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JOURNALS // Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics // Archive

Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2021 Number 2, Pages 29–38 (Mi vagtu667)

This article is cited in 2 papers

MANAGEMENT, MODELING, AUTOMATION

Modelling commuter trains using correspondence matrix

J. O. Kupitman

Irkutsk State Transport University, Irkutsk, Russian Federation

Abstract: The article considers the problem of planning transport solutions for development and improvement of railway transport in the suburban direction because of impossibility to separate and to describe the flows of requests, as well as to determine the system states. It has been stated that under such conditions the approach using correspondence matrices in modeling looks promising. The applicability of the methods to passenger transportation by railway is being considered. The method of calculating service time of passenger traffic by electric train is described in the case of calculating the service time between the railway stations Irkutsk-Passenger-Shelekhov. Train downtime at each station depends on the number of people waiting, and travel time between stations is stated as constant. There is given a description of a software product, whose algorithm includes this method. With further development of the software and its introduction into internal automated system of Russian Railways it will be possible to calculate the workload of each railway line, to track passenger traffic and to plan an electric train with a suitable number of cars. This will help to increase the efficiency of commuter trains.

Keywords: correspondence matrices, simulation modeling, suburban passenger transportation, railway transport, station, time, passenger traffic density.

UDC: 004.054

Received: 16.03.2021

DOI: 10.24143/2072-9502-2021-2-29-38



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