Abstract
This article exploits macroscopic information for the control of autonomous vehicles in platoon formation in case of external disturbances. The use of such information leads to smoother platooning. A mesoscopic controller is proposed, and disturbance string stability is proven through input-to-state stability concepts. Simulations prove the efficacy of the proposed approach by showing its robustness with respect to the presence of perturbations acting on the platoon vehicles.
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