Taking into consideration the increasing availability of real-time traffic data and stimulated by
the importance of proactive safety management, this paper attempts to provide a review of …

Road traffic accidents (RTAs) are among the life-threatening issues facing rural as well as
sub-/urban communities. Several factors contribute to RTAs ranging from human to technical …

Predicting traffic accidents is a crucial problem to improving transportation and public safety
as well as safe routing. The problem is also challenging due to the rareness of accidents in …

The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …

Road accidents are increasing worldwide and are causing millions of deaths each year.
They impose significant financial and economic expenses on society. Existing research has …

Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has
been an area of research focus for many decades. However, in the absence of detailed …

This paper employs a correlated random parameters ordered probit modeling framework to
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …

4.1 Tyre tread depth 4.2 Studded tyres 4.3 Antilock braking systems (ABS) and disc brakes
4.4 High-mounted stop lamps 4.5 Daytime running lights for cars 4.6 Daytime running lights …

The concept and contents of driving safety field theory were presented in our previous study.
On this basis, this study focus on driving safety field theory modeling and application. First, a …

Pedestrians are vulnerable to severe injury and mortality in road crashes. Numerous studies
have attempted to identify factors contributing to crashes and pedestrian injury risks. As an …