Simulation of Passenger Restriction Measures under Metro Emergencies Based on Route Choice Behavior Analysis

Due to constant ridership pressure and increasing complexity of the metro network structure, emergencies are becoming more frequent in the metro system, and seriously influenced the operation efficiency and lowered service levels to the passengers’. Passenger restriction measures (PRMs) are the most widely used method to reduce emergencies’ impact. However, the efficiency of the PRMs are difficult to evaluate as congestion propagation process is always altered by the PRMs which are usually made based on formal experiences, and the comparison with uninfluenced data is difficult to obtain. In this research, the congestion propagation process under metro emergencies are regarded as the aggregation of passengers’ route choice behaviors, and a simulation environment is established to make comparison between different PRMs, so that the PRMs’ efficiency under metro emergencies could be evaluated. Results show that the proposed method in this research could achieve better understanding upon the effects of the PRMs under metro emergencies, and will provide more efficient measures for emergency passenger control.