Work zones are a high priority issue in the field of road transportation because of their
impacts on traffic safety. A better understanding of work zone crashes can help to identify the …

The study presented in this paper investigated the possibility of using support vector
machine (SVM) models for crash injury severity analysis. Based on crash data collected at …

The classification of vehicular crashes based on their severity is crucial since not all of them
have the same financial and injury values. In addition, avoiding crashes by identifying their …

Real-time crash risk evaluation models will likely play a key role in Active Traffic
Management (ATM). Models have been developed to predict crash occurrence in order to …

Work zone safety remains a priority to the Federal Highway Administration, State Highway
Departments, highway engineers, and the traveling public. Work zones create a hospitable …

Understanding and quantifying the effects of risk factors on crash frequency is of great
importance for developing cost-effective safety countermeasures. In this paper, the effects of …

Highway work zones interrupt regular traffic flows and create safety problems. Improving
safety without sacrificing the main function of highways is a challenging task that traffic …

Safety of drivers in freeway work zones has been a problem. Real-time crash prediction
helps prevent crashes before they happen. This paper looks at real-time crash prediction in …

Crash injury severity prediction is a promising research target in traffic safety. Traditionally,
various statistical methods were used for modeling crash injury severities. In recent years …

Introduction: In this paper, we present machine learning techniques to analyze pedestrian
and bicycle crash by developing macro-level crash prediction models. Methods: We …