Pedestrian-injury severity has been traditionally modeled with approaches that have
assumed that the effect of each variable is fixed across injury observations. This assumption …

Abstract Evaluation of crash-related injuries by medical specialists in hospitals is believed to
be more exact than rather a cursory evaluation made at the crash scene. Safety analysts …

This paper investigates factors affecting injury severity of crashes involving HAZMAT large
trucks. It uses the crash data in the state of California from the Highway Safety Information …

To identify factors influencing severity of injury to older drivers in fixed object–passenger car
crashes, two sets of sequential binary logistic regression models were developed. The …

The purpose of this study is to examine left-turn crash injury severity. Left-turning traffic
colliding with opposing through traffic and with near-side through traffic are the two most …

A heteroscedastic ordered logit model was used to study the effects of various vehicle,
environmental, roadway, and occupant characteristics on the severity of injuries sustained …

Motorcycle crashes increasingly become a high proportion of the overall motorized vehicle
fatalities. However, limited research has been conducted to compare the injury severity of …

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

Abstract Introduction: The state of Wyoming, like other western United States, is
characterized by mountainous terrain. Such terrain is well noted for its severe downgrades …

This study uses highway accident data collected in the State of Washington, between 2011
and 2013, to study the factors that affect accident injury-severities. To account for the fixed …