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 real-time conflict prediction model using traffic flow characteristics is much less studied
than the crash-based model. This study aims at exploring the relationship between conflicts …

This paper employs a correlated random parameters ordered probit modeling framework to
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …

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

This study seeks to identify and analyze variations in the effect of contributing factors on
injury severities of single-vehicle accidents across various lighting and weather conditions …

Background: Identification of risk factors involved in road traffic deaths (RTDs) could help
policymakers and road traffic managers to adopt effective strategies and approaches for the …

Traffic barrier crashes have been a major concern in many prior studies in traffic safety
literature, especially in the crash-prone sections of mountainous regions. However, the effect …

This study uses highway accident data collected in the State of Washington, between 2011
and 2013, to study the factors that affect accident injury-severities. To account for the fixed …

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

Trucking plays a vital role in economic development in every country, especially countries
where it serves as the backbone of the economy. The fast growth of economy in Iran as a …