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ERTMS/ETCS Virtual Coupling: Proof of Concept and Numerical Analysis
University of Naples Federico II, Italy.
University of Naples Federico II, Italy.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-2833-7196
University of Naples Federico II, Italy.
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2019 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, p. 1-12Article in journal (Refereed) Epub ahead of print
Abstract [en]

Railway infrastructure operators need to push their network capacity up to their limits in high-traffic corridors. Virtual coupling is considered among the most relevant innovations to be studied within the European Horizon 2020 Shift2Rail Joint Undertaking as it can drastically reduce headways and thus increase the line capacity by allowing to dynamically connect two or more trains in a single convoy. This paper provides a proof of concept of Virtual coupling by introducing a specific operating mode within the European rail traffic management system/European train control system (ERTMS/ETCS) standard specification, and by defining a coupling control algorithm accounting for time-varying delays affecting the communication links. To that aim, we define one ploy to enrich the ERTMS/ETCS with Virtual coupling without changing its working principles and we borrow a numerical analysis methodology used to study platooning in the automotive field. The numerical analysis is also provided to support the proof of concept with quantitative results in a case-study simulation scenario.

Place, publisher, year, edition, pages
IEEE, 2019. p. 1-12
Keywords [en]
CPS, safety, modeling, reliability, signalling, railways, ERTMS/ETCS, automatic train control, virtual coupling, simulation, numerical analysis
National Category
Computer Systems Embedded Systems
Research subject
Computer and Information Sciences Computer Science, Computer Science; Computer and Information Sciences Computer Science; Computer Science, Software Technology; Computer and Information Sciences Computer Science, Information Systems
Identifiers
URN: urn:nbn:se:lnu:diva-86013DOI: 10.1109/TITS.2019.2920290OAI: oai:DiVA.org:lnu-86013DiVA, id: diva2:1332187
Available from: 2019-06-27 Created: 2019-06-27 Last updated: 2019-08-29

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Flammini, Francesco

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CiteExportLink to record
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  • apa
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  • vancouver
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  • de-DE
  • en-GB
  • en-US
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  • Other locale
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Output format
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