A two-stage mining framework to explore key risk conditions on one-vehicle crash severity

Yu-Chiun Chiou*, Lawrence W. Lan, Wen Pin Chen

*此作品的通信作者

研究成果: Article同行評審

9 引文 斯高帕斯(Scopus)

摘要

This paper proposes a two-stage mining framework to explore the key risk conditions that may have contributed to the one-vehicle crash severity in Taiwan's freeways. In the first stage, a genetic mining rule (GMR) model is developed, using a novel stepwise rule-mining algorithm, to identify the potential risk conditions that best elucidate the one-vehicle crash severity. In the second stage, a mixed logit model is estimated, using the antecedent part of the mined-rules as explanatory variables, to test the significance of the risk conditions. A total of 5563 one-vehicle crash cases (226 fatalities, 1593 injuries and 3744 property losses) occurred in Taiwan's freeways over 2003-2007 are analyzed. The GMR model has mined 29 rules for use. By incorporating these 29 mined-rules into a mixed logit model, we further identify one key safe condition and four key risk conditions leading to serious crashes (i.e.; fatalities and injuries). Each key risk condition is discussed and compared with its adjacent rules. Based on the findings, some countermeasures to rectify the freeway's serious one-vehicle crashes are proposed.

原文English
頁(從 - 到)405-415
頁數11
期刊Accident Analysis and Prevention
50
DOIs
出版狀態Published - 1 1月 2013

指紋

深入研究「A two-stage mining framework to explore key risk conditions on one-vehicle crash severity」主題。共同形成了獨特的指紋。

引用此