Connected autonomous vehicles have the potential to cooperate at a higher level than
human drivers, for instance to navigate busy intersections with relaxed traffic rules. This …

Road intersections represent the primary bottleneck in transportation systems and
connected autonomous vehicles (CAVs) have the potential to aleviate the problem through …

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 …

Cooperative driving emerges as a promising way to improve efficiency and safety for
Connected and Automated Vehicles (CAVs). Its key idea is to design a strategy to schedule …

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 …

Emergency vehicle (EV) prioritization plays an important role in improving rescue efficiency
and saving lives and property. Most existing studies have been confined to either …

In this paper, we propose a collision avoidance algorithm for multi-vehicle systems, which is
a common problem in many areas, including navigation and robotics. In dynamic …

This paper addresses the motion coordination problem of autonomous vehicles that
approach an intersection of a traffic network. The proposed approach assumes that there is …

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

This work formulates the multi-vehicle lane change motion planning task as a centralized
optimal control problem, which is beneficial in being generic and complete. However, a …