Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay

Autores
Péres, Matias; Ruiz, Germán; Nesmachnow, Sergio; Olivera, Ana Carolina
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Traffic congestion and pollution are important problems in modern cities. As improving traffic flow via infrastructure modifications is expensive and intrusive, approaches using simulations emerge as economic alternatives to test different policies, with less negative impact on cities. This article proposes a specific methodology combining simulation and multiobjective evolutionary methods to simultaneously optimize traffic flow and vehicular emissions via traffic lights planning in urban areas. The experimental evaluation is performed over three real areas in Montevideo (Uruguay). Significant improvements on travel times and pollution are reported over the current configuration of traffic lights cycles and also over other traffic regulation techniques. Moreover, the multiobjective approach provides policy-makers with a set of alternatives to choose from, allowing the evaluation of several scenarios and the dynamic modification of traffic light cycles.
Fil: Péres, Matias. Universidad de la República; Uruguay
Fil: Ruiz, Germán. Universidad de la República; Uruguay
Fil: Nesmachnow, Sergio. Universidad de la República; Uruguay
Fil: Olivera, Ana Carolina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro de Investigaciones y Transferencia Golfo San Jorge. Centro de Investigaciones y Transferencia Golfo San Jorge: Sede Caleta Olivia - Santa Cruz | Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia Golfo San Jorge. Centro de Investigaciones y Transferencia Golfo San Jorge: Sede Caleta Olivia - Santa Cruz | Universidad Nacional de la Patagonia "san Juan Bosco". Centro de Investigaciones y Transferencia Golfo San Jorge. Centro de Investigaciones y Transferencia Golfo San Jorge: Sede Caleta Olivia - Santa Cruz; Argentina
Materia
MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS
POLLUTION
SIMULATION
TRAFFIC FLOW
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/98782
Acceder
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spelling Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, UruguayPéres, MatiasRuiz, GermánNesmachnow, SergioOlivera, Ana CarolinaMULTIOBJECTIVE EVOLUTIONARY ALGORITHMSPOLLUTIONSIMULATIONTRAFFIC FLOWhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Traffic congestion and pollution are important problems in modern cities. As improving traffic flow via infrastructure modifications is expensive and intrusive, approaches using simulations emerge as economic alternatives to test different policies, with less negative impact on cities. This article proposes a specific methodology combining simulation and multiobjective evolutionary methods to simultaneously optimize traffic flow and vehicular emissions via traffic lights planning in urban areas. The experimental evaluation is performed over three real areas in Montevideo (Uruguay). Significant improvements on travel times and pollution are reported over the current configuration of traffic lights cycles and also over other traffic regulation techniques. Moreover, the multiobjective approach provides policy-makers with a set of alternatives to choose from, allowing the evaluation of several scenarios and the dynamic modification of traffic light cycles.Fil: Péres, Matias. Universidad de la República; UruguayFil: Ruiz, Germán. Universidad de la República; UruguayFil: Nesmachnow, Sergio. Universidad de la República; UruguayFil: Olivera, Ana Carolina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro de Investigaciones y Transferencia Golfo San Jorge. Centro de Investigaciones y Transferencia Golfo San Jorge: Sede Caleta Olivia - Santa Cruz | Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia Golfo San Jorge. Centro de Investigaciones y Transferencia Golfo San Jorge: Sede Caleta Olivia - Santa Cruz | Universidad Nacional de la Patagonia "san Juan Bosco". Centro de Investigaciones y Transferencia Golfo San Jorge. Centro de Investigaciones y Transferencia Golfo San Jorge: Sede Caleta Olivia - Santa Cruz; ArgentinaElsevier Science2018-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/98782Péres, Matias; Ruiz, Germán; Nesmachnow, Sergio; Olivera, Ana Carolina; Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay; Elsevier Science; Applied Soft Computing; 70; 9-2018; 472-4851568-4946CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.asoc.2018.05.044info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1568494618303193info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:59:19Zoai:ri.conicet.gov.ar:11336/98782instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:59:20.045CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay
title Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay
spellingShingle Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay
Péres, Matias
MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS
POLLUTION
SIMULATION
TRAFFIC FLOW
title_short Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay
title_full Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay
title_fullStr Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay
title_full_unstemmed Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay
title_sort Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay
dc.creator.none.fl_str_mv Péres, Matias
Ruiz, Germán
Nesmachnow, Sergio
Olivera, Ana Carolina
author Péres, Matias
author_facet Péres, Matias
Ruiz, Germán
Nesmachnow, Sergio
Olivera, Ana Carolina
author_role author
author2 Ruiz, Germán
Nesmachnow, Sergio
Olivera, Ana Carolina
author2_role author
author
author
dc.subject.none.fl_str_mv MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS
POLLUTION
SIMULATION
TRAFFIC FLOW
topic MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS
POLLUTION
SIMULATION
TRAFFIC FLOW
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Traffic congestion and pollution are important problems in modern cities. As improving traffic flow via infrastructure modifications is expensive and intrusive, approaches using simulations emerge as economic alternatives to test different policies, with less negative impact on cities. This article proposes a specific methodology combining simulation and multiobjective evolutionary methods to simultaneously optimize traffic flow and vehicular emissions via traffic lights planning in urban areas. The experimental evaluation is performed over three real areas in Montevideo (Uruguay). Significant improvements on travel times and pollution are reported over the current configuration of traffic lights cycles and also over other traffic regulation techniques. Moreover, the multiobjective approach provides policy-makers with a set of alternatives to choose from, allowing the evaluation of several scenarios and the dynamic modification of traffic light cycles.
Fil: Péres, Matias. Universidad de la República; Uruguay
Fil: Ruiz, Germán. Universidad de la República; Uruguay
Fil: Nesmachnow, Sergio. Universidad de la República; Uruguay
Fil: Olivera, Ana Carolina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro de Investigaciones y Transferencia Golfo San Jorge. Centro de Investigaciones y Transferencia Golfo San Jorge: Sede Caleta Olivia - Santa Cruz | Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia Golfo San Jorge. Centro de Investigaciones y Transferencia Golfo San Jorge: Sede Caleta Olivia - Santa Cruz | Universidad Nacional de la Patagonia "san Juan Bosco". Centro de Investigaciones y Transferencia Golfo San Jorge. Centro de Investigaciones y Transferencia Golfo San Jorge: Sede Caleta Olivia - Santa Cruz; Argentina
description Traffic congestion and pollution are important problems in modern cities. As improving traffic flow via infrastructure modifications is expensive and intrusive, approaches using simulations emerge as economic alternatives to test different policies, with less negative impact on cities. This article proposes a specific methodology combining simulation and multiobjective evolutionary methods to simultaneously optimize traffic flow and vehicular emissions via traffic lights planning in urban areas. The experimental evaluation is performed over three real areas in Montevideo (Uruguay). Significant improvements on travel times and pollution are reported over the current configuration of traffic lights cycles and also over other traffic regulation techniques. Moreover, the multiobjective approach provides policy-makers with a set of alternatives to choose from, allowing the evaluation of several scenarios and the dynamic modification of traffic light cycles.
publishDate 2018
dc.date.none.fl_str_mv 2018-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/98782
Péres, Matias; Ruiz, Germán; Nesmachnow, Sergio; Olivera, Ana Carolina; Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay; Elsevier Science; Applied Soft Computing; 70; 9-2018; 472-485
1568-4946
CONICET Digital
CONICET
url http://hdl.handle.net/11336/98782
identifier_str_mv Péres, Matias; Ruiz, Germán; Nesmachnow, Sergio; Olivera, Ana Carolina; Multiobjective evolutionary optimization of traffic flow and pollution in Montevideo, Uruguay; Elsevier Science; Applied Soft Computing; 70; 9-2018; 472-485
1568-4946
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.asoc.2018.05.044
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1568494618303193
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.069144

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