On the Analysis of Moscow Metro Passenger Flows

Abstract

The paper considers the model of analysis of passenger traffic of the Moscow Metro. The initial information for the analysis is the correspondence matrix describing the number of passengers traveling between pairs of metro stations for a specified time interval. This kind of data is collected on the basis of information from mobile operators. This kind of information is a widely used approach to the presentation of transport data. The article contains a detailed review of transport data analysis models. The paper proposes an approach to the classification of metro stations by type of passenger traffic. The proposed approach compares the entrances and exits of passengers for stations. It is the ratio of these parameters, developed in time, presents the basis for the classification of stations (assigning stations to one of the classes that differ in the nature of the ratio of passenger entry and exit). This allows us, for example, to determine the working and residential areas of the city, as stations where they come to work, and stations from where they go to work. Such an analysis makes it possible to determine the stations that are the receiving point of the external passenger traffic. In some cases, this will be explained by the presence of a number of railway stations and transport hubs, in some cases this will be evidence of the presence of some relatively implicit (unknown) processes in the city (for example, bus lines from the suburbs). Also, changes in the found patterns can serve as evidence of some changes in the life of the city.

Author Biographies

Filipp Semenovich Pomatilov, Lomonosov Moscow State University

graduate Faculty of Computational Mathematics and Cybernetics

Dmitry Evgenyevich Namiot, Lomonosov Moscow State University

Senior Researcher of the Laboratory of Open Information Technologies, Faculty of Computational Mathematics and Cybernetics, Ph.D. (Phys.-Math.)

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Published
2019-07-25
How to Cite
POMATILOV, Filipp Semenovich; NAMIOT, Dmitry Evgenyevich. On the Analysis of Moscow Metro Passenger Flows. Modern Information Technologies and IT-Education, [S.l.], v. 15, n. 2, p. 375-385, july 2019. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/515>. Date accessed: 12 july 2025. doi: https://doi.org/10.25559/SITITO.15.201902.375-385.
Section
Smart Cities: standards, cognitive-information technologies