Analysis of Wi-Fi-Based and perceptual congestion

Masaki Igarashi, Atsushi Shimada, Kaito Oka, Rin Ichiro Taniguchi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトルICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
編集者Maria De De Marsico, Gabriella Sanniti di Baja, Ana Fred
出版社SciTePress
ページ225-232
ページ数8
ISBN(電子版)9789897582226
DOI
出版ステータス出版済み - 1 1 2017
イベント6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017 - Porto, ポルトガル
継続期間: 2 24 20172 26 2017

出版物シリーズ

名前ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
2017-January

会議

会議6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017
Countryポルトガル
CityPorto
Period2/24/172/26/17

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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