A dynamic simulation model of passenger flow distribution on schedule-based rail transit networks with train delays

摘要

In a schedule-based rail transit system, passenger route choices are affected by train de-lays, and, consequently, the relevant passenger flow distribution of the network will differ from the normal state. In this paper, a passenger's alternative choices, such as selecting another route, waiting, and switching to other transportation modes, and the corre-sponding influence mechanism are analyzed in detail. Given train time-space diagrams and the time-varying travel demands between the origin and destination (O-D), a dynamic simulation model of passenger flow distribution on schedule-based transit networks with train delays is proposed. Animation demonstration and statistical indices, including the passenger flow volume of each train and station, can be generated from simulation results. A numerical example is given to illustrate the application of the proposed model. Nu-merical results indicate that, compared with conventional methods, the proposed model performs better for a passenger flow distribution with train delays.