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

8 citations · 17 across the 4 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.RO20218 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.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…

eess.SY2019

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…