Structural and functional approach to the development of railway polygon capacity
https://doi.org/10.52170/1815-9265-2025-77-30
Abstract
The transport development strategy in the Russian Federation pays particular attention to the need to develop the transport industry in various directions. Among other things, digitalization plays a crucial role in the development of the transport network. The current geopolitical conditions, in which countries are engaged in competitive struggle, do not allow for mistakes in the design of transport networks. And the increased role of informatization in the decision-making system requires the use of information products. Coordinating the activities of groups of people, as well as being an effective tool for verifying decisions and strategic planning in transport operations. In particular, the functioning of a secure sovereign economy requires the proactive, rather than reactive, development of transport. Simulation modeling is a modern and promising approach with broad potential for localization in the domestic market and the use of domestic developments in this industry. First, the article reveals the features of a scientific approach to management through a systemic orientation. It reveals the structural, functional, and structural-functional impact, with a description of the distinctive features of each. The importance of using simulation models is justified. Second, the article raises questions regarding problems in calculating throughput capacity. The article considers the case of adaptive control as a ‘damper’ based on the use of dynamic reserves and describes optimization during simulation experiments. Thirdly, the article draws attention to the possibilities and necessity of simulation expertise in existing transport network development projects (using the example of the IMETRA IS). The results of experiments are presented, which justify measures to increase the throughput capacity of the railway network. Recommendations are given on the methodology for planning the increase in the throughput capacity of the test site. In conclusion, the article substantiates the conclusion that a simulation model can be used to calculate the technological effect of the measures taken and to justify the choice of the most rational option for increasing the throughput capacity of the test site. The results of scientific research have not only theoretical application, as a natural development of transport science in the Russian Federation, but also practical application. The widespread use of simulation models can result in reduced costs for the construction of new transport infrastructure.
About the Authors
N. A. TushinRussian Federation
Nikolay A. Tushin – Doctor of Engineering, Professor of the Operations Management Department
I. G. Slobodyanyuk
Russian Federation
Inna G. Slobodyanyuk – Candidate of Engineering, Director
P. E. Raevskaya
Russian Federation
Polina E. Raevskaya – Senior Lecturer of the Operations Management Department
K. M. Timukhin
Russian Federation
Kirill M. Timukhin – Candidate of Engineering, Associate Professor of the Stations, Hubs and Cargo Work Department
References
1. Timukhina E. N., Kashcheeva N. V., Kolokolnikov V. S., Koshcheev A. A. Improving the economic efficiency of existing railway transport systems by applying a refined approach to calculating the processing capacity of service devices. The Siberian Transport University Bulletin. 2019;(49):26–33. (In Russ.).
2. Slobodanyuk I. G. Functional approach to modeling transport systems. Transport of the Urals. 2017;(53):96–101. (In Russ.). DOI 10.20291/1815-9400-2017-2-96-101.
3. Kozlov P. A., Kolokolnikov V. S., Tushin N. A. On the loading of switches and the throughput capacity of the throats. Transport of the Urals. 2016;(51):3–7. (In Russ.). DOI 10.20291 / 1815-9400-2016-4-3-7.
4. Kozlov P. A., Tushin N. A., Slobodanyuk I. G. Macromodeling of railway stations and junctions. Science and Technology of Transport. 2015;(2):82–88. (In Russ.).
5. Kozlov P. A., Vladimirskaya I. P. Theoretical foundations of optimization of the structure of transport systems. Science and Technology of Transport. 2009;(4):13–17. (In Russ.).
6. Kozlov P. A., Osokin O. V., Tushin N. A. Organizational approaches and optimization models. World of Transport. 2011;9(38):18–23. (In Russ.).
7. Kozlov P. A., Kozlova V. P., Osokin O. V., Tushin N. A. On the technology of calculating railway transport systems. Transport of the Urals. 2022;(74):3–9. (In Russ.). DOI 10.20291/1815-9400-2022-3-3-9.
8. Aleksandrov A. E. Calculation and optimization of transport systems using models (theoretical foundations, methodology): specialty 05.22.08 ‘Transportation process management’: dissertation for the degree of Doctor of Engineering / Aleksandrov Aleksandr Ernstovich. Ekaterinburg; 2008. 285 p. (In Russ.).
9. Kozlov P. A., Kolokolnikov V. S., Tushin N. A. Calculation of parameters of a harmonically constructed railway network. Railway Transport. 2018;(12):18–21. (In Russ.).
10. Kozlov P. A, Kolokolnikov V. S. Calculation and optimization of railway transport polygons. Bulletin of the Rostov State Transport University. 2018;(71):113–120. (In Russ.).
Review
For citations:
Tushin N.A., Slobodyanyuk I.G., Raevskaya P.E., Timukhin K.M. Structural and functional approach to the development of railway polygon capacity. Bulletin of Siberian State University of Transport. 2025;(5):30-41. (In Russ.) https://doi.org/10.52170/1815-9265-2025-77-30
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