Automated driving is a promising tool for reducing traffic accidents. While some companies
claim that many cutting-edge automated driving functions have been developed, how to …

Despite the measures put in place in different countries, road traffic fatalities are still
considered one of the leading causes of death worldwide. Thus, the reduction of traffic …

The transportation industry, particularly the trucking sector, is prone to workplace accidents
and fatalities. Accidents involving large trucks accounted for a considerable percentage of …

Automated driving systems should be able to avoid road traffic accidents and drive more
safely than human drivers do. Test scenarios derived from real-world data such as police …

Crash severity prediction is a challenging research area, where the objective is to accurately
assess the extent of severity of an injury resulting from road traffic accidents. The main aim of …

Road traffic crashes are common occurrences that create substantial losses and hazards to
society. A complex interaction of components, including drivers, vehicles, roads, and the …

Examining the impacts of accident characteristics and differentiated built environment factors
on accident severity at inherent accident hotspots within cities can help managers to adjust …

Previous studies regarding e-scooter sharing mainly focused on analyzing the risk factors
and the socioeconomic characteristics of users. Moreover, these studies had limitations …

A city bus carries a large number of passengers, and any traffic accidents can lead to severe
casualties and property losses. Hence, predicting the likelihood of accidents among bus …

This paper introduces a parameter-free clustering-based approach to detecting critical traffic
road segments in urban areas, ie, road segments of spatially prolonged and high traffic …