Traffic light optimization of an intersection: a portuguese case study

Detalhes bibliográficos
Autor(a) principal: Silva, Gonçalo Oliveira
Data de Publicação: 2022
Outros Autores: Rocha, Ana Maria A. C., Witeck, Gabriela Rosa, Silva, António José Linhares, Durães, Dalila, Machado, José Manuel
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/85223
Resumo: Smart cities aim to rise strategies that reduce issues caused by the urban population growth and fast urbanization. Thus, traffic light optimization emerges as an important option for urban traffic management. The main goal of this study is to improve traffic light management at a specific intersection, in the City of Guimarães (Portugal), where high-intensity traffic and an active pedestrian area were observed, generating traffic queues. To achieve the goals, a simulation-based optimization strategy using the Particle Swarm Optimization combined with the Simulation of Urban Mobility software was used to minimize the average waiting time of the vehicles by determining the optimal value of the traffic light cycle. The computational results showed it is possible to decrease by 78.2% the average value of the waiting time. In conclusion, by better managing the traffic light cycle time, traffic flow without congestion or queues can be achieved.
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spelling Traffic light optimization of an intersection: a portuguese case studyParticle swarm optimizationSimulation of urban mobilityTraffic lightsScience & TechnologySmart cities aim to rise strategies that reduce issues caused by the urban population growth and fast urbanization. Thus, traffic light optimization emerges as an important option for urban traffic management. The main goal of this study is to improve traffic light management at a specific intersection, in the City of Guimarães (Portugal), where high-intensity traffic and an active pedestrian area were observed, generating traffic queues. To achieve the goals, a simulation-based optimization strategy using the Particle Swarm Optimization combined with the Simulation of Urban Mobility software was used to minimize the average waiting time of the vehicles by determining the optimal value of the traffic light cycle. The computational results showed it is possible to decrease by 78.2% the average value of the waiting time. In conclusion, by better managing the traffic light cycle time, traffic flow without congestion or queues can be achieved.This work has been supported by FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020 and the project “Integrated and Innovative Solutions for the well-being of people in complex urban centers” within the Project Scope NORTE-01-0145-FEDER-000086.Springer, ChamUniversidade do MinhoSilva, Gonçalo OliveiraRocha, Ana Maria A. C.Witeck, Gabriela RosaSilva, António José LinharesDurães, DalilaMachado, José Manuel20222022-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/85223engSilva, G.O., Rocha, A.M.A.C., Witeck, G.R., Silva, A., Durães, D., Machado, J. (2022). Traffic Light Optimization of an Intersection: A Portuguese Case Study. In: Pereira, A.I., Košir, A., Fernandes, F.P., Pacheco, M.F., Teixeira, J.P., Lopes, R.P. (eds) Optimization, Learning Algorithms and Applications. OL2A 2022. Communications in Computer and Information Science, vol 1754. Springer, Cham. https://doi.org/10.1007/978-3-031-23236-7_15978-3-031-23235-01865-092910.1007/978-3-031-23236-7_15978-3-031-23236-7https://link.springer.com/chapter/10.1007/978-3-031-23236-7_15info: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:RCAAP2024-05-11T05:28:23Zoai:repositorium.sdum.uminho.pt:1822/85223Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T05:28:23Repositório 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 Traffic light optimization of an intersection: a portuguese case study
title Traffic light optimization of an intersection: a portuguese case study
spellingShingle Traffic light optimization of an intersection: a portuguese case study
Silva, Gonçalo Oliveira
Particle swarm optimization
Simulation of urban mobility
Traffic lights
Science & Technology
title_short Traffic light optimization of an intersection: a portuguese case study
title_full Traffic light optimization of an intersection: a portuguese case study
title_fullStr Traffic light optimization of an intersection: a portuguese case study
title_full_unstemmed Traffic light optimization of an intersection: a portuguese case study
title_sort Traffic light optimization of an intersection: a portuguese case study
author Silva, Gonçalo Oliveira
author_facet Silva, Gonçalo Oliveira
Rocha, Ana Maria A. C.
Witeck, Gabriela Rosa
Silva, António José Linhares
Durães, Dalila
Machado, José Manuel
author_role author
author2 Rocha, Ana Maria A. C.
Witeck, Gabriela Rosa
Silva, António José Linhares
Durães, Dalila
Machado, José Manuel
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Silva, Gonçalo Oliveira
Rocha, Ana Maria A. C.
Witeck, Gabriela Rosa
Silva, António José Linhares
Durães, Dalila
Machado, José Manuel
dc.subject.por.fl_str_mv Particle swarm optimization
Simulation of urban mobility
Traffic lights
Science & Technology
topic Particle swarm optimization
Simulation of urban mobility
Traffic lights
Science & Technology
description Smart cities aim to rise strategies that reduce issues caused by the urban population growth and fast urbanization. Thus, traffic light optimization emerges as an important option for urban traffic management. The main goal of this study is to improve traffic light management at a specific intersection, in the City of Guimarães (Portugal), where high-intensity traffic and an active pedestrian area were observed, generating traffic queues. To achieve the goals, a simulation-based optimization strategy using the Particle Swarm Optimization combined with the Simulation of Urban Mobility software was used to minimize the average waiting time of the vehicles by determining the optimal value of the traffic light cycle. The computational results showed it is possible to decrease by 78.2% the average value of the waiting time. In conclusion, by better managing the traffic light cycle time, traffic flow without congestion or queues can be achieved.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/85223
url https://hdl.handle.net/1822/85223
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Silva, G.O., Rocha, A.M.A.C., Witeck, G.R., Silva, A., Durães, D., Machado, J. (2022). Traffic Light Optimization of an Intersection: A Portuguese Case Study. In: Pereira, A.I., Košir, A., Fernandes, F.P., Pacheco, M.F., Teixeira, J.P., Lopes, R.P. (eds) Optimization, Learning Algorithms and Applications. OL2A 2022. Communications in Computer and Information Science, vol 1754. Springer, Cham. https://doi.org/10.1007/978-3-031-23236-7_15
978-3-031-23235-0
1865-0929
10.1007/978-3-031-23236-7_15
978-3-031-23236-7
https://link.springer.com/chapter/10.1007/978-3-031-23236-7_15
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 Springer, Cham
publisher.none.fl_str_mv Springer, Cham
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 mluisa.alvim@gmail.com
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