Rodyti trumpą aprašą

dc.contributor.authorDanilevičius, Algimantas
dc.contributor.authorKarpenko, Mykola
dc.contributor.authorKřivánek, Vítězslav
dc.date.accessioned2023-09-18T16:36:05Z
dc.date.available2023-09-18T16:36:05Z
dc.date.issued2023
dc.identifier.issn1648-4142
dc.identifier.other(crossref_id)145495124
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/115331
dc.description.abstractThe noise pollution inside urban areas is one of the common problems for the inhabitants. The different levels of a noise are generated from the large amount of sources, including traffic flow on a road of urban areas. Therefore, it is essential to measure and evaluate the road traffic noise in urban areas and its population exposure in order to obtain models of a traffic noise as well as the noise mapping. The current research includes establishing a traffic noise from the different types of vehicles caused by the speed in urban areas and different road pavements (dry, wet and covered with a snow) with generalising the obtained data for more accurate using in future traffic noise models and the noise mapping. The study region is Vilnius (Lithuania), the speed range for different categories of the vehicles in the collected data is 40…130 km/h, with wide ranges of a noise level 20…180 dB. The approach presented in this research of experimental measurements is based on Statistical Pass-By (SPB) method with data proceeding upon implementation of Pearson correlation coefficient. In course of the analysis of the obtained results, it was found that the level of the curves of noise depends on the vehicles’ speed what corresponds to the best-measured values and can be used in the traffic noise models and the noise mapping.eng
dc.formatPDF
dc.format.extentp. 1-11
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyProQuest Central
dc.relation.isreferencedbyVINITI RAN
dc.relation.isreferencedbyICONDA
dc.relation.isreferencedbyAcademic Search Complete
dc.relation.isreferencedbyScopus
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://journals.vilniustech.lt/index.php/Transport/article/view/18666/11614
dc.source.urihttps://journals.vilniustech.lt/index.php/Transport/article/view/18666
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:157328786/datastreams/MAIN/content
dc.titleResearch on the noise pollution from different vehicle categories in the urban area
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references55
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionTransport Research Centre (CDV), Brno
dc.contributor.facultyTransporto inžinerijos fakultetas / Faculty of Transport Engineering
dc.subject.researchfieldT 003 - Transporto inžinerija / Transport engineering
dc.subject.studydirectionE12 - Transporto inžinerija / Transport engineering
dc.subject.vgtuprioritizedfieldsTD05 - Miesto judumas / Urban mobility
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.ennoise pollution
dc.subject.envehicle, traffic
dc.subject.encorrelation coefficient
dc.subject.enspeed
dc.subject.enroad pavement
dc.subject.ensound level
dc.subject.enurban area
dc.subject.enSPB method
dcterms.sourcetitleTransport
dc.description.issueiss. 1
dc.description.volumevol. 38
dc.publisher.nameVilnius Gediminas Technical University
dc.publisher.cityVilnius
dc.identifier.doi145495124
dc.identifier.doi001026239100001
dc.identifier.doi10.3846/transport.2023.18666
dc.identifier.elaba157328786


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