Analysis of Wi-Fi-based and Perceptual Congestion

Masaki Igarashi, Atsushi Shimada, Kaito Oka, Rin-ichiro Taniguchi


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.


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Paper Citation

in Harvard Style

Igarashi M., Shimada A., Oka K. and Taniguchi R. (2017). Analysis of Wi-Fi-based and Perceptual Congestion . In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 225-232. DOI: 10.5220/0006206102250232

in Bibtex Style

author={Masaki Igarashi and Atsushi Shimada and Kaito Oka and Rin-ichiro Taniguchi},
title={Analysis of Wi-Fi-based and Perceptual Congestion},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},

in EndNote Style

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Analysis of Wi-Fi-based and Perceptual Congestion
SN - 978-989-758-222-6
AU - Igarashi M.
AU - Shimada A.
AU - Oka K.
AU - Taniguchi R.
PY - 2017
SP - 225
EP - 232
DO - 10.5220/0006206102250232