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.
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Fang, Y., Cao, J., Peng, Y., Chen, N., Liu, L. (2013). Efficient Indexing of the Past, Present and Future Positions of Moving Objects on Road Network. In: Gao, Y., et al. Web-Age Information Management. WAIM 2013. Lecture Notes in Computer Science, vol 7901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39527-7_23
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DOI: https://doi.org/10.1007/978-3-642-39527-7_23
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