Enhancing Urban Intersection Efficiency

Detalhes bibliográficos
Autor(a) principal: Vieira, Manuela
Data de Publicação: 2024
Outros Autores: Vieira, Manuel Augusto, Galvão, Gonçalo, Louro, Paula, Véstias, Mário, Vieira, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/172409
Resumo: Funding Information: This research received support from FCT\u2014Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia, through the Research Unit CTS\u2014Center of Technology and Systems, with references UIDB/00066/2020. Publisher Copyright: © 2024 by the authors.
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spelling Enhancing Urban Intersection EfficiencyUtilizing Visible Light Communication and Learning-Driven Control for Improved Traffic Signal Performancedensity of pedestriansintersection controlled by lightmodel based on reinforcement learningon–off keying (OOK) modulation methodqueue lengthsilicon carbide light detectorstraffic managementtransmitters using white LEDsAutomotive EngineeringElectrical and Electronic EngineeringSDG 3 - Good Health and Well-beingSDG 11 - Sustainable Cities and CommunitiesFunding Information: This research received support from FCT\u2014Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia, through the Research Unit CTS\u2014Center of Technology and Systems, with references UIDB/00066/2020. Publisher Copyright: © 2024 by the authors.This paper introduces an approach to enhance the efficiency of urban intersections by integrating Visible Light Communication (VLC) into a multi-intersection traffic control system. The main objectives include the reduction in waiting times for vehicles and pedestrians, the improvement of overall traffic safety, and the accommodation of diverse traffic movements during multiple signal phases. The proposed system utilizes VLC to facilitate communication among interconnected vehicles and infrastructure. This is achieved by utilizing streetlights, headlamps, and traffic signals for transmitting information. By integrating VLC localization services with learning-driven traffic signal control, the multi-intersection traffic management system is established. A reinforcement learning scheme, based on VLC queuing/request/response behaviors, is utilized to schedule traffic signals effectively. Agents placed at each intersection control traffic lights by incorporating information from VLC-ready cars, including their positions, destinations, and intended routes. The agents devise optimal strategies to improve traffic flow and engage in communication to optimize the collective traffic performance. An assessment of the multi-intersection scenario through the SUMO urban mobility simulator reveals considerable benefits. The system successfully reduces both waiting and travel times. The reinforcement learning approach effectively schedules traffic signals, and the results highlight the decentralized and scalable nature of the proposed method, especially in multi-intersection scenarios. The discussion emphasizes the possibility of applying reinforcement learning in everyday traffic scenarios, showcasing the potential for the dynamic identification of control actions and improved traffic management.UNINOVA-Instituto de Desenvolvimento de Novas TecnologiasCTS - Centro de Tecnologia e SistemasRUNVieira, ManuelaVieira, Manuel AugustoGalvão, GonçaloLouro, PaulaVéstias, MárioVieira, Pedro2024-09-25T22:27:03Z2024-04-042024-04-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article27application/pdfhttp://hdl.handle.net/10362/172409eng2624-8921PURE: 99832745https://doi.org/10.3390/vehicles6020031info: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:RCAAP2024-09-30T01:43:09Zoai:run.unl.pt:10362/172409Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-09-30T01:43:09Repositório 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 Enhancing Urban Intersection Efficiency
Utilizing Visible Light Communication and Learning-Driven Control for Improved Traffic Signal Performance
title Enhancing Urban Intersection Efficiency
spellingShingle Enhancing Urban Intersection Efficiency
Vieira, Manuela
density of pedestrians
intersection controlled by light
model based on reinforcement learning
on–off keying (OOK) modulation method
queue length
silicon carbide light detectors
traffic management
transmitters using white LEDs
Automotive Engineering
Electrical and Electronic Engineering
SDG 3 - Good Health and Well-being
SDG 11 - Sustainable Cities and Communities
title_short Enhancing Urban Intersection Efficiency
title_full Enhancing Urban Intersection Efficiency
title_fullStr Enhancing Urban Intersection Efficiency
title_full_unstemmed Enhancing Urban Intersection Efficiency
title_sort Enhancing Urban Intersection Efficiency
author Vieira, Manuela
author_facet Vieira, Manuela
Vieira, Manuel Augusto
Galvão, Gonçalo
Louro, Paula
Véstias, Mário
Vieira, Pedro
author_role author
author2 Vieira, Manuel Augusto
Galvão, Gonçalo
Louro, Paula
Véstias, Mário
Vieira, Pedro
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
CTS - Centro de Tecnologia e Sistemas
RUN
dc.contributor.author.fl_str_mv Vieira, Manuela
Vieira, Manuel Augusto
Galvão, Gonçalo
Louro, Paula
Véstias, Mário
Vieira, Pedro
dc.subject.por.fl_str_mv density of pedestrians
intersection controlled by light
model based on reinforcement learning
on–off keying (OOK) modulation method
queue length
silicon carbide light detectors
traffic management
transmitters using white LEDs
Automotive Engineering
Electrical and Electronic Engineering
SDG 3 - Good Health and Well-being
SDG 11 - Sustainable Cities and Communities
topic density of pedestrians
intersection controlled by light
model based on reinforcement learning
on–off keying (OOK) modulation method
queue length
silicon carbide light detectors
traffic management
transmitters using white LEDs
Automotive Engineering
Electrical and Electronic Engineering
SDG 3 - Good Health and Well-being
SDG 11 - Sustainable Cities and Communities
description Funding Information: This research received support from FCT\u2014Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia, through the Research Unit CTS\u2014Center of Technology and Systems, with references UIDB/00066/2020. Publisher Copyright: © 2024 by the authors.
publishDate 2024
dc.date.none.fl_str_mv 2024-09-25T22:27:03Z
2024-04-04
2024-04-04T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/172409
url http://hdl.handle.net/10362/172409
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2624-8921
PURE: 99832745
https://doi.org/10.3390/vehicles6020031
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 27
application/pdf
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
_version_ 1817548553157869568

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