Feasible Cooperation based Model Predictive Control for freeway traffic systems

This paper proposes a distributed algorithm (Feasible Cooperation based Model Predictive Control, FC-MPC) for the control of freeway traffic systems. FC-MPC will be tested and compared with global, local and communicative MPC techniques in a traffic network of 18 segments with ITS (Intelligent Transport Systems) control signals: ramp meters and variable speed limits. It will be shown that local techniques have a suboptimal behavior and that centralized techniques are very difficult, if not impossible, to implement in real time. Communicative MPC improves the behavior of the controlled system versus the decentralized one. However, the solution is still suboptimal with respect to the centralized performance. On the other hand, FC-MPC is closed to the centralized behavior and has a much lower computational effort that the centralized one.