Complex traffic scenarios at uncontrolled intersections are crucial for the test validation of
autonomous driving systems. The core of the test scenario construction lies in the accurate …

Motivated by the need for simulation tools for testing, verification and validation of
autonomous driving systems that operate in traffic consisting of both autonomous and …

Existing studies on autonomous intersection management (AIM) primarily focus on traffic
efficiency, often overlooking the overall intersection safety, where conflict separation is …

The emergence of intelligent connected vehicles (ICVs) is expected to contribute to
resolving traffic congestion and safety problems; however, it is inevitable that ICV safety …

At uncontrolled intersections, drivers face a more complex traffic environment. The
interactions between vehicles forces drivers to make complex decisions to avoid vehicle …

For a foreseeable future, autonomous vehicles (AVs) will operate in traffic together with
human-driven vehicles. Their planning and control systems need extensive testing …

A major challenge for autonomous vehicles is handling interactions with human-driven
vehicles—for example, in highway merging. A better understanding and computational …

With the development of self-driving technology, the day when autonomous vehicles share
roads with traditional human-operated vehicles seems to be around the corner. This makes …

The decision‐making models that are able to deal with complex and dynamic urban
intersections are critical for the development of autonomous vehicles. A key challenge in …

Conflict analysis using surrogate safety measures (SSMs) has turned into an efficient way to
investigate safety issues in autonomous vehicles. Previous studies largely focus on video …