Non-Linear Model Predictive Control Based on Game Theory for Traffic Control on Highways

This paper presents a methodology for traffic control using a distributed model predictive control scheme based on game theory (GT-DMPC). Using the traffic model METANET as prediction model, the control objective is to minimize the total time spent by vehicles in the traffic network. The proposed control methodology is compared with a centralized model predictive control approach and a non-controlled-case. The simulations show that the GT-DMPC controller efficiently distributes the vehicles entering the highway, and presents a similar performance in comparison with centralized MPC.