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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/98782
Ver los metadatos del registro completo
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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 Técnicas2025-09-03T09:55:56Zoai: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:34982025-09-03 09:55:56.533CONICET 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/ |
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openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.13397 |