Applying the smart city philosophy in Brazil for improving urban traffic condition by agent-based simulation
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/358 |
Resumo: | Urban mobility improvement as part of smart city philosophy is an extreme importance issue in large urban centers, mainly for its influence over economic and social development. The main objective of this work is to develop a mobility study of automotive vehicles in Goiás Avenue, the main avenue of São Caetano do Sul, Brazilian city with the highest Human Development Index (HDI). Three alternative scenarios for traffic improvement were studied using an agent-based simulation model: Speed Reduction, Green Wave Implementation and a mixed scenario that combines these two approaches. The main results evaluated were average vehicle crossing time, average time spent in queues and total number of vehicles that leave the system during rush hours. It was concluded that, among the proposed scenarios, a mixed one should be implemented as it has favorable results in all of the studied performance indicators and maximizes the benefits generated by the other two scenarios. It is expected that the results of this study will serve to encourage further research in this area and give continuity to the idea of a digital city. |
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Brazilian Journal of Operations & Production Management (Online) |
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Applying the smart city philosophy in Brazil for improving urban traffic condition by agent-based simulationAgent-Based SimulationVehicular TrafficUrban MobilitySmart CityUrban mobility improvement as part of smart city philosophy is an extreme importance issue in large urban centers, mainly for its influence over economic and social development. The main objective of this work is to develop a mobility study of automotive vehicles in Goiás Avenue, the main avenue of São Caetano do Sul, Brazilian city with the highest Human Development Index (HDI). Three alternative scenarios for traffic improvement were studied using an agent-based simulation model: Speed Reduction, Green Wave Implementation and a mixed scenario that combines these two approaches. The main results evaluated were average vehicle crossing time, average time spent in queues and total number of vehicles that leave the system during rush hours. It was concluded that, among the proposed scenarios, a mixed one should be implemented as it has favorable results in all of the studied performance indicators and maximizes the benefits generated by the other two scenarios. It is expected that the results of this study will serve to encourage further research in this area and give continuity to the idea of a digital city.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2017-09-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articletext/htmlapplication/pdfhttps://bjopm.org.br/bjopm/article/view/35810.14488/BJOPM.2017.v14.n3.a11Brazilian Journal of Operations & Production Management; Vol. 14 No. 3 (2017): September, 2017; 381-3872237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/358/299https://bjopm.org.br/bjopm/article/view/358/315Copyright (c) 2017 Brazilian Journal of Operations & Production Managementinfo:eu-repo/semantics/openAccessPereira, Wilson InacioChwif, Leonardo2021-07-13T14:14:49Zoai:ojs.bjopm.org.br:article/358Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:13.938714Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Applying the smart city philosophy in Brazil for improving urban traffic condition by agent-based simulation |
title |
Applying the smart city philosophy in Brazil for improving urban traffic condition by agent-based simulation |
spellingShingle |
Applying the smart city philosophy in Brazil for improving urban traffic condition by agent-based simulation Pereira, Wilson Inacio Agent-Based Simulation Vehicular Traffic Urban Mobility Smart City |
title_short |
Applying the smart city philosophy in Brazil for improving urban traffic condition by agent-based simulation |
title_full |
Applying the smart city philosophy in Brazil for improving urban traffic condition by agent-based simulation |
title_fullStr |
Applying the smart city philosophy in Brazil for improving urban traffic condition by agent-based simulation |
title_full_unstemmed |
Applying the smart city philosophy in Brazil for improving urban traffic condition by agent-based simulation |
title_sort |
Applying the smart city philosophy in Brazil for improving urban traffic condition by agent-based simulation |
author |
Pereira, Wilson Inacio |
author_facet |
Pereira, Wilson Inacio Chwif, Leonardo |
author_role |
author |
author2 |
Chwif, Leonardo |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Pereira, Wilson Inacio Chwif, Leonardo |
dc.subject.por.fl_str_mv |
Agent-Based Simulation Vehicular Traffic Urban Mobility Smart City |
topic |
Agent-Based Simulation Vehicular Traffic Urban Mobility Smart City |
description |
Urban mobility improvement as part of smart city philosophy is an extreme importance issue in large urban centers, mainly for its influence over economic and social development. The main objective of this work is to develop a mobility study of automotive vehicles in Goiás Avenue, the main avenue of São Caetano do Sul, Brazilian city with the highest Human Development Index (HDI). Three alternative scenarios for traffic improvement were studied using an agent-based simulation model: Speed Reduction, Green Wave Implementation and a mixed scenario that combines these two approaches. The main results evaluated were average vehicle crossing time, average time spent in queues and total number of vehicles that leave the system during rush hours. It was concluded that, among the proposed scenarios, a mixed one should be implemented as it has favorable results in all of the studied performance indicators and maximizes the benefits generated by the other two scenarios. It is expected that the results of this study will serve to encourage further research in this area and give continuity to the idea of a digital city. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-06 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/358 10.14488/BJOPM.2017.v14.n3.a11 |
url |
https://bjopm.org.br/bjopm/article/view/358 |
identifier_str_mv |
10.14488/BJOPM.2017.v14.n3.a11 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/358/299 https://bjopm.org.br/bjopm/article/view/358/315 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Brazilian Journal of Operations & Production Management info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Brazilian Journal of Operations & Production Management |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 14 No. 3 (2017): September, 2017; 381-387 2237-8960 reponame:Brazilian Journal of Operations & Production Management (Online) instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051460542791680 |