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 …

A traffic accident, a traffic collision or crash occurs when a vehicle collides with another
vehicle, pedestrian, animal, road barrier, or any stationary obstruction such as a tree or a …

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 widely adopted techniques for regional crash modeling include the negative binomial
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …

In zone-level crash prediction, accounting for spatial dependence has become an
extensively studied topic. This study proposes Support Vector Machine (SVM) model to …

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

This study proposes a multivariate spatial model to simultaneously analyze the occurrence
of motor vehicle, bicycle and pedestrian crashes at urban intersections. The proposed model …

This study attempts to examine the main and interaction effects of roadway and weather
conditions on crash incidence, using the comprehensive crash, traffic and weather data from …

The paper presents a cross-comparison of different estimation methods to model pedestrian
and bicycle crashes. The study contributes to macro level safety studies by providing further …

Despite the recognized benefits of electronic toll collection (ETC) system as an important
part of toll plaza area, the mixed traffic of electronic toll collection (ETC) vehicles and manual …