The empirical Bayes (EB) method addresses two problems of safety estimation: it increases
the precision of estimates beyond what is possible when one is limited to the use of a 2-to 3 …

Trends of globalization very often cause the emergence of phenomena that asymmetrically
affect the overall sustainability of the transport system. In order to predict certain situations …

Transportation Decision Making A GUIDE TO EFFECTIVE DECISION MAKING WRITTEN
JUST FOR TRANSPORTATION PROFESSIONALS This pioneering text provides a holistic …

Poisson and negative binomial (NB) models have been used to analyze traffic accident
occurrence at intersections for several years. There are however, limitations in the use of …

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

Crash prediction models have been very popular in highway safety analyses. However, in
highway safety research, the prediction of outcomes is seldom, if ever, the only research …

Statistical relationships between traffic crashes and traffic flows at roadway intersections
have been extensively modeled and evaluated in recent years. The underlying assumptions …

This paper presents analyses of data from the Highway Safety Information System (HSIS) for
the State of Illinois. Our analyses focuses on whether various changes in road network …

Unlike conventional traffic safety studies that focused on histrionic data analyses, this study
attempts to identify traffic conditions that might lead to a traffic accident from real-time …

In Europe, approximately 60% of road accident fatalities occur on two-lane rural roads. Thus,
research to develop and enhance explanatory and predictive models for this road type …