Congestion prediction on motorways: a comparative analysis

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    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 publicationProceedings of the 7th World Congress on Intelligent Transport Systems, 6-9 November 2000, Turin, Italy (CD-ROM). 7 p.
    Place of PublicationTurin, Italy
    Number of pages7
    Publication statusPublished - 2000

    Keywords

    • ADLIB-ART-853
    • PGM

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