• DocumentCode
    2621847
  • Title

    Generating Traffic Statistical Profiles Using Unmanned Helicopter-Based Video Data

  • Author

    Puri, Anuj ; Valavanis, Kimon ; Kontitsis, Michael

  • Author_Institution
    Dept. of Comput. Sci. & Eng., South Florida Univ., Tampa, FL
  • fYear
    2007
  • fDate
    10-14 April 2007
  • Firstpage
    870
  • Lastpage
    876
  • Abstract
    Small unmanned vertical take off and landing vehicles are used to provide the eye-in-the-sky alternative to monitoring and regulating traffic dynamically. Spatial-temporal visual data are collected in real time and they are used to generate traffic-related statistical profiles, serving as inputs to traffic simulation models. Generated profiles, which are continuously updated, are used to calibrate traffic model parameters, to obtain more accurate and reliable simulation models, and for model modifications. This method overcomes limitations of existing traffic simulation models, which suffer from outdated data, poorly calibrated parameters because of outdated data, questionable accuracy and poor predictions of traffic patterns.
  • Keywords
    helicopters; mobile robots; remotely operated vehicles; road traffic; traffic control; video cameras; spatial-temporal visual data; traffic monitoring; traffic regulation; traffic simulation models; traffic statistical profiles; unmanned helicopter-based video data; Air traffic control; Calibration; Communication system traffic control; Helicopters; Monitoring; Predictive models; Robotics and automation; Telecommunication traffic; Traffic control; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2007 IEEE International Conference on
  • Conference_Location
    Roma
  • ISSN
    1050-4729
  • Print_ISBN
    1-4244-0601-3
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2007.363095
  • Filename
    4209199