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Article: Querying moving objects with uncertainty
Title | Querying moving objects with uncertainty |
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Authors | |
Keywords | Approximation Theory Database Systems Gaussian Noise (Electronic) Global Positioning System Mathematical Models Probability Trees (Mathematics) |
Issue Date | 2003 |
Citation | IEEE Vehicular Technology Conference, 2003, v. 58 n. 4, p. 2783-2787 How to Cite? |
Abstract | Rapid 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 Identifier | http://hdl.handle.net/10722/90950 |
ISSN | 2023 SCImago Journal Rankings: 0.469 |
References |
DC Field | Value | Language |
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dc.contributor.author | Lin, B | en_HK |
dc.contributor.author | Mokhtar, H | en_HK |
dc.contributor.author | Pelaez-Aguilera, R | en_HK |
dc.contributor.author | Su, J | en_HK |
dc.date.accessioned | 2010-09-17T10:10:48Z | - |
dc.date.available | 2010-09-17T10:10:48Z | - |
dc.date.issued | 2003 | en_HK |
dc.identifier.citation | IEEE Vehicular Technology Conference, 2003, v. 58 n. 4, p. 2783-2787 | en_HK |
dc.identifier.issn | 0740-0551 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/90950 | - |
dc.description.abstract | Rapid 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.language | eng | en_HK |
dc.relation.ispartof | IEEE Vehicular Technology Conference | en_HK |
dc.subject | Approximation Theory | en_HK |
dc.subject | Database Systems | en_HK |
dc.subject | Gaussian Noise (Electronic) | en_HK |
dc.subject | Global Positioning System | en_HK |
dc.subject | Mathematical Models | en_HK |
dc.subject | Probability | en_HK |
dc.subject | Trees (Mathematics) | en_HK |
dc.title | Querying moving objects with uncertainty | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Lin, B:blin@hku.hk | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-4143119896 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-4143119896&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 58 | en_HK |
dc.identifier.issue | 4 | en_HK |
dc.identifier.spage | 2783 | en_HK |
dc.identifier.epage | 2787 | en_HK |
dc.identifier.issnl | 0740-0551 | - |