Inter-urban short-term traffic congestion prediction

Giovanni Huisken

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    510 Downloads (Pure)

    Abstract

    The main aim of Dynamic Traffic Management is efficient and effective use of the existing traffic infrastructure network. To reach this goal, traffic operators take measures, based on the current traffic situation, control schemes and information services at hand, that (try to) influence and distribute traffic in such a manner that it makes optimal use of the present road infrastructure. In this dissertation, the performances of models that were developed to produce accurate congestion prediction are compared. The prediction horizon is short-term period of 5, 10, 15, 20, 25, or 30 minutes. All assessed models are based on data driven methods.
    Original languageEnglish
    Awarding Institution
    • University of Twente
    Supervisors/Advisors
    • van Maarseveen, Martin, Supervisor
    Award date1 Dec 2006
    Place of PublicationEnschede
    Publisher
    Print ISBNs978-90-365-2441-4
    Publication statusPublished - 2006

    Keywords

    • IR-57639

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  • Cite this

    Huisken, G. (2006). Inter-urban short-term traffic congestion prediction. Enschede: University of Twente.