To undertake a reliable analysis of injury severity in road traffic accidents, a complete
understanding of important attributes is essential. As a result of the shift from traditional …

A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …

Predicting crash injury severity is a crucial constituent of reducing the consequences of
traffic crashes. This study developed machine learning (ML) models to predict crash injury …

Motorcycle crash severity is under-researched in Ghana. Thus, the probable risk factors and
association between these factors and motorcycle crash severity outcomes is not known …

Road accident severity is a major concern of the world, particularly in underdeveloped
countries. Understanding the primary and contributing factors may combat road traffic …

Introduction: Road traffic crashes represent a major public health concern, so it is of
significant importance to understand the factors associated with the increase of injury …

Data Mining classification algorithms in predicting the factors which influence the road traffic
accidents specific to injury severity. It precisely compares the performance of classification …

With the fast development of economics, road safety is becoming a serious problem.
Exploring macro factors is effective to improve road safety. However, the existing studies …

The research and development of autonomous vehicle (AV) technology have been gaining
ground globally. However, a few studies have performed an in‐depth exploration of the …

Traffic accidents are the leading cause of death and injury in many developed nations.
Anyone utilizing the road can meet an accident at any moment of time. The type of collision …