Driving decision-making determines the safety and rationality of autonomous commercial
vehicles. Aiming at the issue of safe driving decision-making, herein, a rear anti-collision …

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

Aiming at the characteristics of connected and autonomous vehicle (CAV) which makes
autonomous decision by perceiving the surrounding environment, a safe potential field …

Risk assessment is important for intelligent vehicles to make safe driving decisions. In some
researches, the risk is modeled as the effect of each environment element on the ego …

Enhancing road safety through a more effective understanding of drivers' behavior is a
viable approach to curbing traffic collisions. When evaluating driving behavior, the selection …

Autonomous driving has been at the forefront of public interest, and a pivotal debate to
widespread concerns is safety in the transportation system. Deep reinforcement learning …

The issue of how to identify the liability of subjects after a traffic accident takes place remains
a puzzle regarding the SAE classification system. The SAE system is not good at dealing …

Road accidents can be caused by different factors such as human factors. Quality of the
decision-making process of drivers could have a considerable impact on preventing …

Autonomous driving technology plays an essential role in reducing road traffic accidents and
ensuring more convenience while driving, so it has been widely studied in industrial and …

The advent of autonomous driving technology offers transformative potential in mitigating
traffic congestion and enhancing road safety. A particularly challenging aspect of traffic …