Real-Time Congestion Estimation in Sightseeing Spots with BLE Devices

Kazuhito Umeki, Yugo Nakamura, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto

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

Abstract

Recently, there is a growing demand to know con- gestion information on sightseeing spots in real-time to provide a satisfactory tour plan to tourists. Many studies on a congestion estimation have been conducted so far. However, most of them suffer from high deployment/operation costs and/or rely on contributions by users with smartphones/sensors. In this paper, we propose a novel system that estimates congestion of sightseeing spots in real-time without attaching any device to tourists by observing the distribution of per-RSSI intensity occurrences in each time window when beacon signals are periodically sent between BLE (Bluetooth Low Energy) transceivers installed in sightseeing spots. In other words, our system can estimate the congestion degree in sightseeing spots simply by using the property of RSSI intensity which dramatically changes depending on the number of people. Therefore, the proposed system is simple and low cost and can estimate the congestion easily without any special devices attached to tourists. In the demonstration, we show the congestion degree in three levels (low, medium, and high) changing in real-time depending on the number of audience in the demonstration site.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages430-432
Number of pages3
ISBN (Electronic)9781538632277
DOIs
Publication statusPublished - Oct 2 2018
Externally publishedYes
Event2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 - Athens, Greece
Duration: Mar 19 2018Mar 23 2018

Publication series

Name2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018

Conference

Conference2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018
CountryGreece
CityAthens
Period3/19/183/23/18

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Umeki, K., Nakamura, Y., Fujimoto, M., Arakawa, Y., & Yasumoto, K. (2018). Real-Time Congestion Estimation in Sightseeing Spots with BLE Devices. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 (pp. 430-432). [8480395] (2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2018.8480395