Identification of Urban Traffic Accident Hotspot Zones Using GIS: A Case Study of Dhaka Metropolitan Area

2020 ◽  
Vol 3 (1) ◽  
pp. 36-42
Author(s):  
Arif Ahmad ◽  
Khandaker Hossain ◽  
Mallik Hossain

The issue of traffic safety becomes increasingly prominent and has attracted widespread attention from researchers and policy makers. Dhaka, the capital of Bangladesh, is the most vulnerable city both in terms of total number of accidents and accident rates. GIS technology has been widely applied to urban traffic information and safety management. This paper presents a geospatial analysis to identify the road traffic accident (RTA) hotspot zones in Dhaka Metropolitan Area (DMA). ‘Spatial analysis’ and ‘spatial statistics tools’ are used to examine spatial patterns of accident data. A systematic comparison of identified hotspot zones using Local Moran’s-I Statistic, Getis-Ord Gi* statistic and Kernel Density Estimation (KDE) carried out to examine spatial patterns of high cluster of traffic accidents. These analyses revealed a total 22 hotspot zones in DMA during the years 2010-2012. This kind of research would help generating new parameters for reducing road traffic accidents in Dhaka Metropolitan Area.

2021 ◽  
Vol 5 (12(81)) ◽  
pp. 26-32
Author(s):  
V. Volkov ◽  
E. Nabatnikova ◽  
E. Lebedev

The groups of participants of the pedestrian and automobile flows, whose actions cause the greatest danger to the occurrence of conflict situations in the zone of unregulated transition, are identified. The factors determining the likelihood of a traffic accident at an unregulated transition are systematized, for which probability estimates of the occurrence of road traffic accidents are calculated. As an estimated parameter, the hazard coefficient of a conflict point of an unregulated transition is proposed, which is determined by the ratio of the probability of a traffic accident in the real-time hourly interval to the average annual probability of a traffic accident reduced to the hourly interval. The dependences of the hazard ratio of an unregulated transition are established on the most significant factors: the speed mode of transport in the area before the transition and the state of the road surface.


2011 ◽  
Vol 97-98 ◽  
pp. 1042-1045 ◽  
Author(s):  
Chuan Jiao Sun ◽  
Ru Yue Bai ◽  
Yuan Yuan Yu

9238 traffic accidents data are collected in rural road of China. Through the data analysis, the main causes of rural road traffic accident are presented. The external environment, the participant features, road features and accident characteristics are involved. The regression analysis in SPSS is applied to find the relationship between the accident features. Overall, the rural road traffic accident was mainly due to in the rural area there are mass travel mode, lower grade roads, poorer safety awareness of traveler and the road is lack of traffic safety facilities and so on.


Transport ◽  
2016 ◽  
Vol 33 (1) ◽  
pp. 216-222 ◽  
Author(s):  
Marina Zanne ◽  
Aleš Groznik

Road traffic accident is an accident on a public road in which at least one moving vehicle has been involved and material damage or injury or death has occurred. Traffic accidents occur for various reasons, with one of them being the transport infrastructure and next the condition of traffic environment. Motorways are considered to be the safest roads, which have initially been planned as dedicated roads intended to be travelled only by personal cars, but the evolution of modal split of freight transport in Europe is causing the heterogeneity of traffic flows on these roads, which consequently affects the traffic safety. The aim of this paper is to explore the effects of changing volume and structure of traffic flows on road safety on Slovenian motorways. After the exhaustive analysis of past data, the paper provides different models for forecasting traffic safety on Slovenian motorways.


2019 ◽  
Vol 272 ◽  
pp. 01035 ◽  
Author(s):  
Jiajia Li ◽  
Jie He ◽  
Ziyang Liu ◽  
Hao Zhang ◽  
Chen Zhang

At present, China is in a period of steady development of highways. At the same time, traffic safety issues are becoming increasingly serious. Data mining technology is an effective method for analysing traffic accidents. In-depth information mining of traffic accident data is conducive to accident prevention and traffic safety management. Based on the data of Wenli highway traffic accidents from 2006 to 2013, this study selected factors including time factor, linear factor and driver characteristics as research indicators, and established the decision tree using C4.5 algorithm in WEKA to explore the impact of various factors on the accident. According to the degree of contribution of each variable to the classification effect of the model, various modes affecting the type of the accident are obtained and the overall prediction accuracy is about 80%.


2021 ◽  
Vol 2021 (24) ◽  
pp. 134-148
Author(s):  
Evgen Minenko ◽  
◽  
Olexandr Pyna ◽  
Olga Belenchuk ◽  
Tetyana Bondar ◽  
...  

Introduction. Undesirable consequences of fast increase of the vehicle fleet are an increase in the level of accident rate and the number of deaths and injuries in traffic accidents (hereinafter accidents). The positive experience of other countries shows that objectives indicators for reducing the number of traffic accident victims by implementing reasonable measures to eliminate the dominant causes of accidents is the most effective way to achieve the desired result in improving traffic safety. Problem statement. Considering the enormous economic lost caused by traffic accidents, improving of traffic safety has been a priority in the policies of many countries around the world in recent decades. In this regard, the international community pays considerable attention to the development of targeted programs and implementation of traffic safety measures directed at preventing the road traffic injuries. In particular, on March 2, 2010, the UN General Assembly adopted Resolution No. 64/255 «Improving Traffic Safety Worldwide», which proclaimed the 2011–2020 «Decade of Traffic Safety Actions» to reduce deaths from injuries sustained as a result of traffic accident — by 50%. Ukraine, through which seven international transport corridors run [1], did not stay away from solving the common problem and joined in 2011 to the UN initiative regarding reducing the death rate due to traffic accidents by at least 30 % [2]. For evaluation of the achieved result, it is important to analyze the accident statistics and determine whether the planned results were achieved through the implementation of planned measures to improve traffic safety. Purpose. The article considers the dynamics of accident rate and the number of traffic accidents victims in Ukraine for the period 2011–2020, as well as analyzes the main causes of traffic accidents on the public roads, including roads of state importance, to evaluate the outcome of the Decade of Traffic Safety Actions and providing the recommendations for further decreasing of mortality on domestic roads. Materials and methods. The study used the method of statistical processing of data on the number of accidents and their victims in Ukraine and the method of systematic analysis of risk factors that contributed to the accidents. Results. It is determined that the total number of fatalities in traffic accidents for the period 2011–2020 decreased in Ukraine by 27.8 %, and on the public roads — by 44.0 %. However, considering that since 2014 there are no data on traffic accidents in Autonomous Republic of Crimea and partly in Donetsk and Luhansk regions, the indicator of decreasing of deaths per 100 traffic accidents and the result shows more modest achievements: in Ukraine it was possible to reduce deaths by 100 traffic accidents per 100 14 %, and on the public roads — only 5.4 %. Conclusions. Accident rate analysis provides an information basis for understanding the scale of the problem of traffic injuries, evaluating the results of implemented measures to improve traffic safety, the dynamics of positive or negative developments, and allows to plan reasonably the measures to improve road conditions to reduce mortality on roads.


2012 ◽  
Vol 18 (5) ◽  
pp. 761-771 ◽  
Author(s):  
Olegas Prentkovskis ◽  
Jurijus Tretjakovas ◽  
Audrius Švedas ◽  
Andrii Bieliatynskyi ◽  
Alfonsas Daniunas ◽  
...  

Traffic safety mainly depends on vehicles, pedestrians and road infrastructure. On highways, the heaviest traffic accidents are associated with crossing of the dividing strips by a vehicle and its collision with side obstacles on the junction or road bridge exit. These accidents often occur, when vehicles, running at a high speed, collide with obstacles, which may cause human injuries. In such cases, the probability of fatalities or heavy injuries to people in a traffic accident is very high. Road traffic infrastructure plays an important part in ensuring traffic safety on urban roads and highways. It includes guardrails, speed bumps, pedestrian safety islands, traffic regulation systems, road information infrastructure, etc. Guardrail (known as civil engineering element and traffic safety element) installation may help to reduce the number of human injuries and fatalities caused by traffic accidents. Guardrails of various types are installed on the roads of Lithuania and Ukraine. Guardrails, consisting of metal posts of the profile Σ and a protective beam of the profile W, i.e. ‘double-wave guardrails’, are among the most commonly used ones. The authors of this paper present the analysis of the deformation state of a double-wave guardrail (describing the strains and stresses of its elements).


2020 ◽  
Vol 325 ◽  
pp. 01005
Author(s):  
Hongge Zhu ◽  
Yuntong Zhou ◽  
Yanyan Chen

The problem of road traffic safety has been widely concerned in recent years. The identification of traffic accident hot spots can effectively improve the road traffic safety and let the traffic managers formulate targeted improvement measures and suggestions. The traditional identification method of accident hot spot does not consider the spatial attribute of the accident, so it has some limitations in the identification of traffic accident hot area. Therefore, this paper first proposes a method to identify the hot spot of traffic accidents based on geographic information system (GIS). The mathematical model and machine learning model are used to explore the correlation between traffic accidents and spatial characteristics from macro and micro aspects. Finally, taking Beijing as an example, the feasibility of the research method is proved by using the accident data of Beijing in 2015 and the geographic information of Beijing. The research results of this paper can realize the spatial effective transformation of accident records, comprehensively consider the micro and macro attributes of the accident itself, realize the automatic and efficient identification of the accident hot spot. In addition, the causality analysis results between each attribute and the distribution of accident hot spots can help decision makers to formulate safety and sustainable road strategies.


2020 ◽  
Author(s):  
Sizhuo Wang ◽  
Wei Li ◽  
Chunyu Kong

Abstract With the increase of per capita car ownership, traffic accidents frequently occur, in which rear-end collision accounts for 30% to 40% of the total accidents; thus, rear-end collision has become the primary factor of traffic environment deterioration. Therefore, how to improve road traffic safety and reduce the probability of rear-end collision has become a major social concern. In this study, based on the safety pre-warning algorithm, a vehicle collision model was built, and a vehicle anti-collision warning system was established. The calculation was performed based on the sample data to obtain the prediction value of vehicle collision time under different driving speeds, so as to provide drivers with effective response time and reduce the casualties and property losses caused by a vehicle collision. The experimental results showed that the accuracy rate of the pre-warning reached 80% when the speed was regarded as a variable, and the simulation results showed that the early pre-warning or delayed pre-warning rate was very low, and the timeliness rate reached 89%, which enables drivers to react quickly in the appropriate time and effectively reduces the risk of vehicle rear-end collision.


2013 ◽  
Vol 361-363 ◽  
pp. 2308-2314
Author(s):  
Lv Wen Qu ◽  
Mei Wei Dai ◽  
Fu Jian Wang ◽  
Zhi Yuan Zeng

According to hourly statistical data of road traffic accidents death toll during 1999~2004 of Zhejiang province, we found the death toll concentration phenomenon which is called phenomenon of 17 to 20 o'clock. And we discussed causes of high incidence of traffic accidents during 17 to 20 o'clock and put forward the corresponding countermeasures to reduce traffic accidents, according to the distribution pattern of deaths gender, age, travel purpose during these hours. The results of this research provide the foundation for reinforcing the traffic safety education and management.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Fang Zong ◽  
Huiyong Zhang ◽  
Hongguo Xu ◽  
Xiumei Zhu ◽  
Lu Wang

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.


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