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dc.contributor.authorvan Hauwermeiren, W
dc.contributor.authorBotteldooren, D
dc.contributor.authorFilipan, K
dc.contributor.authorde Coensel, B
dc.date.accessioned2021-04-29T00:00:56Z
dc.date.available2021-04-29T00:00:56Z
dc.date.issued2020
dc.identifier.isbn9781713822233
dc.identifier.urihttp://hdl.handle.net/10072/403863
dc.description.abstractRoad surface type and degradation contribute significantly to the rolling noise emission. In recent times, due to the innovation in vehicle propulsion, rolling noise also becomes a main factor in noise emission for lower order roads. Monitoring and labelling these roads, requires considerably more effort than monitoring primary roads and highways due to their large number. Therefore, we propose an opportunistic method where vehicles that are on the roads for other purposes, are used for rolling noise monitoring. The proposed method may also have some additional benefits over the standard CPX regarding the distribution of tires used and the spread of typical driving speeds. However, measurement conditions are not as well known and may influence the results obtained from individual vehicles significantly. The abundance of measurements data from many vehicles will nevertheless allow to eliminate any modifiers and confounders. To that end, a machine learning cleaning algorithm inspired by denoising auto-encoders has been designed and implemented. This cleaning algorithm improves the convergence of measurements, giving the same quality of measurements with a lower number of passages and cars on a road segment.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherCurran Associates
dc.publisher.urihttps://www.ingentaconnect.com/contentone/ince/incecp/2020/00000261/00000004/art00015
dc.relation.ispartofconferencename49th International Congress and Exposition on Noise Control Engineering (INTERNOISE 2020)
dc.relation.ispartofconferencetitleProceedings of 2020 International Congress on Noise Control Engineering, INTER-NOISE 2020
dc.relation.ispartofdatefrom2020-08-23
dc.relation.ispartofdateto2020-08-26
dc.relation.ispartoflocationSeoul, Korea
dc.relation.ispartofpagefrom2104
dc.relation.ispartofpageto2110
dc.subject.fieldofresearchCivil Engineering
dc.subject.fieldofresearchcode0905
dc.titleOpportunistic method for road surface noise labelling: Data cleaning
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationvan Hauwermeiren, W; Botteldooren, D; Filipan, K; de Coensel, B, Opportunistic method for road surface noise labelling: Data cleaning, Proceedings of 2020 International Congress on Noise Control Engineering, INTER-NOISE 2020, 2020, 2104-2110
dc.date.updated2021-04-20T03:28:49Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2020 The Authors. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
gro.hasfulltextFull Text
gro.griffith.authorDe Coensel, Bert


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