Counting vehicles: Learning from animal population estimation

Yongtae Park, Hyogon Kim

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)

    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.

    Original languageEnglish
    Article number6829961
    Pages (from-to)178-183
    Number of pages6
    JournalIEEE Communications Magazine
    Volume52
    Issue number6
    DOIs
    Publication statusPublished - 2014 Jun

    ASJC Scopus subject areas

    • Computer Science Applications
    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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