In complex driving scenarios, automated vehicles should behave reasonably and respond
adaptively with high computational efficiency. In this paper, a computational efficient motion …

Trajectory planning in mixed traffic scenarios is a critical and demanding task in autonomous
driving, since it necessitates addressing intricate interactions among traffic agents while …

In this article, we focus on the design, test and validation of a hierarchical control framework
capable of optimizing lane change trajectories and steering the motion of multiple …

The rapid development of vehicle‐to‐everything (V2X) communication technologies
significantly promotes the revolution of intelligent transportation systems. V2X …

Vehicles are highly coupled and multi-degree nonlinear systems. The establishment of an
appropriate vehicle dynamical model is the basis of motion planning for autonomous …

The Trajectory Planning Module is a key component of the Autonomous Driving System
which is central to the realization and widespread use of Autonomous Vehicles. However, in …

This paper presents a Vehicle-Platoon-Aware Bi-Level Optimization Algorithm for
Autonomous Intersection Management (VPA-AIM) to coordinate the merging of Connected …

Uncontrolled intersections are important and challenging traffic scenarios for autonomous
vehicles. Vehicles not only need to avoid collisions with dynamic vehicles instantaneously …

Heterogeneous autonomous vehicle (HAV) coordinated motion planning must guide each
vehicle out of the conflict zone based on the differences in vehicle platform characteristics …

Improving the capacity of intersections is the key to enhancing road traffic systems.
Benefiting from the application of Connected Automated Vehicles (CAVs) in the foreseeing …