Research on Influencing Spreading Model of Road Congestion Based on Traffic Flow and Cellular Automata Approaches

2012 ◽  
Vol 605-607 ◽  
pp. 1761-1764
Author(s):  
Yu Zhuo Men ◽  
Hai Bo Yu ◽  
Xian Sheng Li ◽  
Hua Wang ◽  
Liang Xu
Keyword(s):  
Traffic Control ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Related Factors ◽  
Evaluation Indexes ◽  
Urban Road ◽  
Spreading Model ◽  
Road Congestion ◽  
Emergency Measures

The quantifying model of influences from urban road traffic accidents is built in this paper, in order to research influencing coverage and effects from road traffic accidents; and the reasonable evaluation indexes are adopted based on the model to quantify influencing coverage and effects from road traffic accidents and determine related factors with influencing coverage and effects from road traffic accidents, also the model is contrasted and verified by actual cases; it is shown from the results that the queue length, traffic recovery time and travel time error are in compliance with the requirements, indicating that the simulation results of this model is feasible and effective, with a certain reliability, and provides a theoretical basis for the evaluation of the effectiveness of traffic emergency measures and implementation of traffic control.

scholarly journals An overview on pedestrians involved in traffic accidents in Latvia: Years 2010-2014

2018 ◽  
Vol 40 ◽  
pp. 01004 ◽  
Author(s):  
A. Bukova-Zideluna ◽  
A. Villerusa ◽  
A. Lama
Keyword(s):  
Injury Risk ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Capital City ◽  
Winter Period ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Related Factors ◽  
The Road ◽  
Adverse Weather

Latvian national road accident statistics shows that for the vulnerable road users’ situation is critical, since pedestrians are involved in more than a quarter of road traffic accidents. This paper gives an analysis on pedestrians involved in road traffic accidents based on the road safety accident database in Latvia for the years 2010–2014. The total number of cases does not change significantly, however there has been an increase in pedestrian fatality rates over the period. From the total number of traffic accidents with pedestrians involved 92.4% had injuries, 6.8% were lethal cases and others didn't suffer from injuries. Out of 342 fatalities 37.7% occurred during the winter period, 56.1% in adverse weather (overcast, fog, rain or snow), 69.9% during twilight or darkness and 26.9% on weekends. Out of all accidents 55.3% occurred in the capital city Riga, but fatality rate was higher on main state roads. 8.1% of the total number of pedestrians involved in road traffic accidents was found to have alcohol in their blood right after the road traffic accident. Fatality rate was higher for those with exceeded BAC. Pedestrian injury risk analysis was associated with demographical and traffic-related factors, urbanization, visibility and seasonal patterns.

scholarly journals Count time series models for road traffic accidents in Tanzania Mainland

1970 ◽  
Vol 47 (2) ◽  
pp. 495-506
Author(s):  
Amina S Msengwa ◽  
Florence D Ngari
Keyword(s):  
Traffic Accidents ◽  
Negative Binomial ◽  
Road Traffic ◽  
Information Criterion ◽  
Dar Es Salaam ◽  
Autoregressive Models ◽  
Ratio Test ◽  
Time Varying ◽  
Road Traffic Accidents ◽  
Related Factors

A pairwise analysis was conducted to assess the trends and factors associated with road traffic accidents in Tanzania. The Poisson and Negative Binomial Autoregressive Models were used to extend log linear functions by accounting time-varying components. A total of 85,514 road traffic accidents in Tanzania mainland that occurred from 2012 to 2017 were extracted from Tanzania Police Office records. Eleven factors were grouped into a human, vehicle, physical/environmental and pedestrian-related factors. The Likelihood ratio test, Akaike Information Criterion, Bayesian Information Criterion and residual ACF plots were used to evaluate the performance of the models in Dar es Salaam and other combined regions. The trend analysis indicated a declining pattern in all factors and human-related factors appeared higher than the other three factors. The highest number of road traffic accidents was observed in Dar es Salaam Region compared to other combined regions. The models, including its past values and time-varying factors, were in favour-of other models. In both, Dar es Salaam and other combined regions, non-linear pattern and Negative Binomial Autoregressive Models fitted the data well. The implementation of collective actions in recent years seems positive on road traffic accidents. Nevertheless, more emphasis is needed to monitor trends on the number of accidents and related fatalities. Keywords: Road Traffic Accidents, Poisson, Negative binomial, Autoregressive Models, Tanzania.

Road Traffic Accidents in India

2016 ◽  
Vol 1 (2) ◽  
pp. 57-64 ◽  
Author(s):  
SM Sharma
Keyword(s):  
Traffic Control ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Public Awareness ◽  
Drunk Driving ◽  
Working Hours ◽  
Road Traffic Accidents ◽  
Public Transport System ◽  
Activity Loss ◽  
The One

ABSTRACT Road traffic accidents (RTAs) result in tremendous loss of lives and prolonged morbidity besides causing sufferings to relatives and friends. Loss of lives and useful working hours inflict heavy damage to a nation's economic activity, loss of breadwinner to family, and deprivation of family bond of love and security. Increasing traffic accidents and subsequent trauma creates heavy burden on our scarce funds and already overburdened hospitals. Road traffic accidents are one of the major causes of death and illness which is preventable. There is tremendous rise in RTAs due to increase in vehicular volume on our roads, incredible speeding of the vehicles, poor driving skills, drunk driving, bad roads, poor traffic control, and lack of public awareness, rampant indiscipline, incompetent authorities and lack of implementation of existing laws to tackle the menace of disrespect to law and rules. The solution to the problem lies in reducing the volume of traffic on roads by instituting efficient public transport system all over, like the one prevalent in advanced nations of the world, honest road engineering, universal education and training of all citizens in driving, creating awareness about road safety precautions, enforcing strict punishments upon offenders indulging in drunk driving and crossing the speed limits, and regulating control of traffic on highways and accident-prone areas. How to cite this article Sharma SM. Road Traffic Accidents in India. Int J Adv Integ Med Sci 2016;1(2):57-64.

scholarly journals Feature Recognition of Urban Road Traffic Accidents Based on GA-XGBoost in the Context of Big Data

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 170106-170115 ◽  
Author(s):  
Yi Qu ◽  
Zhengkui Lin ◽  
Honglei Li ◽  
Xiaonan Zhang
Keyword(s):  
Big Data ◽  
Traffic Accidents ◽  
Feature Recognition ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Urban Road

Risk factors in urban road traffic accidents

2006 ◽  
Vol 37 (1) ◽  
pp. 93-98 ◽  
Author(s):  
Ariana Vorko-Jović ◽  
Josipa Kern ◽  
Zrinka Biloglav
Keyword(s):  
Risk Factors ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Urban Road

scholarly journals Public Health Profile of Road Traffic Accidents in Kosovo 2010-2015

2017 ◽  
Vol 5 (7) ◽  
pp. 1036-1041 ◽  
Author(s):  
Naser Ramadani ◽  
Valbona Zhjeqi ◽  
Merita Berisha ◽  
Rina Hoxha ◽  
Ilir Begolli ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Climatic Conditions ◽  
Road Traffic Accidents ◽  
Contributing Factors ◽  
Urban Road ◽  
National Police ◽  
Descriptive Method

AIM: To determine the characteristics of the Socio-medical profile of road traffic accidents in Kosovo, between 2010 and 2015 year.STUDY DESIGN: Retrospective study.METHODS: A descriptive method based on the database of road traffic accidents from the National Police of Kosovo.RESULTS: In Kosovo for the period 2010-2015, on average, the yearly number of road traffic accidents is 18437 with mortality rate 7.4 per 100000 and lethality of 1.5%. The highest number of fatal cases are drivers and above 19 years old with more than 80%. Among injured significantly highest percentage is among passengers for all years and above 19 years old. Road traffic accident with a vehicle occurs most frequently, with approximately over 70%, mostly on dry road 72.9% and clear weather 71.1%. The driver is the contributing factors of road traffic accidents on average 99.3% whereas climatic conditions only 0.5%, with over 50% of crashes occurring in urban road 56.2%, mostly during Monday 16.0% and in the afternoon rush hours between 14.00-18.00 with 31.0%.CONCLUSIONS: There is a slight decrease in the mortality rate of 0.1‰ and lethality rate of 0.1% each year, whereas there is an increase of 21.5‰ for traumatism rate for each year.

scholarly journals Technology and Quality of Road Construction Projects in Kenya: A focus on Contractor’s Exposure to Technology in Machakos Sub-County

2021 ◽  
Vol 6 (1) ◽  
pp. 18-25
Author(s):  
Caroline Wachuka Muriithi ◽  
Mary Nyawira Mwenda
Keyword(s):  
Sample Size ◽  
Construction Projects ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Construction ◽  
Eastern Region ◽  
Theory Approach ◽  
Road Traffic Accidents ◽  
Related Factors

Road traffic accidents are a menace to a developing country such as Kenya. The National Transport and Safety Authority website records over 57,171 cases of road traffic accidents NTSA [15]. Adopting the root cause analysis technique, it is crucial to determine and to solve the cause of a problem in order to have a permanent solution for it. This study focuses on road construction projects which are the actual onset of road traffic accidents. Occurrences of road traffic accidents are dependent on various factors ranging from the ideology of road construction projects to the operation of a sound or unsound vehicle on the road. Numerous studies have been done to research on the factors influencing quality of road construction projects but little has been done to determine how contractors related factors affect quality of road construction projects. Due to the research gap in the pool of knowledge, this study is aimed at identifying and analyzing how contractor’s exposure to technology influences the quality of road construction projects. The study area that was analyzed in this project was Machakos sub-county situated in the Lower Eastern region of Kenya. The study was guided by the objective: to establish influence of contractor’s exposure to technology on quality of road construction projects. This study applied Systems theory approach. A descriptive survey research design and a cross-sectional approach was used to collect quantitative data by use of close-ended questionnaires. The total target population was 223and a calculative formula adopted from Kothari [8] was used to acquire a sample size of 141 respondents. Stratified random sampling technique was applied on the sample size of 141 respondents to classify them into homogenous groups. Questionnaires were used as the main data collection instruments and were issued to the respondents. The gathered data was analyzed using descriptive and inferential statistics with the data being presented descriptively using frequencies and percentages. Pearson’s product moment correlation procedure method was used to analyze the inferential statistic data and the results presented. In this study Spearman’s was used to measure the degree of association between the independent and dependent variables. On the influence of contractor’s exposure to technology, a composite mean of 3.74, standard deviation of 1.028 and a strong correlation value of 0.373 were achieved. The survey elicit conclusion was that quality of road construction projects in Machakos Sub-County was influenced by the independent variable.

Design and implementation of typical dynamic traffic scenes based on virtual reality technology

2021 ◽  
pp. 1-7
Author(s):  
Zhanjun Si ◽  
Xinhui Xie ◽  
Donghan Zhang
Keyword(s):  
Virtual Reality ◽  
Traffic Accidents ◽  
Driving Simulator ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Dynamic Scene ◽  
Operating Environment ◽  
Dynamic Traffic ◽  
Virtual Reality Technology ◽  
Urban Road

It is of great significance to simulate dangerous traffic environment with vehicle driving simulator for reducing and preventing road traffic accidents. Firstly, a typical dynamic traffic scene was obtained and designed by using genetic algorithm, then a chaotic algorithm based on computer virtual reality scene was proposed. Finally, a dynamic scene in urban road scene was taken as an example, of which the simulation was designed and implemented by using virtual reality technology. The results show that the virtual operating environment of driver micro-traffic simulation can be effectively constructed with the combination of virtual reality technology and dynamic traffic scene.

The Analysis of Emergency Rescue System for Urban Road Traffic Accidents

2014 ◽  
Vol 505-506 ◽  
pp. 1080-1083
Author(s):  
Bo Yang ◽  
Feng Ming Zhou
Keyword(s):  
Rapid Growth ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Car Ownership ◽  
Road Traffic Accidents ◽  
Urban Road ◽  
Emergency Rescue ◽  
New Ideas ◽  
Rescue System

With the rapid growth of car ownership, our travel is becoming more convenient; it also leads to a large number of road traffic accidents. The patterns of existing emergency rescue system for urban road traffic accidents are so conventional and slowly respond. This article focuses on the study of contingency mechanism and emergency rescue system for the rescue departments after the accidents, and puts forward new ideas for preventing urban road traffic accidents.

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