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dc.contributor.authorTomić, Jelena-
dc.contributor.authorBogojevic, Nebojsa-
dc.contributor.authorRadičević, Branko-
dc.contributor.authorŠoškić, Zlatan-
dc.contributor.editorCvetković, Dragan-
dc.contributor.editorMarinca, Vasile-
dc.contributor.editorHerisanu, Nicolae-
dc.contributor.editorPraščević, Momir-
dc.date.accessioned2024-03-28T09:34:16Z-
dc.date.available2024-03-28T09:34:16Z-
dc.date.issued2018-
dc.identifier.isbn978-86-6093-088-2en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/20417-
dc.descriptionN&V 2018en_US
dc.description.abstractIn order to control noise levels it is necessary to have a suitable calculation method for traffic noise prediction. Since 1950s many mathematical models for estimation of traffic noise pollution have been developed, and most of avaliable models found in literature are based on regression analysis. This paper presents the application of genetic algorithm in development of simple mathematical model for prediction of equivalent A-weighted level of road traffic noise in urban areas of the city of Kraljevo. Predictions of developed mathematical model are compared to experimental data colected by traffic noise measuring, as well as to predictions of commonly used traffic noise models, and obtained results of statistical analysis of differences between measured and calculated noise levels are shown in this paper.en_US
dc.description.sponsorshipThe Ministry of Education, Science and Technological Development of the Republic of Serbia, Bruel & Kjaeren_US
dc.description.urihttps://www.znrfak.ni.ac.rs/en_US
dc.language.isoenen_US
dc.publisherFaculty of occupational safety, University of Nišen_US
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.source26th International Conference Noise and Vibration - N&V 2018en_US
dc.subjectgenetic algorithmen_US
dc.subjecttraffic noiseen_US
dc.subjectprediction modelen_US
dc.subjectregression analysisen_US
dc.titleApplication of Genetic Algorithm in Developing of Traffic Noise Prediction Modelen_US
dc.typeconferenceObjecten_US
dc.description.versionPublisheden_US
dc.type.versionPublishedVersionen_US
Налази се у колекцијама:Faculty of Mechanical and Civil Engineering, Kraljevo

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