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dc.contributor.authorMariescu-Istodor, Radu
dc.contributor.authorUngureanu, Roxana
dc.contributor.authorFränti, Pasi
dc.contributor.editorGartner, Georg; Huang, Haosheng
dc.date.accessioned2020-01-16T16:28:03Z
dc.date.available2020-01-16T16:28:03Z
dc.date.issued2019
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/7948
dc.description.abstractThe number of GPS trajectories recorded daily has been continuously growing in the recent years and new methods to analyse such big data are surfacing all the time. In this paper, we focus on destination prediction, which is useful in various applications like hazard detection and advertisement. We proposed a real-time method for destination prediction of moving users. It uses the current movement trajectory of the user together with historical and regional information to make an accurate prediction. The method is efficient because we can rapidly compute features with the help of spatial and non-spatial indexing methods. We tested the method with real trajectories collected by Mopsi users. The success rate of the method is up to 65 % depending on the length of the recorded trajectory so far, i.e. how long the user has been on move. To our knowledge, this is the first real-time system capable of such success.
dc.language.isoenglanti
dc.publisherCopernicus GmbH
dc.relation.ispartof15th International Conference on Location Based Services (LBS 2019)
dc.relation.urihttp://dx.doi.org/10.5194/ica-adv-2-10-2019
dc.rightsCC BY http://creativecommons.org/licenses/by/4.0/
dc.subjectGPS trajectories
dc.subjectdestination prediction
dc.subjectuser profiling
dc.subject
dc.titleReal-time destination prediction for mobile users
dc.description.versionpublished version
dc.contributor.departmentSchool of Computing, activities
uef.solecris.id67268622en
dc.type.publicationArtikkelit ja abstraktit tieteellisissä konferenssijulkaisuissa
dc.rights.accessrights© Authors
dc.relation.doi10.5194/ica-adv-2-10-2019
dc.description.reviewstatuspeerReviewed
dc.relation.articlenumber10
dc.relation.issn2570-2084
dc.relation.numberinseries2
dc.rights.accesslevelopenAccess
dc.type.okmA4
uef.solecris.openaccessOpen access -julkaisukanavassa ilmestynyt julkaisu


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