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Advanced Modelling, Simulation and Verification for Future Traffic Regulation Optimisation

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Software Engineering for Resilient Systems (SERENE 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8785))

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Abstract

This paper introduces a new project supported by the UK Technical Strategy Leadership Group (TSLG) to contribute to its vision of Future Traffic Regulation Optimisation (FuTRO). In this project Newcastle University will closely cooperate with Siemens Rail Automation on developing novel modelling, verification and simulation techniques and tools that support and explore in an integrated approach to efficient dynamic improvement of capacity and energy consumption of railway networks and nodes while ensuring whole systems safety. The SafeCap+ (or SafeCap for FuTRO) project builds on the two previous projects (SafeCap and SafeCap Impact) which have developed a novel modelling environment that helps signalling engineers to design nodes (stations or junctions) in a way that guarantees their safety and allows engineers to explore different design options to select the ones that ensure the improved node capacity.

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References

  1. The Rail Technical Strategy 2012. The Technical Strategy Leadership Group, UK (2012), http://www.futurerailway.org/RTS/Pages/Intro.aspx

  2. European Rail Traffic Management System, http://www.ertms.net

  3. Technical Strategy Leadership Group, UK, http://www.rssb.co.uk/groups-and-committees/rssb-board/technical-strategy/technical-strategy-leadership-group

  4. The SafeCap project: Overcoming the railway capacity challenges without undermining rail network safety, http://www.safecap.co.uk/

  5. The SafeCap Eclipse environment for improving node capacity using formal methods, http://safecap.sourceforge.net/index.shtml

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Iliasov, A., Palacin, R., Romanovsky, A. (2014). Advanced Modelling, Simulation and Verification for Future Traffic Regulation Optimisation. In: Majzik, I., Vieira, M. (eds) Software Engineering for Resilient Systems. SERENE 2014. Lecture Notes in Computer Science, vol 8785. Springer, Cham. https://doi.org/10.1007/978-3-319-12241-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-12241-0_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12240-3

  • Online ISBN: 978-3-319-12241-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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