Roadway networks span large distances and can be difficult to monitor. Most efforts to collect roadway usage data either require a large fixed infrastructure or are labor intensive. Advances in electronics and communication have recently enabled an alternative. Unmanned Aerial Vehicles (UAVs). UAVs capable of carrying sensors and communications hardware to relay data to the ground are now commercially available. In this paper we investigate the feasibility of using a UAV to monitor roadway traffic and develop several applications. UAVs can cover large areas, travel at high speeds and are not restricted to traveling on the road network. This paper demonstrates several applications using data from a UAV flying in an urban environment: determining level of service (LOS), estimating average annual daily travel (AADT), documenting intersection operations, and measuring origin destination flows. The descriptions of these empirical tasks are intended to provide the main concepts and methods applied to derive useful information for both off-line planning and real-time management, and to illustrate the challenges and opportunities such applications pose.


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    Titel :

    Traffic Flow Data Extracted from Imagery Collected Using a Micro Unmanned Aerial Vehicle


    Beteiligte:
    Coifman, B. (Autor:in) / McCord, M. (Autor:in) / Mishalani, R. G. (Autor:in) / Iswalt, M. (Autor:in) / Ji, Y. (Autor:in)

    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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