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The Railway Network Design, Line Planning and Capacity Problem: An Adaptive Large Neighborhood Search Metaheuristic

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Advanced Concepts, Methodologies and Technologies for Transportation and Logistics (EURO 2016, EWGT 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 572))

Abstract

In this chapter, we propose a model for the Railway Network Design and Line Planning (RNDLP) problem, integrating the two classical first stages in the Railway Planning Process. The network design problem incorporates costs relative to the network construction, proposing a set of candidate lines. The line planning problem is in charge of determining optimal frequencies and consequently train operations, taking into account rolling stock, personnel and fleet acquisition costs. Both problems are intertwined because the line design influences the selection of frequencies and the corresponding fleet size. We consider the existence of an alternative transportation mode for each origin-destination pair in the network. In this way, the rapid railway mode competes against the alternative mode for a given certain demand, represented by a global origin-destination matrix. Passengers choose their transportation mode according to their own utility. Since the problem is computationally intractable for realistic size scenarios, we develop an Adaptive Large Neighborhood Search (ALNS) algorithm, which can handle the RNDLP problem. As illustration, the ALNS performance is demonstrated in an artificial instance using estimated data from literature.

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Acknowledgements

This research work was partially supported Ministerio de Economía y Competitividad (Spain)/FEDER under grant MTM2015-67706-P and by the Canadian Natural Sciences and Engineering Research Council under grant 2015-06189.

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Authors and Affiliations

  1. Department of Industrial Engineering and Management Science, Universidad de Sevilla, Seville, Spain

    David Canca

  2. Departament of Applied Mathematics II, Universidad de Sevilla, Seville, Spain

    Alicia De-Los-Santos & Juan A. Mesa

  3. Canada Research Chair in Distribution Management, HEC Montréal, Montreal, Canada

    Gilbert Laporte

Authors
  1. David Canca
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  2. Alicia De-Los-Santos
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  3. Gilbert Laporte
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  4. Juan A. Mesa
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Corresponding author

Correspondence to David Canca .

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Editors and Affiliations

  1. Faculty of Engineering Management, Poznań University of Technology, Poznań, Poland

    Jacek Żak

  2. Department of Management, Head of Supply Chain Management and Logistics Studies; Faculty of Social Sciences, Bar-Ilan University, Ramat Gan, Israel

    Yuval Hadas

  3. Department of Civil, Environmental and Architectural Engineering, University of Padova, Padova, Italy

    Riccardo Rossi

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Canca, D., De-Los-Santos, A., Laporte, G., Mesa, J.A. (2018). The Railway Network Design, Line Planning and Capacity Problem: An Adaptive Large Neighborhood Search Metaheuristic. In: Żak, J., Hadas, Y., Rossi, R. (eds) Advanced Concepts, Methodologies and Technologies for Transportation and Logistics. EURO EWGT 2016 2016. Advances in Intelligent Systems and Computing, vol 572. Springer, Cham. https://doi.org/10.1007/978-3-319-57105-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-57105-8_9

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  • Online ISBN: 978-3-319-57105-8

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