In this paper, three technologies for real-time traffic data collection, namely automatic vehicle identification (AVI), global positioning system (GPS) and video image processing (VIP), are evaluated. Their performances on journey time estimation are compared in a case study in Hong Kong. Journey times on a selected path are estimated using dataset collected by each of these three technologies and different combination of these datasets. Observation survey is conducted during a morning period on the selected path to validate the journey time estimates. It was found that the combination of AVI and VIP data can be used to provide cost-effective solution for real-time journey time estimation in Hong Kong.


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    Titel :

    Evaluation of Real-Time Data Collection Technologies for Journey Time Estimation


    Beteiligte:
    Lam, William H. K. (Autor:in) / Tam, Mei Lam (Autor:in)

    Kongress:

    Sixth International Conference of Traffic and Transportation Studies Congress (ICTTS) ; 2008 ; Nanning, China



    Erscheinungsdatum :

    17.07.2008




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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