• DocumentCode
    1822022
  • Title

    A Distributed Sensor Network for Real-Time Acoustic Traffic Monitoring and Early Queue Detection

  • Author

    Barbagli, B. ; Magrini, I. ; Manes, A. ; Manes, Andrea ; Langer, G. ; Bacchi, M.

  • Author_Institution
    Dept. of Electron. & Telecommun., Univ. of Florence, Florence, Italy
  • fYear
    2010
  • fDate
    18-25 July 2010
  • Firstpage
    173
  • Lastpage
    178
  • Abstract
    A novel sensor network configuration is introduced for traffic surveillance in Intelligent Transportation Systems. Distributed sensor nodes based on passive acoustic transducers are non intrusively/obtrusively deployed at motorway road-side to provide real-time traffic data collection for dynamic queue/jam detection. The system is capable to provide a complete real-time picture of traffic flow at unprecedented time/space scale. The infrastructure is based on a stand-alone, install-and-forget architecture, featuring an energy efficient protocol for sensor networking and providing connectivity to back-end computing environment via TCP/IP over UMTS. Extensive experimental demonstration is given for long term operation on a motorway test site.
  • Keywords
    3G mobile communication; acoustic transducers; protocols; road traffic; traffic engineering computing; transport protocols; wireless sensor networks; TCP/IP; UMTS; back-end computing environment; distributed sensor network; early queue detection; energy efficient protocol; install-and-forget architecture; intelligent transportation systems; jam detection; motorway test site; passive acoustic transducers; real-time acoustic traffic monitoring; real-time traffic data collection; sensor network configuration; traffic flow; traffic surveillance; Acoustics; Delay effects; Manganese; Monitoring; Real time systems; Tin; Vehicles; acoustic sensors; cross correlation; intelligent transportation systems; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Technologies and Applications (SENSORCOMM), 2010 Fourth International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    978-1-4244-7538-4
  • Type

    conf

  • DOI
    10.1109/SENSORCOMM.2010.102
  • Filename
    5558049