Motion planning and control of connected and autonomous vehicles (CAVs) for improving
traffic efficiency and safety in intersections still meets many challenges due to its dynamic …

This paper proposes an iterative learning-based cooperative motion planning and decision-
making approach to achieve time-optimal coordination control of connected and …

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

Multi-vehicle coordinated motion planning has always been challenged to safely and
efficiently resolve conflicts under non-holonomic dynamic constraints. Constructing spatial …

In this paper, we propose a cooperative motion planning method for a group of connected
and automated vehicles (CAVs) crossing a lane-free intersection without using explicit traffic …

As conservative intersection management, signalized intersection has a significant
bottleneck in improving traffic efficiency when it comes to connected autonomous vehicles …

Since vehicles from multiple roads frequently merge at intersections, it formulates a typical
traffic bottleneck of modern transportation systems. Proper vehicle coordination and motion …

This paper develops a distributed cooperative control logic to determine conflict-free
trajectories for connected and automated vehicles (CAVs) in signal-free intersections. The …

This paper addresses the problem of optimally coordinating connected vehicles crossing an
intersection without any explicit traffic signals. We propose a game-in-game framework that …

Uncoordinated driving behavior is one of the main reasons for bottlenecks on freeways. This
paper presents a novel cyber-physical framework for optimal coordination of connected and …