Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.3390/data3040067 |
Resumo: | Mishra, S., Bhattacharya, D., & Gupta, A. (2018). Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs. Data, 3(4), [67]. DOI: 10.3390/data3040067 |
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Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIsdriver information systemreal-time traffic signalingroad traffic congestionGoogle Traffic APIagent-based traffic modelingSDG 9 - Industry, Innovation, and InfrastructureMishra, S., Bhattacharya, D., & Gupta, A. (2018). Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs. Data, 3(4), [67]. DOI: 10.3390/data3040067Traffic jams can be avoided by controlling traffic signals according to quickly building congestion with steep gradients on short temporal and small spatial scales. With the rising standards of computational technology, single-board computers, software packages, platforms, and APIs (Application Program Interfaces), it has become relatively easy for developers to create systems for controlling signals and informative systems. Hence, for enhancing the power of Intelligent Transport Systems in automotive telematics, in this study, we used crowdsourced traffic congestion data from Google to adjust traffic light cycle times with a system that is adaptable to congestion. One aim of the system proposed here is to inform drivers about the status of the upcoming traffic light on their route. Since crowdsourced data are used, the system does not entail the high infrastructure cost associated with sensing networks. A full system module-level analysis is presented for implementation. The system proposed is fail-safe against temporal communication failure. Along with a case study for examining congestion levels, generic information processing for the cycle time decision and status delivery system was tested and confirmed to be viable and quick for a restricted prototype model. The information required was delivered correctly over sustained trials, with an average time delay of 1.5 s and a maximum of 3 s.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNMishra, SumitBhattacharya, DevanjanGupta, Ankit2019-01-17T23:43:40Z2018-12-142018-12-14T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article19application/pdfhttps://doi.org/10.3390/data3040067eng2306-5729PURE: 11285737http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000454696600030https://doi.org/10.3390/data3040067info: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:RCAAP2024-03-11T04:27:53Zoai:run.unl.pt:10362/57815Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:33:07.389811Repositório 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 |
Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs |
title |
Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs |
spellingShingle |
Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs Mishra, Sumit driver information system real-time traffic signaling road traffic congestion Google Traffic API agent-based traffic modeling SDG 9 - Industry, Innovation, and Infrastructure |
title_short |
Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs |
title_full |
Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs |
title_fullStr |
Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs |
title_full_unstemmed |
Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs |
title_sort |
Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs |
author |
Mishra, Sumit |
author_facet |
Mishra, Sumit Bhattacharya, Devanjan Gupta, Ankit |
author_role |
author |
author2 |
Bhattacharya, Devanjan Gupta, Ankit |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
dc.contributor.author.fl_str_mv |
Mishra, Sumit Bhattacharya, Devanjan Gupta, Ankit |
dc.subject.por.fl_str_mv |
driver information system real-time traffic signaling road traffic congestion Google Traffic API agent-based traffic modeling SDG 9 - Industry, Innovation, and Infrastructure |
topic |
driver information system real-time traffic signaling road traffic congestion Google Traffic API agent-based traffic modeling SDG 9 - Industry, Innovation, and Infrastructure |
description |
Mishra, S., Bhattacharya, D., & Gupta, A. (2018). Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs. Data, 3(4), [67]. DOI: 10.3390/data3040067 |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-14 2018-12-14T00:00:00Z 2019-01-17T23:43:40Z |
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 |
https://doi.org/10.3390/data3040067 |
url |
https://doi.org/10.3390/data3040067 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2306-5729 PURE: 11285737 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000454696600030 https://doi.org/10.3390/data3040067 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
19 application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137953422770176 |