Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor level

Detalhes bibliográficos
Autor(a) principal: Fernandes, Paulo
Data de Publicação: 2017
Outros Autores: Coelho, Margarida, Rouphail, Nagui M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/22102
Resumo: Traffic lights or roundabouts along corridors are usually installed to address location-specific operational needs. An understanding of the impacts on traffic regarding to highly-congested closely-spaced intersections has not been fully addressed. Accordingly, consideration should be given to how these specific segments affect corridor performance as a whole. One mixed roundabout/traffic light/stop-controlled junctions corridor was evaluated with the microscopic traffic model (VISSIM) and emissions methodology (Vehicle Specific Power – VSP). The analysis was focused on two major intersections of the corridor, a roundabout and a traffic light spaced lower than 170 m apart under different traffic demand levels. The traffic data and corridor geometry were coded into VISSIM and compared with an alternative scenario where the traffic light was replaced by a single-lane roundabout. This research also tested a method to improve corridor performance and emissions by examining the integrated effect of the spacing between these intersections on traffic delay and vehicular emissions (carbon dioxide, monoxide carbon, nitrogen oxides, and hydrocarbons). The Fast Non-Dominated Sorting Genetic Algorithm (NSGA-II) was used to find the optimal spacing for these intersections. The analysis showed that the roundabout could achieve lower queue length (∼64%) and emissions (16–27%, depending on the pollutant) than the traffic light. The results also suggested that 200 m of spacing using the best traffic control would provide a moderate advantage in traffic operations and emissions as compared with the existing spacing.
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spelling Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor levelIntersectionsMulti-objective optimizationMicro-scale modelingSpacingTraffic lights or roundabouts along corridors are usually installed to address location-specific operational needs. An understanding of the impacts on traffic regarding to highly-congested closely-spaced intersections has not been fully addressed. Accordingly, consideration should be given to how these specific segments affect corridor performance as a whole. One mixed roundabout/traffic light/stop-controlled junctions corridor was evaluated with the microscopic traffic model (VISSIM) and emissions methodology (Vehicle Specific Power – VSP). The analysis was focused on two major intersections of the corridor, a roundabout and a traffic light spaced lower than 170 m apart under different traffic demand levels. The traffic data and corridor geometry were coded into VISSIM and compared with an alternative scenario where the traffic light was replaced by a single-lane roundabout. This research also tested a method to improve corridor performance and emissions by examining the integrated effect of the spacing between these intersections on traffic delay and vehicular emissions (carbon dioxide, monoxide carbon, nitrogen oxides, and hydrocarbons). The Fast Non-Dominated Sorting Genetic Algorithm (NSGA-II) was used to find the optimal spacing for these intersections. The analysis showed that the roundabout could achieve lower queue length (∼64%) and emissions (16–27%, depending on the pollutant) than the traffic light. The results also suggested that 200 m of spacing using the best traffic control would provide a moderate advantage in traffic operations and emissions as compared with the existing spacing.Elsevier2018-02-08T11:40:21Z2017-01-01T00:00:00Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/22102eng1361-920910.1016/j.trd.2017.05.016Fernandes, PauloCoelho, MargaridaRouphail, Nagui M.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:RCAAP2024-02-22T11:43:23Zoai:ria.ua.pt:10773/22102Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:56:21.601219Repositório 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 Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor level
title Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor level
spellingShingle Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor level
Fernandes, Paulo
Intersections
Multi-objective optimization
Micro-scale modeling
Spacing
title_short Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor level
title_full Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor level
title_fullStr Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor level
title_full_unstemmed Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor level
title_sort Assessing the impact of closely-spaced intersections on traffic operations and pollutant emissions on a corridor level
author Fernandes, Paulo
author_facet Fernandes, Paulo
Coelho, Margarida
Rouphail, Nagui M.
author_role author
author2 Coelho, Margarida
Rouphail, Nagui M.
author2_role author
author
dc.contributor.author.fl_str_mv Fernandes, Paulo
Coelho, Margarida
Rouphail, Nagui M.
dc.subject.por.fl_str_mv Intersections
Multi-objective optimization
Micro-scale modeling
Spacing
topic Intersections
Multi-objective optimization
Micro-scale modeling
Spacing
description Traffic lights or roundabouts along corridors are usually installed to address location-specific operational needs. An understanding of the impacts on traffic regarding to highly-congested closely-spaced intersections has not been fully addressed. Accordingly, consideration should be given to how these specific segments affect corridor performance as a whole. One mixed roundabout/traffic light/stop-controlled junctions corridor was evaluated with the microscopic traffic model (VISSIM) and emissions methodology (Vehicle Specific Power – VSP). The analysis was focused on two major intersections of the corridor, a roundabout and a traffic light spaced lower than 170 m apart under different traffic demand levels. The traffic data and corridor geometry were coded into VISSIM and compared with an alternative scenario where the traffic light was replaced by a single-lane roundabout. This research also tested a method to improve corridor performance and emissions by examining the integrated effect of the spacing between these intersections on traffic delay and vehicular emissions (carbon dioxide, monoxide carbon, nitrogen oxides, and hydrocarbons). The Fast Non-Dominated Sorting Genetic Algorithm (NSGA-II) was used to find the optimal spacing for these intersections. The analysis showed that the roundabout could achieve lower queue length (∼64%) and emissions (16–27%, depending on the pollutant) than the traffic light. The results also suggested that 200 m of spacing using the best traffic control would provide a moderate advantage in traffic operations and emissions as compared with the existing spacing.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01T00:00:00Z
2017
2018-02-08T11:40:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/22102
url http://hdl.handle.net/10773/22102
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1361-9209
10.1016/j.trd.2017.05.016
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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