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
UNCC
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Objective
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 pliu11@uncc.edu.