2017年
Analysis of Wi-Fi-based and Perceptual Congestion
ICPRAM: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS
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- 開始ページ
- 225
- 終了ページ
- 232
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.5220/0006206102250232
- 出版者・発行元
- SCITEPRESS
Conventional works for congestion estimates focus on estimating quantitative congestion (e.g., actual number of people, mobile devices, and crowd density). Meanwhile, we focus on perceptual congestion rather than quantitative congestion toward providing perceptual congestion information. We analyze the relationship between quantitative and perceptual congestion. For this analysis, we construct a system for estimating and visualizing congestion and collecting user reports about congestion. We use the number of mobile devices as quantitative congestion measurements obtained from Wi-Fi packet sensors, and user-report-based congestion as a perceptual congestion measurement collected via our Web service. Base on the obtained quantitative and perceptual congestion, we investigate the relationship between these values.
- リンク情報
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- DOI
- https://doi.org/10.5220/0006206102250232
- DBLP
- https://dblp.uni-trier.de/rec/conf/icpram/IgarashiSOT17
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000413240500025&DestApp=WOS_CPL
- URL
- http://dblp.uni-trier.de/db/conf/icpram/icpram2017.html#conf/icpram/IgarashiSOT17
- ID情報
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- DOI : 10.5220/0006206102250232
- DBLP ID : conf/icpram/IgarashiSOT17
- Web of Science ID : WOS:000413240500025