Many transportation agencies use accident frequencies, and statistical models of accidents
frequencies, as a basis for prioritizing highway safety improvements. However, the use of …

The growing concern about the possible safety-related impacts of Intelligent Transportation
Systems (ITS) has focused attention on the need to develop new statistical approaches to …

This paper examined the accident risk factors associated with highway traffic and roadway
design, for each of three highway classes in the United States using a bivariate modeling …

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 …

Both crash count and severity are thought to quantify crash risk at defined transport network
locations (eg intersections, a particulate section of highway, etc.). Crash count is a measure …

Traditional accident analysis typically explores non-time-varying (stationary) factors that
affect accident occurrence on roadway segments. However, the impact of time-varying …

Introduction This study identifies geometric, traffic, environmental, vehicle-related, and driver-
related predictors of crash injury severity on urban freeways. Method The study takes …

An increasing research effort has been made on spatially disaggregated safety analysis
models to meet the needs of region-level safety inspection and recently emerging …

An ordered mixed logit (OML) formulation is proposed to model injury severity, given a
crash. The proposed formulation extends the ordered probit/logit models by accommodating …

Crashes at highway-rail grade crossings often result in higher proportion of injury and fatality
of the vehicle occupants as compared to other crash types, necessitating in-depth …