• DocumentCode
    1930568
  • Title

    Data Acquisition Process for Intelligent Traffic Light Using Vision Sensor

  • Author

    Hassan, Mohammad S. ; Arshad, Nurul W. ; Ghazali, Kamarul H. ; Hamid, Rosyati

  • Author_Institution
    Vision & Intell. Syst. Group, Univ. Malaysia Pahang, Pekan, Malaysia
  • fYear
    2012
  • fDate
    25-27 Sept. 2012
  • Firstpage
    54
  • Lastpage
    59
  • Abstract
    The traffic jam frequently occur in a large town and city caused by the crowd of vehicle and many traffic light within short distance. Normally, the emergency vehicle could not reach the destination during emergency due to heavy traffic. To overcome this problem, this project has been developed using vision sensor based on Camera-closed Circuit Television (CCTV) to search for emergency vehicles on the road. The existence of an emergency vehicle will be captured by CCTV and the traffic light will be controlled by the intelligent system. This paper presents the analysis of data acquisition process to determine the best position and angle to capture the video. Hence this paper show with suitable position and angle of the camera, it contribute 94% accuracy to the system.
  • Keywords
    automated highways; closed circuit television; data acquisition; image sensors; road vehicles; traffic engineering computing; video cameras; CCTV; camera-closed circuit television; data acquisition process; emergency vehicle; intelligent traffic light; road vehicles; traffic jam; vision sensor; Artificial intelligence; Cameras; Data acquisition; Image processing; Roads; Vehicles; image processing; intelligent traffic light; vision sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on
  • Conference_Location
    Kuantan
  • ISSN
    2166-8531
  • Print_ISBN
    978-1-4673-3113-5
  • Type

    conf

  • DOI
    10.1109/CIMSim.2012.67
  • Filename
    6338045