Modeling the severity of accidents based on the most effective variables accounts for
developing a high‐precision model presenting the possibility of occurrence of each category …

Although there are numerous studies examining the impact of real-time traffic and weather
parameters on crash occurrence on freeways, to the best of the authors' knowledge there …

Crash injury severity analysis is useful for traffic management agency to further understand
severity of crashes. A two-layer Stacking framework is proposed in this study to predict the …

Objective: The objective of this paper is to identify the list of crash severity contributing
factors and evaluate their impact on multiple-vehicle crashes on two high use Trans …

This study focused on exploiting machine learning algorithms for classifying and predicting
injury severity of vehicle crashes in Yemen. The primary objective is to assess the …

In this paper, an artificial neural network (ANN) was used to predict the injury severity of
traffic accidents based on 5973 traffic accident records occurred in Abu Dhabi over a 6‐year …

In road traffic, critical situations pass by as quickly as they appear. Within the blink of an eye,
one has to come to a decision, which can make the difference between a low severity, high …

Abstract Run-off-road (ROR) crashes have always been a major concern as this type of
crash is usually associated with a considerable number of serious injury and fatal crashes. A …

Road traffic accidents (RTAs) have a significant impact on individuals, their families and the
nation. Without knowledgeable action, road traffic injuries are said to be the seventh leading …

Introduction: In spite of recent advances in traffic surveillance technology and ever-growing
concern over traffic safety, there have been very few research efforts establishing links …