Autonomous vehicles opportunities for cities air quality

Detalhes bibliográficos
Autor(a) principal: Rafael, Sandra
Data de Publicação: 2020
Outros Autores: Correia, Luís P., Lopes, Diogo, Bandeira, Jorge, Coelho, Margarida C., Andrade, Mário, Borrego, Carlos, Miranda, Ana I.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/29761
Resumo: The impacts of autonomous vehicles (AV) on safety, energy and atmospheric emissions have been recognised to be important issues, but an air quality impact assessment is missing. In this study, by using a numerical modelling approach, the impact of AV on the air quality of a medium-sized Portuguese urban area was evaluated. For that, the air pollutants nitrogen oxides (NOx) and carbon dioxide (CO2) were considered and three scenarios were developed: i) a baseline scenario; ii) an autonomous scenario, assuming an AV market penetration rate of 30%; and iii) an electric autonomous scenario, taking into account that those 30% of AV are pure battery electric cars. A modelling system composed by a road traffic model, a road transport emission model and a Computational Fluid Dynamics air quality model was used. The autonomous scenario promoted an increase of both NOx (+1.8%) and CO2 (+0.7%) emissions, while the electric autonomous scenario resulted in emission reductions of about 30% for both air pollutants. In terms of air quality, distinct patterns were found: i) the autonomous scenario promoted both increases and decreases of NOx concentrations; and ii) the electric autonomous scenario promoted a widespread reduction of NOx concentrations (with an average value of -4%). Overall the results showed that AV have the potential to improve urban air quality, but, further research is needed to enrich the findings of this work.
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spelling Autonomous vehicles opportunities for cities air qualityAutonomous vehiclesAir qualityNumerical modellingRoad transport emissionsUrban areasThe impacts of autonomous vehicles (AV) on safety, energy and atmospheric emissions have been recognised to be important issues, but an air quality impact assessment is missing. In this study, by using a numerical modelling approach, the impact of AV on the air quality of a medium-sized Portuguese urban area was evaluated. For that, the air pollutants nitrogen oxides (NOx) and carbon dioxide (CO2) were considered and three scenarios were developed: i) a baseline scenario; ii) an autonomous scenario, assuming an AV market penetration rate of 30%; and iii) an electric autonomous scenario, taking into account that those 30% of AV are pure battery electric cars. A modelling system composed by a road traffic model, a road transport emission model and a Computational Fluid Dynamics air quality model was used. The autonomous scenario promoted an increase of both NOx (+1.8%) and CO2 (+0.7%) emissions, while the electric autonomous scenario resulted in emission reductions of about 30% for both air pollutants. In terms of air quality, distinct patterns were found: i) the autonomous scenario promoted both increases and decreases of NOx concentrations; and ii) the electric autonomous scenario promoted a widespread reduction of NOx concentrations (with an average value of -4%). Overall the results showed that AV have the potential to improve urban air quality, but, further research is needed to enrich the findings of this work.Elsevier2022-04-10T00:00:00Z2020-04-10T00:00:00Z2020-04-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/29761eng0048-969710.1016/j.scitotenv.2020.136546Rafael, SandraCorreia, Luís P.Lopes, DiogoBandeira, JorgeCoelho, Margarida C.Andrade, MárioBorrego, CarlosMiranda, Ana I.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:57:32Zoai:ria.ua.pt:10773/29761Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:01:59.704582Repositório 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 Autonomous vehicles opportunities for cities air quality
title Autonomous vehicles opportunities for cities air quality
spellingShingle Autonomous vehicles opportunities for cities air quality
Rafael, Sandra
Autonomous vehicles
Air quality
Numerical modelling
Road transport emissions
Urban areas
title_short Autonomous vehicles opportunities for cities air quality
title_full Autonomous vehicles opportunities for cities air quality
title_fullStr Autonomous vehicles opportunities for cities air quality
title_full_unstemmed Autonomous vehicles opportunities for cities air quality
title_sort Autonomous vehicles opportunities for cities air quality
author Rafael, Sandra
author_facet Rafael, Sandra
Correia, Luís P.
Lopes, Diogo
Bandeira, Jorge
Coelho, Margarida C.
Andrade, Mário
Borrego, Carlos
Miranda, Ana I.
author_role author
author2 Correia, Luís P.
Lopes, Diogo
Bandeira, Jorge
Coelho, Margarida C.
Andrade, Mário
Borrego, Carlos
Miranda, Ana I.
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Rafael, Sandra
Correia, Luís P.
Lopes, Diogo
Bandeira, Jorge
Coelho, Margarida C.
Andrade, Mário
Borrego, Carlos
Miranda, Ana I.
dc.subject.por.fl_str_mv Autonomous vehicles
Air quality
Numerical modelling
Road transport emissions
Urban areas
topic Autonomous vehicles
Air quality
Numerical modelling
Road transport emissions
Urban areas
description The impacts of autonomous vehicles (AV) on safety, energy and atmospheric emissions have been recognised to be important issues, but an air quality impact assessment is missing. In this study, by using a numerical modelling approach, the impact of AV on the air quality of a medium-sized Portuguese urban area was evaluated. For that, the air pollutants nitrogen oxides (NOx) and carbon dioxide (CO2) were considered and three scenarios were developed: i) a baseline scenario; ii) an autonomous scenario, assuming an AV market penetration rate of 30%; and iii) an electric autonomous scenario, taking into account that those 30% of AV are pure battery electric cars. A modelling system composed by a road traffic model, a road transport emission model and a Computational Fluid Dynamics air quality model was used. The autonomous scenario promoted an increase of both NOx (+1.8%) and CO2 (+0.7%) emissions, while the electric autonomous scenario resulted in emission reductions of about 30% for both air pollutants. In terms of air quality, distinct patterns were found: i) the autonomous scenario promoted both increases and decreases of NOx concentrations; and ii) the electric autonomous scenario promoted a widespread reduction of NOx concentrations (with an average value of -4%). Overall the results showed that AV have the potential to improve urban air quality, but, further research is needed to enrich the findings of this work.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-10T00:00:00Z
2020-04-10
2022-04-10T00:00:00Z
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10.1016/j.scitotenv.2020.136546
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