TITLE:
Examining the Risk Factors of Rear-End Crashes at Signalized Intersections
AUTHORS:
Mostafa Sharafeldin, Ahmed Farid, Khaled Ksaibati
KEYWORDS:
Rear-End Crashes, Signalized Intersections, Pavement Friction, Intersection Safety, Binomial Logistic Regression
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.12 No.4,
September
8,
2022
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.