Agent-Based Simulation Model of Passenger Flow Distribution in Urban Railway Network

Abstract

According to characteristics of passenger flow distribution in urban railway network, proportion factors were defined to present statistic characteristics of passenger distribution at stations. An agent-based simulation model was presented to describe interactive effect among passengers, stations and trains. Two series of scenario experiments were designed, considering passenger distribution at stations and trains frequency. Station factor experiments show that increase of transfer passenger proportion of major transfer direction has different effects on passenger numbers at stations with different locations. Train headway experiments show that adjustment of train service frequency in circle line, compared with radial line, has an obvious effect on passenger flow in network. Experiment results in case study prove the validity of the simulation model on reflecting passenger distribution characteristics in urban railway network.