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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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This article discusses a discrete-event modeling system for metro passenger flows, which can be used as a basis for building a digital twin of the metro system. The main result of the work is the presentation of a digital twin model that uses movement data collected by telecom operators. This reuse of data simplifies and reduces the cost of development. The proposed model can use the collected data on passenger flows to predict the load on the transport system. Organization of management of the transport system in critical situations can be named as one of the models of application. The model supports easy scaling and expansion. Originally described for a subway system, the model can be used for urban rail systems as well as commuter rail traffic.