Analytical method for shunting movements time standardization in station throats
- Details
- Parent Category: 2026
- Category: Content №3 2026
- Created on 26 June 2026
- Last Updated on 26 June 2026
- Published on 30 November -0001
- Written by D. Kozachenko, Z. Tursymbekova, E. Manafov, T. Bolvanovska, V. Rudyi
- Hits: 1048
Authors:
D. Kozachenko, orcid.org/0000-0003-2611-1350, Ukrainian State University of Science and Technologies, Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.
Z. Tursymbekova*, orcid.org/0000-0001-6483-5451, International University of Transportation and Humanities, Almaty, Republic of Kazakhstan, This email address is being protected from spambots. You need JavaScript enabled to view it.
E. Manafov, orcid.org/0000-0001-5697-577X, National Aviation Academy, Azerbaijan, Baku, Republic of Azerbaijan, This email address is being protected from spambots. You need JavaScript enabled to view it.
T. Bolvanovska, orcid.org/0000-0001-6462-8524, Ukrainian State University of Science and Technologies, Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.
V. Rudyi, orcid.org/0009-0001-0155-2670, Ukrainian State University of Science and Technologies, Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2026, (3): 166 - 174
https://doi.org/10.33271/nvngu/2026-3/166
Abstract:
Purpose. Development and substantiation of a simplified analytical method for determining the duration of shunting movements, based on the use of averaged design parameters of station throats and characteristics of shunting consists.
Methodology. The study employs the methods of railway operation theory, kinematic modelling, integral calculus, mathematical statistics, and simulation modelling.
Findings. The research presented in the paper is aimed at confirming the hypothesis that the average time norm for shunting movements in a station throat is close in value to the time norm for movement over an average distance. Validation of the proposed method by comparing its established norms with the results of simulation modelling showed that the relative calculation error does not exceed 5 %. This confirms the scientific validity of the hypothesis and the suitability of the developed approach for practical use in railway operations.
Originality. The study improves the method for standardising time consumption for shunting movements in station throats. As a result of the research, it is proven that the time norms for shunting movements established based on average distances and the average number of wagons in a shunting consist do not differ significantly from the average time norms for these operations. Unlike existing statistical methods, the proposed method allows for determining norms based on simpler analytical models and is built on a common methodological basis with the norms for wagon transfer.
Practical value. The proposed method allows for a detailed consideration of the local operational features of individual stations and industrial sidings. The method can be used in the design of railway stations and the development of their technological processes. Furthermore, the results presented serve as a basis for research into improving standardisation methods for comprehensive shunting operations.
Keywords: railways, railway stations, shunting operations, station throats, time standards
References.
1. Strelko, O. H. (2015). The analysis of the professor O. M. Frolov’s scientific heritage (1863‒1939) in the field of railway operation. Zaporizhzhia Historical Review, 1(43), 361-364.
2. Kozachenko, D. M., Klyha, O. V., & Kharchenko, Ye. V. (2025). Modeling of train sets in tasks of railway stations technical and operational evaluation. Science and Transport Progress, 2(110), 88-97. https://doi.org/10.15802/stp2025/331674
3. Kozachenko, D. M., Verlan, A. I., & Korobiova, R. H. (2021). Development of Analytical Methods for Calculating Time Standards for Shunting Operations. Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, 1(91), 51-64. https://doi.org/10.15802/stp2021/228097
4. Lashenyh, O., Turpak, S., Gritcay, S., Vasileva, L., & Ostroglyad, E. (2016). Development of mathematical models for planning the duration of shunting operations. Eastern-European Journal of Enterprise Technologies, 5(3(83)), 40-46. https://doi.org/10.15587/1729-4061.2016.80752
5. Ischuka, O., Lomotko, D., & Lomotko, M. (2024). Determination and Assessment of Optimal Values of Resource- and Energy-Efficient Indicators for Shunting Work at Marshalling Station. Proceedings of 28th International Scientific Conference. Transport Means, 288-293. https://doi.org/10.5755/e01.2351-7034.2024.P288-293
6. Kałuża, A. (2016). General statistics of diesel engines’ idle time: shunting locomotives in industrial sidings in Poland 2009‒2013. Transportation Research Part D: Transport and Environment, (49), 82-93. https://doi.org/10.1016/j.trd.2016.08.031
7. Yu, T. (2022). Quality Analysis of Railroad Train Shunting Operation Plan Using the Intelligent Body Model. Advances in Multimedia, 2022, Article ID 4441369, 11 pages. https://doi.org/10.1155/2022/4441369
8. Chuijiang, G. (2021). Optimization model and algorithm for the placing-in and taking-out of wagons in railway stations with branch-shaped goods operating sites. International Journal of Rail Transportation, 9(6), 579-594. https://doi.org/10.1080/23248378.2020.1823254
9. Bakyt, G., Makhanova, A., Mussabekov, M., Ashirbayev, G., Zhamankulov, M., Sarsenov, K., & Mussabekova, A. (2025). Methodology for Assessing the Key Operational Efficiency Indicators for Removal and Shunting Operations of Shunting Locomotives. Communications ‒ Scientific Letters of the University of Zilina, 27(4), B250-260. https://doi.org/10.26552/com.C.2025.048
10. Monastyrskyi, Y., Taran, I., Kokayev, U., & Sistuk, V. (2025). Assessing the performance efficiency of haul trucks and diesel-trolley trucks when changing their technological states and parameters of traffic routes. Mining of Mineral Deposits, 19(2), 47-55. https://doi.org/10.33271/mining19.02.047
11. Kuznetsov, V., Lyubarskyi, B., Kardas-Cinal, E., Yeritsyan, B., Riabov, L., & Rubanik, I. (2020). Recommendations for the selection of parameters for shunting locomotives. Archives of Transport, 56(4), 119-133. https://doi.org/10.5604/01.3001.0014.5650
12. Kostenko, I., Bilokon, I., Lysenko, Y., Chernyshenko, Y., & Riabov, I. (2023). Analysis of shunting locomotive operating modes when performing traction tasks. Transport Systems and Technologies, (42), 18-33. https://doi.org/10.32703/2617-9059-2023-42-2
13. Deveci, H. (2021). Experimental Validation of Mathematical Models for Diesel-Electric Shunting Locomotive Traction Curve. International Advanced Research Journal in Science, Engineering and Technology (IARJSET), 8(7), 1-9. https://doi.org/0.17148/IARJSET.2021.8701
14. Novytskyi, O., Taran, I., & Zhanbirov, Z. (2019). Increasing mine train mass by means of improved efficiency of service braking. E3S Web of Conferences, 123, 01034. https://doi.org/10.1051/e3sconf/201912301034
15. Wang, J., Lin, B., & Jin, J. (2016). Optimizing the Shunting Schedule of Electric Multiple Units Depot Using an Enhanced Particle Swarm Optimization Algorithm. Computational Intelligence and Neuroscience, (1), 1-11. https://doi.org/10.1155/2016/5804626
16. Kozachenko, D., Bobrovskiy, V., Gera, B., Skovron, I., & Gorbova, A. (2021). An optimization method of the multi-group train formation at flat yards. International Journal of Rail Transportation, 9(1), 61-78. https://doi.org/10.1080/23248378.2020.1732235
17. Yang, S., Dong, X., Xu, K., Chen, S., Li, R., Shen, Z.,
Wang, F.-Y., & Xiong, G. (2024). Optimization of Path for Small Shunting Trains in Railway Hubs Based on Improved Simulated Annealing Algorithm. Conference: 2024 IEEE 4 th International Conference on Digital Twins and Parallel Intelligence (DTPI), 366-371. https://doi.org/10.1109/DTPI61353.2024.10778823
18. Bohlin, M., Gestrelius, S., Dahms, F., Mihalak, M., & Flier, H. (2016). Optimization methods for multistage freight train formation. Transportation Science, 50(3), 823-840. https://doi.org/10.1287/trsc.2014.0580
19. Belosevic, I., & Ivic, M. (2018). Variable neighborhood search for multistage train classification at strategic planning level. Computer-Aided Civil and Infrastructure Engineering, 33(3), 220-242. https://doi.org/10.1111/mice.12304
20. Zhang, Y., Hu, R., Zeng, Q., Wang, Y., Liu, Y., & Huang, S. (2023). Optimal Train Platforming with Shunting Operations for Multidirectional Passenger Stations: A Case Study of Guangzhou Station. Mathematics, 11(14), 3136. https://doi.org/10.3390/math11143136
21. Strelko, O., Solovyovа, O., Berdnychenko, Y., Kyrychenko, H., & Solovyovа, L. (2023). Study of the contemporary trends in the development of transport systems of the Ukrainian railways. Acta Scientiarum Polonorum Administratio Locorum 22(2), 263-279. https://doi.org/10.31648/aspal.8444
22. Manafov, E. (2022). Application of artificial intelligence techniques to reduce the loading of the marshalling yard. Transport systems and transportation technologies, (23), 5-10. https://doi.org/10.15802/tstt2022/261643
23. Toropov, B. I., Strelko, O. Н., Hrushevska, T. М., & Bolvanovska, T. V. (2022). Application of system approach in research of technology and equipment of technical stations. Scientific notes of Taurida National V.I. Vernadsky University, series “Technical Sciences”, 33(72), 318-324 https://doi.org/10.32782/2663-5941/2022.5/49
24. Skovron, I., Demchenko, Y., Dorosh, A., & Malashkin, V. (2019). Methods of double direction formation of multi-group trains. Transport systems and transportation technologies, (18), 103-109. https://doi.org/10.15802/tstt2019/182615
25. Veselý, P., Kavička, A., & Krýže, P. (2023). Automated Construction of Mesoscopic Railway Infrastructure Models Supporting Station Throat Capacity Assessment. IEEE Access, 1-33. https://doi.org/10.1109/access.2023.3266813
26. Han, S., Yue, Y.-X., & Zhou, L. (2014). Carrying capacity of railway station by microscopic simulation method. Conference: 2014 IEEE 17 th International Conference on Intelligent Transportation Systems (ITSC), 2725-2731. https://doi.org/10.1109/ITSC.2014.6958126
27. Niculescu, C. P., & Persson, L. E. (2018). Convex Functions and Their Applications: A Contemporary Approach. (2 nd ed.). Cham, Switzerland: Springer Nature. https://doi.org/10.1007/978-3-319-78337-6
Newer news items:
- Artificial intelligence, ERP and firm performance: econometric evidence from Ukrainian industry - 26/06/2026 21:16
- Macroeconomic measures of Bangladesh and Turkish economy - 26/06/2026 21:16
- Energy policy stringency and green digital energy start-ups - 26/06/2026 21:16
- Analysis of labor productivity in the context of technological transformations - 26/06/2026 21:16
- Development of a proactive marketing performance assurance system in the IT sector - 26/06/2026 21:16
- The right of access to information on the state of the environment: legal support in Ukraine - 26/06/2026 21:16
- Franchising in Ukraine: economic and legal aspects of enterprise security - 26/06/2026 21:16
- Modeling the etiology of the effects of the influence of the ecological state of the region on the activities of enterprises - 26/06/2026 21:16
- Investigation of the accuracy of underground control surveying networks through the application of neural network modeling - 26/06/2026 21:16
Older news items:
- A Smart Logistics information and analytics system for last-mile delivery optimisation - 26/06/2026 21:16
- Model for improving the reliability of microservice software during the functional testing phase - 26/06/2026 21:16
- Nonparametric homogeneity criterion for selective formation of an ensemble of time series segments - 26/06/2026 21:16
- RUSLE-GIS water erosion mapping in Bouhmama (Northeastern Algeria) - 26/06/2026 21:16
- Implementation of ecological innovations in Ukrainian industry: current trends and challenges - 26/06/2026 21:16
- Instrumental monitoring of air pollution from power generators with AI-based data analysis: methodology and risk assessment - 26/06/2026 21:16
- Ukraine’s state policy in the field of occupational safety and health in the context of European integration - 26/06/2026 21:16
- Vectors of autogenic successions of vegetation in a granite quarry under drilling and blasting operations - 26/06/2026 21:16
- Relationship between unconscious hazard and perceived safety in organizational management systems - 26/06/2026 21:16
- Exploring properties, durability, and environmental impact of barite rejects aggregates in concrete - 26/06/2026 21:15



