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
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

Bazant, M. and Kavicka, A. 2009. Artificial neural network as a support of platform track assignment within simulation models reflecting passenger railway stations. Journal of Rail and Rapid Transit 223, 5, 505–515. DOI: 10.1243/09544097JRRT268

Janosikova, L., Kavicka, A., and Bazant, M. 2014. Optimal operation scheduling and platform track assignment in a passenger railway station. Journal of Rail and Rapid Transit 228, 3, 271–284. DOI: 10.1177/0954409712472275

Chakroborty, P. and Vikram, D. 2008. Optimum assignment of trains to platforms under partial schedule compliance. Transportation Research Part B: Methodological 42, 2, 169–184. DOI: 10.1016/j.trb.2007.07.003

Diviš, R. and Kavicka, A. 2018. Complex nested simulations within simulators reflecting railway traffic. In: Y. Merkuryev, M. A. Piera, F. Longo, A.G. Bruzzone, M. Affenzeller, E. Jimenez (ed.) Proceedings of the 30th European Modeling and Simulation Symposium – EMSS 2018. University of Genova, Dime University of Genova, Genova, 178–186.

Corman F., D’Ariano, A., Pranzo, M., and Hansen, I. 2011. Effectiveness of dynamic reordering and rerouting of trains in a complicated and densely occupied station area. Transportation Planning and Technology 34, 4, 341–362. DOI: 10.1080/03081060.2011.577152

Ishizaka, A. and Nemery, P. 2013. Multi-criteria decision analysis: methods and software. Wiley, Chichester, West Sussex, United Kingdom.

Fiala, P., Manas, M., and Jablonsky, J. 1994. Multicriteria decision-making. University of Economics, Prague [in Czech].

Adamko, N. and Klima, V. 2018. Optimisation of railway terminal design and operations using Villon generic simulation model. Transport 23, 4, 335–340. DOI: 10.3846/1648-4142.2008.23.335-340

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.
Section
Articles