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dc.contributor.authorVera-Baquero, Alejandro
dc.contributor.authorColomo-Palacios, Ricardo
dc.date.accessioned2019-06-20T11:14:28Z
dc.date.available2019-06-20T11:14:28Z
dc.date.created2018-11-05T22:58:49Z
dc.date.issued2018-05-29
dc.identifier.citationEAI Endorsed Transactions on Scalable Information Systems. 2018, 5(17), e5nb_NO
dc.identifier.issn2032-9407
dc.identifier.urihttp://hdl.handle.net/11250/2601532
dc.description.abstractData analysis and monitoring of road networks in terms of reliability and performance are valuable but hard to achieve, especially when the analytical information has to be available to decision makers on time. The gathering and analysis of the observable facts can be used to infer knowledge about traffic congestion over time and gain insights into the roads safety. However, the continuous monitoring of live traffic information produces a vast amount of data that makes it difficult for business intelligence (BI) tools to generate metrics and key performance indicators (KPI) in nearly real-time. In order to overcome these limitations, we propose the application of a big-data based and process-centric approach that integrates with operational traffic information systems to give insights into the road network's efficiency. This paper demonstrates how the adoption of an existent process-oriented DSS solution with big-data support can be leveraged to monitor and analyse live traffic data on an acceptable response time basis.nb_NO
dc.language.isoengnb_NO
dc.publisherEAInb_NO
dc.relation.urihttp://eudl.eu/pdf/10.4108/eai.29-5-2018.154810
dc.rightsAttribution 3.0 Unported (CC BY 3.0)*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/*
dc.subjectTraffic Managementnb_NO
dc.subjectBig Datanb_NO
dc.subjectCloud Computingnb_NO
dc.subjectBig Data Analyticsnb_NO
dc.subjectBusiness Processnb_NO
dc.subjectProcess Monitoringnb_NO
dc.subjectBusiness Intelligencenb_NO
dc.subjectDecision Support Systemsnb_NO
dc.subjectEvent-Drivennb_NO
dc.titleA Big-Data based and process-oriented decision support system for traffic managementnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Annen informasjonsteknologi: 559nb_NO
dc.source.pagenumbere5nb_NO
dc.source.volume5nb_NO
dc.source.journalEAI Endorsed Transactions on Scalable Information Systemsnb_NO
dc.source.issue17nb_NO
dc.identifier.doi10.4108/eai.29-5-2018.154810
dc.identifier.cristin1627270
cristin.unitcode224,55,0,0
cristin.unitnameAvdeling for informasjonsteknologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution 3.0 Unported (CC BY 3.0)
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution 3.0 Unported (CC BY 3.0)