Robust control strategy for platoon of connected and autonomous vehicles considering falsified information injected through communication links

Article Engineering, Civil

Development of a Robust Cooperative Adaptive Cruise Control With Dynamic Topology

Lian Cui et al.

Summary: This study proposed a new CACC controller that combines the advantages of two information flow topologies, demonstrated string stability, and showed superior performance compared to other CACC controllers in simulations.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

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Article Transportation Science & Technology

Cooperative signal-free intersection control using virtual platooning and traffic flow regulation

Anye Zhou et al.

Summary: This study proposes a hybrid cooperative intersection control framework combining virtual platooning control and traffic flow regulation for traffic environments with connected autonomous vehicles. Through coordination, vehicles in a virtual platoon are grouped into compatible passing sets to maintain desired safe spacing through the intersection. The effectiveness of the framework is evaluated through numerical experiments.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2022)

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Article Transportation Science & Technology

Worst-case traffic assignment model for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles by factoring in the uncertain link capacity

Jian Wang et al.

Summary: This study introduces a worst-case mixed traffic assignment model to address the issue of uncertain link capacity in mixed traffic flow environments, providing an effective algorithm for solving the problem. Numerical applications demonstrate the significant impact of uncertain link capacity on network performance and flow. The results can assist traffic managers in designing robust planning strategies.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2022)

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Article Engineering, Civil

Human-Lead-Platooning Cooperative Adaptive Cruise Control

Yiming Zhang et al.

Summary: In this study, a Human-Lead-Platoon CACC (HLP-CACC) controller is proposed to include human drivers in the platooning process of connected and automated vehicles. The controller regulates both longitudinal and lateral control, making the followers in an HLP-CACC platoon fully autonomous. The proposed algorithm is validated through simulation tests and field tests, and it shows promising results.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

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Article Computer Science, Hardware & Architecture

Truck platoon security: State-of-the-art and road ahead

Amrita Ghosal et al.

Summary: Trucks form a platoon on freeways to save fuel, using technologies like ACC and V2V communication protocol to control their speed. However, these systems may introduce attack surfaces and be vulnerable to cyber attacks. Analyzing the attack surfaces of a truck platoon can help in developing effective defense systems and countermeasures for future security.

COMPUTER NETWORKS (2021)

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Article Automation & Control Systems

Security Control for LPV System With Deception Attacks via Model Predictive Control: A Dynamic Output Feedback Approach

Jun Wang et al.

Summary: This article investigates security control in a networked system with deception attacks, polytopic uncertainty, and persistent bounded disturbance. The output feedback robust MPC method is used to deal with the immeasurable state and physical constraints. Results from previous studies on output feedback robust MPC are extended to address deception attacks, with mean-square quadratic boundedness defined to characterize closed-loop stability. An optimization problem is proposed and shown to be recursively feasible by updating the state estimation error set, demonstrating effectiveness through numerical simulation.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2021)

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Article Transportation Science & Technology

Optimal toll design problems under mixed traffic flow of human-driven vehicles and connected and autonomous vehicles

Jian Wang et al.

Summary: The study proposes a method to control HDV flow using AVT lanes, and estimates the impact of link tolls on equilibrium flows through the MTA-ED problem, formulating optimal toll design problems.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

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Article Economics