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Enhancing vehicular platoon stability in the presence of communication Cyberattacks: A reliable longitudinal cooperative control strategy.

Authors :
Li, Zihao
Zhou, Yang
Zhang, Yunlong
Li, Xiaopeng
Source :
Transportation Research Part C: Emerging Technologies. Jun2024, Vol. 163, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

• Reliability evaluation of V2V traffic states using measurements from onboard sensors. • Reliable cooperative string stable control for CAVs under communication cyberattacks. • String stability proof for CACC system considering falsified states. This study proposes a reliable longitudinal distributed control strategy for connected and automated vehicles (CAVs) in the presence of communication cyberattacks. The proposed strategy is designed to utilize dependable measurements from onboard sensors to evaluate the reliability of vehicle-to-vehicle (V2V) information and enhance the platoon string stability in an integrated manner. Specifically, this paper proposes a real-time reliability evaluation mechanism for the ego vehicle based on sensing and communication information from multiple predecessors, employing an upper-tailed chi-squared test. The mechanism is then incorporated into a distributed multi-predecessor linear feedback controller to adaptively weigh the preceding vehicles' information, ensuring robustness against cyberattacks and maintaining the string stability of the vehicular platoon. To better understand the whole framework, sufficient conditions of true string stability and pseudo string stability are theoretically derived, unveiling the disturbance amplification jointly impacted by measurement accuracy of onboard sensors, cyberattack severity in V2V communication, and control parameters. Numerical experiments are conducted to validate the controller across various types of communication cyberattacks. The results suggest that the proposed control strategy can significantly alleviate the impact of cyberattacks and simultaneously dampen traffic oscillations effectively. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0968090X
Volume :
163
Database :
Academic Search Index
Journal :
Transportation Research Part C: Emerging Technologies
Publication Type :
Academic Journal
Accession number :
177485057
Full Text :
https://doi.org/10.1016/j.trc.2024.104660