On passenger flow data models for urban railways

Dmitry Namiot, Oleg Pokusaev, Varvara Lazutkina


The article deals with issues related to the calculation (forecasting) of passenger traffic for urban railways. The article is a survey of research related to forecasting the number of passengers for new lines of urban railways. We consider the data sources for building the forecast, as well as models that can be used to obtain digital estimates. The sources of data discussed in this paper include migration data that can be collected using telecommunications operators, as well as information on the use of public transport, obtained from the validation of transport cards. Also, the paper considers the methods of forecasting passenger traffic, based on the analysis of network topology. The last section is devoted to the visualization of transport data.

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