A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data

Lin Hu,Wenguang Wu,Xingqian Bao,Hequan Wu

doi:10.1155/2020/9084245

Abstract

Traffic accidents are often related to the driver’s driving behavior, which is mainly decided by his or her characters. In order to explore the correlation of traffic accident risk with driver characters, the age, driving experience, and driving style were statistically analyzed based on the China In-Depth Accident Study (CIDAS) database. Taking the number of casualties in the accident as evaluation indicators, the grey cluster analysis was used to classify the drivers into four accident risk ranks: low, medium to low, medium to high, and high. The results show that drivers aged 18–30 years are more likely to induce accidents; drivers with 6–10 years of driving experience have the highest risk to accidents, followed by drivers with 4-5 years of driving experience; and the driving style is also highly correlated with accident risk tendency.

Highlights

In China, especially in urban roads, due to mixed traffic flows, the traffic situation is more complicated
It is urgent to study the correlation of traffic accident risk tendency with driver characters
Based on the statistics of the actual traffic accident cases occurred from 2014 to 2016 in the China In-Depth Accident Study (CIDAS) database, this paper analyzes the characters of drivers involved in these accidents, and the grey cluster analysis was used to classify the drivers into four accident risk ranks. is study would provide a theoretical basis for improving the domestic traffic design and standardizing the driving behavior of drivers

Summary

Introduction

In China, especially in urban roads, due to mixed traffic flows, the traffic situation is more complicated. The accident rate is decreasing year by year, the number of casualties is still high every year [1]. It is reported 0.9 per cent year-on-year decrease for 2018 in China, but there were still 166,906 traffic accidents in cars, which killed 46,161 people and injured 169,046 people. According to the reports of traffic accidents, nearly 90% of accidents are caused by human factors, and the human becomes one of the most unstable factors in causing traffic safety problems [2]. Traffic accidents are often related to the driver’s driving behavior, which is mainly decided by his or her characters, such as the age, driving experience, and driving style. It is urgent to study the correlation of traffic accident risk tendency with driver characters

Methods

Results

Conclusion