LineKing: Crowdsourced line wait-time estimation using smartphones

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dc.citation.epage224en_US
dc.citation.spage205en_US
dc.citation.volumeNumber110en_US
dc.contributor.authorBulut, M. F.en_US
dc.contributor.authorYilmaz, Y. S.en_US
dc.contributor.authorDemirbaş, M.en_US
dc.contributor.authorFerhatosmanoğlu, N.en_US
dc.contributor.authorFerhatosmanoğlu, Hakanen_US
dc.coverage.spatialSeattle, WA, USAen_US
dc.date.accessioned2016-02-08T12:08:32Z
dc.date.available2016-02-08T12:08:32Z
dc.date.issued2013en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionConference name: 4th International Conference, MobiCASE 2012en_US
dc.descriptionDate of Conference: 11-12 October 2012en_US
dc.description.abstractThis paper describes the design, implementation and deployment of LineKing (LK), a crowdsourced line wait-time monitoring service. LK consists of a smartphone component (that provides automatic, energy-efficient, and accurate wait-time detection), and a cloud backend (that uses the collected data to provide accurate wait-time estimation). LK is used on a daily basis by hundreds of users to monitor the wait-times of a coffee shop in our university campus. The novel wait-time estimation algorithms deployed at the cloud backend provide mean absolute errors of less than 2-3 minutes. © 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.en_US
dc.identifier.doi10.1007/978-3-642-36632-1_12en_US
dc.identifier.issn18678211
dc.identifier.urihttp://hdl.handle.net/11693/28018
dc.language.isoEnglishen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;110en_US
dc.relation.isversionofhttps://doi.org/10.1007/978-3-642-36632-1_12en_US
dc.source.titleMobile Computing, Applications, and Services, 4th International Conference, MobiCASE 2012en_US
dc.subjectCrowdsourced sensingen_US
dc.subjectSmartphone applicationsen_US
dc.subjectWait-time estimationen_US
dc.subjectCoffee shopsen_US
dc.subjectCrowdsourced sensingen_US
dc.subjectEnergy efficienten_US
dc.subjectEstimation algorithmen_US
dc.subjectMean absolute erroren_US
dc.subjectMonitoring servicesen_US
dc.subjectSmart-phone applicationsen_US
dc.subjectUniversity campusen_US
dc.subjectMobile computingen_US
dc.subjectSignal encodingen_US
dc.subjectSmartphonesen_US
dc.subjectEstimationen_US
dc.titleLineKing: Crowdsourced line wait-time estimation using smartphonesen_US
dc.typeConference Paperen_US
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