• DocumentCode
    154186
  • Title

    An Infrastructure-less Vehicle Counting without Disruption

  • Author

    Jie Wu ; Sabatino, Paul ; Tsan, Jennifer ; Zhen Jiang

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Temple Univ., Philadelphia, PA, USA
  • fYear
    2014
  • fDate
    9-12 Sept. 2014
  • Firstpage
    520
  • Lastpage
    528
  • Abstract
    This paper presents a solution to count all moving vehicles in a target region. This is a large-scale counting that cannot be easily solved without a global view. However, there is no single force that can provide such a global view. To achieve an accurate result without either double- or miscounting, the local counting at each checkpoint is synchronized in our wireless communication by using the information carried by vehicles along the traffic flow. Our analytical and experimental results illustrate the correctness of the proposed scheme in both closed and open road systems - even when the wireless signal is affected by many factors. In this way, we provide an essential support for the resource management in VANETs.
  • Keywords
    road traffic; traffic information systems; vehicular ad hoc networks; VANET; closed road systems; infrastructure-less vehicle counting; large-scale counting; moving vehicles; open road systems; resource management; wireless communication; Radiation detectors; Roads; Surveillance; Synchronization; Trajectory; Vehicles; Wireless communication; Distributed algorithm; inter-vehicle wireless communication; resource management; traffic surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing (ICPP), 2014 43rd International Conference on
  • Conference_Location
    Minneapolis MN
  • ISSN
    0190-3918
  • Type

    conf

  • DOI
    10.1109/ICPP.2014.61
  • Filename
    6957261