Subway Traffic Regulation Using Model-Based Predictive Control by Considering the Passengers Dynamic Effect

Abstract

This paper presents a regulation technique based on the model-based predictive control (MPC) for a subway traffic system. The role of passengers in the traffic system has been modeled analytically by considering passenger flow arriving at platforms, passenger demand and the number of passengers at the platforms and in the trains. Three major reasons for passenger discomfort are introduced (waiting and traveling, congestion and jitter discomfort) to develop an appropriate objective function. The MPC approach is used to develop control actions to minimize the objective function by conforming to safety and operational constraints. A simulation was carried out using the specifications of Tehran Metro Line 2, the results of which demonstrate the effectiveness of the proposed method.