most citedControllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehicles

10 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY20211 cited

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…

eess.SY2021

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…

math.OC20216 cited

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…

eess.SY20203 cited

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…

math.OC202010 cited

Controllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehicles

Jiawei Wang, Yang Zheng, Qing Xu +2

Connected and automated vehicles (CAVs) have a great potential to improve traffic efficiency in mixed traffic systems, which has been demonstrated by multiple numerical simulations…