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Heuristic Algorithm for Coordination in Public Transport under Disruptions

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Applications of Evolutionary Computing (EvoWorkshops 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5484))

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Abstract

This paper deals with on-line coordination of public transport systems under disruptions. An on-line optimization model is proposed in order to support decisions about how to balance all the fleet of transit lines in the public transport system and also to minimize waiting time caused by disruption. A fast heuristic algorithm is developed for the on-line problem and a numerical study of the regional train network of Madrid is carried out.

The research described in this paper was partly supported by project PT-2007-003-08CCPP, CEDEX, Ministerio de Fomento, Spain.

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Author information

Authors and Affiliations

  1. Mathematics Department, University of Castilla-La Mancha, Spain

    Ricardo García, Máximo Almodóvar & Francisco Parreño

Authors
  1. Ricardo García
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  2. Máximo Almodóvar
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  3. Francisco Parreño
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Editor information

Editors and Affiliations

  1. Department of Animal Production Epidemiology and Ecology, University of Torino, Via Leonardo da Vinci 44, 10095, Grugliasco, Italy

    Mario Giacobini

  2. Quinn School of Business, Belfield, University College Dublin, Dublin 4, Ireland

    Anthony Brabazon

  3. Department of Computer Engineering, University of Parma, Viale Usberti 181/a, 43100, Parma, Italy

    Stefano Cagnoni

  4. Dalla Molle Institute for Artificial Intelligence (IDSIA), Gallelria 2, 6928, Manno-Lugano, Switzerland

    Gianni A. Di Caro

  5. School of Engineering and Applied Science,Aston Triangle, Aston University, B4 7ET, Birmingham, UK

    Anikó Ekárt

  6. Complex Adaptive Systems Group, Instituto Tecnológico de Informática, Ciudad PolitŽcnica de la Innovacin, Edif. 8G Acceso B, 46022, Valencia, Spain

    Anna Isabel Esparcia-Alcázar

  7. Next Generation Itelligent Networks Research Center (nexGIN RC), National University of Computer and Emerging Sciences (NUCES), Islamabad, Pakistan

    Muddassar Farooq

  8. Faculty of Economics and Social Sciences, Helmut-Schmidt-University, Holstenhofweg 85, 22043, Hamburg, Germany

    Andreas Fink

  9. Department of Informatics Engineering, Polo II - Pinhal de Marrocos, University of Coimbra, 3030 - 290, Coimbra, Portugal

    Penousal Machado

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© 2009 Springer-Verlag Berlin Heidelberg

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García, R., Almodóvar, M., Parreño, F. (2009). Heuristic Algorithm for Coordination in Public Transport under Disruptions. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_91

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  • DOI: https://doi.org/10.1007/978-3-642-01129-0_91

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01128-3

  • Online ISBN: 978-3-642-01129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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