593 citations · 1.6k across the 24 of their papers we have counts for
24 papers
Implementation and Experimental Validation of Data-Driven Predictive Control for Dissipating Stop-and-Go Waves in Mixed Traffic
Jiawei Wang, Yang Zheng, Jianghong Dong +4
In this paper, we present the first experimental results of data-driven predictive control for connected and autonomous vehicles (CAVs) in dissipating traffic waves. In particular,…
DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic Flow
Jiawei Wang, Yang Zheng, Keqiang Li +1
For the control of connected and autonomous vehicles (CAVs), most existing methods focus on model-based strategies. They require explicit knowledge of car-following dynamics of hum…
Experimental Validation of Multi-lane Formation Control for Connected and Automated Vehicles in Multiple Scenarios
Mengchi Cai, Qing Xu, Chunying Yang +5
Formation control methods of connected and automated vehicles have been proposed to smoothly switch the structure of vehicular formations in different scenarios. In the previous re…
Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections
Yangang Ren, Jianhua Jiang, Dongjie Yu +4
Intersection is one of the most complex and accident-prone urban scenarios for autonomous driving wherein making safe and computationally efficient decisions is non-trivial. Curren…
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…
Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic
Jiawei Wang, Yang Zheng, Qing Xu +1
Cooperative control of Connected and Autonomous Vehicles (CAVs) promises great benefits for mixed traffic. Most existing research focuses on model-based control strategies, assumin…
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…
Conflict-free Cooperation Method for Connected and Automated Vehicles at Unsignalized Intersections: Graph-based Modeling and Optimality Analysis
Chaoyi Chen, Qing Xu, Mengchi Cai +4
Connected and automated vehicles have shown great potential in improving traffic mobility and reducing emissions, especially at unsignalized intersections. Previous research has sh…
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…
Applications of Game Theory in Vehicular Networks: A Survey
Zemin Sun, Yanheng Liu, Jian Wang +7
In the Internet of Things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming Vehicular Networks (VNs) that pr…
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…
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…
Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning
Keqiang Li, Jiawei Wang, Yang Zheng
Cooperative formation and control of autonomous vehicles (AVs) promise increased efficiency and safety on public roads. In mixed traffic flow consisting of AVs and human-driven veh…
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…
Optimal Formation of Autonomous Vehicles in Mixed Traffic Flow
Keqiang Li, Jiawei Wang, Yang Zheng
Platooning of multiple autonomous vehicles has attracted significant attention in both academia and industry. Despite its great potential, platooning is not the only choice for the…
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…
Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization
Yang Guan, Yangang Ren, Shengbo Eben Li +3
Connected vehicles will change the modes of future transportation management and organization, especially at an intersection without traffic light. Centralized coordination methods…
Smoothing Traffic Flow via Control of Autonomous Vehicles
Yang Zheng, Jiawei Wang, Keqiang Li
The emergence of autonomous vehicles is expected to revolutionize road transportation in the near future. Although large-scale numerical simulations and small-scale experiments hav…
Parallel Optimal Control for Cooperative Automation of Large-scale Connected Vehicles via ADMM
Zhitao Wang, Yang Zheng, Shengbo Eben Li +2
This paper proposes a parallel optimization algorithm for cooperative automation of large-scale connected vehicles. The task of cooperative automation is formulated as a centralize…
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving
Xi Xiong, Jianqiang Wang, Fang Zhang +1
With the development of state-of-art deep reinforcement learning, we can efficiently tackle continuous control problems. But the deep reinforcement learning method for continuous c…
Platooning of Connected Vehicles with Undirected Topologies: Robustness Analysis and Distributed H-infinity Controller Synthesis
Yang Zheng, Shengbo Eben Li, Keqiang Li +1
This paper considers the robustness analysis and distributed (H-infinity) controller synthesis for a platoon of connected vehicles with undirected topologies…
Distributed Model Predictive Control for Heterogeneous Vehicle Platoons under Unidirectional Topologies
Yang Zheng, Shengbo Eben Li, Keqiang Li +2
This paper presents a distributed model predictive control (DMPC) algorithm for heterogeneous vehicle platoons with unidirectional topologies and a priori unknown desired set point…