Spatial analyses of crashes have been adopted in road safety for decades in order to
determine how crashes are affected by neighboring locations, how the influence of …

Previous research has shown that the determinants of perceived and observed aggressive
driving behavior may differ. However, the consideration of major sources of aggressive …

This study develops a Bayesian spatial generalized ordered logit model with conditional
autoregressive priors to examine severity of freeway crashes. Our model can simultaneously …

The interchange merging area suffers a high crash risk in the freeway system, which is
greatly related to the intense mandatory merging maneuvers. Ignoring such correlation may …

Recent literature on highway safety research has focused on methodological advances to
minimize misspecifications and the potential for erroneous estimates and invalid statistical …

Intersections are among the most dangerous roadway facilities due to the complex traffic
conflicting movements and frequent stop-and-go traffic. However, previous intersection …

Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts
to reduce them and promote sustainable transport systems. This study aimed to investigate …

In the within-intersection area, vehicles from different approaches make turning movements
resulting in many conflict points. Hence, drivers are more prone to make mistakes in that …

This study aims to explore the effects of drivers' visual environment on speeding crashes by
using different machine learning techniques. To obtain the data of drivers' visual …

This paper investigates the effect of High Visibility Enforcement (HVE) programs on different
types of aggressive driving behavior, namely, speeding, tailgating, unsafe lane changes and …