Rough set approach for accident chains exploration.
This paper presents a novel non-parametric methodology--rough set theory--for accident occurrence exploration. The rough set theory allows researchers to analyze accidents in multiple dimensions and to model accident occurrence as factor chains. Factor chains are composed of driver characteristics, trip characteristics, driver behavior and environment factors that imply typical accident occurrence. A real-world database (2003 Taiwan single auto-vehicle accidents) is used as an example to demonstrate the proposed approach. The results show that although most accident patterns are unique, some accident patterns are significant and worth noting. Student drivers who are young and less experienced exhibit a relatively high possibility of being involved in off-road accidents on roads with a speed limit between 51 and 79 km/h under normal driving circumstances. Notably, for bump-into-facility accidents, wet surface is a distinctive environmental factor.
Wong
Jinn-Tsai
JT
Institute of Traffic and Transportation, National Chiao Tung University, 4F, 114 Chung Hsiao W. Road, Sector 1, Taipei 100, Taiwan. jtwong@mail.nctu.edu.tw <jtwong@mail.nctu.edu.tw>
Chung
Yi-Shih
YS
D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D001334:Automobile Driving / Q000523:psychology*; D001336:Automobiles; D015984:Causality; D019992:Databases as Topic; D006801:Humans; D015233:Models, Statistical; D012306:Risk; D012309:Risk-Taking; D018709:Statistics, Nonparametric; D013624:Taiwan / Q000453:epidemiology