Russian Federation
Russian Federation
Russian Federation
Russian Federation
UDC 656.22
This paper focuses on the challenges associated with managing the transportation processes within contemporary railways in the context of growing integration of digital technologies. Despite a significant degree of automation in data collection and routine operations, the responsibility for making critical decisions during failures and non-standard situations continues to rely on the expertise of dispatchers, as there are currently no universal models to guide these scenarios. The study explores emerging trends in the development of railway operation control centres, including advancements in cloud computing, AI-driven adaptive planning, and system integration. It also high-lights the lack of formalized failure management protocols in large railway networks and proposes a comprehensive assessment model for responding to failure scenarios, ranging from normal operations to various forms of disruptions and delays. Additionally, the paper investigates the concept of information time reserve in the rehabilitation of railway operation control systems.
event graph, artificial neural networks, Markov model, transportation process, operating domain, railway operation centre, automation and remote control on railways
1. Rozenberg E. N. Centry upravleniya perevozkami: evolyuciya i celevoe sostoyanie / E. N. Rozenberg, A. V. Ozerov, N. O. Berestok // Nauka i tehnologii zheleznyh dorog. — 2021. — T. 5. — № 3(19). — S. 9–14.
2. Ozerov A. V. Tehnologii obespecheniya funkcional'noy bezopasnosti i nadezhnosti zheleznodorozhnyh sistem upravleniya / A. V. Ozerov, I. B. Shubinskiy // Kompleksnoe vzaimodeystvie lingvisticheskih i vypuskayuschih kafedr vtehnicheskom vuze: mezhdunarodnaya nauchno-prakticheskaya konferenciya, posvyaschennaya 125-letiyu RUT (MIIT), Moskva, 27 maya 2021 goda. — M.: Rossiyskiy universitet transporta, 2021. — S. 259–264.
3. Dolgiy A. I. Oblachnye tehnologii dlya otvetstvennyh sistem zheleznodorozhnogo transporta / A. I. Dolgiy, E. N. Rozenberg, A. V. Ozerov // Zheleznodorozhnyy transport. — 2023. — № 11. — S. 20–25.
4. Ozerov A. V. O postroenii modeli bezopasnosti slozhnoy avtomaticheskoy sistemy transportnogo obsluzhivaniya / A. V. Ozerov, A. M. Ol'shanskiy // Nadezhnost'. — 2021. — T. 21. — № 2. — S. 31–37. — DOI:https://doi.org/10.21683/1729- 2646-2021-21-2-31-37.
5. Shubinskiy I. B. Strukturnaya nadezhnost' informacionnyh sistem: metody analiza / I. B. Shubinskiy. — M.: OOO «Zhurnal “Nadezhnost'”», 2012. — 216 s. — DOI:https://doi.org/10.21683/1729-2646-2013-0-2-145.
6. Maron A. I. Optimizaciya upravleniya processami vnedreniya i obsluzhivaniya krupnomasshtabnyh informacionnyh sistem / A. I. Maron. — M.: NNRIUiE, 2008. — 80 s.
7. Heyt F. Matematicheskaya teoriya transportnyh potokov / F. Heyt. — M.: Mir, 1966. — 288 s.
8. Breiman L. The Poisson tendency in traffic distribution /L. Breiman // Annals of Mathematical Statistics. — 1963. — Vol. 34. — Iss. 1. — Pp. 308–311.
9. Haykin S. Neyronnye seti: polnyy kurs / S. Haykin. — 2-e izd. — M.: Vil'yams, 2006. — 1184 s.
10. Ol'shanskiy A. M. Nekotorye aspekty funkcionirovaniya krupnyh vertikal'no integrirovannyh sistem / A. M. Ol'shanskiy, N. V. Kondrahina // Zheleznodorozhnyy transport na sovremennom etape. 70 let aspiranture OAO VNIIZhT: sbornik trudov uchenyh OAO VNIIZhT / pod red. B. M. Lapidusa, G. V. Gogrichiani. — M.: OAO «VNIIZhT», 2014. — S. 52–56. — DOI:https://doi.org/10.30917/ATT- PRINT-2018-4.
11. cherkesov G. N. Problema ZIP i zadacha formirovaniya novogo razdela teorii nadezhnosti vosstanavlivaemyh sistem / G. N. cherkesov // Nauchno-tehnicheskie vedomosti SPbGPU. Informatika. Telekommunikacii. Upravlenie. — 2011. — № 6-1. — S. 136–153. — DOI:https://doi.org/10.21869/2223-1560- 2021-25-4-201-219.
12. Shen' A. H. Kolmogorovskaya slozhnost' i matematicheskaya sluchaynost' / A. H. Shen', N. K. Vereschagin, V. A. Uspenskiy. — M.: MCNMO, 2014. — 576 s.
13. Shubinskiy I. B. Adaptivnaya garantosposobnost' informacionnyh sistem upravleniya / I. B. Shubinskiy, A. M. Zamyshlyaev, L. R. Papich // Nadezhnost'. — 2018. — T. 18. — № 4. — S. 3–9. — DOI:https://doi.org/10.21683/1729-2646-2018- 18-4-3-9.
14. Shubinskiy I. B. Nadezhnye otkazoustoychivye infor- macionnye sistemy. Metody sinteza. — M.: Zhurnal «Nadezhnost'», 2016. — 545 s. — DOI:https://doi.org/10.21683/1729- 2646-2015-0-4-97-101.
15. Shubinskiy I. B. Funkcional'naya nadezhnost' programmnogo obespecheniya informacionnyh sistem /I. B. Shubinskiy, A. M. Zamyshlyaev, G. B. Proshin // Nadezhnost'. — 2011. — № 3(38). — S. 72–81.
16. Shubinskiy I. B. Funkcional'naya bezopasnost' sistem upravleniya na zheleznodorozhnom transporte / I. B. Shubinskiy, E. N. Rozenberg. — Vologda: Infra-Inzheneriya, 2023. — 320 s.
