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dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorPraticò, Filippo G.
dc.contributor.authorFedele, Rosario
dc.contributor.authorPizzi, Sara
dc.contributor.authorAraniti, Giuseppe
dc.date.accessioned2024-08-27T12:42:52Z
dc.date.available2024-08-27T12:42:52Z
dc.date.issued2020
dc.date.submitted2020-02-13
dc.identifier.issn2029-7092en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/154769
dc.description.abstractFuture smart cities that will exploit the forthcoming fifth-generation (5G) network will strongly contribute to the development of intelligent transport systems, which will be able to effectively manage changing infrastructural conditions, and to timely exchange crucial information with different stakeholders to improve sustainability and safety. To this end, smart wireless sensing nodes can be effectively exploited. Consequently, the objectives of this study are: 1) to describe the setup and the main potentialities of a wireless sensing system designed for monitoring the environmental and structural conditions on road pavements; 2) to provide an overview about the capability of the 5G network to enable the data exchange required by the designed system. Each sensing node includes different sensors, and is able to send the data gathered from the resource-constrained sensors to a web server used for data processing. Vibrational-, acoustical-, and environmental-related data are used to control traffic pollution, road availability and structural status. The paper describes the in-lab tests carried out on asphalt concrete samples to: i) calibrate the sensors; ii) define structural and environmental thresholds. Results show that the tested node is able to provide reliable data that can be used for the above-described purposes.en_US
dc.format.extent8 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154498en_US
dc.rightsAttribution 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.source.urihttp://enviro.vgtu.lt/index.php/enviro/2020/paper/view/624en_US
dc.subjectsmart citiesen_US
dc.subjectsmart roadsen_US
dc.subjectmonitoring systemen_US
dc.subjectwireless sensing nodesen_US
dc.subjectenvironmental and structural conditionsen_US
dc.subject5Gen_US
dc.titleIntelligent transport systems exploiting smart wireless sensing nodesen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeSmart cities, roads and railwaysen_US
dcterms.dateAccepted2020-04-20
dcterms.issued2020-05-22
dcterms.licenseCC BYen_US
dcterms.references25en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionUniversity Mediterranea of Reggio Calabriaen_US
dcterms.sourcetitle11th International Conference “Environmental Engineering” (ICEE-2020)en_US
dc.identifier.eisbn9786094762321en_US
dc.identifier.eissn2029-7092en_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.description.grantnameUSR342en_US
dc.description.grantnumberPRIN2017XYM8KCen_US
dc.identifier.doihttps://doi.org/10.3846/enviro.2020.624en_US


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Kūrybinių bendrijų licencija / Creative Commons licence
Except where otherwise noted, this item's license is described as Kūrybinių bendrijų licencija / Creative Commons licence