Publicação
Unlocking Traffic Control
| Resumo: | This paper introduces the use of Visible Light Communication (VLC) to enhance traffic signal efficiency and vehicle trajectory management at urban intersections. By integrating VLC localization with learning-based traffic signal control, a multi-intersection traffic system is proposed. VLC enables communication between connected vehicles and infrastructure through mobile optical receivers. The primary objectives are to reduce waiting times and improve overall traffic safety by accommodating diverse traffic movements during multiple signal phases. Cooperative mechanisms and queue/response interactions balance traffic flow between intersections, enhancing road network performance. A reinforcement learning scheme optimally schedules traffic signals, with agents at each intersection using VLC-enabled vehicle communication to improve traffic flow and overall system optimization. Evaluated using the SUMO urban mobility simulator, the system demonstrates reduced waiting and travel times. The decentralized and scalable nature of this approach highlights its potential applicability in real-world traffic scenarios. |
|---|---|
| Autores principais: | Vieira, Manuel Augusto |
| Outros Autores: | Vieira, Manuela; Galvão, Gonçalo; Louro, Paula; Véstias, Mário |
| Assunto: | General Physics and Astronomy SDG 3 - Good Health and Well-being SDG 11 - Sustainable Cities and Communities |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1879446224806871040 |
|---|---|
| author | Vieira, Manuel Augusto |
| author2 | Vieira, Manuela Galvão, Gonçalo Louro, Paula Véstias, Mário |
| author2_role | author author author author |
| author_facet | Vieira, Manuel Augusto Vieira, Manuela Galvão, Gonçalo Louro, Paula Véstias, Mário |
| author_role | author |
| contributor_name_str_mv | CTS - Centro de Tecnologia e Sistemas UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias EDP Sciences RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Vieira, Manuel Augusto\"},{\"Person.name\":\"Vieira, Manuela\"},{\"Person.name\":\"Galvão, Gonçalo\"},{\"Person.name\":\"Louro, Paula\"},{\"Person.name\":\"Véstias, Mário\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | CTS - Centro de Tecnologia e Sistemas UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias EDP Sciences RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Vieira, Manuel Augusto Vieira, Manuela Galvão, Gonçalo Louro, Paula Véstias, Mário |
| datacite.date.Accepted.fl_str_mv | 2024-10-15T00:00:00Z |
| datacite.date.available.fl_str_mv | 2026-01-14T14:27:07Z |
| datacite.date.embargoed.fl_str_mv | 2026-01-14T14:27:07Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | General Physics and Astronomy SDG 3 - Good Health and Well-being SDG 11 - Sustainable Cities and Communities |
| datacite.titles.title.fl_str_mv | Unlocking Traffic Control Exploring Intersection Dynamics with Visible Light Communication |
| dc.contributor.none.fl_str_mv | CTS - Centro de Tecnologia e Sistemas UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias EDP Sciences RUN |
| dc.creator.none.fl_str_mv | Vieira, Manuel Augusto Vieira, Manuela Galvão, Gonçalo Louro, Paula Véstias, Mário |
| dc.date.Accepted.fl_str_mv | 2024-10-15T00:00:00Z |
| dc.date.available.fl_str_mv | 2026-01-14T14:27:07Z |
| dc.date.embargoed.fl_str_mv | 2026-01-14T14:27:07Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/198900 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | General Physics and Astronomy SDG 3 - Good Health and Well-being SDG 11 - Sustainable Cities and Communities |
| dc.title.fl_str_mv | Unlocking Traffic Control Exploring Intersection Dynamics with Visible Light Communication |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | This paper introduces the use of Visible Light Communication (VLC) to enhance traffic signal efficiency and vehicle trajectory management at urban intersections. By integrating VLC localization with learning-based traffic signal control, a multi-intersection traffic system is proposed. VLC enables communication between connected vehicles and infrastructure through mobile optical receivers. The primary objectives are to reduce waiting times and improve overall traffic safety by accommodating diverse traffic movements during multiple signal phases. Cooperative mechanisms and queue/response interactions balance traffic flow between intersections, enhancing road network performance. A reinforcement learning scheme optimally schedules traffic signals, with agents at each intersection using VLC-enabled vehicle communication to improve traffic flow and overall system optimization. Evaluated using the SUMO urban mobility simulator, the system demonstrates reduced waiting and travel times. The decentralized and scalable nature of this approach highlights its potential applicability in real-world traffic scenarios. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/fe17f452-a06e-45c0-b81a-f6a23cd081ef/download |
| id | run_9fcef2a8f80d40e92bf3f6a00fc4904d |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/198900 |
| inst_facet_str | urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/198900 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Vieira, Manuel Augusto Vieira, Manuela Galvão, Gonçalo Louro, Paula Véstias, Mário |
| publishDate | 2024 |
| repo_facet_str | urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL |
| reponame_str | Repositório Institucional da UNL |
| repository_id_str | urn:repositoryAcronym:run |
| service_str_mv | urn:repositoryAcronym:run |
| spelling | engenThis paper introduces the use of Visible Light Communication (VLC) to enhance traffic signal efficiency and vehicle trajectory management at urban intersections. By integrating VLC localization with learning-based traffic signal control, a multi-intersection traffic system is proposed. VLC enables communication between connected vehicles and infrastructure through mobile optical receivers. The primary objectives are to reduce waiting times and improve overall traffic safety by accommodating diverse traffic movements during multiple signal phases. Cooperative mechanisms and queue/response interactions balance traffic flow between intersections, enhancing road network performance. A reinforcement learning scheme optimally schedules traffic signals, with agents at each intersection using VLC-enabled vehicle communication to improve traffic flow and overall system optimization. Evaluated using the SUMO urban mobility simulator, the system demonstrates reduced waiting and travel times. The decentralized and scalable nature of this approach highlights its potential applicability in real-world traffic scenarios.application/pdfenUnlocking Traffic ControlSubtitleenExploring Intersection Dynamics with Visible Light CommunicationVieira, Manuel AugustoVieira, ManuelaGalvão, GonçaloLouro, PaulaVéstias, MárioCTS - Centro de Tecnologia e SistemasUNINOVA-Instituto de Desenvolvimento de Novas TecnologiasEDP SciencesHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptISSNIsPartOf2101-6275URNIsPartOfPURE: 108261109URNIsPartOfPURE UUID: 9b68d12f-eac3-42ea-95c7-0385dd0ffa94URNIsPartOfScopus: 85212229723DOIIsPartOf10.1051/epjconf/2024305000292026-01-14T14:27:07Z2024-10-152024-10-15T00:00:00ZHandlehttp://hdl.handle.net/10362/198900http://purl.org/coar/access_right/c_abf2open accessGeneral Physics and AstronomySDG 3 - Good Health and Well-beingSDG 11 - Sustainable Cities and Communities1038733 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/fe17f452-a06e-45c0-b81a-f6a23cd081ef/download |
| spellingShingle | Unlocking Traffic Control Vieira, Manuel Augusto General Physics and Astronomy SDG 3 - Good Health and Well-being SDG 11 - Sustainable Cities and Communities |
| status | SINGLETON |
| subject.fl_str_mv | General Physics and Astronomy SDG 3 - Good Health and Well-being SDG 11 - Sustainable Cities and Communities |
| title | Unlocking Traffic Control |
| title_full | Unlocking Traffic Control |
| title_fullStr | Unlocking Traffic Control |
| title_full_unstemmed | Unlocking Traffic Control |
| title_short | Unlocking Traffic Control |
| title_sort | Unlocking Traffic Control |
| topic | General Physics and Astronomy SDG 3 - Good Health and Well-being SDG 11 - Sustainable Cities and Communities |
| topic_facet | General Physics and Astronomy SDG 3 - Good Health and Well-being SDG 11 - Sustainable Cities and Communities |
| url | http://hdl.handle.net/10362/198900 |
| visible | 1 |
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