Research Reports |
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 |
Type: | Research Report – MPC Publications |
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.
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.