Indexing moving objects for directions and velocities queries

S Alamri, D Taniar, M Safar - Information Systems Frontiers, 2013 - Springer
Information Systems Frontiers, 2013Springer
Moving object databases are required to support different types of queries with a large
number of moving objects. New types of queries namely directions and velocity queries (DV
queries), are to be supported and covered. The TPR-tree and its successors are efficient
indexes that support spatio-temporal queries for moving objects. However, neither of them
support the new DV queries. In this paper, we propose a new index for moving objects
based on the TPR*-tree, named Direction and Velocity of TPR*-tree or DV-TPR*-tree, in …
Abstract
Moving object databases are required to support different types of queries with a large number of moving objects. New types of queries namely directions and velocity queries (DV queries), are to be supported and covered. The TPR-tree and its successors are efficient indexes that support spatio-temporal queries for moving objects. However, neither of them support the new DV queries. In this paper, we propose a new index for moving objects based on the TPR*-tree, named Direction and Velocity of TPR*-tree or DV-TPR*-tree, in order to build data a structure based on the spatial, direction and velocity domains. DV-TPR*-tree obtains an ideal distribution that supports and fulfils the new query types (DV queries). Extensive performance studies show that the query performance of DV-TPR*-tree outperforms the TPR-tree and its successors.
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