Supervisory control for optimal route guidance in intelligent vehicle highway systems based on hybrid network models

Abstract

This paper is devoted to the problem of optimal route guidance in intelligent vehicle highway systems to provide travellers with information minimizing the travel time as a kind of advanced traveller information systems. In order to deal with this problem, we first introduce a hybrid network model by incorporating the high-level discrete event model with the low-level flow dynamics model. Based on it, two feasible control policies are proposed employing supervisory control theory and then followed by a comparative simulation study.