Resilient Automated Intersection Control of CAVs subject to DoS Attacks

This paper tackles the challenge of automated intersection control for connected and automated vehicles (CAVs) subject to Denial-of-Service (DoS) attacks. Such attacks can disrupt vehicular communication, resulting in heightened service time and transmission delays, thereby elevating the risk of collisions at intersections. To address this issue, we propose a resilient automated intersection control system ensuring the secure passage of connected vehicles through non-signalized intersections. To synthesize a resilient controller for the automated intersection control system, we utilize the polytopic overapproximation technique based on the real Jordan form. This technique enables the modeling of system dynamics and uncertainties, facilitating the derivation of sufficient conditions for system stability. Through the resolution of linear matrix inequalities, we determine controller gains that meet these stability conditions. Numerical examples are presented to showcase the efficacy of the proposed control method.