Accident cause analysis method based on traffic accident information system

Author

Xi Jianfeng ; Chen Xiaodong ; Wang Shuangwei ; Zhurongtao

Author_Institution

State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China

Volume

13

fYear

2010

fDate

22-24 Oct. 2010

Abstract

This article analyzes the characteristics of data base and data of road traffic accident in China. On the basis of specific analysis of accident cause, this article offers classification and layer for accident data of road traffic accident information system in China, provides traffic accident causes analysis method based on rough set and gives quantitative analysis for the contribution of traffic accident made by each factor layer by layer. Analysis of accident cause based on the 20000 road traffic accident data in one area showed that the relative importance degree of road is “1” in four essential factors such as people, vehicle, road and environment. And in the road factor, the first three top relative importance degrees are types of safeguards at roadside, road physical isolation and structure road surface in turn.

Keywords

accident prevention; data mining; road traffic; rough set theory; traffic information systems; China; quantitative analysis; road physical isolation; road surface; road traffic accident information system; rough set; traffic accident causes analysis method; Accidents; Data mining; Databases; Information systems; Modeling; Roads; Vehicles; accident information system; cause analysis; data mining; rough set; traffic accident;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Application and System Modeling (ICCASM), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-7235-2

Electronic_ISBN

978-1-4244-7237-6

Type

conf

DOI

10.1109/ICCASM.2010.5622735

Filename

5622735