Citation

Sharafeldin M, Farid A, Ksaibati K. J. Transp. Technol. (Irvine, Calif.) 2022; 12(4): 635-650.

Copyright

(Copyright © 2022, Scientific Research Publishing)

DOI

10.4236/jtts.2022.124037

PMID

unavailable

Abstract

Rear-end crashes are among the most common crash types at signalized intersections. To examine the risk factors for the occurrence of this crash type, this study involved the analysis of nine years of intersection crash records in the state of Wyoming. With that, the contributing factors related to crash, driver, environmental, and roadway characteristics, including pavement surface friction, were investigated. A binomial logistic regression modeling approach was applied to achieve the study's objective. The results showed that three factors related to crash and driver's attributes (commercial vehicle involvement, speeding, and driver's age) and four factors related to environmental and roadway characteristics (lighting, weather conditions, area type, whether urban or rural and pavement friction) are associated with the risk of rear-end crash occurrence at signalized intersections. This study provides insights into the mitigation measures to implement concerning rear-end crashes at signalized intersections.

Language: en