With advancements in automated driving technology, Level 3 vehicle automation has been
proliferating. In Level 3, drivers can turn their attention to things unrelated to driving and only …

Introduction: Reducing the severity of crashes is a top priority for safety researchers due to
its impact on saving human lives. Because of safety concerns posed by large trucks and the …

This study presents an effort to investigate the determinants of driver injury severity in run-off-
road (ROR) crashes. In order to account for unobserved heterogeneity, a random parameter …

Fatigue is a pervasive physiological and psychological phenomenon in tourism
experiences, but remains almost unexplored in the existing literature on tourist perception …

For crash severity modeling, researchers typically view theory-driven models and data-
driven models as different or even conflicting approaches. The reason is that the machine …

Short-form video applications (SFV apps) provide an ideal channel for promoting rural
tourism. Based on the elaboration likelihood model, this study integrated guanxi …

Crash severity model is a classical topic in road safety research. The multinomial logit (MNL)
model, as a basic discrete outcome method, is widely applied to measure the association …

The accurate detection and alleviation of driving fatigue are of great significance to traffic
safety. In this study, we tried to apply the modified multi-scale entropy (MMSE) approach …

Objective Road traffic injuries (RTIs) are recognized as one of the most important causes of
morbidity and mortality throughout the world, especially in developing countries. Human …

Dangerous or illegal driving may disrupt the traffic safety management of public security
organs, damage road infrastructure, lead to traffic accidents, or result in economic losses …