Citation

Xu C, Wang C, Ding Y, Wang W. Transp. Lett. 2020; 12(3): 149-156.

Copyright

(Copyright © 2020, Maney Publishing, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/19427867.2018.1540146

PMID

unavailable

Abstract

This study aimed to use the fault tree analysis (FTA) to investigate the casual relationship among the event and causes contributing to extremely severe crash that leads to more than 10 deaths. The characteristics of extremely severe traffic crashes were compared with those of normal crashes in terms of gender, driving experience, road technical level, road alignment, time, and weather conditions. A fault tree was developed to provide an overview of the basic causes and their causal relationship. The minimal cut sets were derived to reveal the causal relationships among events and causes contributing to extremely severe crashes. Then, quantitative assessment was conducted to evaluate the importance of various events. The results can help to prioritize actions and resources for crash prevention. Finally, the minimal path set analysis was conducted to identify the minimal sets of basic events needed to be prevented so that extremely severe crash will not occur.

Language: en

Keywords

casual modeling; crash fatalities; extremely severe crash; fault tree analysis; Traffic safety