Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …

With the rapid development of connected autonomous vehicles (CAVs), both road
infrastructure and transport are experiencing a profound transformation. In recent years, the …

Reinforcement learning (RL) has been widely used in the decision-making of autonomous
vehicles (AVs) in recent studies. However, existing RL methods generally find the optimal …

Autonomous intersection management (AIM) guides vehicles to pass through signal-free
intersections individually. Since vehicles are permitted to turn in any direction from any lane …

Connected and automated vehicles (CAVs) have shown great potential in improving traffic
efficiency in the area of intersection management. Numerous researches have been …

Cooperative Driving Automation (CDA) stands at the forefront of the evolving landscape of
vehicle automation, elevating driving capabilities within intricate real-world environments …

Existing research has revealed that multi‐vehicle coordinated decision making and control
can achieve an improvement in both traffic efficiency and driving safety. In the multi‐lane …

Connected and autonomous vehicles (CAVs), unlike conventional cars, will utilise the whole
space of intersections and cross in a lane-free order. This article formulates such a lane-free …

This paper proposes a privacy-preserving distributed collaboration (PPDC) scheme for
connected autonomous vehicles (CAVs) to cross signal-free intersections based on the …

This paper studies the inverse optimal formation control problem for heterogeneous Euler-
Lagrange systems. In order to reduce the impacts of surface vehicles configuration and …