PROJECTS FOR THE DEVELOPMENT OF AUTOMATIC TRAIN CONTROL SYSTEMS
EDN: GVAMUE
Abstract
The article considers projects aimed at improving and adapting the elements of the automatic train control system. The projects such as TAURO, CLUG, RAILGAP, Sensors4Rails, RAILS, URV are described. The analysis of the presented projects and Russian technological developments is carried out. The main directions of the projects are aimed at ensuring the safe use of unmanned trains on railway transport, the use of artificial intelligence technologies, high-precision positioning systems and vision systems. Research in these areas by international and domestic manufacturing and scientific and technological companies makes it possible to create modern and highly intelligent control systems based on software and hardware and complexes necessary for the organization of automatic control of train traffic.
About the Authors
А. ОхотниковRussian Federation
И. Волкова
Russian Federation
References
1. Ozerov, A.V. Development of train traffic control automation systems / A.V. Ozerov, V.M. Malinov, A.S. Marshova // Railway Transport. – 2022. – No. 3. – Pp. 10-15. EDN: XFNHSE
2. Okhotnikov, A.L. Algorithm for selecting equipment for machine vision systems in railway transport / A.L. Okhotnikov // Science and Technology of Railways. – 2021. – Vol. 5. – No. 1(17). – Pp. 65–74. EDN: TWRACV
3. Europes Rail Catalogue of Solutions / URL: https://rail-research.europa.eu/wp-content/uploads/2022/09/Europes-Rail-Catalogue-of-Solutions-v4.pdf (accessed: 15.11.2022).
4. Materials of conferences on the TAURO project / URL: https://projects.shift2rail.org/download.aspx?id=2b268677-24b0-4d86-9463-f3b1680af7a0 ,https://projects.shift2rail.org/download.aspx?id=2008f5d5-c97b-4faa-967c-ba856e1de08a (date of reference: 11/15/2022).
5. EN 15380-4:2014 - Railway applications - Classification system for railway vehicles - Part 4: Function groups.
6. TAURO Projects News & Events / URL: https://projects.shift2rail.org/s2r_ipx_n.aspx?p=tauro, (20.01.2023).
7. CLUG – A new approach to train localisation using European GNSS / URL: https://digitale-schiene-deutschland.de/en/news/CLUG-Train-Localisation-GNSS (accessed: 10.01.2023).
8. CLUG Projects: Required Digital Map for Localisation. / URL: http://www.clugproject.eu/en/news/clug-projects-required-digital-map-localisation (accessed: 10.01.2023).
9. RAILGAP IN A NUTSHELL / URL: https://railgap.eu/download.aspx?id=870338e3-1318-4257-83f9-4b926524fe85,(12.12.2022).
10. Pilot project for the digitalization of Hamburg’s urban railway // Railways of the World. - 2021. - No. 5. - Pp. 67-71. EDN: ZTVSNT
11. Efremov, A.Yu. Testing onboard obstacle detection sensors on German railways / A.Yu. Efremov // World Railways. - 2022. - No. 6. - Pp. 44-48. EDN: KSTGHY
12. Flammini, F., Vittorini, V., Lin, Z., “Roadmaps for AI Integration in the Rail Sector – RAILS,” ERCIM News 2020 (121).
13. RAILS Roadmaps for A.I. Integration in the Rail Sector / URL: https://rails-project.eu/(accessed: 15.11.2022).
14. Automated tool (URV) for monitoring railway lines of the AV/AC for the purpose of detecting critical issues related to security / URL: https://www.rfi.it/it/innovazione-e-ricerca/progetti/security.html (accessed: 30.11.2022).
15. The unmanned “Lastochka” project at an international seminar. Gudok. 2021. / URL: https://gudok.ru/news/?ID=1567824,(10.01.2023).
16. Autonomous movement — domestic and foreign experience / A.I. Dolgiy, E.N. Rozenberg, A.V. Ozerov [et al.] // Automation, Communication, Informatics. - 2022. - No. 12. - Pp. 14–16. DOI: 10.34649/AT.2022.12.12.002 EDN: FALVXQ
Review
For citations:
, PROJECTS FOR THE DEVELOPMENT OF AUTOMATIC TRAIN CONTROL SYSTEMS. Intelligent transport. 2023;(1(25)):25-31. (In Russ.) EDN: GVAMUE
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