Correlation of tyre/road noise measurements via machine learning algorithms

Bernhard Baumgartner, Andreas Fuchs, Manfred Haider (Speaker)

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review


Tyre/road interaction is the main cause for noise emission
when considering road vehicles travelling faster than
approx. 60km/h. A multitude of aspects play a major
role regarding the overall observed sound pressure
level (SPL), i.e. speed, vehicle type, driving style and
pavement type/condition. The latter, however, facilitates
the possibility of independent tuning of acoustic
properties, e.g. via diamond grinding of concrete pavements
or open-graded asphalts. Investigations regarding
possible emission reductions are often performed using
trailers, wherein installed microphones record the rolling
noise close to the tyre/road contact. Another option is
the analysis of isolated, statistical pass-bys of cars and
trucks. This paper investigates the relationships between
different trailer-based measurement techniques according
to RVS 11.06.64 (RVS-method) and to ISO 11819-2
(CPX-method), as well as between the CPX-method and
the Pass-by-measurements following ISO 11819-2 (SPBmethod)
[1–3]. Comparisons and correlations of pavement
dependent overall SPL and analyses of respective
third-octave bands will be presented. This includes the
use of unsupervised machine learning algorithms allowing
the determination of relevant frequency bands of either
Original languageEnglish
Title of host publicationProceedings of the Forum Acusticum 2023
Place of PublicationTorino
Number of pages6
ISBN (Electronic)978-88-88942-67-4
Publication statusPublished - 15 Sept 2023
EventForum Acusticum 2023 - Turin, Italy
Duration: 11 Sept 202315 Sept 2023


ConferenceForum Acusticum 2023

Research Field

  • Reliable and Silent Transport Infrastructure


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