AqVision: A tool for air quality data visualisation and pollution-free route tracking for smart city

Forkan, ARM; Kimm, G; Morshed, A; Jayaraman, PP; Banerjee, A; Huang, W

AqVision: A tool for air quality data visualisation and pollution-free route tracking for smart city

Forkan, ARM Kimm, G Morshed, A Jayaraman, PP Banerjee, A Huang, W

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2019 23rd International Conference in Information Visualization - Part II, IV-2 2019, 2019, pp. 47 - 51
Issue Date:: 2019-07-01

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Field	Value	Language
dc.contributor.author	Forkan, ARM	en_US
dc.contributor.author	Kimm, G	en_US
dc.contributor.author	Morshed, A	en_US
dc.contributor.author	Jayaraman, PP	en_US
dc.contributor.author	Banerjee, A	en_US
dc.contributor.author	Huang, W https://orcid.org/0000-0002-5190-7839	en_US
dc.date.issued	2019-07-01	en_US
dc.identifier.citation	Proceedings - 2019 23rd International Conference in Information Visualization - Part II, IV-2 2019, 2019, pp. 47 - 51	en_US
dc.identifier.isbn	9781728128504	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137549
dc.description.abstract	© 2019 IEEE. Air quality is an important factor in planning activities in our everyday life. The information presented though captured data using Internet of Things (IoT) in smart cities is mostly single-dimensional where citizens do not have much opportunities to directly interact with the system to get personalised insights. Recent years have seen dire reports of extreme air pollution in mega cities around the world, which has led to government authorities grappling with solutions. Taking into account the existing IoT sensor setup in smart cities, it is now very convenient to visually explore the level of pollution of any places in real-time. In this context, this paper presents AqVision, a flexible visualisation tool for future citizens in smart cities that combines personalised awareness with generalised needs and leverages to envisage air pollution hotspots using more interactive manners considering individualised health and safety concerns.	en_US
dc.relation.ispartof	Proceedings - 2019 23rd International Conference in Information Visualization - Part II, IV-2 2019	en_US
dc.relation.isbasedon	10.1109/IV-2.2019.00018	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	AqVision: A tool for air quality data visualisation and pollution-free route tracking for smart city	en_US
dc.type	Conference Proceeding
utslib.for	0502 Environmental Science and Management	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 Transdisciplinary Innovation
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2019 IEEE. Air quality is an important factor in planning activities in our everyday life. The information presented though captured data using Internet of Things (IoT) in smart cities is mostly single-dimensional where citizens do not have much opportunities to directly interact with the system to get personalised insights. Recent years have seen dire reports of extreme air pollution in mega cities around the world, which has led to government authorities grappling with solutions. Taking into account the existing IoT sensor setup in smart cities, it is now very convenient to visually explore the level of pollution of any places in real-time. In this context, this paper presents AqVision, a flexible visualisation tool for future citizens in smart cities that combines personalised awareness with generalised needs and leverages to envisage air pollution hotspots using more interactive manners considering individualised health and safety concerns.

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http://hdl.handle.net/10453/137549