Traffic accidents are one main cause of human fatalities in modern society. With the fast
development of connected and autonomous vehicles (CAVs), there comes both challenges …

Across the world, traffic accidents cause major health problems and are of concern to health
institutions; nearly 1.35 million people are killed or disabled in traffic accidents every year. In …

In the contemporary era, the global explosion of traffic has created many eye-catching
concerns for policymakers. This not only enhances pollution but also leads to several road …

Driver fatigue or drowsiness detection techniques can significantly enhance road safety
measures and reduce traffic accidents. These approaches used different sensor …

Distracting while driving is a serious issue that causes serious direct and indirect harm to the
society. To avoid these problems, detecting dangerous drivers' behaviour is very important …

Background Accurate and reliable data are essential for tracking progress and evaluating
the effectiveness of road safety intervention measures. However, in many low-and medium …

Intelligent transportation systems (ITSs) derive significant advantages from advanced
models like YOLOv8, which excel in predicting traffic incidents in dynamic urban …

This paper presents our approach for Track 3 (Naturalistic Driving Action Recognition) of the
2023 AI City Challenge, where the objective is to classify distracting driving activities in each …

Traffic incidents have adverse effects on traffic operations, safety, and the economy. Efficient
Automatic Incident Detection (AID) systems are crucial for timely and accurate incident …

Road traffic accidents are the primary cause of injuries and fatalities among children. The
current study focuses on children's (un) safe crossing behaviour in a real traffic situation …