There has been considerable research conducted on the development of statistical models
for predicting motor vehicle crashes on highway facilities. Over the last few years, there has …

There has been considerable research conducted on the development of statistical models
for predicting crashes on highway facilities. Despite numerous advancements made for …

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 …

This paper investigates the multivariate Poisson Lognormal modeling of counts for different
types of crashes. This multivariate model can account for the overdispersion as well as …

In recent years, complex statistical modeling approaches have being proposed to handle the
unobserved heterogeneity and the excess of zeros frequently found in crash data, including …

Crash prediction models still constitute one of the primary tools for estimating traffic safety.
These statistical models play a vital role in various types of safety studies. With a few …

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

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 …

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

There has been considerable research conducted over the last 20 years focused on
predicting motor vehicle crashes on transportation facilities. The range of statistical models …