Counting vehicles: Learning from animal population estimation

Yongtae Park, Hyogon Kim

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


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
Issue number6
Publication statusPublished - 2014 Jun

ASJC Scopus subject areas

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


Dive into the research topics of 'Counting vehicles: Learning from animal population estimation'. Together they form a unique fingerprint.

Cite this