scholarly journals Road Traffic Safety Risk Estimation Method Based on Vehicle Onboard Diagnostic Data

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaoyu Cai ◽  
Cailin Lei ◽  
Bo Peng ◽  
Xiaoyong Tang ◽  
Zhigang Gao

Currently, research on road traffic safety is mostly focused on traffic safety evaluations based on statistical indices for accidents. There is still a need for in-depth investigation on preaccident identification of safety risks. In this study, the correlations between high-incidence locations for aberrant driving behaviors and locations of road traffic accidents are analyzed based on vehicle OBD data. A road traffic safety risk estimation index system with road traffic safety entropy (RTSE) as the primary index and rapid acceleration frequency, rapid deceleration frequency, rapid turning frequency, speeding frequency, and high-speed neutral coasting frequency as secondary indices is established. A calculation method of RTSE is proposed based on an improved entropy weight method. This method involves three aspects, namely, optimization of the base of the logarithm, processing of zero-value secondary indices, and piecewise calculation of the weight of each index. Additionally, a safety risk level determination method based on two-step clustering (density and k-means clustering) is also proposed, which prevents isolated data points from affecting safety risk classification. A risk classification threshold calculation method is formulated based on k-mean clustering. The results show that high-incidence locations for aberrant driving behaviors are consistent with the locations of traffic accidents. The proposed methods are validated through a case study on four roads in Chongqing with a total length of approximately 38 km. The results show that the road traffic safety trends characterized by road safety entropy and traffic accidents are consistent.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lei Lin ◽  
Feng Shi ◽  
Weizi Li

AbstractCOVID-19 has affected every sector of our society, among which human mobility is taking a dramatic change due to quarantine and social distancing. We investigate the impact of the pandemic and subsequent mobility changes on road traffic safety. Using traffic accident data from the city of Los Angeles and New York City, we find that the impact is not merely a blunt reduction in traffic and accidents; rather, (1) the proportion of accidents unexpectedly increases for “Hispanic” and “Male” groups; (2) the “hot spots” of accidents have shifted in both time and space and are likely moved from higher-income areas (e.g., Hollywood and Lower Manhattan) to lower-income areas (e.g., southern LA and southern Brooklyn); (3) the severity level of accidents decreases with the number of accidents regardless of transportation modes. Understanding those variations of traffic accidents not only sheds a light on the heterogeneous impact of COVID-19 across demographic and geographic factors, but also helps policymakers and planners design more effective safety policies and interventions during critical conditions such as the pandemic.


Author(s):  
Olasunkanmi Oriola Akinyemi ◽  
Hezekiah O Adeyemi ◽  
Olusegun Jinadu

Abstract Analysis of road traffic accidents revealed that most accidents are as a result of drivers’ errors. Over the years, active safety systems (ASS) were devised in vehicle to reduce the high level of road accidents, caused by human errors, leading to death and injuries. This study however evaluated the impacts of ASS inclusions into vehicles in Nigeria road transportation network. The objectives was to measure how ASS contributed to making driving safer and enhanced transport safety. Road accident data were collected, for a period of eleven years, from Lagos State Ministry of Economic Planning and Budget, Central Office of Statistics. Quantitative analysis of the retrospective accident was conducted by computing the proportion of yearly number of vehicles involved in road accident to the total number of vehicles for each year. Results of the analysis showed that the proportion of vehicles involved in road accidents decreased from 16 in 1996 to 0.89 in 2006, the injured persons reduced from 15.58 in 1998 to 0.3 in 2006 and the death rate diminished from 4.45 in 1998 to 0.1 in 2006. These represented 94.4 %, 95 % and 95 % improvement respectively on road traffic safety. It can therefore be concluded that the inclusions of ASS into design of modern vehicles had improved road safety in Nigeria automotive industry.


2012 ◽  
Vol 21 (2) ◽  
pp. 129-140
Author(s):  
Vinko Višnjić ◽  
Marko Pušić

The safety of road traffic in small towns in the Republic of Croatia is not at a satisfactory level. As proof, the safety of road traffic participants in the area of the town of Nova Gradiška and its wider environment has been studied and analyzed. The paper includes the available data in the period from 2000 to 2007. The analysis and the assessment of road traffic safety can be applied also to other towns and counties of the Republic of Croatia. Having in mind that there are 531 settlements in the Republic of Croatia (119 towns and 412 districts), out of which only 78 are larger than 10,000 inhabitants or 14.69% of the total number, which means that the analysis could be made for any settlement in the Republic of Croatia. The road traffic safety assessment was conceived according to the modified Smeed model which may be applied for any settlement or town. The road traffic safety analysis has led to the conclusion that safety of all the traffic participants is endangered. This paper provides solutions about what has to be done in order to reduce the danger to all the road traffic factors. KEY WORDS: drivers, traffic, traffic accidents, safety and small towns


Author(s):  
S. S. Aleksanin ◽  
S. V. Shport

Relevance. The paper is devoted to problems of ensuring road traffic safety in Russia, which is the public task of great importance involving the implementation of the policy for protecting people's health, life, and property.Intention. To look for ways of optimizing and implementing the measures aimed at preventing the technogenic emergencies.Methodology. To analyze the indicators of road traffic accidents in the Russian Federation over five years as well as the federal laws in the field of road traffic safety.Results and Discussion. Risk factors of traffic accidents include: alcohol intoxication, speed limit exceeded, overtaking in the wrong place, driver talking, smoking while driving, driver fatigue. In the Russian Federation, there is a persistent downward trend in the number of accidents. In 2019, 164,358 traffic accidents (-2.2 %; all comparisons vs 2018) occurred, 16,981 (-6.8 %) persons died, 210,877 (-1.9 %) persons were injured. According to the Ministry of Internal Affairs, the number of accidents due violation of the Road Rules by drivers was 146,688 (-1 %); 14,420 (-5.7 %) persons died and 195,037 (-0.8 %) persons were injured. In 2019, road traffic accidents caused by drunk drivers tended to decrease (12,040; -3.5 %); 11,510 (-4 %) persons died and 160,725 (-0.4 %) persons were injured.Conclusion. Drivers' health is directly related to road traffic safety; health promotion would contribute to decreasing the number of road traffic accidents and traffic-related injuries.


2019 ◽  
Vol 18 (6) ◽  
pp. 482-489
Author(s):  
K. Ibrayev ◽  
A. Ibrayev ◽  
D. Kapskiy ◽  
Y. Kot ◽  
A. Rybinskiy ◽  
...  

The article presents the results of the study of the road traffic safety on the automobile roads of the Republic of Kazakhstan. We performed the analysis of the main indicators, specifying the state of the road traffic safety on the automobile roads of the republican significance of the Republic of Kazakhstan. In many regulatory acts, such as “The Priority Action Plan for Improving the Road Traffic Safety of the Republic of Kazakhstan for 2017–2020”, developed with the support of the Asian Development Bank, and in the “National Concept of Road Traffic Safety” project as well , developed by the Interdepartmental Research Institute called “The Academy of Law Enforcement Agencies” of the General Prosecutor’s Office of the Republic of Kazakhstan, the urgent need to improve road traffic safety is clearly pointed. At the same time, it is necessary to have the information about the extent of the existing problem in the field of road traffic safety, which is ensured by the constant consideration and analysis of the statistical indicators, as well as by planning appropriate measures aimed at correcting the situation and achieving planned indicators in the framework of, for example, the national concept of road traffic safety. Currently, statistics on road traffic accidents, occurring in Kazakhstan, are published by the Committee on Statistics of the Republic of Kazakhstan and the Committee on Legal Statistics and Special Accounting. However in the current situation, this is not enough, especially since the ARC MIID of the Republic of Kazakhstan outlined the program of actions aimed at eliminating the existing shortcomings in the field of the road traffic safety and significant improving its indicators. The analytical investigation of the status of the road traffic safety on the roads of the Republic of Kazakhstan was carried out. This will become a kind of starting point in the consistent work in this direction, which will provide the interested parties, first of all the experts, with the high-quality and reliable information about the main figures, characterizing the state of safety of the road users. Based on objective accident data, it is possible to take the effective measures aimed at improving the situation on the roads of the Republic of Kazakhstan.


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.


2013 ◽  
Vol 779-780 ◽  
pp. 1028-1035 ◽  
Author(s):  
Fei Chen ◽  
Song Ling Chen ◽  
Ying Ying Cheng

In order to evaluate the level of roads safety, this paper proposes a model of traffic accidents which is derived from theories of synergetics. In this study, a great deal of field survey date is obtained via a set of physiological and psychological detection devices. By analyzing data combined with driving comfort threshold, a model of traffic accidents is founded according to different effects, caused by traffic factors.


2021 ◽  
Vol 7 ◽  
Author(s):  
Fatma Outay ◽  
Nafaa Jabeur ◽  
Hedi Haddad ◽  
Zied Bouyahia ◽  
Hana Gharrad

The advent of Connected Vehicles (CVs) is creating new opportunities within the transportation sector. It is, indeed, expected to improve road traffic safety, enhance mobility, reduce fuel consumption and gas emissions, as well as foster economic growth via investments and jobs. However, to motivate the deployment of CVs and maximize their related benefits, policymakers must create appropriate neutral legal frameworks. These frameworks should promote the innovation of current road infrastructures, support cooperation and interoperability between transportation systems, and encourage fair competition between companies while upholding consumer privacy as well as data protection. We argue that policymakers should also support innovative mobility services toward a better accommodation of individual drivers and vehicles. Within this scope, we are proposing in this paper an intelligent approach that promotes the implementation of personalized road policies based on driving behaviors, driving performance, and the ongoing road traffic situation. These policies, which are dynamic in space and time, ultimately aim to increase drivers’ awareness by encouraging behavioral self-regulation. To meet our goals, we are using software agents that autonomously manage the driving behaviors according to well-defined transitions between driving states while enabling appropriate message exchanges between CVs. We run software simulations as well as field tests and obtained promising results that would reflect the relevance of implementing our vision of personalized policies.


2021 ◽  
Vol 275 ◽  
pp. 02024
Author(s):  
Lilu Sun ◽  
Zhijin Zhang ◽  
Mengwei Chen ◽  
Sen Dong

Under the background of the rapid development of Internet technology, the emergence of Internet platform accelerates the industrial agglomeration. As a chain connecting the material circulation between industries, the rise of logistics industry is inevitable. As a key link of logistics industry, transportation, along with the rise of logistics industry, has led to an increase in traffic accidents year by year. Therefore, based on the national road traffic accident data from 2006 to 2019, this paper uses SPSS 26.0 to analyse the accident incidence, casualties and direct property loss indicators of different regions and occupation, and study the characteristics of perpetrators and casualties. The results show that the traffic accidents in the whole country show a downward trend, but they are unbalanced. Workers and farmers accounted for the largest proportion, but the death and injury rate showed a downward trend. Other showed an upward trend in the past five years, especially in the delivery industry. Future road traffic safety management should take corresponding measures to reduce the accident rate from the perspective of the development of related industries.


2021 ◽  
Vol 1202 (1) ◽  
pp. 012034
Author(s):  
Valentina Amare ◽  
Juris Smirnovs

Abstract The highest number of road accidents occurs at junctions. One of the aims of traffic organisation is to improve traffic safety in these areas. Based on a variety of indices – road capacity, points of conflict, number, and severity of road traffic accidents – different alternatives for junctions are evaluated. However, the road network has many junctions and roads serve to travel from point "A" to point "B" at a given time. Therefore, one of the most important tasks when addressing the issue of road safety is to find a rational way of improving the safety without losing the importance of the road. The aim of this paper is to analyse the impact of different junctions on the road network and basing on actual data develop a method for the evaluation of different types of junctions with respect to road class.


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