A Decision Support Tool for Energy-Optimising Railway Timetables Based on Behavioural Data

Mathias Bejlegaard Madsen, Matthias Villads Hinsch Als, Rune Møller Jensen, Sune Edinger Gram

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

    Abstract

    Energy-efficient train operation can reduce operating costs
    and contribute to a reduction in CO2 emissions. To utilise the full
    potential of energy-efficient driving, energy-efficient timetabling is crucial.
    To address this problem, we propose a decision support tool to
    give timetable planners insight into energy consumption for a given
    timetable. The decision support tool uses a recommendation based on
    quadratic optimisation of a given timetable. Differently to previous work,
    the optimisation uses actual data from the train operation, which is preprocessed by data reduction, outlier detection, and second-degree regression modelling. With this approach, our results show that the optimised
    timetables can save up to 33.07% energy on a single section and up to
    6.23% for a complete timetable. Solutions are computed in less than a
    microsecond.
    Original languageEnglish
    Title of host publicationProceedings of the 10th International Conference on Computational Logistics (ICCL19)
    Number of pages16
    PublisherSpringer
    Publication date30 Sept 2019
    Pages397-412
    ISBN (Print)978-3-030-31139-1
    DOIs
    Publication statusPublished - 30 Sept 2019
    Event10th International Conference on Computational Logistics - Barranquilla, Colombia
    Duration: 30 Sept 20192 Oct 2019
    Conference number: 10

    Conference

    Conference10th International Conference on Computational Logistics
    Number10
    Country/TerritoryColombia
    CityBarranquilla
    Period30/09/201902/10/2019
    SeriesLecture Notes in Computer Science
    Volume11756
    ISSN0302-9743

    Keywords

    • Energy-efficient train operation
    • Timetabling optimisation
    • Decision support tool
    • Quadratic optimisation
    • Data preprocessing

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