• DocumentCode
    46534
  • Title

    Counting vehicles: Learning from animal population estimation

  • Author

    Yongtae Park ; Hyogon Kim

  • Author_Institution
    Korea Univ., Seoul, South Korea
  • Volume
    52
  • Issue
    6
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    178
  • Lastpage
    183
  • Abstract
    In the soon-to-be realized IEEE Wireless Access in Vehicular Environment (WAVE) system, vehicles are supposed to broadcast their movement information periodically. Although this beaconing mechanism has been designed mainly to reduce the risk of vehicle crashes in various driving contexts, it can easily be exploited for implementing many other applications. In particular, applications such as traffic situation monitoring and safety message overload control can be enabled by just counting the beacons. Counter to our intuition, however, simple counting is inadequate to enumerate the real vehicle population and generally leads to underestimation. This article first sheds light on this aspect, and then discusses how it can be overcome by drawing from experiences in wild animal counting in ecological studies.
  • Keywords
    ecology; radio access networks; road safety; road traffic; vehicular ad hoc networks; IEEE wireless access in vehicular environment system; WAVE system; animal population estimation; beaconing mechanism; safety message overload control; traffic situation monitoring; vehicle crashes risk reduction; wild animal counting; Automotive electronics; Biological system modeling; Estimation; Intelligent vehicles; Sociology; Statistics; Wireless communication;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2014.6829961
  • Filename
    6829961