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• W55183794 abstract "Aim at moving objects on road network, we propose a novel indexing named PPFN*-tree to store past trajectories, present positions, and predict near future positions of moving objects. PPFN*-tree is a hybrid indexing structure which consists of a 2D R*-tree managing the road networks, a set of TB*-tree indexing objects’ movement history trajectory along the polylines, and a set of basic HTPR*-tree indexing the position of moving objects after recent update. PPFN*-tree can not only support past trajectory query and present position query, but also support future predictive query. According to the range query time, query in PPFN*-tree can be implemented only in the TB*-tree, or only in the HTPR*-tree, or both of them. Experimental results show that the update performance of the PPFN*-tree is better than that of the PPFI and the RPPF-tree. The query performance of the PPFN*-tree is better than that of the MON-Tree and the PPFI." @default.
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• W55183794 date "2013-01-01" @default.
• W55183794 modified "2023-10-16" @default.
• W55183794 title "Efficient Indexing of the Past, Present and Future Positions of Moving Objects on Road Network" @default.
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• W55183794 doi "https://doi.org/10.1007/978-3-642-39527-7_23" @default.
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