Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs

Detalhes bibliográficos
Autor(a) principal: Mishra, Sumit
Data de Publicação: 2018
Outros Autores: Bhattacharya, Devanjan, Gupta, Ankit
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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spelling 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
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
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