Russian Federation
Russian Federation
Purpose: Improving the efficiency of the line functioning based on the development of a procedure for planning the operation of low-intensity railway lines based on neural networks. Methods: Methods of analysis, synthesis, machine learning, neural network modeling have been applied. Results: Using regression multiple analysis and mathematical tools, a set of neural network models for planning the operation of a low-intensity railway line according to a set of indicators has been developed. Planning parameters have been determined, which enable the railway line operations to achieve a positive financial outcome. Practical significance: The conducted research is an effective tool for improving the planning of the work of low-intensity railway lines.
Low-intensity railway lines, work planning, machine learning, regression analysis, neural networks
1. Nikitin A. B. Novyy podhod k organizacii dvizheniya poezdov na malodeya-tel'nyh liniyah OAO «RZhD» / A. B. Nikitin, I. V. Kushpil', I. M. Kokurin i dr. // Avtomatika na transporte. - 2018. - T. 4. - № 4. - S. 561-579.
2. Prikaz Minfina Rossii ot 6 maya 1999 g. № 32n (red. ot 27 noyabrya 2020 g.) «Ob utverzhdenii Polozheniya po buhgalterskomu uchetu “Dohody organizacii” PBU 9/99» (zaregistrirovano v Minyuste Rossii 31 maya 1999 g. № 1791).
3. Kul'ba V. V. Upravlenie i kontrol' realizacii social'no-ekonomicheskih programm / V. V. Kul'ba, S. S. Kovalevskiy. - M.: Knizhnyy dom «LIBROKOM», 2009. - 400 s.
4. Novichihin A. V. Kognitivnoe modelirovanie dlya diagnostiki social'no-ekonomicheskih sistem toplivno-syr'evogo regiona / A. V. Novichihin, V. N. Fryanov // Ekonomika i menedzhment sistem upravleniya. - 2014. - № 2. - S. 72-83.
5. Mikrin E. A. Sintez optimal'nyh raspredelennyh modul'nyh sistem obra-botki dannyh real'nogo vremeni / E. A. Mikrin, V. V. Kul'ba, S. K. Somov. - M.: IPU RAN, 2012. - 160 s.
6. Kovalev K. E. Kompleksnyy sinergetiko-indikatornyy podhod k upravleniyu processami perevozok na intensivnyh i malodeyatel'nyh liniyah / K. E. Kovalev, A. V. Novichihin // Avtomatika na transporte. - 2021. - T. 7. - № 2. - S. 252-267. - DOI:https://doi.org/10.20295/2412-9186-2021-7-2-252-267.
7. Kovalev K. Interaction of intensive and low-density lines: management approach and models / K. Kovalev, A. Novichikhin // Lecture Notes in Networks and Systems. - 2022. - Vol. 402 LNNS. - S. 701-709. - DOI: doi.org/10.1007/978-3-030-96380-4_76.
8. Kovalev K. E. Mehanizm diagnostiki ekspluatacii malointensivnyh zhelez-nodorozhnyh liniy na osnove nechetkogo kognitivnogo modelirovaniya / K. E. Kovalev, A. V. Novichihin, I. L. Sakovich i dr. // Avtomatika na transporte. - 2023. - T. 9. - № 1. - S. 72-86.
9. Preyskurant № 10-01. Tarify na perevozku gruzov i uslugi infrastruktury, vypolnyaemye rossiyskimi zheleznymi dorogami (utv. postanovleniem FEK RF ot 17 iyunya 2003 g. № 47-t/5). - 463 s.
