Services for AI tasks have garnered a lot of attention as an integral aspect of intelligent
services in the new era. However, implementing such a system in a stable and distributed …

Predicting vehicle trajectories and ensuring safe and efficient trajectory planning are critical
for the operational efficiency and safety of automated vehicles, especially on congested …

The rapid development of CAV technology has revolutionized urban transportation by
introducing innovative approaches to enhance traffic efficiency. Leveraging advanced …

Traffic congestion is a prevalent traffic phenomenon in many cities all over the world, which
leads to traffic safety, environmental pollution, and some other problems, and limits the …

A Survey on the Use of the Multi-agent Paradigm in Coordination of Connected and
Autonomous Vehicles | SpringerLink Skip to main content Advertisement SpringerLink Account …

This paper presents a parallel distributed framework for cooperative control of of connected
and automated vehicles (CAV) with low communication traffic. With this framework, the …

In the last few years, researchers have applied machine learning strategies in the context of
vehicular platoons to increase the safety and efficiency of cooperative transportation …

This dissertation presents a distributed platoon control strategy of connected and automated
vehicles (CAVs) based on physics-informed Deep Reinforcement Learning (DRL) for mixed …

User trust is pivotal to autonomous vehicle (AV) operations which are driven by artificial
intelligence (AI). A promising way to build user trust is to use explainable artificial …

Traditional CACC systems utilize inter-vehicle wireless communication to maintain minimal
yet safe inter-vehicle distances, thereby improving traffic efficiency. However, introducing …