Simulation-Based Rail Traffic Optimizations Applying Multicriterial Evaluations of Variants

  • Michael Bažant Faculty of Electrical Engineering and Informatics, University of Pardubice, Czech Republic
  • Antonín Kavička Faculty of Electrical Engineering and Informatics, University of Pardubice, Czech Republic https://orcid.org/0000-0002-7780-0941
  • Roman Diviš Faculty of Electrical Engineering and Informatics, University of Pardubice, Czech Republic https://orcid.org/0000-0001-8260-3099
  • Michal Varga Faculty of Informatics and Management Science, University of Zilina, Slovakia
DOI: https://doi.org/10.13164/mendel.2019.1.139
Keywords: traffic optimisation, multicriteria decision making, computer simulation

Abstract

The contribution pays attention to assessing a selected method related to multicriterial evaluations of variants. That method is exploited for supporting automatized decision-making processes related to special operational situations, which emerge within rail traffic simulators. The relevant case study resolves an optimisation task related to minimizations of total increments of train delays within passenger railway stations. Different optimisation approaches are combined and exploited, and their consequences are investigated by means of numerous simulation experiments. The outcomes of those experiments are processed, and recommendations for the use of appropriate decision-making supports in rail simulators are formulated.

References

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Published
2019-06-24
How to Cite
[1]
Bažant, M., Kavička, A., Diviš, R. and Varga, M. 2019. Simulation-Based Rail Traffic Optimizations Applying Multicriterial Evaluations of Variants. MENDEL. 25, 1 (Jun. 2019), 139-146. DOI:https://doi.org/10.13164/mendel.2019.1.139.
Issue
Vol 25 No 1 (2019): MENDEL
Section
Research articles

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