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Social distancing warning system at public transportation by analyzing wi-fi signal from mobile devices

Published: 12 September 2020 Publication History

Abstract

A novel coronavirus (nCov) is a new strain that has not been previously identified in humans. The disease caused by this new virus was subsequently named the 'COVID-19'. The outbreak of COVID-19 around the world urges or forces people to isolate themselves, and now social distancing is a part of a new normal to measures taken to increase the distance between individuals to prevent people from being infected the virus. Public transportation is a necessary facility in a city used by many people every day, at the same time is a higher risk place to be infected by COVID-19. Sometime people will forget to keep the distance between nearby persons, that can be a cause of mass infection.
In this paper, we propose a social distancing warning system which is implemented by a method to separate passing- by people from waiting people by passively monitoring the activity of Wi-Fi signals from mobile devices. When the number of people in that area exceeds the allowable density, the system will warn the people to keep the distance from other people.

References

[1]
Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. [n.d.]. https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6.
[2]
Lucy Botham and Alex Waldron. [n.d.]. Apple and Google partner on COVID-19 contact tracing technology. https://www.apple.com/au/newsroom/2020/04/apple-and-google-partner-on-covid-19-contact-tracing-technology/.
[3]
Railway Bureau Ministry of Land Infrastructure Transport and Tourism. [n.d.]. https://www.mlit.go.jp/english/2006/h_railway_bureau/Laws_concerning/14.pdf.
[4]
Thongtat Oransirikul, Ryo Nishide, Ian Piumarta, and Hideyuki Takada. 2016. Feasibility of Analyzing Wi-Fi Activity to Estimate Transit Passenger Population. In 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA). 362--369.
[5]
Thongtat Oransirikul, Ian Piumarta, and Hideyuki Takada. 2019. Classifying Passenger and Non-passenger Signals in Public Transportation by Analysing Mobile Device Wi-Fi Activity. Journal of Information Processing 27 (2019), 25--32.
[6]
Premiertek. [n.d.]. Powerlink PL-H5DN-3070 WiFi adapter. http://www.premiertek.net/products/networking/PL-H5DN-3070.html.
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Rasperry Pi Foundation. [n.d.]. Rasperry Pi computer. http://www.raspberrypi.org.
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wireshark. [n.d.]. https://www.wireshark.org/docs/wsdg_html_chunked.

Cited By

View all
  • (2022)Deep visual social distancing monitoring to combat COVID-19: A comprehensive surveySustainable Cities and Society10.1016/j.scs.2022.10406485(104064)Online publication date: Oct-2022
  • (2021)Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research DirectionsSensors10.3390/s2201028022:1(280)Online publication date: 30-Dec-2021
  • (2021)Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph18201076518:20(10765)Online publication date: 14-Oct-2021

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Published In

cover image ACM Conferences
UbiComp/ISWC '20 Adjunct: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
September 2020
732 pages
ISBN:9781450380768
DOI:10.1145/3410530
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2020

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Author Tags

  1. COVID-19
  2. congestion
  3. mobile networking
  4. social distancing
  5. wi-fi monitoring

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all
  • (2022)Deep visual social distancing monitoring to combat COVID-19: A comprehensive surveySustainable Cities and Society10.1016/j.scs.2022.10406485(104064)Online publication date: Oct-2022
  • (2021)Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research DirectionsSensors10.3390/s2201028022:1(280)Online publication date: 30-Dec-2021
  • (2021)Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph18201076518:20(10765)Online publication date: 14-Oct-2021

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