The emergence of a large number of transport interchange hubs, changes in megalopolis transport system's configuration leads to increasing number of passengers and changing in passenger flows using rail transport, which affects its functioning and requires consideration when creating and organizingthe operation of an intelligent control system for urban rail transport systems. The analysis of the experience in the passenger flows study will make it possible to create new algorithms for forecasting passenger traffic using modern technologies of agent-based modelling and technical vision. The article discusses a parking vehicles model, which allows to consider the factors affecting the duration of parking: passenger traffic, platform unoccupied time, the number of passengers carried, the number of wagons in the train. The article develops structural and mathematical models of passenger flows of a transport interchange hub, designed to study the dynamics of an intelligent control system for urban rail transport systems. As an example, when constructing a mathematical model, the interaction of passenger flows within the Dmitrovskaya transport-interchange hub was considered, in which there is an intersection of passenger flows of three urban rail transport systems: a tramway station, Dmitrovskaya station, which is a station of the Riga direction of Moscow railway and a stopping point of the MCD-2 line of the Moscow Central Diameters, the Dmitrovskaya station of the Moscow Metro.
Intelligent system, management of transport systems, rail transport, modeling, parking model, passenger traffic, transport hub, correspondence matrix, agent-based modeling, technical vision