Most of the previous studies that investigated the factors increasing the severity of rear-end
collisions were based on analyzing collision reports from multiple years and combining them …

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 …

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 …

Problem: The expected substantial increase in people aged 65 or older is important for
those concerned about transportation injuries. However, much of the previous research …

The number of commercial vehicles on US roads has grown dramatically over the past few
decades. Although the number of large trucks involved in fatal and injury crashes has …

Rear-end crashes are one of the frequently occurring types of crashes. It is becoming
increasingly apparent that in order to develop effective rear-end crash countermeasures, it is …

Road crash prediction models are very useful tools in highway safety, given their potential
for determining both the crash frequency occurrence and the degree severity of crashes …

Rural roads carry less than fifty percent of the traffic in the United States. However, more
than half of the traffic accident fatalities occurred on rural roads. This research focuses on …

Objective Previous research has found elevated injury risk for females relative to males in
passenger vehicle crashes but has not accounted for ways the crashes themselves differ …

This paper describes the use of ordered probit models to examine the risk of different injury
levels sustained under all crash types, two-vehicle crashes, and single-vehicle crashes. The …