Rough set approach for accident chains exploration

Jinn-Tsai Wong*, Yi-Shih Chung

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

40 Scopus citations


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.

Original languageAmerican English
Pages (from-to)629-637
Number of pages9
JournalAccident Analysis and Prevention
Issue number3
StatePublished - 1 May 2007


  • Accident chain
  • Accident characteristics
  • Rough set theory

Fingerprint Dive into the research topics of 'Rough set approach for accident chains exploration'. Together they form a unique fingerprint.

Cite this