Access to non-biased and accurate models capable of predicting driver injury severity of
collision events is vital for determining what safety measures should be implemented at …

Objective Previous research has shown that fatal crash involvement rates per licensed driver
aged 70 and older declined significantly more per year in the United States than rates for …

A multivariate logistic regression model, based upon National Automotive Sampling System
Crashworthiness Data System (NASS-CDS) data for calendar years 1999–2008, was …

INTRODUCTION: Recent years have witnessed a growing interest in improving bus safety
operations worldwide. While in the United States buses are considered relatively safe, the …

Previous heavy-vehicle (a truck with a gross vehicle weight rating greater than 10,000
pounds) injury severity studies have disaggregated data by factors such as urban/rural and …

This paper uses a heteroscedastic ordered logit model to study the effects of various vehicle,
environmental, roadway and occupant characteristics on the severity of injuries sustained by …

At-fault crash-prone drivers are usually considered as the high risk group for possible future
incidents or crashes. In Louisiana, 34% of crashes are repeatedly committed by the at-fault …

This report examines contributing factors to single vehicle off-roadway, rear-end, and lane
change crashes involving light vehicles (passenger cars, sport utility vehicles, vans, and …

Survey data on large trucks involved in fatal accidents and on the travel of large trucks
provide estimates of fatal accident involvement rates by driver age. The analysis is focused …

A critical part of any risk assessment is identifying how to represent exposure to the risk
involved. Recent research shows that the relationship between crash count and traffic …