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
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