North Carolina Department of Transportation
Research & Innovation Summit – 2020

Analyzing Injury Severity of Rear-End Crashes involving Large Trucks Using a Mixed Logit Model

Authors: Pengfei Liu and Wei Fan
View or Download PDF


Rear-end crash ranks the highest among all crash types in the United States. Over two million rear-end crashes occur on U.S. roadways every year, which are responsible for about 30% of all injuries and fatalities. Due to the size and weight, crashes involving large trucks often result in severe injuries and fatalities.

This paper develops a mixed logit model to examine contributing factors that significantly affect the severity of large truck related rear-end crashes and the heterogeneity in such factors.


For questions about this research, contact Pengfei Liu at