10 citations · 28 across the 6 of their papers we have counts for
9 papers
Multi-vehicle experiment platform: A Digital Twin Realization Method
Chunying Yang, Jianghong Dong, Qing Xu +4
With the development of V2X technology, multiple vehicles cooperative control has been widely studied. However, filed testing is rarely conducted due to financial and safety consid…
Multi-lane Unsignalized Intersection Cooperation with Flexible Lane Direction based on Multi-vehicle Formation Control
Mengchi Cai, Qing Xu, Chaoyi Chen +4
Unsignalized intersection cooperation of connected and automated vehicles (CAVs) is able to eliminate green time loss of signalized intersections and improve traffic efficiency. Mo…
Formation Control with Lane Preference for Connected and Automated Vehicles in Multi-lane Scenarios
Mengchi Cai, Chaoyi Chen, Jiawei Wang +4
Multi-lane roads are typical scenarios in the real-world traffic system. Vehicles usually have preference on lanes according to their routes and destinations. Few of the existing s…
Formation Control for Connected and Automated Vehicles on Multi-lane Roads: Relative Motion Planning and Conflict Resolution
Mengchi Cai, Qing Xu, Chaoyi Chen +4
Multi-vehicle coordinated decision making and control can improve traffic efficiency while guaranteeing driving safety. Formation control is a typical multi-vehicle coordination me…
A Graph-based Conflict-free Cooperation Method for Intelligent Electric Vehicles at Unsignalized Intersections
Chaoyi Chen, Qing Xu, Mengchi Cai +6
Electric, intelligent, and network are the most important future development directions of automobiles. Intelligent electric vehicles have shown great potentials to improve traffic…
Coordinated Formation Control for Intelligent and Connected Vehicles in Multiple Traffic Scenarios
Qing Xu, Mengchi Cai, Keqiang Li +3
In this paper, a unified multi-vehicle formation control framework for Intelligent and Connected Vehicles (ICVs) that can apply to multiple traffic scenarios is proposed. In the on…