129 citations · 251 across the 18 of their papers we have counts for
19 papers
From Optimizable to Interactable: Mixed Digital Twin-Empowered Testing of Vehicle-Infrastructure Cooperation Systems
Jianghong Dong, Chunying Yang, Mengchi Cai +4
Sufficient testing under corner cases is critical for the long-term operation of vehicle-infrastructure cooperation systems (VICS). However, existing corner-case generation methods…
Multisource human-in-the-loop digital twin testbed for connected and autonomous vehicles in mixed traffic flow
Jianghong Dong, Chunying Yang, Mengchi Cai +5
In the emerging mixed traffic environments, Connected and Autonomous Vehicles (CAVs) have to interact with surrounding human-driven vehicles (HDVs). This paper introduces MSH-MCCT…
Predictive Risk Analysis and Safe Trajectory Planning for Intelligent and Connected Vehicles
Zeyu Han, Mengchi Cai, Chaoyi Chen +6
The safe trajectory planning of intelligent and connected vehicles is a key component in autonomous driving technology. Modeling the environment risk information by field is a prom…
Mixed Platoon Control under Noise and Attacks: Robust Data-Driven Predictive Control and Human-in-the-Loop Validation
Shuai Li, Chaoyi Chen, Haotian Zheng +4
Controlling mixed platoons, which consist of both connected and automated vehicles (CAVs) and human-driven vehicles (HDVs), poses significant challenges due to the uncertain and un…
Feature Map Convergence Evaluation for Functional Module
Ludan Zhang, Chaoyi Chen, Lei He +1
Autonomous driving perception models are typically composed of multiple functional modules that interact through complex relationships to accomplish environment understanding. Howe…
Robust Data-EnablEd Predictive Leading Cruise Control via Reachability Analysis
Shuai Li, Chaoyi Chen, Haotian Zheng +3
Data-driven predictive control promises model-free wave-dampening strategies for Connected and Autonomous Vehicles (CAVs) in mixed traffic flow. However, its performance relies on…
Information Flow Topology in Mixed Traffic: A Comparative Study between "Looking Ahead" and "Looking Behind"
Shuai Li, Haotian Zheng, Jiawei Wang +4
The emergence of connected and automated vehicles (CAVs) promises smoother traffic flow. In mixed traffic where human-driven vehicles (HDVs) also exist, existing research mostly fo…
Mixed Cloud Control Testbed: Validating Vehicle-Road-Cloud Integration via Mixed Digital Twin
Jianghong Dong, Qing Xu, Jiawei Wang +5
Reliable and efficient validation technologies are critical for the recent development of multi-vehicle cooperation and vehicle-road-cloud integration. In this paper, we introduce…
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,…
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…
Cooperation Method of Connected and Automated Vehicles at Unsignalized Intersections: Lane Changing and Arrival Scheduling
Chaoyi Chen, Mengchi Cai, Jiawei Wang +4
The cooperation of connected and automated vehicles (CAVs) has shown great potential in improving traffic efficiency during intersection management. Existing research mainly focuse…
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…
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…
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…
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…