Introduction: Medium to large truck crashes, particularly on rural curved roadways, lead to a
disproportionately higher number of fatalities and serious injuries relative to other passenger …

While the cost of road traffic fatalities in the US surpasses $240 billion a year, the availability
of high-resolution datasets allows meticulous investigation of the contributing factors to …

As electric bikes (e-bikes) rapidly develop in China, their traffic safety issues are becoming
increasingly prominent. Accurately detecting risky riding behaviors and conducting …

The severity of the two-vehicle crash is closely related to the characteristics of both the struck
and striking vehicles. Ignoring vehicle roles may lead to biased results. Thus, this study used …

The trucking sector contributes significantly to the economic vitality of the United States.
Large trucks are primarily used for transporting goods within and across states. Despite its …

Objective In order to enhance the detection rate of multiple myeloma and execute an early
and more precise disease management, an artificial intelligence assistant diagnosis system …

Speeding is one of the most common aberrant driving behaviors among the driving
population. Although research on speeding behavior among drivers has increased over the …

Abstract Introduction Long-haul Truck drivers (LHTDs) have long working hours, insufficient
rest, and poor health conditions and often experience fatigue that substantially may lead to …

Machine learning currently holds a vital position in predicting collision severity. Identifying
factors associated with heightened risks of injury and fatalities aids in enhancing road safety …

This research investigates the intricate relationship between the number of lanes on
highways and injury severities sustained by commercial motor vehicle (CMV) drivers. Many …