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Multigraph is: Part 1. A formal description of railway infrastructure for the digital twin of the ETCS application

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EN
Abstrakty
EN
The European Railway Agency has formulated assumptions for a target model of rail transport. Its important premise is digitalization to support the communication and transport services that the railways will make available to the public in the future. Part of the digitalization process is the digital description of the railway infrastructure in a formalized form to allow algorithmic processing. The formal description of infrastructure is not a new issue. However, attempts made so far have not resulted in a permanent definition of a generally accessible formalism allowing for a coherent representation of the physical railway infrastructure in a digital form. This paper presents the results of work carried out within the research project Digital Railway-The Digital Twin of the ETCS Application-Virtual Prototyping and Simulation of Operational Scenarios.
Czasopismo
Rocznik
Strony
43--52
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
  • Warsaw University of Technology, Faculty of Transport; Koszykowa 75, 00-662 Warsaw, Poland
  • Silesian University of Technology, Faculty of Transport and Aviation Engineering; Krasiński 8, 40-019 Katowice, Poland
  • JSC „LTG Infra”; Panerių 38, LT-03603 Vilnius, Lithuania
  • Vilnius Gediminas Technical University, Department of Mobile Machinery and Railway Transport; Plytinės 25, LT-10105 Vilnius, Lithuania
Bibliografia
  • 1. Grieves, M. & Vickers, J. Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems. Transdisciplinary Perspectives on Complex Systems New Findings and Approaches. 2017. P. 85-115.
  • 2. Kochan, A. Digital twin concept of the ETCS application. In: Kochan, A. (ed.). Digital Railway, WUT Journal of Transportation Engineering. 2020. P. 87-98.
  • 3. Kaewunruen, S. & Peng, S. & Phil-Ebosie, O. Digital twin aided sustainability and vulnerability audit for subway stations. Sustainability. 2020. Vol. 12. No. 19. P. 7873. DOI: 10.3390/su12197873.
  • 4. Kampczyk, A. & Dybeł, K. The fundamental approach of the digital twin application in railway turnouts with innovative monitoring of weather conditions. Sensors. 2021. Vol. 21. No. 17. P. 5757. DOI: 10.3390/s21175757.
  • 5. Ostasz, M. Metoda opisu formalnego układów torowych i charakterystyk techniczno ruchowych stacji kolejowych oraz algorytmy wybranych problemów automatyzacji prac projektowania urządzeń sterowania ruchem kolejowym. PhD thesis. Faculty of Transport, Warsaw University of Technology. 1973. 114 p. [In Polish: Method of formal description of track systems and technical and traffic characteristics of railway stations and algorithms of selected problems of automation of railway traffic control equipment design work].
  • 6. Zabłocki, W. Modelowanie stacyjnych systemów sterowania ruchem kolejowym. Oficyna Wydawnicza Politechniki Warszawskiej, 2008. 182 p. [In Polish: Modelling of station traffic control systems].
  • 7. Wontorski, P. Metoda automatyzacji projektowania infrastruktury komputerowego systemu sterowania ruchem kolejowym. PhD thesis. Faculty of Transport, Warsaw University of Technology. 2018. 195 p. [In Polish: Method of automating the design of the infrastructure of the computerised signalling system].
  • 8. Wontorski, P & Kochan, A. Cyfrowy opis infrastruktury, powiązanie z metodyką BIM. In: Żukowska J. (eds). Nowoczesne technologie i systemy zarządzania w transporcie szynowym. NOVKOL’20, Zakopane. 2020. P. 187-200. [In Polish: Digital description of infrastructure, link to BIM methodology. In: Żukowska J. (ed.). Modern technologies and management systems in rail transport].
  • 9. G’ely, L. & Dessagne, G. & Pesneau, P. & Vanderbeck, F. A multi scalable model based on a connexity graph representation. WIT Transactions on The Built Environment. 2010. P. 193-204.
  • 10. IRS 30100. RailTopoModel - Railway infrastructure topological model UIC. V.1.0. 2016. 74 p.
  • 11. Bischof, S. & Schenner G. Rail topology ontology: a rail infrastructure base ontology the semantic web - ISWC 2021. Springer International Publishing. 2021. P. 597-612.
  • 12. Bischof, S. & Schenner, G. Challenges of constructing a railway knowledge graph. In: The Semantic Web: ESWC 2019 Satellite Events. 2019. P. 253-256. DOI: 10.1007/978-3-030-32327-1_44.
  • 13. Bischof, S. & Schenner, G. Towards a railway topology ontology to integrate and query rail data silos conference. In: International Semantic Web Conference. 2020. DOI: 10.13140/RG.2.2.22571.98084.
  • 14. Zhuchyi, L. & Shinkarenko, V.I. Ontological harmonization of railway transport information systems. In: Conference: 5th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2021). Lviv, Ukraine. 2021.
  • 15. Magnien, A. & Cecchetti, G. & Ruscelli, A. L. & Hyde, P. & Liu, J. & Wegele, S. Formalization and processing of data requirements for the development of next generation railway traffic management systems. In: 4th International Conference RSSRail Paris. 2022. P. 35-46. DOI: 10.1007/978-3-031-05814-1_3.
  • 16. Mahtani, A. & Chouchani, N. & Herbreteau, M. & Rafin, D. Enhancing autonomous train safety through a priori-map based perception. In: Collart-Dutilleul, S., Haxthausen, A.E., Lecomte, T. (eds.). Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification. RSSRail 2022. Lecture Notes in Computer Science. Vol. 13294. Springer. Cham. 2022. P. 115-129. DOI: 10.1007/978-3-031-05814-1_8.
  • 17. Bae Seo, M. & Lee, D. Development of railway infrastructure BIM - prototype libraries, Applied Sciences. 2020. 10(22). P. 1-13. DOI:10.3390/app10228118.
  • 18. Perin, M. Modelling of high-speed European railway systems. In: Collart-Dutilleul, S. (eds). Operating Rules and Interoperability in Trans-National High-Speed Rail. Springer. Cham. 2020. P. 119-130. DOI: 10.1007/978-3-030-72003-2_5.
  • 19. Love, P. & Zhou, j. & Matthews, J. & Lavender, M. & Morse, T. Managing rail infrastructure for a digital future: Future-proofing of asset information. Transportation Research Part A: Policy and Practice. 2018. Vol. 110. P. 161-176. DOI: 10.1016/j.tra.2018.02.014.
  • 20. SUBSET- 026-3. System Requirements Specification. Unisig. V. 3.6.0. 2016. 204 p.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-18f2d64c-64d0-4af3-8264-63c045bc6dd9
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