Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …

In the last fifty years, researchers have developed statistical, data-driven, analytical, and
algorithmic approaches for designing and improving emergency response management …

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 …

Ship collision accidents often result in serious casualties and property losses. Predicting the
severity of ship collisions is beneficial to improve maritime transport safety. Therefore, this …

Safety analysis according to the spatial distribution characteristics of maritime traffic
accidents is critical to maritime traffic safety management. An accident analysis framework …

Vulnerable road users (VRUs) involved crashes are a major road safety concern due to the
high likelihood of fatal and severe injury. The use of data-driven methods and heterogeneity …

Road hazards (RH) have always been the cause of many serious traffic accidents. These
have posed a threat to the safety of drivers, passengers, and pedestrians, and have also …

Chain reaction crashes (CRC) begin with a two-vehicle collision and rapidly intensify as
more vehicles get directly involved. CRCs result in more extensive damage compared to two …

Automobile traffic accidents represent a significant threat to global public safety, resulting in
numerous injuries and fatalities annually. This paper introduces a comprehensive …

To improve the traffic safety and efficiency of freeway tunnels, this study proposes a novel
variable speed limit (VSL) control strategy based on the model-based reinforcement …