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) …

Virtually every statistical analysis of highway safety data is predicated on the assumption
that the estimated model parameters are temporally stable. That is, the assumption that the …

Crash severity prediction models enable different agencies to predict the severity of a
reported crash with unknown severity or the severity of crashes that may be expected to …

Traffic incident detection is a very important research area of intelligent transportation
systems. Many methods have obtained good performance in traffic incident detection …

The number of expressway road accidents in Sri Lanka has significantly increased (by 20%)
due to the expansion of the transport network and high traffic volume. It is crucial to identify …

Two-lane, two-way roads constitute a major portion of the rural roads in most countries of the
world. This study identifies the factors influencing crash injury severity on these roads in Iran …

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 …

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) are a major public health concern, resulting in an estimated
1.2 million deaths and 50 million injuries worldwide each year. In the developing world …