Discrete Event Modeling for Metro System

Oleg Pokusaev, Dmitry Namiot, Alexander Chekmarev


This article discusses a discrete-event modeling system for metro passenger flows. Instead of playing out (emulating) input data streams, it is proposed to use the available historical information about metro passenger traffic, which is presented in the form of so-called correspondence matrices. The proposed model can use the collected data on passenger flows to predict the current load of the transport system. Also, this kind of model can be used as a basis for building a digital twin of the passenger traffic system in the metro. Such a twin will show the current system load at an arbitrary point in time. The model supports easy scaling and expansion. The article discusses modeling for the subway system, but the exact same scheme can be used for both urban rail systems and commuter rail traffic. Organization of management of the transport system in critical situations can be indicated as one of the models of application.

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