Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …

Battery electric vehicles (BEVs) have emerged as a promising alternative to traditional
internal combustion engine (ICE) vehicles due to benefits in improved fuel economy, lower …

Connected and automated vehicles (CAVs) have the potential to address a number of
safety, mobility, and sustainability issues of our current transportation systems. Cooperative …

The emergence of connected and automated vehicle (CAV) technology has the potential to
bring a number of benefits to our existing transportation systems. Specifically, when CAVs …

Based on the four-element model, this paper reviewed the important research progress in
vehicle platoon, compared the advantages and disadvantages of different models in each …

This paper proposes a deep reinforcement learning (DRL)‐based distributed longitudinal
control strategy for connected and automated vehicles (CAVs) under communication failure …

With the development of communication and automation technologies, the great energy-
saving potential of connected and automated vehicles (CAVs) has gradually been …

This research conducts a comprehensive review on the social impacts of Cooperative
Automated Driving (CAD), including Infrastructure Enabled Autonomy (IEA). In order for …

Vehicle-to-everything (V2X) communications have emerged as an indispensable
component of the Intelligent Transportation Systems (ITS), fostering innovations that …