A MILP-based MPC Method for Traffic Signal Control of Urban Road Networks

In this paper, a traffic signal control method via MILP-based model predictive control (MPC) was proposed. We use a macroscopic traffic flow model to describe traffic flows of urban road networks. In the model, 0-1 binary variables were used to describe the switch process of green lights and red lights at each intersection. Under the framework of MPC, aiming at reducing the computational complexity, an original MPC-based traffic signal control problem was reformulated as a mixed integer linear programming (MILP) problem which is conveniently calculated with efficient MILP solvers. Finally, numerical experiments based on a test network were implemented to study the validity of the reported method.