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Operational characteristics of railway station located on the Trans-Siberian Railway using simulation modeling

https://doi.org/10.21780/2223-9731-2026-85-2-111-122

EDN: https://elibrary.ru/krmmjj

Abstract

Introduction. Due to the redirection of key logistics flows in Russia to the East (Asia Pacific), increasing throughput capacity of the Trans-Siberian Railway is an urgent task. Addressing this challenge requires a comprehensive assessment of the state of railway transport infrastructure facilities. The aim of this study is to analyse the operational characteristics and determine the maximum throughput capacity of the railway station located in a mountain-pass section of the TransSiberian Railway, which acts as its bottleneck. The authors proposed and applied an original comprehensive tool for railway station operation modeling, which enables to increase the reliability of the research results.

Materials and methods. Simulation was employed as the main research tool. In order to enhance the reliability of the results, two alternative approaches were applied. The first is based on the use of AnyLogic software. The second relies on queuing theory, with the development of the authors’ own software and algorithmic framework.

Results. Two complementary simulation models were developed and used to conduct computational experiments. Based on the results, a scenario analysis of the station operation was performed, including the determination of efficiency indicators for various headways.

Discussion and conclusion. It is established that the considered station is capable of handling train traffic with headways of 11 min or more. Station reconstruction would be required to reduce it. The queuing theory mathematical apparatus may be used to study railway stations operation, which reduces the complexity of model construction and analysis.

About the Authors

M. A. Vlasov
Irkutsk State Transport University
Russian Federation

Matvey A. VLASOV, Postgraduate, Department of Operational Management

664074, Irkutsk, 15, Chernyshevskogo St.



A. L. Kazakov
Irkutsk State Transport University; Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the RAS
Russian Federation

Alexander L. KAZAKOV, Dr. Sci. (Phys.-Math.), Professor, Chief Researcher; Professor, Department of Operational Management

664033, Irkutsk, 134, Lermontova St.; 664074, Irkutsk, 15, Chernyshevskogo St.



A. V. Suprunovsky
Irkutsk State Transport University
Russian Federation

Anton V. SUPRUNOVSKY, Senior Lecturer, Department of Operational Management

664074, Irkutsk, 15, Chernyshevskogo St.



References

1. Zharkov M. L., Kazakov A. L., Suprunovsky A. V. Estimation of line capacity of single-track section of Baikal-Amur Mainline using mass service theory. Russian Railway Science Journal. 2023;82(4):370–384. (In Russ.). https://doi.org/10.21780/2223-9731-2023-82-4-370-384. EDN: https://elibrary.ru/omugju.

2. Sotnikov E.A., Gonik M.M., Khomyakov S.V., Mikhaylov S.V. Simulation model for determining the rational dimensions of the irreducible reserve of locomotives at the stations of its turnover. Russian Railway Science Journal. 2018;77(3):157–164. (In Russ.). https://doi.org/10.21780/2223-9731-2018-77-3-157-164. EDN: https://elibrary.ru/xrroeh.

3. Kozlov P.A., Vakulenko S.P., Evreenova N.Yu. Research methods of projects for the development of transport infrastructure facilities. Academician Vladimir Nikolaevich Obraztsov, the founder of transport science: Proceedings of the International Scientific and Practical Conference, 22 nd October, 2021. Moscow: Russian University of Transport; 2022. P. 174–181. (In Russ.). https://doi.org/10.47581/2022/Obrazcov.25. EDN: https://elibrary.ru/wylmqu.

4. Lyubchenko A.A., Bartosh S.V., Smirnov V.A., Castillo P.Á. Discrete-event model of a railway junction in the AnyLogic environment. Dynamics of Systems, Mechanisms and Machines. 2016;(3):87–92. (In Russ.). EDN: https://elibrary.ru/xbfksh.

5. Rakhmangulov A.N., Kornilov S.N., Mishkurov P.N., Alexandrin D.V. Simulation models in digital twins of railway junctions. Herald of the Ural State University of Railway Transport. 2022;(3(55)):43–59. (In Russ.). https://doi.org/10.20291/2079-0392-2022-3-43-59. EDN: https://elibrary.ru/hhjeev.

6. Alexandrov A.E., Kovalev I.A., Permikin V.Yu., Surin A.V., Lesnykh V.V. Logic verification of optimization model of car traffic processing at marshalling station. Transport of the Urals. 2022;(2(73)):17–22. (In Russ.). EDN: https://elibrary.ru/oxnzrs.

7. Bessonenko S.A., Osipov N.I., Medvedev V.I. Evaluating the effectiveness of interval train control as an alternative to the constructing second main tracks. The Siberian Transport University Bulletin. 2023;(4(67)): 21–29. (In Russ.). https://doi.org/10.52170/1815-9265_2023_67_21. EDN: https://elibrary.ru/getujp.

8. Korol’ R.G., Chislov O.N. Simulation of terminal and logistics processes of foreign trade cargo processing at the Grodekovo border station. Russian Railway Science Journal. 2022;81(3):258–266. (In Russ.). https:// doi.org/10.21780/2223-9731-2022-81-3-258-266. EDN: https://elibrary.ru/cgqhjd.

9. Baginova V.V., Kuzmin D.V. Application of agent routing algorithms in the development of discrete-event simulation models using AnyLogic Railway Library tools. Herald of the Ural State University of Railway Transport. 2023;(2(58)):109–118. (In Russ.). https://doi.org/10.20291/2079-0392-2023-2-109-118. EDN: https://elibrary.ru/pziltm.

10. Vlasov M.A., Kazakov A.L., Suprunovsky A.V. Modeling of a district railway station of the Baikal-Amur Mainline in the AnyLogic environment. Herald of the Ural State University of Railway Transport. 2025;(3(67)): 41–52. (In Russ.). https://doi.org/10.20291/2079-0392-2025-3-41-52. EDN: https://elibrary.ru/oajteh.

11. Dudakova A.V., Upyr R.Yu. Modeling of technological processes on the example of the operation receiving-departure yard train station using AnyLogic simulation environment. Society. 2023;(3-1(30)):37–40. (In Russ.). EDN: https://elibrary.ru/epqmdp.

12. Kornilov S.N., Mishkurov P.N., Antonov A.N. Optimization of the work of industrial railway transport in the conditions of reconstruction at metallurgical enterprises. Vestnik transporta Povolzhya. 2025;(5(113)): 78–84. (In Russ.). EDN: https://elibrary.ru/xbijhk.

13. Sotnikov I.B. Interaction of railway stations and sections. Moscow: Transport; 1976. 270 p. (In Russ.).

14. Dorda M., Teichmann D. Modelling of Freight Trains Classification Using Queueing System Subject to Breakdowns. Mathematical Problems in Engineering. 2013;2013(1):1–11. https://doi.org/10.1155/2013/307652.

15. Shabel’nikov A.N., Shapovalova Yu.V. Modeling of maintenance systems for railway infrastructure facilities based on the theory of mass service. Russian Railway Science Journal. 2018;77(3):165–171. (In Russ.). https://doi.org/10.21780/2223-9731-2018-77-3-165-171. EDN: https://elibrary.ru/xrroep.

16. Moskvichev O.V., Moskvicheva E.E., Gruzd A.A. Scientific and methodological approach to integrating digital technologies in railway freight stations and private tracks. Transport of the Russian Federation. 2025;(3(118)):43–47. (In Russ.). EDN: https://elibrary.ru/xgbqlt.

17. Karasev S.V., Kalidova A.D. Modeling of train flow handling through a limiting single-track section of the route at the organization of highspeed operation using the existing infrastructure. Russian Railway Science Journal. 2018;77(1):34–43. (In Russ.). https://doi.org/10.21780/2223-9731-2018-77-1-34-43. EDN: https://elibrary.ru/yrnrxq.

18. Weik N., Niebel N., Nießen N. Capacity analysis of railway lines in Germany — A rigorous discussion of the queueing based approach. Journal of Rail Transport Planning & Management. 2016;6(2):99–115. https://doi.org/10.1016/j.jrtpm.2016.06.001.

19. Weik N., Nießen N. Quantifying the effects of running time variability on the capacity of rail corridors. Journal of Rail Transport Planning & Management. 2020;15(5):100203. https://doi.org/10.1016/j.jrtpm.2020.100203.

20. Kazakov A.L., Pavidis M.M. On modern methods of studying the operation of a marshalling yard. Transport infrastructure of the Siberian region. 2019;1:110–117. (In Russ.). EDN: https://elibrary.ru/zrnuts.

21. Zharkov M.L., Kazakov A.L., Suprunovsky A.V., Pavidis M.M. Simulation of the world’s largest railway marshalling yard using queuing theory. Herald of the Ural State University of Railway Transport. 2021;(3(51)):4–14. (In Russ.). https://doi.org/10.20291/2079-0392-2021-3-4-14. EDN: https://elibrary.ru/jfibuc.

22. Bychkov I.V., Zharkov M.L., Kazakov A.L. Assessment of technical and technological solutions to the operation of infrastructure on the single-track section of the Eastern polygon. Bulletin of the Unified Scientific Council of JSC “RZD”. 2025;(1-2):41–51. (In Russ.).

23. Bushuev S.V., Kovalev I.A. Restoration of traffic after failures using a virtual train coupling. Transport automation research. 2024;10(1):64–73. (In Russ.). https://doi.org/10.20295/2412-9186-2024-10-01-64-73. EDN: https://elibrary.ru/rxirjc.

24. Weik N. Macroscopic traffic flow in railway systems — A discussion of the applicability of fundamental diagrams. Journal of Rail Transport Planning & Management. 2022;23(5):100330. https://doi.org/10.1016/j.jrtpm.2022.100330.

25. Lempert A.A., Zharkov M.L., Kazakov A.L., Vu G.Z. Modeling of a sea container terminal using a queuning network. Large-Scale Systems Control. 2024;(112):310–337. (In Russ.). https://doi.org/10.25728/ubs.2024.112.15. EDN: https://elibrary.ru/dclwoc.


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For citations:


Vlasov M.A., Kazakov A.L., Suprunovsky A.V. Operational characteristics of railway station located on the Trans-Siberian Railway using simulation modeling. RUSSIAN RAILWAY SCIENCE JOURNAL. 2026;85(2):111-122. (In Russ.) https://doi.org/10.21780/2223-9731-2026-85-2-111-122. EDN: https://elibrary.ru/krmmjj

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ISSN 2223-9731 (Print)
ISSN 2713-2560 (Online)