IoT-based decision support system for monitoring and mitigating atmospheric pollution in smart cities

dc.contributor.authorMiles, Alexander
dc.contributor.authorZaslavsky, Arkady
dc.contributor.authorBrowne, Chris
dc.date.accessioned2024-05-09T00:29:32Z
dc.date.issued2018
dc.date.updated2023-01-08T07:17:34Z
dc.description.abstractRapid increases in the world’s population, increased urban density and increased congestion have created upwards pressure that has seen traffic-related pollution growing at a rapid pace. As atmospheric pollution has a proven detrimental effect on human health and decreases the ambience and general liveability of the world’s cities. Developing, deciding and implementing effective atmospheric pollution and mitigation strategies has become of the utmost importance to policy-makers around the world. Alongside the increase in urban densification, there has been a rapid increase in Smart City infrastructure, made possible by harnessing data from low-cost sensors that can report information in a timely, dependable and accurate manner. This paper proposes a decision support system (DSS) that uses an underlying traffic model to inform an atmospheric dispersion model. Mitigation strategies can then be tested within the DSS through simulation of strategies in the underlying traffic model and analysing the effect on the forecasted atmospheric pollution levels. The proposed DSS is used to detect a critical level of atmospheric pollution and then may respond via the implementation of full road closures. While a partial road closure is not incorporated in this paper it is a trivial extension and diverting a subsection of the polluting traffic (e.g. heavy trucks) may be an easier policy to implement. The paper demonstrates the ability of the DSS to prevent atmospheric pollution from reaching hazardous levels and inform policy-makers as to when and where mitigation treatments should be implemented for the best outcome.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1246-0125en_AU
dc.identifier.urihttp://hdl.handle.net/1885/317374
dc.language.isoen_AUen_AU
dc.publisherHermes Science Publicationsen_AU
dc.rights© 2018 informa uK limited, trading as taylor & francis Groupen_AU
dc.sourceJournal of Decision Systemsen_AU
dc.subjecttraffic managementen_AU
dc.subjectatmospheric pollutionen_AU
dc.subjectair quality managementen_AU
dc.subjectmitigation measuresen_AU
dc.subjectmodelling frameworken_AU
dc.titleIoT-based decision support system for monitoring and mitigating atmospheric pollution in smart citiesen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage67en_AU
local.bibliographicCitation.startpage56en_AU
local.contributor.affiliationMiles, Alex, College of Engineering, Computing and Cybernetics, ANUen_AU
local.contributor.affiliationZaslavsky, Arkady, CSIRO ICT Centreen_AU
local.contributor.affiliationBrowne, Chris, College of Engineering, Computing and Cybernetics, ANUen_AU
local.contributor.authoremailu3951377@anu.edu.auen_AU
local.contributor.authoruidMiles, Alex, t1807en_AU
local.contributor.authoruidBrowne, Chris, u3951377en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor460603 - Cyberphysical systems and internet of thingsen_AU
local.identifier.ariespublicationu4485658xPUB2413en_AU
local.identifier.citationvolume27en_AU
local.identifier.doi10.1080/12460125.2018.1468696en_AU
local.identifier.scopusID2-s2.0-85046635599
local.identifier.thomsonIDWOS:000435394900006
local.identifier.uidSubmittedByu4485658en_AU
local.publisher.urlhttps://www.tandfonline.com/en_AU
local.type.statusPublished Versionen_AU

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