Multi-agent Model based Simulation of Passenger Flow on a Shinkansen Station Platform in the Peak Season

Abstract

During peak seasons, Shinkansen station platforms are considerably congested because many passengers stay in queues to board a train. It is essential to estimate effective countermeasures so that passengers can board and alight from trains smoothly and trains can depart without delays. In order to estimate the countermeasures in advance, we have developed a multi-agent simulator, in which not only a passenger but also the baggage is expressed as an agent. In this paper, we present the structure of the simulator and show the results of numerical analysis for several different types of passenger alignments and the influence of platform screens to the times of boarding and alighting.