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dc.contributor.authorFinochietto, José Mariano
dc.contributor.authorMicheletto, Matías
dc.contributor.authorEggly, Gabriel M.
dc.contributor.authorPueyo Centelles, Roger
dc.contributor.authorSantos, Rodrigo
dc.contributor.authorOchoa, Sergio F.
dc.contributor.authorMeseguer Pallarès, Roc
dc.contributor.authorOrozco, Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2021-03-29T12:46:36Z
dc.date.issued2021-02-05
dc.identifier.citationFinochietto, M. [et al.]. An IoT-based infrastructure to enhance self-evacuations in natural hazardous events. "Personal and ubiquitous computing", 5 Febrer 2021
dc.identifier.issn1617-4909
dc.identifier.urihttp://hdl.handle.net/2117/342741
dc.description.abstractRegardless of the extensive research conducted on large-scale evacuations, the instrumentation of these processes still represents an open issue for first response organizations. Self-evacuation of civilians that follows evacuation plans has shown to be feasible as early response to several natural disasters; however, the typical lack of interaction capability of the evacuees with first response organizations and emergency managers jeopardizes the effectiveness of these processes. This article proposes an IoT-based infrastructure that supports self-evacuation of civilians in mass processes, allowing people to participate as information providers and consumers. This infrastructure is the backbone of an ambient intelligence system used as a bridge between evacuees, first response units, and the emergency operation center managing the process. Depending on the people location and the status of the area, the system implements breadcrumbs that guide people to shelters and safe places. The proposed infrastructure includes (1) an architecture that captures the core design aspects of the solution and makes it reusable for other researchers, (2) an implementation of the system based on Raspberry Pi 3 devices with LoRa radio connectivity, (3) a mobile application that allows evacuees to interact with the evacuation system, and (4) a simplified algorithm to support the deployment of the IoT-based infrastructure into an urban area. The solution was evaluated using real measurements and simulations, and the obtained results are highly encouraging.
dc.description.sponsorshipThis work was partially funded by the Spanish Government under contract PID2019-106774RB-C21, the Spanish State Research Agency (AEI) under contracts PCI2019-111850-2 and PCI2019-111851-2 and the Generalitat de Catalunya as Consolidated Research Group 2017-SGR-990.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshInternet of things
dc.subject.lcshNatural disasters
dc.subject.lcshEvacuation of civilians
dc.subject.otherIoT-based infrastructure
dc.subject.otherAmbient intelligence system
dc.subject.otherLarge scale self-evacuations
dc.subject.otherParticipation of civilians
dc.subject.otherHuman sensors
dc.titleAn IoT-based infrastructure to enhance self-evacuations in natural hazardous events
dc.typeArticle
dc.subject.lemacInternet de les coses
dc.subject.lemacCatàstrofes naturals
dc.subject.lemacEvacuació de civils
dc.contributor.groupUniversitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
dc.identifier.doi10.1007/s00779-020-01506-z
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/article/10.1007%2Fs00779-020-01506-z
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac30785042
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/2PE/PID2019-106774RB-C21
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/2PE/PCI2019-111850-2
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/2PE/PCI2019-111851-2
dc.relation.projectidinfo:eu-repo/grantAgreement/AGAUR/2017 SGR 990
dc.date.lift2022-02-05
local.citation.authorFinochietto, M.; Micheletto, M.; Eggly, G.; Pueyo, R.; Santos, R.; Ochoa, S. F.; Meseguer, R.; Orozco, J.
local.citation.publicationNamePersonal and ubiquitous computing


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