The occurrence rate of death and injury due to road traffic accidents is rising increasingly
globally day by day. For several decades, the focus of research has been on getting a …

Because of a growing crash occurrence in conflict areas, the ramp and merge segments on
freeways are a concern for transportation researchers and practitioners. Therefore, short …

Developing sound or reliable statistical models for analyzing motor vehicle crashes are very
important in highway safety studies. However, a significant difficulty associated with the …

Reducing nonmotorized crashes requires a profound understanding of the causes and
consequences of the crashes at the facility level. Generally, existing literature on bicyclists …

Variable speed limit (VSL) and variable advisory speed (VAS) signs are efficient, cost-
effective and among the state-of-the-art active traffic management (ATM) strategies. They …

About 40 percent of motor vehicle crashes in the US are related to intersections. To deal with
such crashes, Safety Performance Functions (SPFs) are vital elements of the predictive …

Traditional Bayesian network (BN) model is established by crisp sets and probabilities, and
its effectiveness and applicability are restricted. In order to solve this problem, a new BN …

Road crash prediction models are very useful tools in highway safety, given their potential
for determining both the crash frequency occurrence and the degree severity of crashes …

This study investigated the inclusion of spatial correlation in multivariate count data models
of collision severity. The models were developed for severe (injury and fatal) and no-injury …

One challenge faced by the random-parameter count models for crash prediction is the
unavailability of unique coefficients for out-of-sample observations. The means of the …