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On the Use of Mobile Sensors for Estimating City-Wide Pollution Levels

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On the Use of Mobile Sensors for Estimating City-Wide Pollution Levels

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dc.contributor.author Tavares de Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.contributor.author Ducourthial, Bertrand es_ES
dc.date.accessioned 2016-06-28T11:57:57Z
dc.date.available 2016-06-28T11:57:57Z
dc.date.issued 2015-08
dc.identifier.isbn 978-1-4799-5343-1
dc.identifier.issn 2376-6492
dc.identifier.uri http://hdl.handle.net/10251/66683
dc.description ©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. es_ES
dc.description.abstract Obtaining detailed pollution maps for urban environments is an effort that is gathering much interest by allowing to better regulate traffic and protect citizens from hazardous conditions. However, the scarcity of pollution sensors prevents obtaining the desired degree of detail, requiring alternative solutions to be deployed. In this paper we explore the concept of mobile pollution sensing by studying the feasibility of equipping buses with ozone measurement hardware to estimate ozone patterns for the city of Compiègne. Overall, we achieve accurate estimations, with error values typically ranging from 2% to 10%. Compared to solutions based on deploying static sensors on the different bus stops available, we find that the proposed mobile sensing approach is able to provide a degree of accuracy comparable to deploying tens of static sensors, substantially reducing costs and management. es_ES
dc.description.sponsorship This work was carried out and funded in the framework of the Labex MSZT. It was supported by the French Government, through the program "Investments for the future” managed by the National Agency for Research (Reference ANR-11-IDEX-0004-02). This work was partially funded by the Celtic Plus CoMoSeF project "Cooperative mobility for the services of the future". The authors thank the Agglomération de la Région de Compiégne (ARC). es_ES
dc.format.extent 6 es_ES
dc.language Inglés es_ES
dc.publisher IEEE es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Mobile sensing es_ES
dc.subject Pollution es_ES
dc.subject Ozone es_ES
dc.subject Geostatistics es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title On the Use of Mobile Sensors for Estimating City-Wide Pollution Levels es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1109/IWCMC.2015.7289093
dc.relation.projectID info:eu-repo/grantAgreement/Eureka Network//CPP2011%2F2-2/EU/Co-operative Mobility Services of the Future/CoMoSeF/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ANR//ANR-11-IDEX-0004/FR/Sorbonne Universités à Paris pour l'Enseignement et la Recherche/SUPER/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Tavares De Araujo Cesariny Calafate, CM.; Ducourthial, B. (2015). On the Use of Mobile Sensors for Estimating City-Wide Pollution Levels. IEEE. doi:10.1109/IWCMC.2015.7289093 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 11th International Wireless Communications and Mobile Computing Conference (IWCMC 2015). Communications for the 21st Century es_ES
dc.relation.conferencedate August 24-28, 2015 es_ES
dc.relation.conferenceplace Dubrovnik, Croatia es_ES
dc.relation.publisherversion http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7275105 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 293366 es_ES
dc.contributor.funder Agence Nationale de la Recherche, Francia es_ES
dc.contributor.funder Eureka Network es_ES


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