Predicting the severity of injuries caused by traffic accidents is an important undertaking
because it may lead to establishing regulations increasing road-user safety. Bicyclists are a …

With the increasing demand of hazardous material (Hazmat), traffic accidents occurred
frequently during Hazmat transportation, which had caused widespread concern in …

Traffic accidents are still the main cause of fatalities, injuries and significant delays in
highways. Understanding the accident contributing factor is imperative to increase safety in …

For crash severity modeling, researchers typically view theory-driven models and data-
driven models as different or even conflicting approaches. The reason is that the machine …

Abstract In the United States, the probability of work zone crashes has increased due to an
increase in renovation works by transportation infrastructures. The severity of work zone …

The analysis of severity causality for traffic crash is essential for enhancing the crash rescue
responding speed, thereby reducing the casualties and property losses caused by roadway …

Roadway multi-fatality crashes have always been a vital issue for traffic safety. This study
aims to explore the contributory factors and interdependent characteristics of multi-fatality …

Most of the existing research efforts have been conducted using the random parameters
ordered possibility model to investigate the unobserved heterogeneity; however, relatively …

In this study, a mixed logit model is developed to identify the heterogeneous impacts of
gender-interpreted contributing factors on driver injury severities in single-vehicle rollover …

Road accident is one of the important problems in the world which caused large number of
deaths. In a road crash dataset, the fatal crash samples, often constitute very small …