• DocumentCode
    1980694
  • Title

    Traffic control system using wireless sensor network

  • Author

    Saqib, Muhammad ; Lee, Chankil

  • Author_Institution
    Sch. of Electr. & Comput. Sci. Eng., Hanyang Univ., Seoul, South Korea
  • Volume
    1
  • fYear
    2010
  • fDate
    7-10 Feb. 2010
  • Firstpage
    352
  • Lastpage
    357
  • Abstract
    The Real time locating system (RTLS) determines and tracks the location of assets and people. This paper presents a novel application to estimate the position and velocity of vehicle using wireless sensor network. Two Anchor nodes are used as reader along roadside and total distance between them is known. Whenever a moving vehicle with tag comes in between the common part of the operating range of two anchor nodes, exchange of information is done using Symmetric double sided two way ranging algorithm, which gives us position information. Using position information at several interval of time, velocity can be easily obtained. Position and velocity is obtained and displayed on base station. Kalman filtering is used to estimate the position and velocity from noisy measurements. Performance evaluation is done comparing vehicle position speed true values with experimental and estimated values.
  • Keywords
    Kalman filters; estimation theory; performance evaluation; position measurement; traffic control; velocity measurement; wireless sensor networks; Kalman filtering; noisy measurement; performance evaluation; position information; real time locating system; symmetric double sided two way ranging algorithm; traffic control system; vehicle position estimation; vehicle velocity estimation; wireless sensor network; Automotive engineering; Computer science; Monitoring; Position measurement; Real time systems; Sensor systems; Traffic control; Vehicles; Velocity measurement; Wireless sensor networks; CRLB; Kalman filter; SDS-TWR; TOA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2010 The 12th International Conference on
  • Conference_Location
    Phoenix Park
  • ISSN
    1738-9445
  • Print_ISBN
    978-1-4244-5427-3
  • Type

    conf

  • Filename
    5440446