Simulation of passenger distribution in urban rail transit in case of emergencies

In this paper, we propose a simulation-based model for solving passenger distribution problem in urban rail transit in case of emergencies. The model assumes that origin-destination demand is given. The duration of the disruption is finite and deterministic. Passengers have full information about the disruption and the rescheduled timetable and will reselect their paths to their destination once the scheduled timetable is adjusted. The model also takes capacity constraints and priority rules into account. All transit vehicles have a fix capacity. For boarding, waiting passengers follow a First-In-First-Out (FIFO) discipline. When a vehicle is full, waiting passenger unable to board must wait for the next vehicle to arrive. Numerical results show that the simulation model is reasonable to show the passenger distribution of the lines and stations under emergencies.