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 …

Due to the high volume of documents in the pedestrian safety field, the current study
conducts a systematic bibliometric analysis on the researches published before October 3 …

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 primary objective of this study is to investigate how the deep learning approach
contributes to citywide short-term crash risk prediction by leveraging multi-source datasets …

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 …

Macroscopic traffic crash analyses have been conducted to incorporate traffic safety into
long-term transportation planning. This study aims at develo** a multivariate Poisson …

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

A wide array of spatial units has been explored in macro-level modeling. With the
advancement of Geographic Information System (GIS) analysts are able to analyze crashes …

Although a growing body of literature focuses on the relationship between the built
environment and pedestrian crashes, limited evidence is provided about the relative …

Introduction This study aims to identify the factors related to pedestrian and roadway
characteristics that affect vehicle–pedestrian Post Encroachment Time (PET) and Relative …