TY - GEN
T1 - Analysis of Wi-Fi-Based and perceptual congestion
AU - Igarashi, Masaki
AU - Shimada, Atsushi
AU - Oka, Kaito
AU - Taniguchi, Rin Ichiro
N1 - Publisher Copyright:
Copyright © 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85048984828&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048984828&partnerID=8YFLogxK
U2 - 10.5220/0006206102250232
DO - 10.5220/0006206102250232
M3 - Conference contribution
AN - SCOPUS:85048984828
T3 - ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
SP - 225
EP - 232
BT - ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
A2 - De Marsico, Maria De
A2 - di Baja, Gabriella Sanniti
A2 - Fred, Ana
PB - SciTePress
T2 - 6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017
Y2 - 24 February 2017 through 26 February 2017
ER -