Crowd Density Mapping Based on Wi-Fi Measurements on Train Platforms

Tofigh, F; Mao, G; Lipman, J; Abolhasan, M

Crowd Density Mapping Based on Wi-Fi Measurements on Train Platforms

Tofigh, F

Mao, G

Lipman, J

Abolhasan, M

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Publication Type:: Conference Proceeding
Citation:: 2018, 12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018 - Proceedings, 2019
Issue Date:: 2019-01-31

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Field	Value	Language
dc.contributor.author	Tofigh, F https://orcid.org/0000-0003-1802-488X	en_US
dc.contributor.author	Mao, G https://orcid.org/0000-0002-3598-4949	en_US
dc.contributor.author	Lipman, J https://orcid.org/0000-0003-2877-1168	en_US
dc.contributor.author	Abolhasan, M https://orcid.org/0000-0002-4282-6666	en_US
dc.date.issued	2019-01-31	en_US
dc.identifier.citation	2018, 12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018 - Proceedings, 2019	en_US
dc.identifier.isbn	9781538656020	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133352
dc.description.abstract	© 2018 IEEE. Crowd distribution is a challenging issue in the management and design levels. This paper provides a passive method to derive the crowd density distribution using Wi-Fi measurements on a real scenario. Six WiFi access points (AP) are deployed in the platform 2/3 of Redfern station, Sydney to monitor the platform for a week. Based on the probability maps that are built using RSSI measurements and prior knowledge, the crowd distribution is calculated on the platform and its results are compared with distributions acquired from CCTV images. Final density heat maps are in good agreement with the acquired results from CCTV cameras.	en_US
dc.relation.ispartof	2018, 12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018 - Proceedings	en_US
dc.relation.isbasedon	10.1109/ICSPCS.2018.8631780	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Crowd Density Mapping Based on Wi-Fi Measurements on Train Platforms	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Crowd distribution is a challenging issue in the management and design levels. This paper provides a passive method to derive the crowd density distribution using Wi-Fi measurements on a real scenario. Six WiFi access points (AP) are deployed in the platform 2/3 of Redfern station, Sydney to monitor the platform for a week. Based on the probability maps that are built using RSSI measurements and prior knowledge, the crowd distribution is calculated on the platform and its results are compared with distributions acquired from CCTV images. Final density heat maps are in good agreement with the acquired results from CCTV cameras.

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http://hdl.handle.net/10453/133352