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An IoT-based infrastructure to enhance self-evacuations in natural hazardous events
dc.contributor.author | Finochietto, José Mariano |
dc.contributor.author | Micheletto, Matías |
dc.contributor.author | Eggly, Gabriel M. |
dc.contributor.author | Pueyo Centelles, Roger |
dc.contributor.author | Santos, Rodrigo |
dc.contributor.author | Ochoa, Sergio F. |
dc.contributor.author | Meseguer Pallarès, Roc |
dc.contributor.author | Orozco, Javier |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2021-03-29T12:46:36Z |
dc.date.available | 2022-02-05T01:26:49Z |
dc.date.issued | 2022 |
dc.identifier.citation | Finochietto, M. [et al.]. An IoT-based infrastructure to enhance self-evacuations in natural hazardous events. "Personal and ubiquitous computing", 2022, vol. 26, núm. 6, p. 1461-1478. |
dc.identifier.issn | 1617-4909 |
dc.identifier.uri | http://hdl.handle.net/2117/342741 |
dc.description.abstract | Regardless 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.sponsorship | This 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.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | Internet of things |
dc.subject.lcsh | Natural disasters |
dc.subject.lcsh | Evacuation of civilians |
dc.subject.other | IoT-based infrastructure |
dc.subject.other | Ambient intelligence system |
dc.subject.other | Large scale self-evacuations |
dc.subject.other | Participation of civilians |
dc.subject.other | Human sensors |
dc.title | An IoT-based infrastructure to enhance self-evacuations in natural hazardous events |
dc.type | Article |
dc.subject.lemac | Internet de les coses |
dc.subject.lemac | Catàstrofes naturals |
dc.subject.lemac | Evacuació de civils |
dc.contributor.group | Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts |
dc.identifier.doi | 10.1007/s00779-020-01506-z |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://link.springer.com/article/10.1007%2Fs00779-020-01506-z |
dc.rights.access | Open Access |
local.identifier.drac | 30785042 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106774RB-C21/ES/SISTEMAS INFORMATICOS Y DE RED DESCENTRALIZADOS CON RECURSOS DISTRIBUIDOS/ |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PCI2019-111850-2/ES/PROCESAMIENTO DE FLUJO DISTRIBUIDO EN SISTEMAS DE NIEBLA Y BORDE MEDIANTE COMPUTACION TRANSPRECISA/ |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PCI2019-111851-2/ES/MARCO DE ASIGNACION DE RECURSOS HOLISTICO Y FUNDACIONAL PARA SERVICIOS EDGE COMPUTING OPTIMIZADOS Y CON ALTO IMPACTO/ |
dc.relation.projectid | info:eu-repo/grantAgreement/AGAUR/2017 SGR 990 |
local.citation.author | Finochietto, M.; Micheletto, M.; Eggly, G.; Pueyo, R.; Santos, R.; Ochoa, S. F.; Meseguer, R.; Orozco, J. |
local.citation.publicationName | Personal and ubiquitous computing |
local.citation.volume | 26 |
local.citation.number | 6 |
local.citation.startingPage | 1461 |
local.citation.endingPage | 1478 |
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