activity
20192021
most citedFormation Control with Lane Preference for Connected and Automated Vehicles in Multi-lane Scenarios

8 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2021

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…

cs.RO2021★ 8 cited

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…

math.OC2021★ 6 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.SY2020★ 3 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…

eess.SY2019★ 3 cited

A Negotiation-based Right-of-way Assignment Strategy to Ensure Traffic Safety and Efficiency in Lane Change

Can Zhao, Zhiheng Li, Li Li +3

It is widely acknowledged that verifying the safety of autonomous driving strategies requires a substantial body of simulation testing and road testing. In recent years, the formal…