Abstract This paper presents a pilot study of conducting an online implementation of DynaMIT, one of traffic estimation and prediction (TrEP) programs developed by an MIT research team with the support from the U.S. Federal Highway Administration, in Hampton Roads, VA, U.S.A. As a first step, a test-bed network was coded and DynaMIT’s supply and demand parameters were calibrated before evaluating the performance of the online implementation of DynaMIT. Based on the online implementation of DynaMIT for three days, it was found that DynaMIT showed fairly good performance on the estimation and prediction of the sensor counts with the root mean square normalized (RMSN) error ranges between 0.15 and 0.25 for estimations, and 0.25 and 0.4 for predictions. Even though speed and travel times showed some discrepancies, further investigations indicated that the performance of DynaMIT can be significantly improved with adequately calibrated supply parameters.


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    Titel :

    Online implementation of DynaMIT: A prototype traffic estimation and prediction program


    Beteiligte:
    Park, Byungkyu (Autor:in) / Lee, Joyoung (Autor:in) / Pampati, Devi M. (Autor:in) / Smith, Brian L. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.03.2008


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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