Cyber-attack-aware optimization for cooperative control of connected and autonomous vehicle platoons

Connected and Automated Vehicles (CAVs) platooning technology has great potential to increase road capacity, relieve traffic congestion, and improve road safety. However, the open-access VANETs vehicular network is vulnerable to malicious cyber attackers. To address this problem, a synthesis CAVs platooning control system has been developed in this paper, which integrates the Cybersecurity Attack-Defense and Anomaly-Data-Detection functions. This platooning system is composed of three subsystems, the sensors and communication subsystem, the cyber-attack detection and defense subsystem, and the decision-making subsystem. To validate the performance of the developed synthesis CAVs platooning system, a life-like simulation testing platform is developed in this study. Then, a series of numerical simulation experiments are conducted to test the performance of the developed synthesis CAVs platooning system. The experimental results reveal that the developed synthesis CAVs platooning control system can not only effectively and swiftly identify cyberattacks, but also significantly mitigate the impacts of malicious cyberattacks.