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Algorithm for Digitalising Technological Schedules of Train Processing Operations at Railway Stations

https://doi.org/10.30932/1992-3252-2024-22-4-2

Abstract

Changing volumes of cargo transportation necessitate accelerated movement of cargo flows, including by modifying the technology of trains’ transit through the railway infrastructure. In such conditions, it is necessary to create digital models, the purpose of which is to reproduce the work of the original. The results obtained following the operation of the digital model will serve as a rationale for further development of options for operation of the simulated object, aimed at fulfilling the up-and-coming indicators of operation of railway transport.

In this regard, as part of the study, an algorithm for digitalising technological schedules of train processing operations. The purpose of the developed algorithm is to build software conform to its structure that ensures operational automated accounting of the technology of operations of original railway facilities in the conditions of transforming analogue information into its digital type. An algorithm based on a machine learning model was created using program, structural and system methods. The accuracy of determining the input technological operation is assessed by the purity of the information node, and more than 120 technological schedules of train processing operations at various railway stations were digitalised during the experiment.

About the Authors

Zh. Yanev
Russian University of Transport; Design & Research Institute for Information Technology, Signaling and Telecommunication on Railway Transport (JSC NIIAS)
Russian Federation

Zhivko Yanev - Senior Lecturer at the Department of Railway Stations and Transport Hubs of Russian University of Transport; Chief Simulation Modelling Specialist of Scientific and Technical Complex for Digital Modelling (STC DM) named after V.I. Umansky of Research and Design Institute of Informatization, Automation and Communications in Railway Transport (JSC NIIAS).

Moscow

Russian Science Citation Index AuthorID 1092590



N. V. Lugovsky
Design & Research Institute for Information Technology, Signaling and Telecommunication on Railway Transport (JSC NIIAS)
Russian Federation

Nikita V. Lugovsky - Analyst of Scientific and Technical Complex for Digital Modelling (STC DM) named after V.I. Umansky of Research and Design Institute of Informatization, Automation and Communications in Railway Transport (JSC NIIAS).

Moscow



Yu. O. Pazoysky
Russian University of Transport
Russian Federation

Yuri O. Pazoysky - D.Sc. (Eng), Professor, Head of the Department of Railway Stations and Transport Hubs of Russian University of Transport.

Moscow

Russian Science Citation Index AuthorID 403168



S. V. Kalinin
Design & Research Institute for Information Technology, Signaling and Telecommunication on Railway Transport (JSC NIIAS)
Russian Federation

Sergey V. Kalinin - Deputy Director of Scientific and Technical Complex for Digital Modelling (STC DM) named after V.I. Umansky of Research and Design Institute of Informatization, Automation and Communications in Railway Transport (JSC NIIAS).

Moscow

Russian Science Citation Index AuthorID 403168



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For citations:


Yanev Zh., Lugovsky N.V., Pazoysky Yu.O., Kalinin S.V. Algorithm for Digitalising Technological Schedules of Train Processing Operations at Railway Stations. World of Transport and Transportation. 2024;22(4):13-21. https://doi.org/10.30932/1992-3252-2024-22-4-2

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ISSN 1992-3252 (Print)