Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data

Detalhes bibliográficos
Autor(a) principal: Mishra, Sumit
Data de Publicação: 2023
Outros Autores: Singh, Vishal, Gupta, Ankit, Bhattacharya, Devanjan, Mudgal, Abhisek
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/134834
Resumo: Mishra, S., Singh, V., Gupta, A., Bhattacharya, D., & Mudgal, A. (2023). Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data. Transportation Letters, 15(4), 296-307. https://doi.org/10.1080/19427867.2022.2050493 ----The present work in the paper was not funded by any organization. One of the coauthor, Devanjan Bhattacharya has received funding from UKRI ESRC Impact Acceleration Grant (ES/T50189X/1), and European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie COFUND Grant Agreement No. 801215: TRAIN@Ed: ‘Transnational Research And Innovation Network At Edinburgh.’
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spelling Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source dataCrowdsourced dataGoogle Map APITraffic signal optimizationReal-time congestion managementAIMD based signallingTransportationSDG 11 - Sustainable Cities and CommunitiesSDG 9 - Industry, Innovation, and InfrastructureMishra, S., Singh, V., Gupta, A., Bhattacharya, D., & Mudgal, A. (2023). Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data. Transportation Letters, 15(4), 296-307. https://doi.org/10.1080/19427867.2022.2050493 ----The present work in the paper was not funded by any organization. One of the coauthor, Devanjan Bhattacharya has received funding from UKRI ESRC Impact Acceleration Grant (ES/T50189X/1), and European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie COFUND Grant Agreement No. 801215: TRAIN@Ed: ‘Transnational Research And Innovation Network At Edinburgh.’Advancement of mobile technologies has enabled economical collection, storage, processing, and sharing of traffic data. These data are made accessible to intended users through various application program interfaces (API) and can be used to recognize and mitigate congestion in real time. In this paper, quantitative (time of arrival) and qualitative (color-coded congestion levels) data were acquired from the Google traffic APIs. New parameters that reflect heterogeneous traffic conditions were defined and utilized for real-time control of traffic signals while maintaining the green-to-red time ratio. The proposed method utilizes a congestion-avoiding principle commonly used in computer networking. Adaptive congestion levels were observed on three different intersections of Delhi (India), in peak hours. It showed good variation, hence sensitive for the control algorithm to act efficiently. Also, simulation study establishes that proposed control algorithm decreases waiting time and congestion. The proposed method provides an economical alternative to expensive sensing and tracking technologies.Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNMishra, SumitSingh, VishalGupta, AnkitBhattacharya, DevanjanMudgal, Abhisek2023-05-09T00:31:54Z2023-04-212023-04-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfhttp://hdl.handle.net/10362/134834eng1942-7867PURE: 42432080https://doi.org/10.1080/19427867.2022.2050493info: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:RCAAP2024-03-11T05:13:21Zoai:run.unl.pt:10362/134834Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:15.180142Repositório 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 Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data
title Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data
spellingShingle Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data
Mishra, Sumit
Crowdsourced data
Google Map API
Traffic signal optimization
Real-time congestion management
AIMD based signalling
Transportation
SDG 11 - Sustainable Cities and Communities
SDG 9 - Industry, Innovation, and Infrastructure
title_short Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data
title_full Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data
title_fullStr Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data
title_full_unstemmed Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data
title_sort Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data
author Mishra, Sumit
author_facet Mishra, Sumit
Singh, Vishal
Gupta, Ankit
Bhattacharya, Devanjan
Mudgal, Abhisek
author_role author
author2 Singh, Vishal
Gupta, Ankit
Bhattacharya, Devanjan
Mudgal, Abhisek
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Mishra, Sumit
Singh, Vishal
Gupta, Ankit
Bhattacharya, Devanjan
Mudgal, Abhisek
dc.subject.por.fl_str_mv Crowdsourced data
Google Map API
Traffic signal optimization
Real-time congestion management
AIMD based signalling
Transportation
SDG 11 - Sustainable Cities and Communities
SDG 9 - Industry, Innovation, and Infrastructure
topic Crowdsourced data
Google Map API
Traffic signal optimization
Real-time congestion management
AIMD based signalling
Transportation
SDG 11 - Sustainable Cities and Communities
SDG 9 - Industry, Innovation, and Infrastructure
description Mishra, S., Singh, V., Gupta, A., Bhattacharya, D., & Mudgal, A. (2023). Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data. Transportation Letters, 15(4), 296-307. https://doi.org/10.1080/19427867.2022.2050493 ----The present work in the paper was not funded by any organization. One of the coauthor, Devanjan Bhattacharya has received funding from UKRI ESRC Impact Acceleration Grant (ES/T50189X/1), and European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie COFUND Grant Agreement No. 801215: TRAIN@Ed: ‘Transnational Research And Innovation Network At Edinburgh.’
publishDate 2023
dc.date.none.fl_str_mv 2023-05-09T00:31:54Z
2023-04-21
2023-04-21T00:00:00Z
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/10362/134834
url http://hdl.handle.net/10362/134834
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1942-7867
PURE: 42432080
https://doi.org/10.1080/19427867.2022.2050493
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 12
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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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