Traditional crash-severity modeling uses detailed data gathered after a crash has occurred
(number of vehicles involved, age of occupants, weather conditions at the time of the crash …

Random parameters logit models have become an increasingly popular method to
investigate crash-injury severities in recent years. However, there remain potential elements …

This study employs the correlated mixed logit models with heterogeneity in means by
accounting for temporal instability to estimate both injury severity and vehicle damage. Two …

Rural non-interstate crashes induce a significant amount of severe injuries and fatalities.
Examination of such injury patterns and the associated contributing factors is of practical …

There have been many studies that have documented the application of crash severity
models to explore the relationship between accident severity and its contributing factors …

An ordered mixed logit (OML) formulation is proposed to model injury severity, given a
crash. The proposed formulation extends the ordered probit/logit models by accommodating …

Many transportation agencies use accident frequencies, and statistical models of accidents
frequencies, as a basis for prioritizing highway safety improvements. However, the use of …

Rural roads carry less than fifty percent of the traffic in the United States. However, more
than half of the traffic accident fatalities occurred on rural roads. This research focuses on …

Introduction This study identifies geometric, traffic, environmental, vehicle-related, and driver-
related predictors of crash injury severity on urban freeways. Method The study takes …

Numerous road safety studies have been dedicated to the estimation of crash frequency and
injury severity models. However, previous research has shown that different factors may …