A psychoacoustic based approach to pavement classification
Main Author: | |
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Publication Date: | 2015 |
Other Authors: | , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/1822/36570 |
Summary: | The road traffic noise is one of the major contributors to environmental noise, which can cause considerable impact on public health and quality of life of populations. However, road noise raises several questions because, if on one hand is associated with several health problems and welfare, on the other hand its lack affects the detection of the sound sources, and consequently it constitutes a risk to the safety of road users. Thus, it becomes essential to classify road pavements not only based on acoustic indicators but also based on psychoacoustic indicators. Therefore, this work aims to contribute to pavement classification from the point of view of psychoacoustics. An innovative approach leading to important methodological advantages was done by using the Close proximity Method (CPX) method to acquire tyre-road noise. This work presents the acoustic characterization of five different types of pavement by using three acoustic and psychoacoustic indicators (LAmax, LAeq and Loudness) as a function of speed. Each variable was related to the sound intensity and annoyance evaluation responses of twenty six individuals subjected to the acquired noise. As main results, loudness proved to be a more sensitive variable to vehicle speed and type of pavement than LAmax and LAeq and fits better with individual's responses. |
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A psychoacoustic based approach to pavement classificationClassificationLoudnessPavementPsychoacousticThe road traffic noise is one of the major contributors to environmental noise, which can cause considerable impact on public health and quality of life of populations. However, road noise raises several questions because, if on one hand is associated with several health problems and welfare, on the other hand its lack affects the detection of the sound sources, and consequently it constitutes a risk to the safety of road users. Thus, it becomes essential to classify road pavements not only based on acoustic indicators but also based on psychoacoustic indicators. Therefore, this work aims to contribute to pavement classification from the point of view of psychoacoustics. An innovative approach leading to important methodological advantages was done by using the Close proximity Method (CPX) method to acquire tyre-road noise. This work presents the acoustic characterization of five different types of pavement by using three acoustic and psychoacoustic indicators (LAmax, LAeq and Loudness) as a function of speed. Each variable was related to the sound intensity and annoyance evaluation responses of twenty six individuals subjected to the acquired noise. As main results, loudness proved to be a more sensitive variable to vehicle speed and type of pavement than LAmax and LAeq and fits better with individual's responses.This work has been supported by FCT — FundacAo para a Ciencia e Tecnologia: EXPL/MHC-PCN/0162/2013 and within the Project Scopes: UI 4047 — 2014: PEst-OE/ECl/UI4047/2014; PEst-OE/EEI/UI0319/2014.European Acoustic Association (EAA)Universidade do MinhoFreitas, Elisabete F.Cunha, Catarina Araújo Cupertino daLamas, JoãoMouta, SandraSantos, Jorge A.20152015-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/36570engFreitas E. F., Cunha C., Lamas J., Mouta S., Santos J. A. (2015). A psychoacoustic based approach to pavement classification, Euronoise, pp. 2107-2112, 2226-5147.2226-5147http://www.conforg.fr/euronoise2015/output_directory/data/articles/000237.pdfinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-10-12T01:17:42Zoai:repositorium.sdum.uminho.pt:1822/36570Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:12:04.539523Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
A psychoacoustic based approach to pavement classification |
title |
A psychoacoustic based approach to pavement classification |
spellingShingle |
A psychoacoustic based approach to pavement classification Freitas, Elisabete F. Classification Loudness Pavement Psychoacoustic |
title_short |
A psychoacoustic based approach to pavement classification |
title_full |
A psychoacoustic based approach to pavement classification |
title_fullStr |
A psychoacoustic based approach to pavement classification |
title_full_unstemmed |
A psychoacoustic based approach to pavement classification |
title_sort |
A psychoacoustic based approach to pavement classification |
author |
Freitas, Elisabete F. |
author_facet |
Freitas, Elisabete F. Cunha, Catarina Araújo Cupertino da Lamas, João Mouta, Sandra Santos, Jorge A. |
author_role |
author |
author2 |
Cunha, Catarina Araújo Cupertino da Lamas, João Mouta, Sandra Santos, Jorge A. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Freitas, Elisabete F. Cunha, Catarina Araújo Cupertino da Lamas, João Mouta, Sandra Santos, Jorge A. |
dc.subject.por.fl_str_mv |
Classification Loudness Pavement Psychoacoustic |
topic |
Classification Loudness Pavement Psychoacoustic |
description |
The road traffic noise is one of the major contributors to environmental noise, which can cause considerable impact on public health and quality of life of populations. However, road noise raises several questions because, if on one hand is associated with several health problems and welfare, on the other hand its lack affects the detection of the sound sources, and consequently it constitutes a risk to the safety of road users. Thus, it becomes essential to classify road pavements not only based on acoustic indicators but also based on psychoacoustic indicators. Therefore, this work aims to contribute to pavement classification from the point of view of psychoacoustics. An innovative approach leading to important methodological advantages was done by using the Close proximity Method (CPX) method to acquire tyre-road noise. This work presents the acoustic characterization of five different types of pavement by using three acoustic and psychoacoustic indicators (LAmax, LAeq and Loudness) as a function of speed. Each variable was related to the sound intensity and annoyance evaluation responses of twenty six individuals subjected to the acquired noise. As main results, loudness proved to be a more sensitive variable to vehicle speed and type of pavement than LAmax and LAeq and fits better with individual's responses. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/36570 |
url |
https://hdl.handle.net/1822/36570 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Freitas E. F., Cunha C., Lamas J., Mouta S., Santos J. A. (2015). A psychoacoustic based approach to pavement classification, Euronoise, pp. 2107-2112, 2226-5147. 2226-5147 http://www.conforg.fr/euronoise2015/output_directory/data/articles/000237.pdf |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
European Acoustic Association (EAA) |
publisher.none.fl_str_mv |
European Acoustic Association (EAA) |
dc.source.none.fl_str_mv |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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