Delay propagation in a real life railway network controlled by a fuzzy logic rule base

Mark Farkas, Tibor Héray, Gábor Rózsa, László T. Kóczy

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

This paper considers a real-life railway timetable related problem, where a set of interconnected railway junction points form a railway network, which is essentially a directed graph with corresponding vertex and edge capacities representing railway tracks and railway platforms.The dynamic behavior of this model is driven by a timetable. Unforeseen weather and other external effects may contribute to delays in the timetable, which alters the behavior of the whole system. In this scenario a hierarchical fuzzy system is proposed that can suggest a possible outgoing delay for each train by evaluating a set of fuzzy rule bases using two input data. The first proposal does not take into account the possible propagation of delay in the whole railway network. In this article a negative feedback is applied on the hierarchical fuzzy system.The fuzzy sets are optimized by an evolution based global search metaheuristics.

Original languageEnglish
Pages423-433
Number of pages11
Publication statusPublished - Dec 1 2009
Event10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009 - Budapest, Hungary
Duration: Nov 12 2009Nov 14 2009

Other

Other10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009
CountryHungary
CityBudapest
Period11/12/0911/14/09

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Keywords

  • Automated simulation
  • Bacterial memetic algorithms
  • Connection conflicts
  • Evolution
  • Fuzzy hierarchical rule base
  • Global search metaheuristics
  • Railway timetable

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Farkas, M., Héray, T., Rózsa, G., & Kóczy, L. T. (2009). Delay propagation in a real life railway network controlled by a fuzzy logic rule base. 423-433. Paper presented at 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009, Budapest, Hungary.