Congestion prediction on motorways: a comparative analysis

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    Abstract

    The paper reports on the evaluation of the performance of various short-term congestion prediction methods, i.e. multi-linear regression, time series analysis, multi-layer perceptrons, radial basis function networks, self-organising systems, and fuzzy logic. Data were gathered through dual induction loops on a A10 motorway section in the Netherlands during a fourweek period. The data consist of 1 minute aggregated time bins of volume, occupancy, speed, and both a reliability and a congestion indicator. The method's results are similar, except for multi-linear regression. Self-organising systems were omitted due to huge error production.
    Original languageEnglish
    Title of host publicationFrom Vision to Reality
    Subtitle of host publicationProceedings of the 7th World Congress on Intelligent Transportation Systems, 6-9 November 2000, on CD-ROM
    Place of PublicationTurin, Italy
    Number of pages7
    Publication statusPublished - 2000
    Event7th World Congress on Intelligent Transportation Systems 2000 - Turin, Italy
    Duration: 6 Nov 20009 Nov 2000
    Conference number: 7

    Conference

    Conference7th World Congress on Intelligent Transportation Systems 2000
    Country/TerritoryItaly
    CityTurin
    Period6/11/009/11/00

    Keywords

    • ADLIB-ART-853
    • PGM

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