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

2023-04-21Artigo científico Acesso aberto
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dc.contributor.authorMishra, Sumit
dc.contributor.authorSingh, Vishal
dc.contributor.authorGupta, Ankit
dc.contributor.authorBhattacharya, Devanjan
dc.contributor.authorMudgal, Abhisek
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblManey Publishing
dc.date.accessioned2022-03-18T23:24:18Z
dc.date.available2023-05-09T00:31:54Z
dc.date.embargoedUntil2023-03-13
dc.date.issued2023-04-21
dc.descriptionMishra, 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.’
dc.description.abstractAdvancement 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.en
dc.description.versionauthorsversion
dc.description.versionpublished
dc.format.extent12
dc.format.extent987905
dc.identifier.doi10.1080/19427867.2022.2050493
dc.identifier.issn1942-7867
dc.identifier.otherPURE: 42432080
dc.identifier.otherPURE UUID: 0a05e16c-a2cb-47e9-8a7d-a547bd0a2648
dc.identifier.othercrossref: 10.1080/19427867.2022.2050493
dc.identifier.otherScopus: 85126530759
dc.identifier.otherWOS: 000768096100001
dc.identifier.urihttp://hdl.handle.net/10362/134834
dc.identifier.urlhttps://www.scopus.com/pages/publications/85126530759
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:000768096100001
dc.identifier.urlhttps://www.tandfonline.com/doi/full/10.1080/19427867.2022.2050493
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
dc.relationInformation Management Research Center
dc.subjectCrowdsourced data
dc.subjectGoogle Map API
dc.subjectTraffic signal optimization
dc.subjectReal-time congestion management
dc.subjectAIMD based signalling
dc.subjectTransportation
dc.subjectSDG 11 - Sustainable Cities and Communities
dc.subjectSDG 9 - Industry, Innovation, and Infrastructure
dc.titleAdaptive traffic signal control for developing countries using fused parameters derived from crowd-source dataen
dc.typejournal article
degois.publication.firstPage296
degois.publication.issue4
degois.publication.lastPage307
degois.publication.titleTransportation Letters
degois.publication.volume15
dspace.entity.typePublication
oaire.awardNumberUIDB/04152/2020
oaire.awardTitleInformation Management Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication3274bdb3-4dd3-4bbe-8f74-d34190081f87
relation.isProjectOfPublication.latestForDiscovery3274bdb3-4dd3-4bbe-8f74-d34190081f87

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NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)