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 …

Highway accidents are complex events that involve a variety of human responses to external
stimuli, as well as complex interactions between the vehicle, roadway features/condition …

The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …

Highway Safety Analytics and Modeling comprehensively covers the key elements needed
to make effective transportation engineering and policy decisions based on highway safety …

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

This study investigated the effects of including spatial heterogeneity in multivariate random
parameters models and their influence on different collision severity levels. The models …

Traffic safety is a critical factor that has always been considered in policy making for urban
transportation planning and management. Accurately predicting crash risk hot spots allows …

Pedestrian safety has become one of the most important issues in the field of traffic safety.
This study aims at investigating the association between pedestrian crash frequency and …

Despite the recognized benefits of cycling as a sustainable mode of transportation, cyclists
are considered vulnerable road users and there are concerns about their safety. Therefore, it …

Zonal crash prediction has been one of the most prevalent topics in recent traffic safety
research. Typically, zonal safety level is evaluated by relating aggregated crash statistics at …