Congestion analysis across locations based on wi-fi signal sensing

Atsushi Shimada; Kaito Oka; Masaki Igarashi; Rin-Ichiro Taniguchi

doi:10.1007/978-3-319-93647-5_12

Congestion analysis across locations based on wi-fi signal sensing

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

Real world robotics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Many studies related to congestion analysis focus on estimating quantitative values such as actual number of people, mobile devices, and crowd density. In contrast, we focus on perceptual congestion rather than quantitative congestion; however, we also analyze the relationship between quantitative and perceptual congestion. 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 a user report-based congestion as a perceptual congestion measurement collected via our Web system. In our experiments, we investigate the relationship between these values. In addition, we apply Non-negative Tensor Factorization to extract latent patterns between locations and congestion. These latent features help us to understand the relationship of the characteristics among the locations.

Original language	English
Title of host publication	Pattern Recognition Applications and Methods - 6th International Conference, ICPRAM 2017, Revised Selected Papers
Editors	Ana Fred, Maria De Marsico, Gabriella Sanniti di Baja
Publisher	Springer Verlag
Pages	204-221
Number of pages	18
ISBN (Print)	9783319936468
DOIs	https://doi.org/10.1007/978-3-319-93647-5_12
Publication status	Published - Jan 1 2018
Event	6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017 - Porto, Portugal Duration: Feb 24 2017 → Feb 26 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10857 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017
Country	Portugal
City	Porto
Period	2/24/17 → 2/26/17

Fingerprint

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Cite this

Shimada, A., Oka, K., Igarashi, M., & Taniguchi, R-I. (2018). Congestion analysis across locations based on wi-fi signal sensing. In A. Fred, M. De Marsico, & G. S. di Baja (Eds.), Pattern Recognition Applications and Methods - 6th International Conference, ICPRAM 2017, Revised Selected Papers (pp. 204-221). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10857 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-93647-5_12

Congestion analysis across locations based on wi-fi signal sensing. / Shimada, Atsushi; Oka, Kaito; Igarashi, Masaki; Taniguchi, Rin-Ichiro.

Pattern Recognition Applications and Methods - 6th International Conference, ICPRAM 2017, Revised Selected Papers. ed. / Ana Fred; Maria De Marsico; Gabriella Sanniti di Baja. Springer Verlag, 2018. p. 204-221 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10857 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shimada, A, Oka, K, Igarashi, M & Taniguchi, R-I 2018, Congestion analysis across locations based on wi-fi signal sensing. in A Fred, M De Marsico & GS di Baja (eds), Pattern Recognition Applications and Methods - 6th International Conference, ICPRAM 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10857 LNCS, Springer Verlag, pp. 204-221, 6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017, Porto, Portugal, 2/24/17. https://doi.org/10.1007/978-3-319-93647-5_12

Shimada A, Oka K, Igarashi M, Taniguchi R-I. Congestion analysis across locations based on wi-fi signal sensing. In Fred A, De Marsico M, di Baja GS, editors, Pattern Recognition Applications and Methods - 6th International Conference, ICPRAM 2017, Revised Selected Papers. Springer Verlag. 2018. p. 204-221. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-93647-5_12

Shimada, Atsushi ; Oka, Kaito ; Igarashi, Masaki ; Taniguchi, Rin-Ichiro. / Congestion analysis across locations based on wi-fi signal sensing. Pattern Recognition Applications and Methods - 6th International Conference, ICPRAM 2017, Revised Selected Papers. editor / Ana Fred ; Maria De Marsico ; Gabriella Sanniti di Baja. Springer Verlag, 2018. pp. 204-221 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Access to Document

10.1007/978-3-319-93647-5_12