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Article: Querying moving objects with uncertainty

TitleQuerying moving objects with uncertainty
Authors
KeywordsApproximation Theory
Database Systems
Gaussian Noise (Electronic)
Global Positioning System
Mathematical Models
Probability
Trees (Mathematics)
Issue Date2003
Citation
IEEE Vehicular Technology Conference, 2003, v. 58 n. 4, p. 2783-2787 How to Cite?
AbstractRapid development of mobile devices makes it possible that billions of mobile and personal devices will soon be used in every daily routine work. This emerging environment presents a number of challenging problems in several research areas including databases. The need for managing and querying continuously moving objects is among the new demands of this development. Although global positioning systems (GPS) are widely used nowadays, it is still a fact that the position information obtained is not accurate at every time instant. Thus, in most cases trajectory information is in fact "expected" trajectory with uncertainty. An interesting problem is indexing and querying trajectories with uncertain information. In this paper we introduce a data model for moving object trajectories with uncertainty and develop a new index structure (TPRU-tree) for uncertain trajectories based on TPR-tree. We discuss query evaluation using TPRU-tree and present an empirical study.
Persistent Identifierhttp://hdl.handle.net/10722/90950
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorLin, Ben_HK
dc.contributor.authorMokhtar, Hen_HK
dc.contributor.authorPelaez-Aguilera, Ren_HK
dc.contributor.authorSu, Jen_HK
dc.date.accessioned2010-09-17T10:10:48Z-
dc.date.available2010-09-17T10:10:48Z-
dc.date.issued2003en_HK
dc.identifier.citationIEEE Vehicular Technology Conference, 2003, v. 58 n. 4, p. 2783-2787en_HK
dc.identifier.issn0740-0551en_HK
dc.identifier.urihttp://hdl.handle.net/10722/90950-
dc.description.abstractRapid development of mobile devices makes it possible that billions of mobile and personal devices will soon be used in every daily routine work. This emerging environment presents a number of challenging problems in several research areas including databases. The need for managing and querying continuously moving objects is among the new demands of this development. Although global positioning systems (GPS) are widely used nowadays, it is still a fact that the position information obtained is not accurate at every time instant. Thus, in most cases trajectory information is in fact "expected" trajectory with uncertainty. An interesting problem is indexing and querying trajectories with uncertain information. In this paper we introduce a data model for moving object trajectories with uncertainty and develop a new index structure (TPRU-tree) for uncertain trajectories based on TPR-tree. We discuss query evaluation using TPRU-tree and present an empirical study.en_HK
dc.languageengen_HK
dc.relation.ispartofIEEE Vehicular Technology Conferenceen_HK
dc.subjectApproximation Theoryen_HK
dc.subjectDatabase Systemsen_HK
dc.subjectGaussian Noise (Electronic)en_HK
dc.subjectGlobal Positioning Systemen_HK
dc.subjectMathematical Modelsen_HK
dc.subjectProbabilityen_HK
dc.subjectTrees (Mathematics)en_HK
dc.titleQuerying moving objects with uncertaintyen_HK
dc.typeArticleen_HK
dc.identifier.emailLin, B:blin@hku.hken_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-4143119896en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-4143119896&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume58en_HK
dc.identifier.issue4en_HK
dc.identifier.spage2783en_HK
dc.identifier.epage2787en_HK

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