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- W3144208029 abstract "Index is a key technology to improve the query processing performance of moving objects databases.However,current index methods for moving object trajectories,such as STR-Tree,TB-Tree,FNR-Tree,and MON-Tree,take trajectory units as the basic index records,and therefore,frequent insertions are needed when location updates occur in order to keep the consistency between the index and the trajectories in database,which greatly affects the overall performance of moving objects databases.To solve this problem,we propose a new index method,Dynamic Sketched-Trajectory R-Tree for Network-constrained Moving Objects(DSTR-Tree) in this paper.The DSTR-Tree divides the spatial-temporal space into equal-sized grid cells,transforms every trajectory into a sketched trajectory with each unit connecting two centers of the grid cells that the moving object travels through,and indices the sketched trajectory units as an R-Tree.Since the sketched trajectory has much coarser granularity than the original trajectory,the index updating cost can be greatly reduced-when a location update occurs,even though the original trajectory needs to be changed,the sketched trajectory may remain unchanged so that the DSTR-Tree does not need to be changed either.The experimental results show that the DSTR-Tree outperforms the previously proposed trajectory index methods in running moving objects databases with frequent location updates." @default.
- W3144208029 created "2021-04-13" @default.
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- W3144208029 date "2012-01-01" @default.
- W3144208029 modified "2023-09-25" @default.
- W3144208029 title "An Index Structure for Frequently Updated Network-Constrained Moving Object Trajectories" @default.
- W3144208029 hasPublicationYear "2012" @default.
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