In previous research, the effects of commercial vehicle proportions (CVP) on overall crash
propensity have been found to be significant, but the results have been varied in terms of the …

The increase in 65 years and older population in the United States compels the investigation
of the crashes involving all aging (65+) roadway users (drivers, passengers, bicyclists, and …

In this study, a multivariate random-parameters Tobit model is proposed for the analysis of
crash rates by injury severity. In the model, both correlation across injury severity and …

Crashes present different collision types. There usually exist unobserved risk factors which
could jointly affect crash rates of different types, resulting in correlation and heterogeneity …

Numerous studies have previously used a variety of count-data models to investigate factors
that affect the number of crashes over a certain period of time on roadway segments. Unlike …

A large body of previous literature has used a variety of count-data modeling techniques to
study factors that affect the frequency of highway accidents over some time period on …

This study develops three temporal multivariate random parameters Tobit models to analyze
crash rate by injury severity; these models simultaneously accommodate temporal …

This study develops a Bayesian spatial random parameters Tobit model to analyze crash
rates on road segments, in which both spatial correlation between adjacent sites and …

This study sets out to investigate the effects of traffic composition on freeway crash frequency
by injury severity. A crash dataset collected from Kaiyang Freeway, China, is adopted for the …

Studies investigating crash rates by roadway classification are few and far between and
even more rare if extended to focus on heavy vehicles. This study explored and compared …