Origin-destination (OD) flows are important inputs to both off-line planning and real-time traffic management applications. Typically OD flows are estimated from time-consuming and expensive travel surveys or license plate matching studies. These estimates can be updated using link-based observations. The use of Unmanned Aerial Vehicles (UAVs) to monitor traffic networks introduces the possibility of directly determining OD flows for small networks. A methodology that combines non-overlapping imagery is developed and applied to a two-intersection network. The empirical findings show that even with short imaging time, interesting and nontrivial results can be obtained.


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    Titel :

    Determining Origin-Destination Flows across a Two-Intersection Network from Non-Overlapping UAV and Ground-Based Imagery


    Beteiligte:

    Kongress:

    Ninth International Conference on Applications of Advanced Technology in Transportation (AATT) ; 2006 ; Chicago, Illinois, United States



    Erscheinungsdatum :

    2006-08-04




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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