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 …

As a key area of traffic safety research, crash severity modelling has attracted tremendous
attention. Recently, there has been growing interest in applying machine learning (ML) …

Due to the burgeoning demand for freight movement, freight related road safety threats have
been growing substantially. In spite of some research on the factors influencing freight truck …

Road crash fatality is a universal problem of the transportation system. A massive death toll
caused annually due to road crash incidents, and among them, vulnerable road users (VRU) …

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 …

The evaluation of the severity of the factors influencing road accidents with a detailed
severity distribution is critical to plan evidence-based road safety improvements and …

Millions of car crashes occur annually in the US, leaving tens of thousands of deaths and
many more severe injuries. Thus, understanding the most impactful contributors to severe …

Road traffic injuries are one of the primary reasons for death, especially in developing
countries like Bangladesh. Safety in land transport is one of the major concerns for road …

Crash severity models play a crucial role in evaluating the influencing factors in the severity
of traffic crashes. In this study, Extremely Randomised Tree (ERT) is used as a machine …

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 …