A Digital Twin is a digital replica of a living or nonliving physical entity, and this emerging
technology attracted extensive attention from different industries during the past decade …

Connected and automated vehicles (CAVs) are supposed to share the road with human-
driven vehicles (HDVs) in a foreseeable future. Therefore, considering the mixed traffic …

In order to enhance driving safety and identify potential hazards, next-generation intelligent
vehicles will need to understand human drivers' intentions and predict their potential …

The connected environment provides information on surrounding traffic and areas beyond
the visual range traffic to improve driving behavior and avoid dangerous incidents. However …

Safety and robustness are crucial factors in developing trustworthy autonomous vehicles.
One essential aspect of addressing these factors is to equip vehicles with the capability to …

Although the issue of sparse expert samples at the early stage of training in inverse
reinforcement learning (IRL) is successfully resolved by the introduction of generative …

Despite numerous studies on trajectory prediction, existing approaches often fail to
adequately capture the multifaceted and individual nature of driving behavior. In recognition …

Accurate prediction of vehicle trajectories is vital for advanced driver assistance systems and
autonomous vehicles. Existing methods mainly rely on generic trajectory predictions derived …

The recent development of cloud computing and edge computing shows great promise for
the Connected and Automated Vehicle (CAV), by enabling CAVs to offload their massive on …

Lane-change trajectory planning of autonomous light trucks is closely related to safety,
driving stability and transportation efficiency, especially in complex road and traffic …