Classification of railway station operation modes based on real data "from the wheel"
https://doi.org/10.46973/0201-727X_2025_1_58
Abstract
A new approach to classifying the operation modes of a railway freight marshalling yard is proposed based on objective data obtained by merging information from various sensors and station systems. A concept for classifying station operation "from the wheel", i. e. based on data from automatic reading devices, is proposed, as opposed to the existing system of calculating station efficiency based on manually entered information. The new concept is described by formalizing such key station indicators as detention of car wagon downtime, operating fleet, and train arrival rate, which are essentially quantitative variables whose values reflect station operation. The application of the proposed approach is shown using statistical data on the operation of the Chelyabinsk-Glavny station as an example, and the station operating modes identified based on an expert assessment of the calculated indicators are described. The development of the given approach as a tool for predictive analytics of the station operation and targeted development of measures to implement the effective functioning of railway marshalling yards is proposed.
About the Authors
A. I. Dolgiy
JSC "Research and Design Institute of Information, Automation and Communication in Railway Transport" (JSC NIIAS)
Russian Federation
Russian Federation
Dolgiy Alexander Igorevich, Candidate of Engineering Sciences, General Director
A. E. Khatlamadzhiyan
JSC "Scientific Research and Design Institute of Information, Automation and Communication in Railway Transport" (JSC NIIAS)
Russian Federation
Russian Federation
Khatlamadzhiyan Agop Yervandovich, Candidate of Engineering Sciences, Associated Professor, Deputy General Director
I. A. Olgeizer
Rostov Branch of JSC “Research and Design Institute of Information, Automation and Communication in Railway Transport” (RostF NIIAS); Rostov State Transport University (RSTU)
Russian Federation
Russian Federation
Olgeizer Ivan Alexandrovich, Candidate of Engineering Sciences, Associate Professor, First Deputy Director of the Branch; Chair “Computer Engineering and Automated Control Systems”, Associate Professor
A. V. Sukhanov
Rostov Branch of JSC “Research and Design Institute of Information, Automation and Communication in Railway Transport” (RostF NIIAS); Rostov State Transport University (RSTU)
Russian Federation
Russian Federation
Sukhanov Andrey Valeryevich, Candidate of Engineering Sciences, Associate Professor, Deputy Head of the Department of Intelligent Information Technologies of the Digital Station; Chair “Computer Engineering and Automated Control Systems”, Associate Professor
References
1. Dolgiy, A. I. Conceptual approach to building a modern platform for managing the transportation process at JSC Russian Railways / A. I. Dolgiy // Proceedings of JSC NIIAS. – 2021. – P. 9–31. – ISBN 978-5-94833-099-0.
2. Patent RU 2680540 C1. System for generating alternative train schedules on a railway network test site during track repair work / I. R. Gurgenidze, R. T. Idiatulin, S. P. Ostroumov [et al.]. – No. 2018120500 ; stated 04.06.2018 ; published 22.02.2019, Bulletin No. 6. – 8 с.
3. Froltsov, V. D. Integrated shift-daily planning of traction resources for trains within the framework of ISUZhT / V. D. Froltsov // Intelligent control systems in railway transport. Computer and mathematical modeling (ISUZhT-2018). – 2018. – P. 21–23. – EDN VTMUSU.
4. Dezhkov, M. A. Increasing the throughput and carrying capacity of the Eastern Polygon through the use of advanced interval train control systems / M. A. Dezhkov, K. A. Tarasov, M. A. Chernin // Reliability. – 2024. – Vol. 24, No. 3. – P. 3–9. – DOI 10.21683/1729-2646-2024-24-3-3-9.
5. Formation of objective performance indicators of a marshalling yard based on “wheel” data / A. E. Khatlamadzhiyan, I. A. Olgeizer, A. V. Sukhanov, V. S. Ierusalimov // Automation in transport. – 2024. – Vol. 10, No. 3. – P. 254–268. – DOI 10.20295/2412-9186-2024-10-03-254-268.
6. Planning station operations based on actual station performance obtained "from the wheel" / S. M. Kovalev, A. V. Sukhanov, I. A. Olgeizer and V. S. Ierusalimov // Proceedings of the Eighth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’24). Lecture Notes in Networks and Systems. – Springer Nature, 2024. – Volume 1, P. 33–42.
7. Digital railway station – from concept to real implementation / V. E. Andreev, A. I. Dolgiy, V. V. Kudyukin [et al.] // Automation, communication, informatics. – 2023. – No. 9. – P. 2–6. – DOI 10.34649/AT.2023.9.9.001.
8. Methodological guidelines for the formation of the functionality of the Digital Railway Station management system. Revision 1.10. Approved by V. E. Andreev, No. 295 dated 12/30/2022. – URL: http://scbist.com/xx3/56534-09-2023-cifrovayazheleznodorozhnaya-stanciya-ot-koncepcii-k-realnomu-vnedreniyu.html (date of access: 03/14/2025).
9. Khatlamadzhiyan, A. E. Unified station platform for information exchange of low-level automation systems / A. E. Khatlamadzhiyan, Yu. F. Zolotarev, I. A. Olgeizer // Automation, communication, informatics. – 2021. – No. 11. – P. 34. – DOI 10.34649/AT.2021.11.11.009.
10. Computer vision as a way to intellectualize hump automation systems / I. A. Olgeizer, A. V. Sukhanov, A. M. Lyashchenko, D. V. Glazunov // Problems of mechanical engineering and automation. – 2022. – No. 1. – P. 46–53. – DOI 10.52261/02346206_2022_1_46.
11. Khatlamadzhiyan, A. E. Integrated post for automated reception and diagnostics of rolling stock at marshalling yards / A. E. Khatlamadzhiyan, A. I. Lebedev // Wagons and carriage facilities. – 2019. – No. 2. – P. 9–13. – ISSN 1817-6089.
12. Shabelnikov, A. N. Integrated automation of a junction marshalling station / A. N. Shabelnikov, A. N. Smorodin // Automation, communication, informatics. – 2018. – No. 4. – P. 12–14. – ISSN 3034-3194.
13. Odikadze, V. R. Development of technology and development of means for monitoring the functioning of the automation system of sorting processes : 05.13.06 "Automation and control of technological processes and production (by industry)": dissertation for the degree of candidate of technical sciences / Odikadze Vladimir Romazovich ; Rostov State Transport University. – Rostov-on-Don, 2008. – 198 p.
14. Zharkov, M. L. Modeling of marshalling yards of the railway network using methods of queueing theory / M. L. Zharkov, M. M. Pavidis // Reliability. – 2021. – Vol. 21, No. 3. – P. 27–34. – DOI 10.21683/1729-2646-2021-21-3-27-34.
Review
For citations:
Dolgiy A.I., Khatlamadzhiyan A.E., Olgeizer I.A., Sukhanov A.V. Classification of railway station operation modes based on real data "from the wheel". Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2025;(1):58-68. (In Russ.) https://doi.org/10.46973/0201-727X_2025_1_58
Views:
15
JATS XML
Email this article 