number of RTCs,consequent fatalities, cause and place of death from 2003 to 2008.Results: RTC incidence rate increased from 868.5 per 100 000 population in the year 2003 to 1 643.6 in 2008. A total of 2 565 deaths from RTC were recorded in Yazd from 2003 to 2008. RTC mortality rate increased from 46.1 per 100 000 population in 2003 to 46.9 in 2006, then declined to 38.8 in 2008. During this time period, overall traffic injury incidence per 100 000 population increased from 368.8 in 2003 to 647.9 in 2006, then declined to 527.9 in 2008. Head injuries were the most common cause of road traffic-related mortality from 2003 to 2008. Following road traffic accidents, most of the deaths occurred before arriving hospital.Conclusions: Road traffic crash-related mortality and morbidity in Yazd in the recent six years are increased, but decreased in the last two years. This decline is most probably the result of a variety of interventions, including laws,police enforcement, improvements in traffic and transport,health care resources and media and public education.

  18. 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

  19. Exploiting automatically generated databases of traffic signs and road markings for contextual co-occurrence analysis

    Science.gov (United States)

    Hazelhoff, Lykele; Creusen, Ivo M.; Woudsma, Thomas; de With, Peter H. N.

    2015-11-01

    Combined databases of road markings and traffic signs provide a complete and full description of the present traffic legislation and instructions. Such databases contribute to efficient signage maintenance, improve navigation, and benefit autonomous driving vehicles. A system is presented for the automated creation of such combined databases, which additionally investigates the benefit of this combination for automated contextual placement analysis. This analysis involves verification of the co-occurrence of traffic signs and road markings to retrieve a list of potentially incorrectly signaled (and thus potentially unsafe) road situations. This co-occurrence verification is specifically explored for both pedestrian crossings and yield situations. Evaluations on 420 km of road have shown that individual detection of traffic signs and road markings denoting these road situations can be performed with accuracies of 98% and 85%, respectively. Combining both approaches shows that over 95% of the pedestrian crossings and give-way situations can be identified. An exploration toward additional co-occurrence analysis of signs and markings shows that inconsistently signaled situations can successfully be extracted, such that specific safety actions can be directed toward cases lacking signs or markings, while most consistently signaled situations can be omitted from this analysis.

  20. Economic burden of road traffic injuries: a micro-costing approach.

    Science.gov (United States)

    Riewpaiboon, Arthorn; Piyauthakit, Piyanuch; Chaikledkaew, Usa

    2008-11-01

    This study aimed to determine the economic burden incurred from road traffic injuries in Thailand. It was designed as a prevalence-based cost-of-illness analysis from a societal perspective, employing a micro-costing bottom-up approach. It covered direct medical cost, direct non-medical cost, and indirect cost or productivity loss. Productivity loss covers the costs of work absence or death due to road traffic injuries suffered by persons of working age. We collected data on road traffic injuries and resource utilization which occurred in the fiscal year 2004. A simple random sampling was used to select 200 patients for analysis. The average cost of road traffic injuries per patient was USD 2,596 at 2004 prices. This can be divided into direct cost (USD 102, or 4%) and indirect cost (USD 2,494, or 96%). From these results, we can see that the indirect cost far outweighed the direct cost. To base decisions regarding road safety campaigns on savings of direct costs, particularly direct medical costs, is inadequate. Therefore, data on the complete cost of illness should be taken into account in the planning and creation of a road safety policy.

  1. 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.

  2. 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

  3. A novel macroscopic traffic model based on generalized optimal velocity model

    Institute of Scientific and Technical Information of China (English)

    Zhou Xuan-Hao; Lu Yong-Zai

    2011-01-01

    In this paper, we adopt the coarse graining method proposed by Lee H K et al. to develop a macroscopic model from the microscopic traffic model-GOVM. The proposed model inherits the pararneter p which considers the influence of next-neareet car introduced in the GOVM model. The simulation results show that the new model is strictly consistent with the former microscopic model. Using this macroscopic model, we can avoid considering the details of each traffic on the road, and build more complex models such as road network model easily in the future.

  4. 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.

  5. "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

  6. Collection of road traffic information from satellite images and digital map

    Science.gov (United States)

    Shinmura, Fumito; Saji, Hitoshi

    2010-10-01

    There have been many reports on the analysis of the Earth's surface by remote sensing. The purpose of this study is to analyze traffic information, and we have been studying methods of collecting traffic information by remote sensing. To collect traffic information, sensors installed on the roadside are frequently used. However, methods using sensors only collect information around the positions of the sensors. In this study, we attempt to solve this problem by using satellite images, which have recently become increasingly available. We propose a method of collecting traffic information over a large area using satellite images as well as three-dimensional digital maps. We assess traffic conditions by computing the number of edges of vehicles per road section as follows. First, the edges of vehicles are detected in satellite images. During this processing, three-dimensional digital maps are used to increase the accuracy of vehicle edge detection. The number of vehicles per road section, which is computed from the number of edges of vehicles, is computed and referred to as the vehicle density. Traffic conditions can be assessed from the vehicle density and are considered useful for collecting information on traffic congestion. In this study, we experimentally confirm that congested roads can be extracted from satellite images by our method.

  7. Achieving safe road traffic — the experience in Japan

    Directory of Open Access Journals (Sweden)

    Takashi Oguchi

    2016-03-01

    This paper compares Japanese annual trends with those of other developed countries to show that Japan has recently become risen to the top level of traffic safety. In hopes of achieving an even safer traffic society in Japan, the paper summarizes the key factors for consideration.

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

    African Journals Online (AJOL)

    User

    2011-05-20

    May 20, 2011 ... tyranny of small decisions by motorists and some other citizens, hence, traffic ... often it is not for the common good of the group, organization or society to .... makes the traffic situation worse off in the long run, while making.

  9. 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

  10. Kinetic energy management in road traffic injury prevention: a call for action

    Directory of Open Access Journals (Sweden)

    Davoud Khorasani-Zavareh

    2015-01-01

    Full Text Available Abstract: By virtue of their variability, mass and speed have important roles in transferring energies during a crash incidence (kinetic energy. The sum of kinetic energy is important in determining an injury severity and that is equal to one half of the vehicle mass multiplied by the square of the vehicle speed. To meet the Vision Zero policy (a traffic safety policy prevention activities should be focused on vehicle speed management. Understanding the role of kinetic energy will help to develop measures to reduce the generation, distribution, and effects of this energy during a road traffic crash. Road traffic injury preventive activities necessitate Kinetic energy management to improve road user safety.

  11. Impact of road traffic injuries on disability rates and long-term care costs in Spain.

    Science.gov (United States)

    Alemany, Ramon; Ayuso, Mercedes; Guillén, Montserrat

    2013-11-01

    Road traffic injuries are one of the leading causes of increasing disability-adjusted life expectancy. We analyze long-term care needs associated with motor vehicle crash-related disability in Spain and conclude that needs attributable traffic injuries are most prevalent during victims' mid-life years, they create a significant burden for both families and society as a whole given that public welfare programmes supporting these victims need to be maintained over a long time frame. High socio-economic costs of road traffic accidents (in Spain 0.04% of the GDP in 2008) are clearly indicative of the need for governments and policymakers to strengthen road accident preventive measures. Copyright © 2013 Elsevier Ltd. All rights reserved.

  12. Kinetic energy management in road traffic injury prevention: a call for action.

    Science.gov (United States)

    Khorasani-Zavareh, Davoud; Bigdeli, Maryam; Saadat, Soheil; Mohammadi, Reza

    2015-01-01

    By virtue of their variability, mass and speed have important roles in transferring energies during a crash incidence (kinetic energy). The sum of kinetic energy is important in determining an injury severity and that is equal to one half of the vehicle mass multiplied by the square of the vehicle speed. To meet the Vision Zero policy (a traffic safety policy) prevention activities should be focused on vehicle speed management. Understanding the role of kinetic energy will help to develop measures to reduce the generation, distribution, and effects of this energy during a road traffic crash. Road traffic injury preventive activities necessitate Kinetic energy management to improve road user safety. © 2015 KUMS, All rights reserved.

  13. Effects of road traffic noise and irrelevant speech on children's reading and mathematical performance.

    Science.gov (United States)

    Ljung, Robert; Sörqvist, Patrik; Hygge, Staffan

    2009-01-01

    Irrelevant speech in classrooms and road traffic noise adjacent to schools have a substantial impact on children's ability to learn. Comparing the effects of different noise sources on learning may help construct guidelines for noise abatement programs. Experimental studies are important to establish dose-response relationships and to expand our knowledge beyond correlation studies. This experiment examined effects of road traffic noise and irrelevant speech on children's reading speed, reading comprehension, basic mathematics, and mathematical reasoning. A total of 187 pupils (89 girls and 98 boys), 12-13 years old, were tested in their ordinary classrooms. Road traffic noise was found to impair reading speed (P<0.01) and basic mathematics (P<0.05). No effect was found on reading comprehension or on mathematical reasoning. Irrelevant speech did not disrupt performance on any task. These findings are related to previous research on noise in schools and the implications for noise abatement guidelines are discussed.

  14. The effects of road traffic noise and meaningful irrelevant speech on different memory systems.

    Science.gov (United States)

    Hygge, Staffan; Boman, Eva; Enmarker, Ingela

    2003-02-01

    To explore why noise has reliable effects on delayed recall in a certain text-reading task, this episodic memory task was employed with other memory tests in a study of road traffic noise and meaningful but irrelevant speech. Context-dependent memory was tested and self-reports of affect were taken. Participants were 96 high school students. The results showed that both road traffic noise and meaningful irrelevant speech impaired recall of the text. Retrieval in noise from semantic memory was also impaired. Attention was impaired by both noise sources, but attention did not mediate the noise effects on episodic memory. Recognition was not affected by noise. Context-dependent memory was not shown. The lack of mediation by attention, and road traffic noise being as harmful as meaningful irrelevant speech, are discussed in relation to where in the input/storing/output sequence noise has its effect and what the distinctive feature of the disturbing noise is.

  15. 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.

  16. Derivation, calibration and verification of macroscopic model for urban traffic flow. Part 1

    CERN Document Server

    Kholodov, Yaroslav A; Kholodov, Aleksandr S; Vasiliev, Mikhail O; Kurzhanskiy, Alexander A

    2016-01-01

    In this paper we present a second-order hydrodynamic traffic model that generalizes the existing second-order models of Payne-Whithem, Zhang and Aw-Rascle. In the proposed model, we introduce the pressure equation describing the dependence of "traffic pressure" on traffic density. The pressure equation is constructed for each road segment from the fundamental diagram that is estimated using measurements from traffic detectors. We show that properties of any phenomenological model are fully defined by the pressure equation. We verify the proposed model through simulations of the Interstate 580 freeway segment in California, USA, with traffic measurements from the Performance Measurement System (PeMS).

  17. Research on the Application of Wireless Network in Collecting Road Traffic Information

    Institute of Scientific and Technical Information of China (English)

    DU Hui-jiang

    2015-01-01

    Due to the characteristics of variability and dispersion in traffic information, to get the reliable real-time traffic information has been a bottleneck in the development of intelligent transportation systems. However, with the development of wireless network technology and mobile Internet, the mobile phones are rapidly developed and more popular, so it is possible to get road traffic information by locating the mobile phones in vehicles. The system structure for the road traffic information collection is designed based on wireless network and mobile phones in vehicles, and the vehicle recognition and its information computation methods are given and discussed. Also the simulation is done for vehicle recognition and computation based on fuzzy cluster analysis method and the results are obtained and analyzed.

  18. 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.

  19. Analysis of the contribution of the road traffic industry to the PM2.5 emission for different land-use types.

    Science.gov (United States)

    Xu, Peng; Wang, Wei; Ji, Jiawei; Yao, Shunyu

    2014-01-01

    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.

  20. Extent and determinants of cost of road traffic injuries in an Indian city

    Directory of Open Access Journals (Sweden)

    Reddy G. M. M

    2009-12-01

    Full Text Available Background : Studies aimed at estimating losses that are incurred as a result of road traffic injuries (RTIs, especially at the family level, are very limited. Aims : To ascertain the direct and productivity costs of road traffic injuries and their determinants. Settings and Design : This study was a cross-sectional survey of all the road traffic crashes recorded by traffic police during 2004 in Chandigarh, a modern planned city of north India. Material and Methods : All road traffic crashes recorded by the traffic police during the year 1st January to 31st December 2004 were included in the study. The houses of all the victims were visited. The direct costs included the immediate medical costs (i.e., emergency and hospital care, follow-up care, medicines and appliances, doctor bills, etc., and nonmedical costs (transportation, property damage cost, etc.. Statistical Analysis : Work productivity and activity questionnaire (WPAI-SHP, the health and labor questionnaire (HLQ and Human Capital Method were used for estimating the productivity costs. Percentage, mean, standard deviation of the outcome parameters were calculated. Results :Of the 121 crash victims listed, 95 agreed to participate in the study. The net direct costs incurred were Rs. 8,55,644 ($19,991. The vehicle repair costs constituted more than half of such cost. Surgery, which was conducted in 28 cases, constituted 14.5% of the direct costs. The total productivity cost incurred was Rs. 8,06,24,530 ($1,883,750. Costs incurred due to premature mortality constituted over 99% of these productivity losses suffered by society. Lost wages due to the crash constituted less than 1% [Rs. 1,40,230 ($3276] of the total productivity loss. Conclusions : Road traffic injuries are a significant financial drag on the society. The productivity costs far outweigh the direct costs. Premature mortality, vehicle damage and medical costs constituted the major share of the cost of RTIs.

  1. Assessing Traffic Accident Occurrence of Road Segments through an Optimized Decision Rule

    Directory of Open Access Journals (Sweden)

    Lu Ma

    2015-01-01

    Full Text Available Statistical models for estimating the safety status of transportation facilities have received great attention in the last two decades. These models also perform an important role in transportation safety planning as well as diagnoses of locations with high accident risks. However, the current methods largely rely on regression analyses and therefore they could ignore the multicollinearity characteristics of factors, which may provide additional information for enhancing the performance of forecasting models. This study seeks to develop more precise models for forecasting safety status as well as addressing the issue of multicollinearity of dataset. The proposed mathematical approach is indeed a discriminant analysis with respect to the goal of minimizing Bayes risks given multivariate distributions of factors. Based on this model, numerical analyses also perform with the application of a simulated dataset and an empirically observed dataset of traffic accidents in road segments. These examples essentially illustrate the process of Bayes risk minimization on predicating the safety status of road segments toward the objective of smallest misclassification rate. The paper finally concludes with a discussion of this methodology and several important avenues for future studies are also provided.

  2. Optimal proportion of studded tyres in traffic flow to prevent polishing of an icy road.

    Science.gov (United States)

    Tuononen, Ari J; Sainio, Panu

    2014-04-01

    Studded tyres can significantly wear the road surface and increase particle emissions from the road surface, which has a negative impact on air quality in urban areas. However, road wear might have a positive aspect by roughening the road surface and thus preventing polishing. As a consequence, other vehicles than the ones using studded tyres might also benefit from the usage of studded tyres. The impact of the proportion of studded tyres in the traffic flow on the tyre-ice friction coefficient was studied with a fleet of real cars in a closed environment under strict procedural control. The results show that a proportion of 25-50% studded tyres in the traffic flow is enough to prevent ice from developing in a manner that is critically slippery for non-studded winter tyres. It was also observed that the visual appearance of the ice surface does not indicate if the ice has become more slippery or not.

  3. 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.

  4. 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...... 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...

  5. Analysis of road traffic crash injuries - a technique producing large un-decalcified histological sections

    DEFF Research Database (Denmark)

    Uhrenholt, Lars; Gregersen, Markil Ebbe Gregers; Vesterby, Annie

    description of the facet joints is necessary for the optimal management of clinical conditions following road traffic crashes. Only few studies have dealt the preparation of large un-frozen specimen, in contrast to the many studies utilising cryomicrotomy of frozen tissues. We present a practicable method......Introduction:The lower cervical spine facet joints are important structures in cases of chronic pain syndromes following road traffic crashes. Pathophysiological segmental kinematics may occur, particularly during rear-impact collisions, which may cause injury to these joints. Detailed anatomical...

  6. 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 (LAeq,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 LAeq,24h in Taichung was 66.4 ± 4.7 A-weighed decibels (dBA). Significant differences in LAeq,24h and frequency components were observed between land-use types (all p-values traffic flow rates, and land-use types were significantly associated with annual average LAeq,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.

  7. Road Traffic Injuries Among Iranian Children and Adolescents: An Epidemiological Review

    OpenAIRE

    Salar Behzadnia; Soheila Shahmohammadi

    2016-01-01

    Context: Road traffic injuries (RTIs) are the leading cause of death and globally kill 1.2 million people every year and leave 20 - 50 million people injured and disabled. In Iran, traffic related fatalities are the leading cause of death among all inadvertent fatal injuries imposed on children under five. Herein, authors review the epidemiological studies performed on vehicle accidents among Iranian children and adolescents to improve the knowledge about these preventable events...

  8. The influences of drivers/riders in road traffic crashes in Ghana between 2001 and 2011.

    Science.gov (United States)

    Amo, Thompson

    2014-04-07

    The road traffic accident (RTA) is a global misfortune and the leading cause of death among young drivers. In safeguarding and developing innovative safety strategies to curtail the situation, the factors causing this menace needs proper attention and investigation. The objective of this study is to identify the potential factors responsible for causing a traffic accident in Ghana. In studying these factors extensively, a descriptive study with quantitative technique was employed. Analyses used data between 2001 and 2011 obtained from the Building and Road Research Institute (BRRI) with specific focus on the age, drinking, vehicle defect, driver/rider error, injury, road surface type and weather. A total of 200,528 cases of drivers/riders were analysed and discovered that, people with younger age (21-40) contribute 62.97% of total crashes. Crashes reduce steadily as drivers/riders age increases. Also, the vehicle defect analysis shows that 87.46% of accidents cannot be linked to the fault of the vehicle before incidence, while the majority (75.38%) of drivers/riders had no injury during a traffic accident. Higher number of fatalities are recorded on tar good roads (81.57%) and clear weather (91.75%). The fight against this canker by the authorities must consider periodic refresher courses for younger drivers/riders on traffic law to bring to bear the adherence of good driving/riding principles and attitudes to ensure that safety is guaranteed for all road users in the country.

  9. Epidemiological characteristics and relative factor of hospital death cases with road traffic trauma

    Institute of Scientific and Technical Information of China (English)

    Zhang Yadong; Hou Shuxun; Yao Yongming; Sheng Zhiyong; Wang Fu; Wang Yubin; Zheng Weijia

    2001-01-01

    Objective:To investigate the epidemiological characteristics and relative factor about hospital death in patients with road traffic trauma. Methods: The age, sex, road-use category, sites of injury, injury severity scale of 159 hospital death cases in 2436 cases with road traffic trauma were observed, and the relation between the causes of death and time elapsed after injury was also studied with likelihood ratio Chi-square test. Results: More hospital deaths happen more likely in the elderly patients and peasants with road traffic trauma. Motor vehicle was the most common culprit, and the majority of victims were pedestrians. The causes of death were related with the time elapsed after injury, and according to which the clinical course of the wounded patients could be divided into cerebral injury / shock phase, transitional phase, infection phase and multiple organ dysfunction syndrome (MODS) phase.Conclusion: There is a significant relation between the hospital deaths and types of the injury and medical care in road traffic accidents. It should be emphasized that strategy of prevention of hospital deaths during hospital care should vary in different phases of the clinical course.

  10. 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.

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

    African Journals Online (AJOL)

    PROF. OLIVER OSUAGWA

    2014-06-01

    Jun 1, 2014 ... 1Civil Engineering Department, College of Science and Engineering ... The methodology used for this paper was the collections of data. .... knowledge of traffic rules and regulations, .... of formal training in driving school.

  12. Modeling of road traffic collision accidents’causes and experimental analysis of influential factors%道路交通碰撞事故致因建模与影响因素试验分析

    Institute of Scientific and Technical Information of China (English)

    杨京帅; 任书杭; 马志政; 王浩; 罗钿

    2015-01-01

    In order to study the causes of road traffic collision accidents by traffic situations and driv-er factors,the causes of collision accidents and the significance of the influential factors were ana-lyzed by combining intelligent swarm behavior modeling,fishbone diagram method and experiment testing.The model analysis results indicate that the causes of collision accidents depend on the ability of driver perceiving hazardous information in traffic situations timely and accurately and the relative velocity between different individuals.The hazards recognition ratio and the detection time percentile are related to the hazard types,the characteristics of traffic situations and drivers'experiences.There is significant difference of the hazards recognition ratio and the detection time percentile between la-tent hazards and factual hazards.Dynamic hazards can be found faster than statistic hazards.Com-pared with novice drivers,experienced drivers can find more hazardous information and find hazards faster.Besides,for experienced divers,the accuracy of forecasting and judging traffic situations de-velopment as well as the confidence are higher.%为了分析交通情境与驾驶人因素导致道路交通碰撞事故的原因,采用智能群体建模、鱼骨图方法与试验测试相结合的方式,剖析了道路交通碰撞事故的致因及影响因素的显著性。模型分析结果表明,碰撞事故的致因取决于驾驶人对于交通情境危险信息及时准确的感知以及个体间的相对运动速度。交通情境中的危险识别率和发现时间百分位与危险的类别、交通情境的特点以及驾驶人的经验密切相关。潜在危险与实际危险在识别率与发现时间百分位上存在显著差异;动态危险的发现时间百分位小于静态危险;相比非熟练驾驶人,熟练驾驶人能够发现更多的危险信息,更快速地发现危险,并且对于交通情境的演变预测与判别更准确,具有更高的自信程度。

  13. 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…

  14. 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...

  15. Road Safety Data, Collection, Transfer and Analysis DaCoTa. Factsheet Traffic safety basic facts 2010 : urban areas.

    NARCIS (Netherlands)

    Pace, J.-F. López de Cozar, E. Pérez-Fuster, P. Sanmartín, J. Yannis, G. Evgenikos, P. Argyropoulou, E. Papantoniou, P. Broughton, J. Knowles, J. Brandstaetter, C. Candappa, N. Christoph, M. Vis, M. Haddak, M. Moutengou, E. & Kirk, A.

    2012-01-01

    In 2008, 13.502 people were killed in traffic accidents on urban roads in the EU-19. This is 38% of all traffic accident fatalities in 2008. In the last decade, urban road fatalities have reduced by a quarter (25,7%), while the total number of fatalities has reduced by almost a third (31,5%). (Autho

  16. Self-organized Natural Roads for Predicting Traffic Flow: A Sensitivity Study

    CERN Document Server

    Jiang, Bin; Yin, Junjun

    2008-01-01

    In this paper, we extended road-based topological analysis into both nationwide and urban road networks, and concentrated on a sensitivity study with respect to the formation of self-organized natural roads based on 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- to road-based network topology in terms of correlation between ranking metrics and their traffic. To our big 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-orga...

  17. 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 injuries as front seat passengers, employment of newer laws and preventive measures targeting this group of occupants can prevent many road traffic injuries (RTIs).

  18. Road traffic administration and management in the third world mega-city: Lagos, Nigeria

    Directory of Open Access Journals (Sweden)

    R.A. Asiyanbola

    2012-09-01

    Full Text Available Observation from the literature shows that a city can only be as big as its transportation facilities can enable its people goes about their businesses, move and distribute their goods and services. In spite of these positive aspects of urban transportation system on one side of the coin, the other side of the coin reflects its negative impact that relate to traffic management and administration and road safety. The daily movement of people and freights within and outside the mega-city of LAGOS is becoming more difficult and complex. This is reflected in the increasing bumper-to-bumper traffic being experienced in the mega-city of Lagos during 6.30 am – 11.30am morning peak hours and (3.00pm – 7.30 pm evening peak hours. It now seems that traffic congestions are becoming forcefully acceptable excuses for workers being late to work in Lagos metropolis. One approach at solving this problem adopted by the Lagos State Government is traffic management through the establishment of the Lagos State Traffic Management Authority (LASTMA. Traffic management could be regarded as a systematic and sustained effort on directing and controlling all traffics on our roads to make them free from negative effects of the transport system. The aim of this research work was to assess the impact of the Lagos State Traffic Management Authority (LASTMA with particular reference on the efforts to reduce road traffic problems. Both secondary and primary data sources that were collected in 2008 were used in the study. Policy implications of the findings are discussed in the paper.

  19. A Sarsa(λ-Based Control Model for Real-Time Traffic Light Coordination

    Directory of Open Access Journals (Sweden)

    Xiaoke Zhou

    2014-01-01

    Full Text Available Traffic problems often occur due to the traffic demands by the outnumbered vehicles on road. Maximizing traffic flow and minimizing the average waiting time are the goals of intelligent traffic control. Each junction wants to get larger traffic flow. During the course, junctions form a policy of coordination as well as constraints for adjacent junctions to maximize their own interests. A good traffic signal timing policy is helpful to solve the problem. However, as there are so many factors that can affect the traffic control model, it is difficult to find the optimal solution. The disability of traffic light controllers to learn from past experiences caused them to be unable to adaptively fit dynamic changes of traffic flow. Considering dynamic characteristics of the actual traffic environment, reinforcement learning algorithm based traffic control approach can be applied to get optimal scheduling policy. The proposed Sarsa(λ-based real-time traffic control optimization model can maintain the traffic signal timing policy more effectively. The Sarsa(λ-based model gains traffic cost of the vehicle, which considers delay time, the number of waiting vehicles, and the integrated saturation from its experiences to learn and determine the optimal actions. The experiment results show an inspiring improvement in traffic control, indicating the proposed model is capable of facilitating real-time dynamic traffic control.

  20. Statistical modelling of traffic safety development

    DEFF Research Database (Denmark)

    Christens, Peter

    2004-01-01

    Road safety is a major concern for society and individuals. Although road safety has improved in recent years, the number of road fatalities is still unacceptably high. In 2000, road accidents killed over 40,000 people in the European Union and injured more than 1.7 million. In 2001 in Denmark......, that were designed to study developments over time, including effects of interventions. This aim has been achieved by investigating variations in aggregated Danish traffic accident series and by applying state of the art methodologies to specific case studies. The thesis comprises an introduction...... to accident data, and influential factors such as changing traffic volumes and demographic and economic trends. It highlights the limitations in the influential factors data-structure, in particular, their strong covariance and slow development over time. An important issue in this thesis was to investigate...

  1. 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

  2. Degradation in urban air quality from construction activity and increased traffic arising from a road widening scheme.

    Science.gov (United States)

    Font, Anna; Baker, Timothy; Mudway, Ian S; Purdie, Esme; Dunster, Christina; Fuller, Gary W

    2014-11-01

    Road widening schemes in urban areas are often proposed as a solution to traffic congestion and as a means of stimulating economic growth. There is however clear evidence that new or expanded roads rapidly fill with either displaced or induced traffic, offsetting any short-term gains in eased traffic flows. What has not been addressed in any great detail is the impact of such schemes on air quality, with modelled impact predictions seldom validated by measurements after the expansion of road capacity. In this study we made use of a road widening project in London to investigate the impact on ambient air quality (particulate matter, NOX, NO2) during and after the completion of the road works. PM10 increased during the construction period up to 15 μg m(-3) during working hours compared to concentrations before the road works. A box modelling approach was used to determine a median emission factor of 0.0022 kg PM10 m(-2) month(-1), three times larger than that used in the UK emission inventory (0.0007 kg PM10 m(-2) month(-1)). Peaks of activity released 0.0130 kg PM10 m(-2) month(-1), three and eight times smaller than the peak values used in the European and US inventories. After the completion of the widening there was an increase in all pollutants from the road during rush hour: 2-4 μg m(-3) for PM10; 1 μg m(-3) for PM2.5; 40 and 8 μg m(-3) for NOX and NO2, respectively. NO2 EU Limit Value was breached after the road development illustrating a notable deterioration in residential air quality. Additionally, PM10, but not PM2.5, glutathione dependent oxidative potential increased after the road was widened consistent with an increase in pro-oxidant components in the coarse particle mode, related to vehicle abrasion processes. These increased air pollution indices were associated with an increase in the number of cars, taxis and LGVs.

  3. 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

  4. 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 yea

  5. Traffic Modeling in WCDMA System Level Simulations

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Traffic modeling is a crucial element in WCDMA system level simulations. A clear understanding of the nature of traffic in the WCDMA system and subsequent selection of an appropriate random traffic model are critical to the success of the modeling enterprise. The resultant performances will evidently be of a function that our design has been well adapted to the traffic, channel and user mobility models, and these models are also accurate. In this article, our attention will be focused on modeling voice and WWW data traffic with the SBBP model and Victor model respectively.

  6. Quantifying safety benefit of winter road maintenance: accident frequency modeling.

    Science.gov (United States)

    Usman, Taimur; Fu, Liping; Miranda-Moreno, Luis F

    2010-11-01

    This research presents a modeling approach to investigate the association of the accident frequency during a snow storm event with road surface conditions, visibility and other influencing factors controlling for traffic exposure. The results have the premise to be applied for evaluating different maintenance strategies using safety as a performance measure. As part of this approach, this research introduces a road surface condition index as a surrogate measure of the commonly used friction measure to capture different road surface conditions. Data from various data sources, such as weather, road condition observations, traffic counts and accidents, are integrated and used to test three event-based models including the Negative Binomial model, the generalized NB model and the zero inflated NB model. These models are compared for their capability to explain differences in accident frequencies between individual snow storms. It was found that the generalized NB model best fits the data, and is most capable of capturing heterogeneity other than excess zeros. Among the main results, it was found that the road surface condition index was statistically significant influencing the accident occurrence. This research is the first showing the empirical relationship between safety and road surface conditions at a disaggregate level (event-based), making it feasible to quantify the safety benefits of alternative maintenance goals and methods.

  7. Modeling road-cycling performance.

    Science.gov (United States)

    Olds, T S; Norton, K I; Lowe, E L; Olive, S; Reay, F; Ly, S

    1995-04-01

    This paper presents a complete set of equations for a "first principles" mathematical model of road-cycling performance, including corrections for the effect of winds, tire pressure and wheel radius, altitude, relative humidity, rotational kinetic energy, drafting, and changed drag. The relevant physiological, biophysical, and environmental variables were measured in 41 experienced cyclists completing a 26-km road time trial. The correlation between actual and predicted times was 0.89 (P road-cycling performance are maximal O2 consumption, fractional utilization of maximal O2 consumption, mechanical efficiency, and projected frontal area. The model is then applied to some practical problems in road cycling: the effect of drafting, the advantage of using smaller front wheels, the effects of added mass, the importance of rotational kinetic energy, the effect of changes in drag due to changes in bicycle configuration, the normalization of performances under different conditions, and the limits of human performance.

  8. Epidemiology of road traffic mortality and injuries in Yazd, Iran during 2003?008

    Directory of Open Access Journals (Sweden)

    Fallahzadeh Hossien

    2012-02-01

    Full Text Available 【Abstract】Objective: Road traffic crashes (RTCs are considered to be the second highest cause of mortality in Iran. The purpose of this study was to describe the morbidity and mortality of RTC during 2003-2008. Methods: Data were got from national health sources of Iran. These data included population, the number of RTCs, consequent fatalities, cause and place of death from 2003 to 2008. Results: RTC incidence rate increased from 868.5 per 100 000 population in the year 2003 to 1 643.6 in 2008. A total of 2 565 deaths from RTC were recorded in Yazd from 2003 to 2008. RTC mortality rate increased from 46.1 per 100 000 population in 2003 to 46.9 in 2006, then declined to 38.8 in 2008. During this time period, overall traffic injury incidence per 100 000 population increased from 368.8 in 2003 to 647.9 in 2006, then declined to 527.9 in 2008. Head injuries were the most common cause of road traffic-related mortality from 2003 to 2008. Following road traffic accidents, most of the deaths occurred before arriving hospital. Conclusions: Road traffic crash-related mortality and morbidity in Yazd in the recent six years are increased, but decreased in the last two years. This decline is most probably the result of a variety of interventions, including laws, police enforcement, improvements in traffic and transport, health care resources and media and public education. Key words: Accidents, traffic; Wounds and injuries; Mortality

  9. 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

  10. 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.

  11. Roads at risk – traffic detours from debris flows in southern Norway

    Directory of Open Access Journals (Sweden)

    N. K. Meyer

    2014-10-01

    Full Text Available Globalization 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 kilometers 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 northwestern 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 of speedy delivery of services and goods.

  12. A comparative study of Macroscopic Fundamental Diagrams of urban road networks governed by different traffic signal systems

    CERN Document Server

    Zhang, Lele; de Gier, Jan

    2011-01-01

    Using a stochastic cellular automaton model for urban traffic flow, we study and compare Macroscopic Fundamental Diagrams (MFDs) of arterial road networks governed by different types of adaptive traffic signal systems. In particular, we simulate realistic signal systems that include signal linking and adaptive cycle times, and compare their performance against a network using highly adaptive self-organizing traffic signals. We find that for networks with time- independent boundary conditions, well-defined stationary MFDs are observed, whose shape depends on the particular signal system used, and also on the level of heterogeneity in the system. We find that the spatial heterogeneity of both density and flow provide important indicators of network performance. We also study networks with time-dependent boundary conditions, containing morning and afternoon peaks. In this case, intricate hysteresis loops are observed in the MFDs which are strongly correlated with the density heterogeneity. Our results show that ...

  13. 面向越野通过性虚拟试验的有限元轮胎模型%FEM tire model oriented to virtual experiment of off-road vehicle trafficability

    Institute of Scientific and Technical Information of China (English)

    庞罕; 张为公; 王霞

    2007-01-01

    为了评价越野车辆通过性能力,分析了胎压与轮胎刚度之间的线性关系和轮胎材料的粘弹性特性对轮胎垂向力分布的影响,提出了用系数修正胎压对刚度和有效接地面积影响提高精度的方法.推导了三参数标准线性粘弹性模型的本构关系,得到了四节点等参单元有限元的刚度矩阵,建立了轮胎平面应力状态下的有限元模型.以轮胎六分力传感器为核心构建了轮胎模型的标定和验证系统,通过试验测得了不同车速工况下的车轮垂向力.试验结果验证了所提出的轮胎模型的正确性.%In order to estimate the trafficability of off-road vehicles, the linear relationships between the pressure and the stiffness of the tire and the action of the vertical tire force with the viscoelasticity are analyzed. The method to improve the precision of the model by the coefficients is presented. The constitutive equation of the three-parameter linear model and the stiffness matrix of four-node isoparametric elements are derived to construct the FEM (finite element method) tire model in plan stress. A demarcation and verification system is designed based on the six-dimensional wheel force transducer and the vertical tire force is measured under different velocities. The results show that the model and the method proposed are reasonable.

  14. Self-control of traffic lights and vehicle flows in urban road networks

    Science.gov (United States)

    Lämmer, Stefan; Helbing, Dirk

    2008-04-01

    Based on fluid-dynamic and many-particle (car-following) simulations of traffic flows in (urban) networks, we study the problem of coordinating incompatible traffic flows at intersections. Inspired by the observation of self-organized oscillations of pedestrian flows at bottlenecks, we propose a self-organization approach to traffic light control. The problem can be treated as a multi-agent problem with interactions between vehicles and traffic lights. Specifically, our approach assumes a priority-based control of traffic lights by the vehicle flows themselves, taking into account short-sighted anticipation of vehicle flows and platoons. The considered local interactions lead to emergent coordination patterns such as 'green waves' and achieve an efficient, decentralized traffic light control. While the proposed self-control adapts flexibly to local flow conditions and often leads to non-cyclical switching patterns with changing service sequences of different traffic flows, an almost periodic service may evolve under certain conditions and suggests the existence of a spontaneous synchronization of traffic lights despite the varying delays due to variable vehicle queues and travel times. The self-organized traffic light control is based on an optimization and a stabilization rule, each of which performs poorly at high utilizations of the road network, while their proper combination reaches a superior performance. The result is a considerable reduction not only in the average travel times, but also of their variation. Similar control approaches could be applied to the coordination of logistic and production processes.

  15. Engineering modeling of traffic noise in shielded areas in cities.

    Science.gov (United States)

    Salomons, Erik M; Polinder, Henk; Lohman, Walter J A; Zhou, Han; Borst, Hieronymous C; Miedema, Henk M E

    2009-11-01

    A computational study of road traffic noise in cities is presented. Based on numerical boundary-element calculations of canyon-to-canyon propagation, an efficient engineering algorithm is developed to calculate the effect of multiple reflections in street canyons. The algorithm is supported by a room-acoustical analysis of the reverberant sound fields in the source and receiver canyons. Using the algorithm, a simple model for traffic noise in cities is developed. Noise maps and exposure distributions of the city of Amsterdam are calculated with the model, and for comparison also with an engineering model that is currently used for traffic noise impact assessments in cities. Considerable differences between the two model predictions are found for shielded buildings with day-evening-night levels of 40-60 dB at the facades. Further, an analysis is presented of level differences between the most and the least exposed facades of buildings. Large level differences are found for buildings directly exposed to traffic noise from nearby roads. It is shown that by a redistribution of traffic flow around these buildings, one can achieve low sound levels at quiet sides and a corresponding reduction in the percentage of highly annoyed inhabitants from typically 23% to 18%.

  16. Real-time data fusion of road traffic and ETC data for road network monitoring

    Science.gov (United States)

    de Mouzon, Olivier; El Faouzi, Nour-Eddin

    2007-04-01

    In our present work we introduce the use of data fusion in the field of Transportation and more precisely for motorway travel time estimation. We present an Ad-hoc approach as the operational foundation for the development of a novel travel time estimation algorithm, called Modified Cumulative Traffic Counts Method (MCTC). Based on a data fusion paradigm, we combine in real time multiple evidence derived from two complementary sources to feed our MCTC inference engine and attempt to best estimate prevailing travel time. Our approach has as its main advantages the modeling power of Theory of Evidence in expressing beliefs in some hypotheses, the ability to add the notions of uncertainty in terms of confidence interval. We evaluate our travel estimation algorithm prototype through a set of experiments that were conducted with real network traffic. We conclude that data fusion is a promising approach as it increases the estimation and prediction capability of our MCTC algorithm and increase the robustness of the estimation process.

  17. Geometric and Road Environmental Effects against Total Number of Traffic Accidents in Kendari

    Science.gov (United States)

    Kurdin, M. Akbar; Welendo, La; Annisa, Nur

    2017-05-01

    From the large number of traffic accidents that occurred, the carrying of Kendari as the biggest contributor to accidents in the Southeast. The number of accidents in Kendari row since 2011 was recorded at 18 accidents due to the influence of geometric road, in 2012 registered at 13 accident and in 2013 amounted to 6 accidents, with accident data because of the influence Geometric recorded for 3 consecutive years the biggest contributor to accidents because of the influence of geometric is Abeli districts. This study aimed to determine the road which common point of accident-prone (Black spot) in Kecamatan Abeli as accident-prone areas in Kendari, analyze the influence of geometric and road environment against accidents on roads in Kecamatan Abeli, provide alternative treatment based on the causes of accidents on the location of the accident-prone points (blackspot) to reduce the rate of traffic accidents. From the results of a study of 6 curve the accident-prone locations, that the curve I, II, and VI is the “Black Spot” influenced by the amount and condition of traffic accidents, while at the curve II, a traffic accident that occurred also be caused by unsafe geometric where the type of geometric should be changed from Spiral-Spiral type to Spiral-Circle-Spiral type. This indicates geometric effect on the number of accidents.

  18. 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.

  19. Annoyance due to single and combined sound exposure from railway and road traffic.

    Science.gov (United States)

    Ohrström, Evy; Barregård, Lars; Andersson, Eva; Skånberg, Annbritt; Svensson, Helena; Angerheim, Pär

    2007-11-01

    Environmental noise is a growing and well recognized health problem. However, in many cases people are exposed not to a single noise source-for example, road, railway, or aircraft noise-but to a combination of noise exposures and there is only limited knowledge of the effects on health of exposure to combined noise sources. A socio-acoustic survey among 1953 persons aged 18-75 years was conducted in residential areas exposed to railway and road traffic noise with sound levels ranging from L(Aeq,24h) 45-72 dB in a municipality east of Gothenburg, Sweden. The objectives were to assess various adverse health effects, including annoyance, and to elucidate the impact of exposure to single and combined noise sources. In areas exposed to both railway and road traffic, the proportion annoyed by the total traffic sound environment (total annoyance) was significantly higher than in areas with one dominant noise source (rail or road traffic) with the same total sound exposure (L(Aeq,24h,tot)). This interaction effect was significant from 59 dB and increased gradually with higher sound levels. Effects of the total sound exposure should be considered in risk assessments and in noise mitigation activities.

  20. Cardiovascular effects of road traffic noise with adjustment for air pollution

    NARCIS (Netherlands)

    Kluizenaar, Y. de; Miedema, H.M.E.; Gansevoort, R.T.; Jong, P.E. de

    2007-01-01

    This study investigates cardiovascular effects of road traffic noise, accounting for air pollution. Noise and particulate matter (PM10) exposure was assessed for the City of Groningen sample (N = 40 856), and a selection of subjects that next visited the outpatient clinic (PREVEND cohort; N = 8 592)

  1. 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 ca

  2. 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.

  3. Epidemiology of road traffic incidents in Peru 1973-2008: incidence, mortality, and fatality.

    Directory of Open Access Journals (Sweden)

    J Jaime Miranda

    Full Text Available The epidemiological profile and trends of road traffic injuries (RTIs in Peru have not been well-defined, though this is a necessary step to address this significant public health problem in Peru. The objective of this study was to determine trends of incidence, mortality, and fatality of RTIs in Peru during 1973-2008, as well as their relationship to population trends such as economic growth.Secondary aggregated databases were used to estimate incidence, mortality and fatality rate ratios (IRRs of RTIs. These estimates were standardized to age groups and sex of the 2008 Peruvian population. Negative binomial regression and cubic spline curves were used for multivariable analysis. During the 35-year period there were 952,668 road traffic victims, injured or killed. The adjusted yearly incidence of RTIs increased by 3.59 (95% CI 2.43-5.31 on average. We did not observe any significant trends in the yearly mortality rate. The total adjusted yearly fatality rate decreased by 0.26 (95% CI 0.15-0.43, while among adults the fatality rate increased by 1.25 (95% CI 1.09-1.43. Models fitted with splines suggest that the incidence follows a bimodal curve and closely followed trends in the gross domestic product (GDP per capita.The significant increasing incidence of RTIs in Peru affirms their growing threat to public health. A substantial improvement of information systems for RTIs is needed to create a more accurate epidemiologic profile of RTIs in Peru. This approach can be of use in other similar low and middle-income settings to inform about the local challenges posed by RTIs.

  4. Epidemiology of Road Traffic Incidents in Peru 1973–2008: Incidence, Mortality, and Fatality

    Science.gov (United States)

    Miranda, J. Jaime; López-Rivera, Luis A.; Quistberg, D. Alex; Rosales-Mayor, Edmundo; Gianella, Camila; Paca-Palao, Ada; Luna, Diego; Huicho, Luis; Paca, Ada; Luis, López; Luna, Diego; Rosales, Edmundo; Best, Pablo; Best, Pablo; Egúsquiza, Miriam; Gianella, Camila; Lema, Claudia; Ludeña, Esperanza; Miranda, J. Jaime; Huicho, Luis

    2014-01-01

    Background The epidemiological profile and trends of road traffic injuries (RTIs) in Peru have not been well-defined, though this is a necessary step to address this significant public health problem in Peru. The objective of this study was to determine trends of incidence, mortality, and fatality of RTIs in Peru during 1973–2008, as well as their relationship to population trends such as economic growth. Methods and Findings Secondary aggregated databases were used to estimate incidence, mortality and fatality rate ratios (IRRs) of RTIs. These estimates were standardized to age groups and sex of the 2008 Peruvian population. Negative binomial regression and cubic spline curves were used for multivariable analysis. During the 35-year period there were 952,668 road traffic victims, injured or killed. The adjusted yearly incidence of RTIs increased by 3.59 (95% CI 2.43–5.31) on average. We did not observe any significant trends in the yearly mortality rate. The total adjusted yearly fatality rate decreased by 0.26 (95% CI 0.15–0.43), while among adults the fatality rate increased by 1.25 (95% CI 1.09–1.43). Models fitted with splines suggest that the incidence follows a bimodal curve and closely followed trends in the gross domestic product (GDP) per capita Conclusions The significant increasing incidence of RTIs in Peru affirms their growing threat to public health. A substantial improvement of information systems for RTIs is needed to create a more accurate epidemiologic profile of RTIs in Peru. This approach can be of use in other similar low and middle-income settings to inform about the local challenges posed by RTIs. PMID:24927195

  5. Percolation properties in a traffic model

    CERN Document Server

    Wang, Feilong; Xu, Xiaoyun; Wu, Ruoqian; Havlin, Shlomo

    2015-01-01

    As a dynamical complex system, traffic is characterized by a transition from free flow to congestions, which is mostly studied in highways. However, despite its importance in developing congestion mitigation strategies, the understanding of this common traffic phenomenon in a city-scale is still missing. An open question is how the traffic in the network collapses from a global efficient traffic to isolated local flows in small clusters, i.e. the question of traffic percolation. Here we study the traffic percolation properties on a lattice by simulation of an agent-based model for traffic. A critical traffic volume in this model distinguishes the free-state from congested state of traffic. Our results show that the threshold of traffic percolation decreases with increasing traffic volume and reaches a minimum value at the critical traffic volume. We show that this minimal threshold is the result of longest spatial correlation between traffic flows at the critical traffic volume. These findings may help to dev...

  6. Road traffic injuries among children and adolescents in Singapore - Who is at greatest risk?

    Science.gov (United States)

    Chong, Shu-Ling; Tyebally, Arif; Chew, Su Yah; Lim, Yang Chern; Feng, Xun Yi; Chin, Sock Teng; Lee, Lois K

    2017-03-01

    Pediatric road traffic injuries remain a significant cause of death and disability in many countries in Asia, despite the implementation of road traffic safety laws. We aim to describe the injuries, the use of restraints among road users, and risk factors associated with severe injuries for children in Singapore. We performed a retrospective chart review of road traffic injuries presenting to the only two pediatric tertiary care hospitals in Singapore, from January 2012 to April 2016. We included children injuries (death, urgent resuscitation and emergent surgery). We performed a multivariate logistic regression to determine risk factors associated with severe injury. There were 2468 patients during the study period. The mean age was 7.9 years (SD 4.7); 60.1% of road injuries involved motor vehicle occupants (1483/2468). Most bicyclist/motorcyclists were not wearing helmets (70.0%, 245/350) and 51.1% of motor vehicle passengers (758/1483) were not restrained. Compared to motor vehicle passengers, pedestrians (adjusted OR 2.38, 95% CI 1.41-3.99), bicyclists (adjusted OR 2.12, 95% CI 1.04-4.32) and motorcyclists (adjusted OR 6.09, 95% CI 2.04-18.24) were more likely to sustain severe injuries. Child pedestrians, bicyclists and motorcyclists are especially vulnerable for severe injures. Further injury prevention efforts must focus on the enforcement of legislation to protect these high-risk groups. Copyright © 2017 Elsevier Ltd. All rights reserved.

  7. Verification of road databases using multiple road models

    Science.gov (United States)

    Ziems, Marcel; Rottensteiner, Franz; Heipke, Christian

    2017-08-01

    In this paper a new approach for automatic road database verification based on remote sensing images is presented. In contrast to existing methods, the applicability of the new approach is not restricted to specific road types, context areas or geographic regions. This is achieved by combining several state-of-the-art road detection and road verification approaches that work well under different circumstances. Each one serves as an independent module representing a unique road model and a specific processing strategy. All modules provide independent solutions for the verification problem of each road object stored in the database in form of two probability distributions, the first one for the state of a database object (correct or incorrect), and a second one for the state of the underlying road model (applicable or not applicable). In accordance with the Dempster-Shafer Theory, both distributions are mapped to a new state space comprising the classes correct, incorrect and unknown. Statistical reasoning is applied to obtain the optimal state of a road object. A comparison with state-of-the-art road detection approaches using benchmark datasets shows that in general the proposed approach provides results with larger completeness. Additional experiments reveal that based on the proposed method a highly reliable semi-automatic approach for road data base verification can be designed.

  8. Study on serious road traffic injuries in the EU.

    NARCIS (Netherlands)

    Aarts, L.T. Commandeur, J.J.F. Welsh, R. Niesen, S. Lerner, M. Thomas, P. Bos, N. & Davidse, R.J.

    2016-01-01

    It is the ambition of the EU to reduce the number of killed and seriously injured on the roads over time. It has turned out that, especially in relation to serious injuries, there is still a significant knowledge gap on how to reduce these numbers in the EU. The Commission is therefore committed to

  9. Study on serious road traffic injuries in the EU.

    NARCIS (Netherlands)

    Aarts, L.T. Commandeur, J.J.F. Welsh, R. Niesen, S. Lerner, M. Thomas, P. Bos, N. & Davidse, R.J.

    2016-01-01

    It is the ambition of the EU to reduce the number of killed and seriously injured on the roads over time. It has turned out that, especially in relation to serious injuries, there is still a significant knowledge gap on how to reduce these numbers in the EU. The Commission is therefore committed to

  10. Distinguishing traffic modes in analysing road safety development.

    NARCIS (Netherlands)

    Stipdonk, H. & Berends, E.

    2008-01-01

    Changes in mobility influence road safety. The effects of safety measures may even be overshadowed by the effects of temporary mobility fluctuations. Usually mobility is corrected for by defining risk as the ratio between fatalities and mobility. Due to lack of sufficient data, mobility is often

  11. 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.

  12. The association between meteorological factors and road traffic injuries: a case analysis from Shantou city, China

    Science.gov (United States)

    Gao, Jinghong; Chen, Xiaojun; Woodward, Alistair; Liu, Xiaobo; Wu, Haixia; Lu, Yaogui; Li, Liping; Liu, Qiyong

    2016-11-01

    Few studies examined the associations of meteorological factors with road traffic injuries (RTIs). The purpose of the present study was to quantify the contributions of meteorological factors to RTI cases treated at a tertiary level hospital in Shantou city, China. A time-series diagram was employed to illustrate the time trends and seasonal variation of RTIs, and correlation analysis and multiple linear regression analysis were conducted to investigate the relationships between meteorological parameters and RTIs. RTIs followed a seasonal pattern as more cases occurred during summer and winter months. RTIs are positively correlated with temperature and sunshine duration, while negatively associated with wind speed. Temperature, sunshine hour and wind speed were included in the final linear model with regression coefficients of 0.65 (t = 2.36, P = 0.019), 2.23 (t = 2.72, P = 0.007) and -27.66 (t = -5.67, P traffic management system in the future.

  13. Structure Model of Urban Traffic System Evolution

    Institute of Scientific and Technical Information of China (English)

    JIANG Ke-jin; ZHANG Dian-ye

    2008-01-01

    A structure model of urban traffic system evolution is built based on the analysis of the factors influencing the system evolution and the hierarchy between the factors. Then the influencing degrees of the factors are quantificationally analyzed by DEMATE (decision making trial and evaluation laboratory). The analysis results indicate that the traffic mode structure which achieves the highest central degree is the dominant influencing factor of the urban traffic system evolution, and that economy development and the traffic poficy axe the second important factors that also affect the traffic mode structures. Furthermore, physical geography is a basic restriction to the urban traffic system evolution.

  14. Road Traffic Injuries Among Iranian Children and Adolescents: An Epidemiological Review

    Directory of Open Access Journals (Sweden)

    Salar Behzadnia

    2016-01-01

    Full Text Available Context: Road traffic injuries (RTIs are the leading cause of death and globally kill 1.2 million people every year and leave 20 - 50 million people injured and disabled. In Iran, traffic related fatalities are the leading cause of death among all inadvertent fatal injuries imposed on children under five. Herein, authors review the epidemiological studies performed on vehicle accidents among Iranian children and adolescents to improve the knowledge about these preventable events. Evidence Acquisition: International databases including PubMed, Google scholar, science direct Cochrane library, and national data bases such as scientific information database (SID were searched for terms; children, motor vehicle accident, road traffic injuries, Iran 2000 - 2015. Publication in Persian or English language related to the subject including Iranian children and adolescent's age groups were included. Among the 312 articles, 11 (two abstracts and nine full texts were selected. Nine full texts were reviewed. Results: From 22865 victims, about 3578 children and adolescents under 19 years old were identified. Males were more affected than females. Pedestrian injury with 43.66% was the most common case of road traffic injuries. Head trauma was the most common cause of injuries reported by eight of the reviewed articles. Most of the accidents occurred between 1:00 - 6:00 PM. Most of RTIs occurred in summer. Care by emergency medical services (EMS (29.14% was reported by five out of the nine reviewed article. Conclusions: Most of the road traffic injuries among Iranian children and adolescents are preventable using appropriate preventive strategies such as safety facilities, safe vehicles, and safe traffic behavior, and establishing comprehensive public education programs for older children and their parents.

  15. Correlates of road traffic accident in cases attending IIR hospital Kanpur

    Directory of Open Access Journals (Sweden)

    Shibajee Debbarma

    2016-03-01

    Full Text Available Introduction: Globally, road traffic accidents rank 8th among the leading causes of death. According to WHO data, deaths from road traffic injuries account for around 25% of all deaths from injury.Objective: To study the various correlates of road traffic accident in cases attending LLR Hospital, Kanpur.Materials and Methods: The study was conducted among road traffic accident cases attending Emergency Ward of Lala Lajpat Rai Hospital, Kanpur, Uttar Pradesh during the period of March-September, 2015. Data was recorded in a pre-designed and pre-tested questionnaire and analyzed using SPSS software version 16.0.Results: Out of 609 RTA cases, maximum number (54.19% were in 20-40 years age group. Most of the RTA victims were males (69.95% and majority were literate (90.97%. Maximum number (28.74% of RTA took place between 4.00 p.m-8.00 p.m. Maximum number (36.95% of RTA victims were two-wheeler drivers, followed by two-wheeler riders (26.60%. 16.60% of drivers of motorized vehicles had no driving license. 85.48% of motorized vehicle users were not using any protective gear (helmet, seat belt etc. at the time of accident.Conclusion: Young adults in the economically most productive age group were the commonest victims of RTA. There is need of creating awareness regarding traffic rules among general public and strict enforcement of traffic rules by the concerned authorities.

  16. 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.

  17. Benzodiazepine-like hypnotics and the associated risk of road traffic accidents.

    Science.gov (United States)

    Orriols, L; Philip, P; Moore, N; Castot, A; Gadegbeku, B; Delorme, B; Mallaret, M; Lagarde, E

    2011-04-01

    The aim of the study was to investigate the association between the use of benzodiazepine or benzodiazepine-like hypnotics and the risk of road traffic accidents. Data from three French national databases were matched: the health-care insurance database, police reports, and the police database of injury-related traffic accidents. A total of 72,685 drivers involved in injury-related road traffic accidents in France, from 2005 to 2008, were included in the study. The risk of being responsible for a traffic accident was higher in users of benzodiazepine hypnotics (odds ratio (OR) = 1.39 (1.08-1.79)) and in the 155 drivers to whom a dosage of more than one pill of zolpidem a day had been dispensed during the 5 months before the collision (OR = 2.46 (1.70-3.56)). No association was found between the use of zopiclone and risk of traffic accidents. Although this study did not find any association between the use of zolpidem as recommended and causation of traffic accidents, the potential risk related to possible abuse of the drug and risky driving behaviors should be further investigated. The results related to benzodiazepine hypnotics are consistent with those of previous studies.

  18. 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.

  19. Hazard based models for freeway traffic incident duration.

    Science.gov (United States)

    Tavassoli Hojati, Ahmad; Ferreira, Luis; Washington, Simon; Charles, Phil

    2013-03-01

    Assessing and prioritising cost-effective strategies to mitigate the impacts of traffic incidents and accidents on non-recurrent congestion on major roads represents a significant challenge for road network managers. This research examines the influence of numerous factors associated with incidents of various types on their duration. It presents a comprehensive traffic incident data mining and analysis by developing an incident duration model based on twelve months of incident data obtained from the Australian freeway network. Parametric accelerated failure time (AFT) survival models of incident duration were developed, including log-logistic, lognormal, and Weibul-considering both fixed and random parameters, as well as a Weibull model with gamma heterogeneity. The Weibull AFT models with random parameters were appropriate for modelling incident duration arising from crashes and hazards. A Weibull model with gamma heterogeneity was most suitable for modelling incident duration of stationary vehicles. Significant variables affecting incident duration include characteristics of the incidents (severity, type, towing requirements, etc.), and location, time of day, and traffic characteristics of the incident. Moreover, the findings reveal no significant effects of infrastructure and weather on incident duration. A significant and unique contribution of this paper is that the durations of each type of incident are uniquely different and respond to different factors. The results of this study are useful for traffic incident management agencies to implement strategies to reduce incident duration, leading to reduced congestion, secondary incidents, and the associated human and economic losses.

  20. Impact on air quality of measures to reduce CO2 emissions from road traffic in Basel, Rotterdam, Xi'an and Suzhou

    DEFF Research Database (Denmark)

    Keuken, Menno; Jonkers, Sander; Verhagen, Henk

    2014-01-01

    . The urban background follows this regional trend, while near busy road traffic, air pollution will remain elevated due to the considerable growth in traffic volume. A major constraint for modelling air quality in China is access to the input data required and lack of measurements at ground level....... Traffic related CO2 emissions may be reduced by up to 5% and 25%, respectively using the first and second scenarios. Air pollution in the Chinese cities is a factor 3 to 5 higher than in the European cities in 2010 and 2020-BAU. The impact of both CO2 reduction scenarios on air quality in 2020-BAU...... is limited. In Europe, due to implementation of stringent emission standards in all sectors, air quality is expected to improve at both the urban background and near busy road traffic. In China, the regional background is expected to improve for EC, stabilize for PM2.5 and PM10, and decrease for NO2...

  1. Prevalence and regional correlates of road traffic injury among Chinese urban residents: A 21-city population-based study.

    Science.gov (United States)

    Rockett, Ian R H; Jiang, Shuhan; Yang, Qian; Yang, Tingzhong; Yang, Xiaozhao Y; Peng, Sihui; Yu, Lingwei

    2017-08-18

    This study estimated the prevalence of road traffic injury among Chinese urban residents and examined individual and regional-level correlates. A cross-sectional multistage process was used to sample residents from 21 selected cities in China. Survey respondents reported their history of road traffic injury in the past 12 months through a community survey. Multilevel, multivariable logistic regression analysis was used to identify injury correlates. Based on a retrospective 12-month reporting window, road traffic injury prevalence among urban residents was 13.2%. Prevalence of road traffic injury, by type, was 8.7, 8.7, 8.5, and 7.7% in the automobile, bicycle, motorcycle, and pedestrian categories, respectively. Multilevel analysis showed that prevalence of road traffic injury was positively associated with minority status, income, and mental health disorder score at the individual level. Regionally, road traffic injury was associated with geographic location of residence and prevalence of mental health disorders. Both individual and regional-level variables were associated with road traffic injury among Chinese urban residents, a finding whose implications transcend wholesale imported generic solutions. This descriptive research demonstrates an urgent need for longitudinal studies across China on risk and protective factors, in order to inform injury etiology, surveillance, prevention, treatment, and evaluation.

  2. Induced traffic demand, driven by road infrastructure improvements, in Slovenia

    OpenAIRE

    Marn, Tatjana

    2016-01-01

    In this master thesis we confirmed the hypothesis that increased road capacity due to shorter travel times results in increased number of kilometers travelled by car. It deals with a theoretical basis of induced travel as well as with a review of numerous case studies in the international literature, evaluating the volume of induced travel. We have concluded that those studies that attributed an important impact to induced travel are numerous, more complex and they are of more recent date tha...

  3. 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...

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

    Science.gov (United States)

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

    2016-10-02

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

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

    NARCIS (Netherlands)

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

    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

  6. Car-following models of vehicular traffic

    Institute of Scientific and Technical Information of China (English)

    翁彦琳; 吴铁军

    2002-01-01

    The Car-following model is a kind of microscopic simulation model for vehicular traffic, which describe the one-by-one following behaviors of vehides in the same traffic lane. As a common traffic phenomenon, following behavior is of great importance in the micro-study of intelligent traffic control.Compared with other traffic-flow models, car-following model embodies the human factors and feflects the real traffic sit-uation in a better way. This paper gives a systematic review of the development and actuality of car-following models by introducing and analyzing in detail the advantages and disavantages of GHR model, OV model,CA model and fuzzy-logic model. In addition, local stability and asymptotic stability of car-following models are discussed in this paper.

  7. Optimizing transport logistics taking into account the state of roads and road traffic

    Directory of Open Access Journals (Sweden)

    Shikul’skaya Ol’ga Mikhaylovna

    2015-12-01

    Full Text Available The choice and use of rational routes at strict observance of deliveries terms help to achieve not only minimization of operational expenses, but also to reduce commodity and production stocks in warehouses by 1,5...2 times. Therefore special relevance is gained by the works allowing precisely calculating the volumes of a cargo transportation, to count the quantity of transport units necessary for providing cargo flow, to define the rational routes of transportation, and also to reduce total costs of transportation. On the basis of the analysis of the known mathematical methods applied in transport logistics, the authors drew a conclusion that the route of freight delivery is estimated according to the distance passed by the vehicle. However the time of freight delivery depends not only on distance, but also on a set of other factors, such as vehicle type, road capacity, intensity of transport stream, weather conditions, season and others. For taking note of additional factors when optimizing a freight delivery route the method of analogy and similarity is used by the authors. The transportation parameters were estimated by analogy with an electric chain. For this purpose the authors entered the new concepts “fictitious distance” and “conductivity of the road”. The mathematical model allowing optimizing the organization of freight delivery taking into account not only distances, but also the probable speed of the vehicle movement depending on the road quality, intensity of transport stream and weather conditions is developed. Further development of the system of decision-making support while choosing the optimum route of cargo delivery is planned.

  8. How Travel Demand Affects Detection of Non-Recurrent Traffic Congestion on Urban Road Networks

    Science.gov (United States)

    Anbaroglu, B.; Heydecker, B.; Cheng, T.

    2016-06-01

    Occurrence of non-recurrent traffic congestion hinders the economic activity of a city, as travellers could miss appointments or be late for work or important meetings. Similarly, for shippers, unexpected delays may disrupt just-in-time delivery and manufacturing processes, which could lose them payment. Consequently, research on non-recurrent congestion detection on urban road networks has recently gained attention. By analysing large amounts of traffic data collected on a daily basis, traffic operation centres can improve their methods to detect non-recurrent congestion rapidly and then revise their existing plans to mitigate its effects. Space-time clusters of high link journey time estimates correspond to non-recurrent congestion events. Existing research, however, has not considered the effect of travel demand on the effectiveness of non-recurrent congestion detection methods. Therefore, this paper investigates how travel demand affects detection of non-recurrent traffic congestion detection on urban road networks. Travel demand has been classified into three categories as low, normal and high. The experiments are carried out on London's urban road network, and the results demonstrate the necessity to adjust the relative importance of the component evaluation criteria depending on the travel demand level.

  9. HOW TRAVEL DEMAND AFFECTS DETECTION OF NON-RECURRENT TRAFFIC CONGESTION ON URBAN ROAD NETWORKS

    Directory of Open Access Journals (Sweden)

    B. Anbaroglu

    2016-06-01

    Full Text Available Occurrence of non-recurrent traffic congestion hinders the economic activity of a city, as travellers could miss appointments or be late for work or important meetings. Similarly, for shippers, unexpected delays may disrupt just-in-time delivery and manufacturing processes, which could lose them payment. Consequently, research on non-recurrent congestion detection on urban road networks has recently gained attention. By analysing large amounts of traffic data collected on a daily basis, traffic operation centres can improve their methods to detect non-recurrent congestion rapidly and then revise their existing plans to mitigate its effects. Space-time clusters of high link journey time estimates correspond to non-recurrent congestion events. Existing research, however, has not considered the effect of travel demand on the effectiveness of non-recurrent congestion detection methods. Therefore, this paper investigates how travel demand affects detection of non-recurrent traffic congestion detection on urban road networks. Travel demand has been classified into three categories as low, normal and high. The experiments are carried out on London’s urban road network, and the results demonstrate the necessity to adjust the relative importance of the component evaluation criteria depending on the travel demand level.

  10. Car-following models of vehicular traffic

    Institute of Scientific and Technical Information of China (English)

    翁彦琳; 吴铁军

    2002-01-01

    The Car-following models is a kind of microscopic simulation model f or vehicular traffic, which describe the one-by-one following behaviors of v ehicles in the same traffic lane. As a common traffic phenomenon, following behavior is of great importance in the micro-study of intelligent traffic control. Compared with other traffic-flow models, car-following model embodies the human factors a nd reflects the real traffic situation in a better way. This paper gives a syste matic review of the development and actuality of car-following models by introd u cing and analyzing in detail the advantages and disadvantages of GHR model, OV m odel, CA model and fuzzy-logic model. In addition, local stability and asymptot ic stability of car-following models are discussed in this paper.

  11. Investigation of the impact of low cost traffic engineering measures on road safety in urban areas.

    Science.gov (United States)

    Yannis, George; Kondyli, Alexandra; Georgopoulou, Xenia

    2014-01-01

    This paper investigates the impact of low cost traffic engineering measures (LCTEMs) on the improvement of road safety in urban areas. A number of such measures were considered, such as speed humps, woonerfs, raised intersections and other traffic calming measures, which have been implemented on one-way, one-lane roads in the Municipality of Neo Psychiko in the Greater Athens Area. Data were analysed using the before-and-after safety analysis methodology with large control group. The selected control group comprised of two Municipalities in the Athens Greater Area, which present similar road network and land use characteristics with the area considered. The application of the methodology showed that the total number of crashes presented a statistically significant reduction, which can be possibly attributed to the introduction of LCTEMs. This reduction concerns passenger cars and single-vehicle crashes and is possibly due to the behavioural improvement of drivers of 25 years old or more. The results of this research are very useful for the identification of the appropriate low cost traffic engineering countermeasures for road safety problems in urban areas.

  12. A Multipath Connection Model for Traffic Matrices

    Directory of Open Access Journals (Sweden)

    Mr. M. V. Prabhakaran

    2015-02-01

    Full Text Available Peer-to-Peer (P2P applications have witnessed an increasing popularity in recent years, which brings new challenges to network management and traffic engineering (TE. As basic input information, P2P traffic matrices are of significant importance for TE. Because of the excessively high cost of direct measurement. In this paper,A multipath connection model for traffic matrices in operational networks. Media files can share the peer to peer, the localization ratio of peer to peer traffic. This evaluates its performance using traffic traces collected from both the real peer to peer video-on-demand and file-sharing applications. The estimation of the general traffic matrices (TM then used for sending the media file without traffic. Share the media file, source to destination traffic is not occur. So it give high performance and short time process.

  13. Scalar conservation laws with moving constraints arising in traffic flow modeling: An existence result

    Science.gov (United States)

    Delle Monache, M. L.; Goatin, P.

    2014-12-01

    We consider a strongly coupled PDE-ODE system that describes the influence of a slow and large vehicle on road traffic. The model consists of a scalar conservation law accounting for the main traffic evolution, while the trajectory of the slower vehicle is given by an ODE depending on the downstream traffic density. The moving constraint is expressed by an inequality on the flux, which models the bottleneck created in the road by the presence of the slower vehicle. We prove the existence of solutions to the Cauchy problem for initial data of bounded variation.

  14. Prescription medicines and the risk of road traffic crashes: a French registry-based study.

    Directory of Open Access Journals (Sweden)

    Ludivine Orriols

    Full Text Available BACKGROUND: In recent decades, increased attention has been focused on the impact of disabilities and medicinal drug use on road safety. The aim of our study was to investigate the association between prescription medicines and the risk of road traffic crashes, and estimate the attributable fraction. METHODS AND FINDINGS: We extracted and matched data from three French nationwide databases: the national health care insurance database, police reports, and the national police database of injurious crashes. Drivers identified by their national health care number involved in an injurious crash in France, between July 2005 and May 2008, were included in the study. Medicines were grouped according to the four risk levels of the French classification system (from 0 [no risk] to 3 [high risk]. We included 72,685 drivers involved in injurious crashes. Users of level 2 (odds ratio [OR]  = 1.31 [1.24-1.40] and level 3 (OR  = 1.25 [1.12-1.40] prescription medicines were at higher risk of being responsible for a crash. The association remained after adjustment for the presence of a long-term chronic disease. The fraction of road traffic crashes attributable to levels 2 and 3 medications was 3.3% [2.7%-3.9%]. A within-person case-crossover analysis showed that drivers were more likely to be exposed to level 3 medications on the crash day than on a control day, 30 days earlier (OR  = 1.15 [1.05-1.27]. CONCLUSION: The use of prescription medicines is associated with a substantial number of road traffic crashes in France. In light of the results, warning messages appear to be relevant for level 2 and 3 medications and questionable for level 1 medications. A follow-up study is needed to evaluate the impact of the warning labeling system on road traffic crash prevention.

  15. Noise Impact and Improvement on Indoors Acoustic Comfort for the Building Adjacent to Heavy Traffic Road

    Institute of Scientific and Technical Information of China (English)

    Li Zhisheng; Li Dongmei; Mei Sheng; Zhang Guoqiang; Liu Jianlong

    2007-01-01

    A good acoustic environment is absolutely essential to maintaining a high level satisfaction and moral health among residents. Noise and other boresome sounds come from both indoor and outdoor sources. For the residential buildings adjacent to heavy traffic roads, outdoors traffic noise is the main source that affects indoor acoustic quality and health. Ventilation and outdoor noise prevention become a pair of contradictions for the residents in China nowadays for those buildings adjacent to heavy traffic roads. It is investigated that traffic noise emission is mainly constituted by the motors of trucks, buses and motorcycles as well as brake. In this paper, two methods of traffic noise reduction on the indoor sound environment and comfort are carried out to study and compare the residential buildings adjacent to heavy traffic roadway in a city. One is to install noise barriers on the two sides of the roadway, which consist of sound-proof glass and plastic materials. The effect of sound-insulation of this method is heavily dependent on the relative distance between the noise barrier and indoors. A reduction of sound with an average pressure level of 2-15dB is achieved on the places behind and under the noise barrier. However, for the equivalent of noise barrier height,the noise reduction effect is little. As for the places of higher than the noise barrier, the traffic noise will be even strengthened by 3-7 dB. Noise increment can be seen at the points of distance farther than 15m and height more than noise barrier; the noise reduction effect is not satisfactory or even worsened. In addition,not every location is appropriate to install the noise barrier along the heavy traffic roads. The other method of noise reduction for the buildings adjacent to heavy traffic is to install the airproof and soundproof windows, which is the conversion from natural ventilation to mechanical ventilation. A reduction of sound with an average pressure level of 5dB to 17dB can be

  16. A refined and dynamic cellular automaton model for pedestrian-vehicle mixed traffic flow

    Science.gov (United States)

    Liu, Mianfang; Xiong, Shengwu

    2016-12-01

    Mixed traffic flow sharing the “same lane” and having no discipline on road is a common phenomenon in the developing countries. For example, motorized vehicles (m-vehicles) and nonmotorized vehicles (nm-vehicles) may share the m-vehicle lane or nm-vehicle lane and pedestrians may share the nm-vehicle lane. Simulating pedestrian-vehicle mixed traffic flow consisting of three kinds of traffic objects: m-vehicles, nm-vehicles and pedestrians, can be a challenge because there are some erratic drivers or pedestrians who fail to follow the lane disciplines. In the paper, we investigate various moving and interactive behavior associated with mixed traffic flow, such as lateral drift including illegal lane-changing and transverse crossing different lanes, overtaking and forward movement, and propose some new moving and interactive rules for pedestrian-vehicle mixed traffic flow based on a refined and dynamic cellular automaton (CA) model. Simulation results indicate that the proposed model can be used to investigate the traffic flow characteristic in a mixed traffic flow system and corresponding complicated traffic problems, such as, the moving characteristics of different traffic objects, interaction phenomenon between different traffic objects, traffic jam, traffic conflict, etc., which are consistent with the actual mixed traffic system. Therefore, the proposed model provides a solid foundation for the management, planning and evacuation of the mixed traffic flow.