Efficient Indexing of the Historical, Present, and Future Positions of Moving Objects

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Although significant effort has been put into the development of efficient spatio-temporal indexing techniques for moving objects, little attention has been given to the development of techniques that efficiently support queries about the past, present, and future positions of objects. The provisioning of such techniques is challenging, both because of the nature of the data, which reflects continuous movement, and because of the types of queries to be supported. This paper proposes the BBx-index structure, which indexes the positions of moving objects, given as linear functions of time, at any time. The index stores linearized moving-object locations in a forest of B+-trees. The index supports queries that select objects based on temporal and spatial constraints, such as queries that retrieve all objects whose positions fall within a spatial range during a set of time intervals. Empirical experiments are reported that offer insight into the query and update performance of the proposed technique.
Original languageEnglish
Title of host publicationProceedings of the Sixth International Conference on Mobile Data Management
Publication date2005
Pages59-66
Publication statusPublished - 2005
EventInternational Conference on Mobile Data Management - Ayia Napa, Cyprus
Duration: 9 May 200513 May 2005
Conference number: 6

Conference

ConferenceInternational Conference on Mobile Data Management
Number6
CountryCyprus
CityAyia Napa
Period09/05/200513/05/2005

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Lin, D., Jensen, C. S., Ooi, B. C., & Saltenis, S. (2005). Efficient Indexing of the Historical, Present, and Future Positions of Moving Objects. In Proceedings of the Sixth International Conference on Mobile Data Management (pp. 59-66)
Lin, D. ; Jensen, Christian Søndergaard ; Ooi, B.C. ; Saltenis, Simonas. / Efficient Indexing of the Historical, Present, and Future Positions of Moving Objects. Proceedings of the Sixth International Conference on Mobile Data Management. 2005. pp. 59-66
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abstract = "Although significant effort has been put into the development of efficient spatio-temporal indexing techniques for moving objects, little attention has been given to the development of techniques that efficiently support queries about the past, present, and future positions of objects. The provisioning of such techniques is challenging, both because of the nature of the data, which reflects continuous movement, and because of the types of queries to be supported. This paper proposes the BBx-index structure, which indexes the positions of moving objects, given as linear functions of time, at any time. The index stores linearized moving-object locations in a forest of B+-trees. The index supports queries that select objects based on temporal and spatial constraints, such as queries that retrieve all objects whose positions fall within a spatial range during a set of time intervals. Empirical experiments are reported that offer insight into the query and update performance of the proposed technique.",
author = "D. Lin and Jensen, {Christian S{\o}ndergaard} and B.C. Ooi and Simonas Saltenis",
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Lin, D, Jensen, CS, Ooi, BC & Saltenis, S 2005, Efficient Indexing of the Historical, Present, and Future Positions of Moving Objects. in Proceedings of the Sixth International Conference on Mobile Data Management. pp. 59-66, International Conference on Mobile Data Management, Ayia Napa, Cyprus, 09/05/2005.

Efficient Indexing of the Historical, Present, and Future Positions of Moving Objects. / Lin, D.; Jensen, Christian Søndergaard; Ooi, B.C.; Saltenis, Simonas.

Proceedings of the Sixth International Conference on Mobile Data Management. 2005. p. 59-66.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Lin D, Jensen CS, Ooi BC, Saltenis S. Efficient Indexing of the Historical, Present, and Future Positions of Moving Objects. In Proceedings of the Sixth International Conference on Mobile Data Management. 2005. p. 59-66