Abstract
The issue of the admission of private locomotive traction to public infrastructure has been repeatedly raised and in the light of recent times is quite relevant. Even though private locomotive traction is present on some low-load railway lines, representatives of the community of rail transport operators (SOJT) continue to lobby their interests to allow their locomotives to use the public infrastructure. Therefore, consideration of the process of admission of private locomotives to public infrastructure is quite relevant. The study of this issue on the basis of simulation modeling allows us to obtain the results of the operation of the station and the polygon in different modes of operation with different initial data. The presented work reflects the features of the description of the technology of operation of one of the junction points of the railways of the Eastern Polygon when implementing the introduction of private locomotive traction on public infrastructure in the AnyLogic simulation system. The operation of the docking station was considered in several modes of operation: by the locomotive fleet of the main carrier and during the implementation of work on the introduction of private locomotive traction (a different number of operators). The result of the work is the identification of possible infrastructural and technological limitations in the implementation of the program for the admission of private locomotives to public infrastructure.
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References
Colin, A. V. (2017). Liberalization of locomotive traction: “For” and “against”, Transport of the Russian Federation. Journal of Science, Practice, Economics, 5(72).
Kozlov, P. A., & Kolokolnikov, V. S. (2018). Calculation and optimization of railway polygons. Bulletin of Rostov State University of Railways, 3, 113–120.
Macheret, D. A., & Ledney, A. Y. (2019). Traffic volumes the key factor in the efficiency of use and development of transport infrastructure. Railway Economy, 4, 28–38.
Malovetskaya, E. V. (2019a). Updating the procedure for calculating the plan for the formation of trains and clarifying the list of indicators of operational work on the basis of simulation modeling taking into account the development of polygon technologies. Modern Knowledge-Intensive Technologies, 1(53), 184–188.
Malovetskaya, E. V. (2019b). The relevance of the use of simulation modeling in calculating the train formation plan considering the development of polygon technologies. Journal “T-Comm – Telecommunications and Transport”, 4, 48–53. https://doi.org/10.24411/2072-8735-2018-10261
Malovetskaya, E. V., Bolshakov, R. S., Dimov, A. V., & Byshlyago, A. A. (2020, February). Planning of qualitative indexes of railroad operational work in polygon technologies. In IOP Conference Series: Materials Science and Engineering (Vol. 760, No. 1, p. 012041). IOP Publishing. https://doi.org/10.1088/1757-899X/760/1/012041
Sotnikov, E. A., & Schoenfeld, K. P. (2011). Uneven freight transportation in modern conditions and its impact on the required throughput of sections. Bulletin VNIIZHT, 5, 3–9.
Titov, G. B. (2013). Methodology for assessing the probability of timely delivery of cargo by rail. Izvestia of St. Petersburg University of Railways, 2(35).
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Malovetskaya, E.V., Bolshakov, R.S., Chernykh, A.B. (2022). Application of Digital Simulation Models of Railway Transport Polygons. In: Rumyantseva, A., Plotnikov, V., Minin, A., Anyigba, H. (eds) Challenges and Solutions in the Digital Economy and Finance. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-14410-3_37
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DOI: https://doi.org/10.1007/978-3-031-14410-3_37
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