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Scientific paper ID 2702 : 2025/3
MODELING OF TECHNOLOGICAL OPERATIONS OF RAILWAY STATIONS
Mihail Rangelov The process of modeling technological operations performed at railway stations is applied in the organization of work, increasing efficiency and improving the management of railway transport. Modeling is considered as a tool for analyzing and predicting the behavior of complex logistics systems under different operating conditions. The main technological processes of stations are presented - receiving and sending trains, shunting work, downtime, distribution on tracks and servicing loading and unloading operations. Emphasis is placed on the use of mathematical models, simulation techniques and information systems, through which virtual copies of real processes are created. It is necessary to consider different approaches to optimizing train schedules, infrastructure capacity and the use of available resources. An important element is the study of the possibilities for applying digital technologies and artificial intelligence to automate technological processes at stations and increase the accuracy of decision-making. The advantages of applying modeling in planning the reconstruction of existing stations or the construction of new ones, as well as in developing adaptive real-time control systems, are noted. The article emphasizes the role of modeling as a tool for making informed decisions in the design, operation and modernization of railway stations in accordance with modern ments for transport sustainability and digitalization.
моделиране на технологични операции математическо моделиране симулационно моделиране.modeling of technological operations mathematical modeling simulation modeling.Mihail Rangelov BIBLIOGRAPHY [1] Bai, L., Bourdeaud’huy, T., Rabenasolo, B., & Castelain, E. (2014). A mixed integer linear program for routing and scheduling trains through a railway station. В International Conference on Operations Research and Enterprise Systems (ICORES 2014) (стр. 445–452). DOI:10.5220/0004863104450452 [2] Todorova, M., & Rangelov, M. (2025). Modeling the technology of the Varna ferry complex operation using the queueing theory. In Environment. Technology. Resources. Proceedings of the 16th International Scientific and Practical Conference (Vol. 4, pp. 419–424). Rezekne, Latvia. https://doi.org/10.17770/etr2025vol4.8395 [3] Hansen, I. A. (2004). Optimisation of railway capacity use by stochastic modelling. In Traffic and Transportation Studies Conference (ICTTS) (pp. 1–10). Dalian, China: Science Press. [4] Gao, P., Zheng, W., Liu, J., & Wu, D. (2025). Research on modeling and analysis methods of railway station yard diagrams based on multi-layer complex networks. Applied Sciences, 15(5), 2324. https://doi.org/10.3390/app15052324 [5] Tian, X., & Niu, H. (2017). A dynamic programming approach to synchronize train timetables. Advances in Mechanical Engineering, 9(6), 1–11. https://doi.org/10.1177/1687814017712364 [6] Tomov, K., Dimitrov, P., & Ivanova, M. (2020). An integrated multi criteria and multi objective optimization approach for establishing the transport plan of intercity trains. Sustainability, 12(2), 687. https://doi.org/10.3390/su12020687 [7] Bersani, C., del Cacho Estil les, M. A., & Sacile, R. (2021). Min Max Approach for High Speed Train Scheduling and Rescheduling Models. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3064427... [8] Kuzmin, D., Baginova, V., & Ageikin, A. (2022). Discrete event simulation model of the railway station. Transportation Research Procedia, 63, 1291–1298. https://doi.org/10.1016/j.trpro.2022.06.149... [9] Kongsap, S., & Kaewunruen, S. (2024). Agent Based Modelling of High Speed Railway Interdependent Critical Infrastructure. Frontiers in Built Environment. https://doi.org/10.3389/fbuil.2024.1249584 ... [10] Zhang, Z., Jia, L. & Li, S. (2020). System dynamic model and algorithm of railway station passengers distribution. In Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT 2019) (pp. 513–523). Singapore: Springer. https://doi.org/10.1007/978-981-15-2914-6_4... [11] Zhang, H., Li, B., & Wang, Y. et al. (2023). A multi-agent simulation based train platforming research for facilitating passenger transfer in a high-speed railway station. Simulation Modelling Practice and Theory, 130, 102856. https://doi.org/10.1016/j.simpat.2023.10285... [12] Iqbal, R., Santana, J., & Aryandono, T. (2024). Monte Carlo Simulation for Enhancing the Schedule Completion Forecast of Jakarta Central Railway Station Construction Project. Applied Sciences, 15, 7464. https://doi.org/10.3390/app15137464 [13] Zhang, J., Wang, M., & Sun, L. (2023). Digital twin for multi scenario emergency of railway passenger stations. Frontiers in Physics, 11:1291785. https://doi.org/10.3389/fphy.2023.1291785 [14] Xie, Y., Zhao, Y., Li, Y., & Zhou, X. (2022). Artificial intelligence–empowered resilience-oriented railway timetable rescheduling: A framework and case study. Transportation Research Part C: Emerging Technologies, 140, 103717. https://doi.org/10.1016/j.trc.2022.103717 |
