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Abstract: Moving object environments contain large numbers of queries and continuously moving objects. Traditional spatial index structures do not work well in this environment because of the need to frequently update the index which results in very poor performance. In this paper, we present a novel indexing structure, namely the Q+Rtree, based on the observation that i) most moving objects are in quasi-static state most of time, and ii) the moving patterns of objects are strongly related to the... (Update)
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BibTeX entry: (Update)
@misc{ xia-qrtree,
author = "Yuni Xia and Sunil Prabhakar",
title = "Q+Rtree: Efficient Indexing for Moving Object Databases",
url = "citeseer.ist.psu.edu/650631.html" }
Citations (may not include all citations):765 trees: A dynamic index structure for spatial searching (context) - Guttman - 1984
262 Multidimensional access methods - Gaede, Gunher - 1998
106 Indexing the position of continuously moving objects - Saltenis, Jensen et al. - 2000
80 On indexing mobile objects - Kollios, Gunopulos et al. - 1999
64 Indexing moving points - Agarwal, Arge et al. - 2000
43 Novel approaches in query processing for moving objects (context) - Pfoser, Jensen et al. - 2000
24 Query indexing and velocity constrained indexingscalable tec.. - Kalashnikov, Hambrusch et al. - 2002
22 Mvr tree spatio temporal acces method timestamp and interval.. - Papadias, spatio et al. - 2001
16 Indexing the current positions of moving objects using the l.. (context) - Kwon, Lee et al. - 2002
5 tree indexes in oracle spatial: a comparison using gis data (context) - Kanth, Kothuri et al. - 2002
3 A quadtree-based dynamic ttribute indexing method (context) - Tayeb, Ulusoy et al. - 1998
3 on Mobile Data Management (context) - Song, Roussopoulos et al. - 2001
2 The hybrid tree: An index structure for high dimensional fea.. (context) - Chakarabarti, Mehrotra - 1999
http://www.alphaworks.ibm.com/tech/citysimulator
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