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 concept of Internet-of-Things, autonomous vehicles can provide higher driving
efficiency, traffic safety, and freedom for the driver to perform other tasks. This paper first …

智能车路协同技术是当今国际智能交通领域的前沿技术和必然发展趋势, 是保证安全, 提高效率,
优化能耗, 降低排放的有效手段, 将以集计模型为基础的道路交通流理论提升到以对交通主体的 …

Trajectory planning for connected and automated vehicles (CAVs) has the potential to
improve operational efficiency and vehicle fuel economy in traffic systems. Despite abundant …

To improve the safety and efficiency of the intelligent transportation system, particularly in
complex urban scenarios, in this paper a game theoretic decision-making framework is …

This article investigates the online motion coordination problem for a group of mobile robots
moving in a shared workspace, each of which is assigned a linear temporal logic …

This paper proposes a multi-vehicle cooperation method based on the virtual platoon
concept for unsignalized intersections. The method consists of two levels, ie constraint-tree …

Connected Autonomous Vehicles (CAVs) are expected to enable reliable and efficient
transportation systems. Most motion planning algorithms for multi-agent systems are not …

Abstract In Yangtze River traffic management, to manage ship sequencing and scheduling
effectively and efficiently in restricted waterways has long been a challenging issue. This …

The implementation of optimization-based motion coordination approaches in real world
multi-agent systems remains challenging due to their high computational complexity and …