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Prospects of autonomous railway transport development

https://doi.org/10.46684/2024.3.4

Abstract

   The implementation of unmanned train control systems offers a number of advantages, such as increasing the capacity of railway lines and traffi c volumes, reducing the ‘human factor’, as well as reducing operating costs. The paper considers the challenges arising from the use of automatic train control systems, and presents the prospects for the implementation of automatic technologies in railway transport for various railway systems. The social and economic aspects of changing professional activities in railway transport are described. Grades of automation applicable to surface urban railway
transport are presented. The issues of proving the functional safety of machine vision systems as part of the train traffic control system and determining their level of safety completeness are discussed. Examples of railway transport automation in Russia and other countries are given. Basic scenarios of automatic control system operation describing normal and abnormal situations are formulated. In conclusion, the levels of technological readiness of the reviewed solutions in the fi eld of train traffic automation are defi ned. The tasks faced by railway companies in implementing these technologies are outlined, and possible ways of overcoming obstacles to the introduction of automatic systems are proposed, taking into account the current political situation.

About the Authors

P. A. Popov
Research and Design Institute of Informatization, Automation and Communications in Railway Transport
Russian Federation

Pavel A. Popov, Candidate of Technical Sciences, Deputy Director General, Branch Director

St. Petersburg Branch

115 А Moskovskiy Avenue; Moscow

ID RSCI: 854420, Scopus: 57203231478



A. V. Ozerov
Research and Design Institute of Informatization, Automation and Communications in Railway Transport
Russian Federation

Alexey V. Ozerov, Head of Department

109029; build. 1, 27 Nizhegorodskaya st.; Moscow

ID RSCI: 982335, Scopus: 57210556089



A. S. Marshova
Research and Design Institute of Informatization, Automation and Communications in Railway Transport
Russian Federation

Anna S. Marshova, chief specialist

109029; build. 1, 27 Nizhegorodskaya st.; Moscow

ID RSCI: 1196181



References

1. Flammini F., De Donato L., Fantechi A., Vittorini V. A Vision of Intelligent Train Control. Lecture Notes in Computer Science. 2022;192-208. DOI: 10.1007/978-3-031-05814-1_14

2. Shubinsky I.B., Rosenberg E.N. Functional safety of control systems in railway transport : monograph. Moscow; Vologda, Infra-Engineering, 2023;12-19. (In Russ.).

3. Ozerov А.V., Olshansky А.М. Safety model construction for a complex automatic transportation system. Dependability. 2021;21(2):31-37. DOI: 10.21683/1729-2646-2021-21-2-31-37. EDN: BBJZNN. (In Russ.).

4. Dmitriev S.A., Sorokin A.V., Suslov K.A. Design of the work-place and technology of work for the driver-operator of electric trains operating in automatic mode. Lokomotiv. 2023;11(803):6-8. EDN: HKZFCY. (In Russ.).

5. Popov P.A., Tsvetkov A.A., Kudryashov S.V. Scenarios of operation of the automatic control system on the MCC. Railway Transport. 2023;9:41-43. EDN: PANUJN. (In Russ.).

6. Ozerov A.V., Okhiotnikov A.L. Technical vision in modern train traffic control system. Intelligent transport systems : materials of the II International Scientific and Practical Conference. 2023;620-625. DOI: 10.30932/9785002182794-2023-620-625. EDN JKXFVK. (In Russ.).

7. Popov P. Application of ai technologies in railway transport. Bulletin of the Institute for Problems of Natural Monopolies: Railway Engineering. 2024;1(65):38-41. EDN: ZYYQSL. (In Russ.).

8. Subhadip K. AI-Driven Advancements: Feasibility Study of Automatic Train Operation in Mainline. 2023.

9. Space megabit at an earthly price. Russian Space. 2022;8-11. URL: https://www.roscosmos.ru/media/pdf/russianspace/rk2022-11-single.pdf (In Russ.).

10. The Roscosmos enterprise will create more than 130 Marathon communication satellites in the interests of the Sphere project. Roscosmos. 2023. URL: https://www.roscosmos.ru/39698/ (In Russ.).

11. Aryalina M. Russia may have its own analogue of Starlink in three years. Vedomosti. 2023. URL: https://www.vedomosti.ru/technology/articles/2023/12/21/1012186-v-rossii-cherez-tri-goda-mozhet-poyavitsya-svoi-analog-starlink (In Russ.).

12. How did one of the world’s largest robots end up here? RioTinto. 2019. URL: https://www.riotinto.com/en/news/stories/how-did-worlds-biggest-robot (In Russ.).

13. Efremov A.Yu. Unmanned heavyweight trains on Rio Tinto’s railway network in Australia. Railways of the World. 2020;1:61-66. EDN: YXOLZZ. (In Russ.).

14. Sneider J. Rio Tinto finds success in its autonomous freight-train operation. Progressive Railroading. RailPrime. 2023. URL: https://www.progressiverailroading.com/RailPrime/Details/Rio-Tinto-finds-success-in-its-autonomous-freight-train-operation--70277

15. Barich A. Rio Tinto trialing Australian, Israeli human detection tech for AutoHaul trains. S&P Global. 2021. URL: https://www.spglobal.com/marketintelligence/en/news-insights/latest-news-headlines/rio-tinto-trialing-australian-israeli-human-detection-tech-for-autohaul-trains-63710244

16. Rail Vision Launches a Long-Term Pilot Program with Rio Tinto / U.S. Securities and Exchange Commission. URL: https://www.sec.gov/Archives/edgar/data/1743905/000121390022037667/ea162530ex99-2_railvision.htm

17. Sensors4Rail tests sensor-based perception systems in rail operations for the first time. Digitale Schiene Deutschland. URL: https://digitale-schiene-deutschland.de/en/Sensors4Rail

18. Burroughs D. SNCF tests autonomous regional mainline train. International Railway Journal. 2021.

19. Autonomous train perception product attains safety certificate. Traffic Control Technology CO., LTD. URL: https://en.bj-tct.com/news/news-detail-139.html


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For citations:


Popov P.A., Ozerov A.V., Marshova A.S. Prospects of autonomous railway transport development. BRIСS Transport. 2024;3(3):1-14. https://doi.org/10.46684/2024.3.4

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