The paper proposes motion control strategies for automated road vehicles to handle
interactions among vehicles. The control strategies are built in a hierarchical structure, which …

Geometric regularity, which leverages data symmetry, has been successfully incorporated
into deep learning architectures such as CNNs, RNNs, GNNs, and Transformers. While this …

With the commercial application of automated vehicles (AVs), the sharing of roads between
AVs and human-driven vehicles (HVs) will become a common occurrence in the future …

This article proposes a novel cooperative motion planning and decision-making approach
for connected and automated vehicles (CAVs) at unsignalized intersections, where a …

Controlling an autonomous vehicle's unprotected left turn at an intersection is a challenging
task. Traditional rule‐based autonomous driving decision and control algorithms struggle to …

With the support of Vehicle-to-Everything (V2X) technology and computing power networks,
the existing intersection traffic order is expected to benefit from efficiency improvements and …

This paper introduces a novel centralized autonomous inclusive intersection management
mechanism (CAI 2 M 2) for heterogeneous connected vehicles (HCVs). The system …

To improve the driving efficiency and energy‐saving characteristics for large‐scale mixed
traffic flows under different market penetration rates (MPRs) of intelligent and connected …

Navigation in complex urban environments is very difficult, mainly due to perceptual
uncertainty caused by obstructions in the field of view. The perceptual uncertainty is mainly …

Unsignalized intersections pose a challenge for autonomous vehicles that must decide how
to navigate them safely and efficiently. This paper proposes a reinforcement learning (RL) …