Safe and robust data‐driven cooperative control policy for mixed vehicle platoons

This article considers mixed platoons consisting of both human-driven vehicles (HVs) and automated (AVs). The uncertainties randomness in human driving behaviors highly affect the platoon safety stability. However, most existing control strategies are either for pure AVs, or special formations with known HV models. addresses more general unknown An innovative data-driven policy learning strategy is proposed to design controllers AVs based on vehicle-to-vehicle (V2V) communications. embedded constraints input, inter-vehicular distance error V2V communication topology. establishes a safe robustly stable using prescribed topologies. efficacy verified through simulations different topologies leader velocity profiles.