Network-based positioning and pedestrian flow measurement system utilizing densely placed wireless access points

Hiroaki Togashi, Hiroshi Furukawa, Yuki Yamaguchi, Ryuta Abe, Junpei Shimamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Although accurate positioning systems are important to provide location-aware services, solutions that are applicable in high-rise areas and inside buildings have not yet been realized. We propose an accurate positioning system that utilizes widely and densely placed Wi-Fi access points. The proposed system utilizes probe request signals broadcast by mobile devices to estimate their positions. The positioning algorithm is based on proximity detection using received signal strength indication. In addition, the proposed method employs a computation time reduction strategy and error reduction techniques. The proposed system can also show pedestrian flow, which is valuable information for developing shop branching plans, street improvement, and so on. The experimental results show that the proposed positioning system achieved an accuracy of 5.36 m. The system can also visualize pedestrian flow trends in a given Wi-Fi coverage area based on the position estimates.

Original languageEnglish
Title of host publication2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509024254
DOIs
Publication statusPublished - Nov 14 2016
Event2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 - Madrid, Spain
Duration: Oct 4 2016Oct 7 2016

Publication series

Name2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016

Other

Other2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016
CountrySpain
CityMadrid
Period10/4/1610/7/16

Fingerprint

Pedestrian Flow
Flow Measurement
Wi-Fi
flow measurement
Flow measurement
Measurement System
positioning
Positioning
Mobile devices
shops
streets
estimates
proximity
Error Reduction
Received Signal Strength
indication
trends
Mobile Devices
Estimate
Broadcast

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Control and Optimization
  • Instrumentation

Cite this

Togashi, H., Furukawa, H., Yamaguchi, Y., Abe, R., & Shimamura, J. (2016). Network-based positioning and pedestrian flow measurement system utilizing densely placed wireless access points. In 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 [7743648] (2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPIN.2016.7743648

Network-based positioning and pedestrian flow measurement system utilizing densely placed wireless access points. / Togashi, Hiroaki; Furukawa, Hiroshi; Yamaguchi, Yuki; Abe, Ryuta; Shimamura, Junpei.

2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7743648 (2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Togashi, H, Furukawa, H, Yamaguchi, Y, Abe, R & Shimamura, J 2016, Network-based positioning and pedestrian flow measurement system utilizing densely placed wireless access points. in 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016., 7743648, 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016, Institute of Electrical and Electronics Engineers Inc., 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016, Madrid, Spain, 10/4/16. https://doi.org/10.1109/IPIN.2016.7743648
Togashi H, Furukawa H, Yamaguchi Y, Abe R, Shimamura J. Network-based positioning and pedestrian flow measurement system utilizing densely placed wireless access points. In 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7743648. (2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016). https://doi.org/10.1109/IPIN.2016.7743648
Togashi, Hiroaki ; Furukawa, Hiroshi ; Yamaguchi, Yuki ; Abe, Ryuta ; Shimamura, Junpei. / Network-based positioning and pedestrian flow measurement system utilizing densely placed wireless access points. 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016).
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