Safety decisions for vehicles at an intersection rely on real-time, objective and continuous
assessment of risks in vehicle–pedestrian interactions. Existing surrogate safety models …

With the increased deployment of autonomous vehicles (AVs) in mixed traffic flow, ensuring
safe and efficient interactions between AVs and human road users is important. In urban …

Resolving predicted conflicts is vital for safe and efficient autonomous vehicles (AV). In
practice, vehicular motion prediction faces inherent uncertainty due to heterogeneous …

To deepen the understanding of the impact of car-following driving style (CFDS) on traffic
conflict risk and address the lack of clear CFDS evaluation metrics, this study proposes an …

Traffic conflict detection is essential for proactive road safety by identifying potential
collisions before they occur. Existing methods rely on surrogate safety measures tailored to …

A rise in traffic accidents has led to both traffic congestion and subsequent secondary
accidents. Effectively addressing this issue requires rapid accident investigation and …

Abstract Surrogate Safety Measures (SSMs) are pivotal in road safety due to their efficiency
and effectiveness in vehicle risk assessment. However, traditional SSMs, such as Time-to …

Modeling and learning interactions with surrounding vehicles are critical for the safety and
efficiency of autonomous vehicles. In this paper, we propose TrajPT, a Trajectory data-based …

Unprotected left turns at intersections in right-hand traffic are a critical factor affecting traffic
safety. Traditional risk assessment indicators, which typically rely on vehicle relative …

Interactions between vehicles are extensive at intersections and significantly influence traffic
efficiency and safety. Identifying where vehicle interaction occurs at intersections can …