Numerous efforts have been devoted to investigating crash occurrence as related to
roadway design features, environmental factors and traffic conditions. However, most of the …

In practice, crash and injury counts are modeled by using a single equation or a series of
independently specified equations, which may neglect shared information in unobserved …

In an effort to improve traffic safety, there has been considerable interest in estimating crash
prediction models and identifying factors contributing to crashes. To account for crash …

Traditionally, highway safety analyses have used univariate Poisson or negative binomial
distributions to model crash counts for different levels of crash severity. Because …

This study presents multi-level analyses for single-and multi-vehicle crashes on a
mountainous freeway. Data from a 15-mile mountainous freeway section on I-70 were …

This paper presents a simultaneous equations model of crash frequencies by severity level
for freeway sections using five-year crash severity frequency data for 275 multilane freeway …

This paper advocates the use of multivariate Poisson-lognormal (MVPLN) regression to
develop models for collision count data. The MVPLN approach presents an opportunity to …

It is important to examine the nature of the relationships between roadway, environmental,
and traffic factors and motor vehicle crashes, with the aim to improve the collective …

A new multivariate approach is introduced for jointly modeling data on crash counts by
severity on the basis of multivariate Poisson-lognormal models. Although the data on crash …

Traditionally, transportation safety analysts have used the empirical Bayes (EB) method to
improve the estimate of the long-term mean of individual sites; to correct for the regression-to …