Multi-Vehicle Crashes Involving Large Trucks: A Random Parameter Discrete Outcome Modeling Approach

Mouyid Islam


A growing concern on large-truck crashes increased over the years due to the potential economic impacts and level of injury severity. This study aims to analyze the injury severities of multi-vehicle large-trucks crashes on national highways. To capture and understand the complexities of contributing factors, two random parameter discrete outcome models – random parameter ordered probit and mixed logit – were estimated to predict the likelihood of five injury severity outcomes: fatal, incapacitating, non-incapacitating, possible injury, and no-injury. Estimation findings indicate that the level of injury severity is highly influenced by a number of complex interactions of factors, namely, human, vehicular, road-environmental, and crash dynamics that can vary across the observations.

Full Text:




  • There are currently no refbacks.

© 2010 The Transportation Research Forum
All Rights Reserved
ISSN 1046-1469

Published and Distributed by
Transportation Research Forum
NDSU Dept 2880
P.O. Box 6050
Fargo, ND 58108-6050
Phone: (701)231-7766
Fax: (701)231-1945