1. Proceedings
  2. I3M
  3. 2021
  4. EMSS
  5. 10.46354/i3m.2021.emss.019

Multicriteria evaluation of variants as a decision-making support within rail-traffic simulations

  • a Zdeněk Novotný ,
  • b Antonín Kavička 
  • a,b University of Pardubice, Studentská 95, Pardubice, 532 10, Czech Republic
Cite as
Novotný Z., Kavička A. (2021). Multicriteria evaluation of variants as a decision-making support within rail-traffic simulations. Proceedings of the 33rd European Modeling & Simulation Symposium (EMSS 2021), pp. 140-146. DOI: https://doi.org/10.46354/i3m.2021.emss.019

Abstract

This contribution discusses different methods of automatic decision-making support in simulated railway traffic within mesoscopic simulation tools. Concretely, this article compares the method of multicriteria evaluation of variants (utilized in the process of operative control) to other optimization methods exploited within rail-traffic simulation (e.g. reflecting rail traffic within railway stations). The used simulator and its features are described, as well as its outputs, which are used for statistical evaluation of the individual supports. Further, certain methods of automatic operative control are discussed as candidates. The method of multicriteria evaluation of variants is implemented and compared to (i) priority planning and (ii) nested/recursive simulations, in terms of minimization of train delays. At the end, the results are evaluated and discussed.

References

  1. Adamko, N. and Klima, V., 2008. Optimisation of railway terminal design and operations using Villon generic simulation model. Transport, 23:335–340.
  2. Bažant, M. et al., 2017. Calculation of the capacity of switch area within railway stations with use of simulation methods. In 29th European Modeling and Simulation Symposium, EMSS 2017. Rende: CAL-TEK SRL, 316-322.
  3. Bažant, M. et al., 2019. Simulation-based rail traffic optimizations applying multicriterial evaluations of variants. Mendel, 25:139–146.
  4. Diviš, R. and Kavička, A., 2015. Design and development of a mesoscopic simulator specialized in investigating capacities of railway nodes. Proceedings of the European Modeling and Simulation Symposium, September 21-23:52–57.
  5. Diviš, R. and Kavička, A., 2016. The method of nested simulations supporting decision-making process within a mesoscopic railway simulator. Proceedings of the European Modeling and Simulation Symposium, September 26-28:100–106.
  6. Kaakai, F. et al., 2007. A hybrid Petri nets-based simulation model for evaluating the design of railway transit stations. Simulation Modelling Practice and Theory. 15, 8 (Sep. 2007), 935–969.
  7. Kavička, A. et al. (2020). Railway station capacity assessment utilizing simulation-based techniques and the UIC406 method. Proceedings of the 32nd European Modeling & Simulation Symposium, 41-49.
  8. Saaty, T. L., 1990. How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48:9-26.
  9. Song H. et al., 2014. Carrying capacity of railway station by microscopic simulation method. 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) (Oct. 2014).