Abstract Research on Connected and Automated Vehicles (CAV) has primarily focused on
highway and urban environments, neglecting the significance and dangers of two-lane two …

Jaywalking, as a hazardous crossing behavior, leaves little time for drivers to anticipate and
respond promptly, resulting in high crossing risks. The prevalence of Autonomous Vehicle …

While autonomous vehicles (AVs) show promise, several challenges remain in their
implementation. In this regard, adverse incidents can alter public perceptions and …

Safe decision-making strategy of autonomous vehicles (AVs) plays a critical role in avoiding
accidents. This study develops a safe reinforcement learning (safe-RL)-based driving policy …

Ensuring driving operational safety in emergency scenarios is paramount for autonomous
vehicles to prevent accidents, particularly when vehicle motion completely depends on …

Driving autonomous vehicles through diverse road conditions at various high speeds poses
a significant challenge. To address this challenge, we propose a hierarchical control …

With the rapid development of the hydrogen energy industry and the vigorous promotion of
the application of hydrogen fuel cell vehicles, hydrogen refueling station (HRS) has …

Reinforcement learning methods have shown the ability to solve challenging scenarios in
unmanned systems. However, solving long-time decision-making sequences in a highly …

Autonomous vehicles (AV) offer promising benefits to society in terms of safety,
environmental impact and increased mobility. However, acute challenges persist with any …

Lateral vehicle control is of high importance in automated vehicles as it directly influences
the vehicle's performance and safety during operation. The linear quadratic regulator (LQR) …