A hybrid model for model predictive control of urban traffic
Francesco Basile, Pasquale Chiacchio, Domenico Teta · 2007
In this preliminary paper the simulation of an efficient hybrid model is presented to predict the behavior of an urban area as controlled by a certain control strategy. Intersections and on-ramps are modelled by Timed Petri Nets while road links are modelled by a stochastic discrete time model. It is assumed that vehicle routings at each intersection are stochastic. An algorithm for the on-line identification of routing rates is presented. The control inputs are traffic lights' switching times. The aim is to minimize the average number of vehicles in the urban area over a fixed time horizon to avoid a traffic congestion in the area.