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Enhancing Urban Traffic Management with Visible Light Communication and Reinforcement Learning

2024-10-15Artigo científico Acesso aberto
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dc.contributor.authorGalvão, Gonçalo
dc.contributor.authorVieira, Manuel Augusto
dc.contributor.authorVieira, Manuela
dc.contributor.authorLouro, Paula
dc.contributor.authorVéstias, Mário
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.pblEDP Sciences
dc.date.accessioned2026-01-14T14:26:33Z
dc.date.available2026-01-14T14:26:33Z
dc.date.issued2024-10-15
dc.description© The Authors, published by EDP Sciences.
dc.description.abstractThis paper introduces Visible Light Communication (VLC) to enhance traffic signal efficiency and vehicle trajectory management at urban intersections. A multi-intersection traffic control system is proposed, integrating VLC localization services with learning-based traffic signal control. VLC facilitates communication between connected vehicles and infrastructure using headlights, streetlights, and traffic signals to transmit information. By leveraging vehicle-to-vehicle (V2V) and infrastructure-to-vehicle (I2V) interactions, joint transmission and data collection are achieved via mobile optical receivers. The system aims to reduce waiting times for pedestrians and vehicles while improving overall traffic safety. It is designed to be flexible and adaptive, accommodating diverse traffic movements during multiple signal phases. VLC cooperative mechanisms, transmission range, relative pose concepts, and queue/request/response interactions help balance traffic flow between intersections, enhancing the overall road network performance.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent955646
dc.identifier.doi10.1051/epjconf/202430500030
dc.identifier.issn2101-6275
dc.identifier.otherPURE: 108208299
dc.identifier.otherPURE UUID: aec01c65-7cc1-4fb9-92ea-0a76c9d9d9fe
dc.identifier.otherScopus: 85212211058
dc.identifier.urihttp://hdl.handle.net/10362/198897
dc.identifier.urlhttps://www.scopus.com/pages/publications/85212211058
dc.language.isoeng
dc.peerreviewedyes
dc.relationFunding Information: info:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F00066%2F2020/PT
dc.subjectGeneral Physics and Astronomy
dc.titleEnhancing Urban Traffic Management with Visible Light Communication and Reinforcement Learningen
dc.typejournal article
degois.publication.titleEPJ Web of Conferences
degois.publication.volume305
dspace.entity.typePublication
rcaap.rightsopenAccess

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