• DocumentCode
    2366784
  • Title

    Methods of traffic data collection, using aerial video

  • Author

    Angel, Alejandm ; Hickman, Mark ; Mirchandani, Pitu ; Chandnani, Dmesh

  • Author_Institution
    ATLAS Center, Arizona Univ., Tucson, AZ, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    31
  • Lastpage
    36
  • Abstract
    A limitation of most traditional methods of traffic data collection is that they rely on techniques that are strictly local in nature. Aerial imagery sensors can provide sufficient resolution to sense vehicle locations and movements across broader spatial and temporal scales. Digital video, Global Positioning Systems (GPS), and automated image processing are used to improve the spatial coverage, accuracy and cost-effectiveness of the data collection and reduction. In the paper, a general technique for collecting and analyzing aerial video data is given. To illustrate the value of these data, the paper outlines methods to generate estimates of speeds, travel times, densities, and queuing delays.
  • Keywords
    edge detection; image colour analysis; image registration; image sensors; remote sensing; road traffic; traffic recording; video signal processing; Global Positioning Systems; aerial imagery sensors; aerial video; automated image processing; data reduction; digital video; queuing delays; remote sensing; spatial coverage; traffic data collection; traffic densities; travel times; vehicle locations; vehicle movements; video image processing; Cameras; Delay estimation; Global Positioning System; Helicopters; Image resolution; Image sensors; Photography; Remote sensing; Spatial resolution; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on
  • Print_ISBN
    0-7803-7389-8
  • Type

    conf

  • DOI
    10.1109/ITSC.2002.1041184
  • Filename
    1041184