A study on vehicle Noise Emission Modelling: correlation with air pollutant emissions, impact of kinematic variables and critical hotspots

Detalhes bibliográficos
Autor(a) principal: Pascale, Antonio
Data de Publicação: 2021
Outros Autores: Fernandes, Paulo, Guarnaccia, Claudio, Coelho, Margarida C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/31595
Resumo: This work proposes a methodology suitable for analysing the sound power levels (Lw), and carbon dioxide (CO2) and nitrogen oxides (NOx) emissions along a travel, and consequentially assessing the related critical hotspots. The estimation of noise and pollutant emissions from six vehicles driven along three different routes (one National Road and two highways) was conducted, in combined way, through seven Noise Emissions Models (NEMs) and Vehicle Specific Power (VSP) methodology, respectively. The inputs required by the models (namely, vehicle speed and acceleration and road grade) were extrapolated from On-Board Diagnostic (OBD) system and Global Positioning System (GPS) data recorded during monitoring campaigns. The specificities of each model were analysed, and the role played by the kinematic variables in noise and exhaust emissions assessment was highlighted. Results show that all the tested NEMs estimated higher noise levels on the highways, while VSP predicted higher emissions on the National Road. This happens because speed is the main input variable in NEMs, while acceleration has an impact on noise estimation in the low-speed range (below 50 km/h). For pollutant emissions evaluation, acceleration plays a fundamental role also at high-speed range, where a transition from a cruising condition to an acceleration phase leads to significant variations in terms of VSP values. Lw values, estimated with NEMs that use acceleration correction terms, present positive moderate-to-high correlation with VSP ones. Moreover, the models that neglect acceleration in noise estimation fail to recognize traffic control treatments as critical hotspots.
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spelling A study on vehicle Noise Emission Modelling: correlation with air pollutant emissions, impact of kinematic variables and critical hotspotsNoise emission modelsVehicle specific powerKinematic parametersCritical hotspotsThis work proposes a methodology suitable for analysing the sound power levels (Lw), and carbon dioxide (CO2) and nitrogen oxides (NOx) emissions along a travel, and consequentially assessing the related critical hotspots. The estimation of noise and pollutant emissions from six vehicles driven along three different routes (one National Road and two highways) was conducted, in combined way, through seven Noise Emissions Models (NEMs) and Vehicle Specific Power (VSP) methodology, respectively. The inputs required by the models (namely, vehicle speed and acceleration and road grade) were extrapolated from On-Board Diagnostic (OBD) system and Global Positioning System (GPS) data recorded during monitoring campaigns. The specificities of each model were analysed, and the role played by the kinematic variables in noise and exhaust emissions assessment was highlighted. Results show that all the tested NEMs estimated higher noise levels on the highways, while VSP predicted higher emissions on the National Road. This happens because speed is the main input variable in NEMs, while acceleration has an impact on noise estimation in the low-speed range (below 50 km/h). For pollutant emissions evaluation, acceleration plays a fundamental role also at high-speed range, where a transition from a cruising condition to an acceleration phase leads to significant variations in terms of VSP values. Lw values, estimated with NEMs that use acceleration correction terms, present positive moderate-to-high correlation with VSP ones. Moreover, the models that neglect acceleration in noise estimation fail to recognize traffic control treatments as critical hotspots.Elsevier2021-07-16T15:00:46Z2021-09-15T00:00:00Z2021-09-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/31595eng0048-969710.1016/j.scitotenv.2021.147647Pascale, AntonioFernandes, PauloGuarnaccia, ClaudioCoelho, Margarida C.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:00:56Zoai:ria.ua.pt:10773/31595Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:03:24.683152Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A study on vehicle Noise Emission Modelling: correlation with air pollutant emissions, impact of kinematic variables and critical hotspots
title A study on vehicle Noise Emission Modelling: correlation with air pollutant emissions, impact of kinematic variables and critical hotspots
spellingShingle A study on vehicle Noise Emission Modelling: correlation with air pollutant emissions, impact of kinematic variables and critical hotspots
Pascale, Antonio
Noise emission models
Vehicle specific power
Kinematic parameters
Critical hotspots
title_short A study on vehicle Noise Emission Modelling: correlation with air pollutant emissions, impact of kinematic variables and critical hotspots
title_full A study on vehicle Noise Emission Modelling: correlation with air pollutant emissions, impact of kinematic variables and critical hotspots
title_fullStr A study on vehicle Noise Emission Modelling: correlation with air pollutant emissions, impact of kinematic variables and critical hotspots
title_full_unstemmed A study on vehicle Noise Emission Modelling: correlation with air pollutant emissions, impact of kinematic variables and critical hotspots
title_sort A study on vehicle Noise Emission Modelling: correlation with air pollutant emissions, impact of kinematic variables and critical hotspots
author Pascale, Antonio
author_facet Pascale, Antonio
Fernandes, Paulo
Guarnaccia, Claudio
Coelho, Margarida C.
author_role author
author2 Fernandes, Paulo
Guarnaccia, Claudio
Coelho, Margarida C.
author2_role author
author
author
dc.contributor.author.fl_str_mv Pascale, Antonio
Fernandes, Paulo
Guarnaccia, Claudio
Coelho, Margarida C.
dc.subject.por.fl_str_mv Noise emission models
Vehicle specific power
Kinematic parameters
Critical hotspots
topic Noise emission models
Vehicle specific power
Kinematic parameters
Critical hotspots
description This work proposes a methodology suitable for analysing the sound power levels (Lw), and carbon dioxide (CO2) and nitrogen oxides (NOx) emissions along a travel, and consequentially assessing the related critical hotspots. The estimation of noise and pollutant emissions from six vehicles driven along three different routes (one National Road and two highways) was conducted, in combined way, through seven Noise Emissions Models (NEMs) and Vehicle Specific Power (VSP) methodology, respectively. The inputs required by the models (namely, vehicle speed and acceleration and road grade) were extrapolated from On-Board Diagnostic (OBD) system and Global Positioning System (GPS) data recorded during monitoring campaigns. The specificities of each model were analysed, and the role played by the kinematic variables in noise and exhaust emissions assessment was highlighted. Results show that all the tested NEMs estimated higher noise levels on the highways, while VSP predicted higher emissions on the National Road. This happens because speed is the main input variable in NEMs, while acceleration has an impact on noise estimation in the low-speed range (below 50 km/h). For pollutant emissions evaluation, acceleration plays a fundamental role also at high-speed range, where a transition from a cruising condition to an acceleration phase leads to significant variations in terms of VSP values. Lw values, estimated with NEMs that use acceleration correction terms, present positive moderate-to-high correlation with VSP ones. Moreover, the models that neglect acceleration in noise estimation fail to recognize traffic control treatments as critical hotspots.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-16T15:00:46Z
2021-09-15T00:00:00Z
2021-09-15
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/31595
url http://hdl.handle.net/10773/31595
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0048-9697
10.1016/j.scitotenv.2021.147647
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 Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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