A receding horizon event-driven control strategy for intelligent traffic management
Walter Lúcia, Giuseppe Franzè, Domenico Famularo · Discrete Event Dynamic Systems · 2021
Abstract In this paper, the intelligent traffic management within a smart city environment is addressed by developing anad-hocmodel predictive control strategy based on an event-driven formulation. To this end, a constrained hybrid system description is considered for safety verification purposes and a low-demanding receding horizon controller is then derived by exploiting set-theoretic arguments. Simulations are performed on the train-gate benchmark system to show the effectiveness and benefits of the proposed methodology.