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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributorUniversidad de Deusto. Facultad de Ingeniería
dc.contributorDeustoTech - Fundación Deusto
dc.contributor.authorAlsina Pagès, Rosa Maria
dc.contributor.authorHernández Jayo, Unai
dc.contributor.authorAlías Pujol, Francesc
dc.contributor.authorAngulo Martínez, Ignacio
dc.date.accessioned2020-03-25T16:30:41Z
dc.date.accessioned2023-10-02T06:44:13Z
dc.date.available2020-03-25T16:30:41Z
dc.date.available2023-10-02T06:44:13Z
dc.date.created2016-09
dc.date.issued2016-12
dc.identifier.urihttp://hdl.handle.net/20.500.14342/3442
dc.description.abstractOne of the main priorities of smart cities is improving the quality of life of their inhabitants. Traffic noise is one of the pollutant sources that causes a negative impact on the quality of life of citizens, which is gaining attention among authorities. The European Commission has promoted the Environmental Noise Directive 2002/49/EC (END) to inform citizens and to prevent the harmful effects of noise exposure. The measure of acoustic levels using noise maps is a strategic issue in the END action plan. Noise maps are typically calculated by computing the average noise during one year and updated every five years. Hence, the implementation of dynamic noise mapping systems could lead to short-term plan actions, besides helping to better understand the evolution of noise levels along time. Recently, some projects have started the monitoring of noise levels in urban areas by means of acoustic sensor networks settled in strategic locations across the city, while others have taken advantage of collaborative citizen sensing mobile applications. In this paper, we describe the design of an acoustic low-cost sensor network installed on public buses to measure the traffic noise in the city in real time. Moreover, the challenges that a ubiquitous bus acoustic measurement system entails are enumerated and discussed. Specifically, the analysis takes into account the feature extraction of the audio signal, the identification and separation of the road traffic noise from urban traffic noise, the hardware platform to measure and process the acoustic signal, the connectivity between the several nodes of the acoustic sensor network to store the data and, finally, the noise maps’ generation process. The implementation and evaluation of the proposal in a real-life scenario is left for future workeng
dc.format.extent21 p.
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofSensors. 2016, Vol. 17 No.1
dc.rights© L'autor/a
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherSoroll
dc.subject.otherSoroll urbà
dc.subject.otherCiutats Intel·ligents
dc.titleDesign of a Mobile Low-Cost Sensor Network Using Urban Buses for Real-Time Ubiquitous Noise Monitoring
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscap
dc.identifier.doihttps://doi.org/10.3390/s17010057
dc.relation.projectIDinfo:eu-repo/grantAgreement/ACM/Ayudas a Proyectos de Investigación/ACM2016_06
dc.relation.projectIDinfo:eu-repo/grantAgreement/SUR del DEC/SGR/2014-SGR-0590


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