Reducing the severity of injuries resulting from motor-vehicle crashes has long been a
primary emphasis of highway agencies and motor-vehicle manufacturers. While progress …

The objective of this work is to determine and study, analyze and elaborate, classify and
categorize the main risk analysis and risk-assessment methods and techniques by …

Traditional crash-severity modeling uses detailed data gathered after a crash has occurred
(number of vehicles involved, age of occupants, weather conditions at the time of the crash …

While rural freeways generally have lower crash rates, interactions between driver behavior,
traffic and geometric characteristics, and adverse weather conditions may increase the crash …

Accident prediction models (APMs) have been extensively used in site ranking with the
objective of identifying accident hotspots. Previously this has been achieved by using a …

This paper proposes the use of a random parameter negative binomial (NB) model for the
analysis of crash counts. With the use of a 9-year, continuous panel of histories of total crash …

Many road safety researchers have used crash prediction models, such as Poisson and
negative binomial regression models, to investigate the associations between crash …

The objective of this study is to evaluate the safety performance of a sample of intersections
that have been improved with the implementation of certain safety countermeasures in the …

An important part of any model of vehicle crashes is the development of a procedure to
estimate crash injury severity. After reviewing existing models of crash severity, this paper …

Analysis of both the crash count and the severity of injury are required to provide the
complete picture of the safety situation of any given roadway. The randomness of crashes …