In this paper, the intelligent traffic management within a smart city environment is addressed by developing an ad-hoc model predictive control strategy based on an event-driven formulation. To this end, a constrained hybrid system description is considered for safety verication 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 benets of the proposed methodology.

W. Lucia  G. Franze', D. Famularo, Discrete Event Dynamic Systems: Theory and Applications, http://dx.doi.org/10.1007/s10626-020-00337-7, 2021.