activity
20202026
most citedLeading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String Stability

129 citations · 368 across the 26 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

eess.SY2020★ 129 cited

Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String Stability

Jiawei Wang, Yang Zheng, Chaoyi Chen +2

Connected and autonomous vehicles (CAVs) have great potential to improve road transportation systems. Most existing strategies for CAVs' longitudinal control focus on downstream tr…

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…

math.OC2020★ 19 cited

Mixed platoon control of automated and human-driven vehicles at a signalized intersection: dynamical analysis and optimal control

Chaoyi Chen, Jiawei Wang, Qing Xu +2

The emergence of Connected and Automated Vehicles (CAVs) promises better traffic mobility for future transportation systems. Existing research mostly focused on fully-autonomous sc…

eess.SY2020★ 12 cited

Leading Cruise Control in Mixed Traffic Flow

Jiawei Wang, Yang Zheng, Chaoyi Chen +2

Vehicle-to-vehicle (V2V) communications have a great potential to improve traffic system performance. Most existing work of connected and autonomous vehicles (CAVs) focused on adap…

math.OC2020★ 10 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…