This work deals with the Multi-Vehicle Trajectory Planning (MVTP) problem in unstructured
conflict areas. Compared with MVTP on structured roads, the more complex intersection and …

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

In the real-time decision-making and local planning process of autonomous vehicles in
dynamic environments, the autonomous driving system may fail to find a reasonable policy …

Autonomous vehicles hold the potential to significantly improve traffic efficiency and
advance the development of intelligent transportation systems. With the progression of …

Connected and automated vehicles (CAVs) have the potential to improve traffic throughput
and achieve a more efficient utilization of the available roadway infrastructure. They also …

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

This paper considers the problem of cooperative trajectory planning for multiple,
communicating, automated vehicles in general non-hazardous on-road scenarios …

This paper focuses on the multi-vehicle motion planning (MVMP) problem for cooperative
lane changes of connected and automated vehicles (CAVs). The predominant decentralized …

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 planning time-optimal trajectories for multiple
cooperative agents along specified paths through a static road network. Vehicle interactions …