MPC Research Reports
Report Details

Title:	Risk-Based Advisory Prevention System for Commercial Trucks Under Hazardous Conditions
Authors:	Suren Chen and Feng Chen
University:	Colorado State University
Publication Date:	Sep 2011
Report #:	MPC-11-242
Project #:	MPC-323
TRID #:	01361115
Keywords:	crash data, crash injury research, injury severity, multiple vehicle crashes, prevention, risk management, single vehicle crashes, truck crashes, trucks, weather conditions

Abstract

The objective of this research is to investigate the injury severity of truck drivers by studying MV and SV accidents involving trucks on rural highways separately. By using multinomial logit models, the complex interactions between roadway characteristics, driver characteristics, accident characteristics, temporal characteristics, and environmental characteristics in both SV and MV accidents will be untangled. The model estimation results are expected to provide insightful observations of the nature of injury severities of truck drivers in SV and MV accidents. The common and unique risk factors of driver injury in SV and MV accidents will also be studied and compared.

How to Cite

Chen, Suren, and Feng Chen. Risk-Based Advisory Prevention System for Commercial Trucks Under Hazardous Conditions, MPC-11-242. North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, 2011.