Model Free Adaptive Predictive Perimeter Control for an Urban Traffic Network

Most exiting macroscopic fundamental diagram (MFD) based perimeter control methods are regarded as model-based feedback control methods, whose performance is hard to improve in practice due to the fact that traffic flow model is complex and has uncertainties. In this paper, a model free adaptive predictive perimeter control strategy is proposed for an urban traffic network. The control performance is improved by virtue of the prediction data model derived by dynamic linearization technique. The effectiveness of the proposed perimeter control algorithm is verified by comparing with the traditional PID controller in the simulation section.