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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    Title :

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


    Contributors:

    Conference:

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



    Publication date :

    2006-08-04




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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