Computational Technology Resources - CCC

Paper 23.2

Introducing a TOPSIS based quantitative resilience measure for railway systems

Z. Wang, M.S. Nistor and S. Pickl

Universität der Bundeswehr München, Neubiberg, Germany

doi:10.4203/ccc.1.23.2

Z. Wang, M.S. Nistor, S. Pickl, "Introducing a TOPSIS based quantitative resilience measure for railway systems", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 23.2, 2022, doi:10.4203/ccc.1.23.2

Keywords: graph theory, graph measures, TOPSIS, MCDM.

Abstract

We tackle the importance of railway systems as part of an interdepended chain of critical infrastructures. One approach is modeling the railway systems as graphs and then applying graph measures to them. The solution in this paper takes the TOPSIS from Multiple-Criteria Decision-Making (MCDM) field and adapts it to produce a new aggregation of different graph measures.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 1 PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 23.2 Introducing a TOPSIS based quantitative resilience measure for railway systems Z. Wang, M.S. Nistor and S. Pickl Universität der Bundeswehr München, Neubiberg, Germany doi:10.4203/ccc.1.23.2 Full Bibliographic Reference for this paper Z. Wang, M.S. Nistor, S. Pickl, "Introducing a TOPSIS based quantitative resilience measure for railway systems", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 23.2, 2022, doi:10.4203/ccc.1.23.2 Keywords: graph theory, graph measures, TOPSIS, MCDM. Abstract We tackle the importance of railway systems as part of an interdepended chain of critical infrastructures. One approach is modeling the railway systems as graphs and then applying graph measures to them. The solution in this paper takes the TOPSIS from Multiple-Criteria Decision-Making (MCDM) field and adapts it to produce a new aggregation of different graph measures. download the full-text of this paper (PDF, 5 pages, 436 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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