期刊文献+

基于R树移动对象预测位置查询

Moving Object Prediction Location Query Based on R-tree
下载PDF
导出
摘要 当前对移动对象位置预测查询的研究中,索引结构是查询性能优良的关键。针对现有方法中存在的缺陷,本文提出R-tree索引方法。R树算法能有效的索引移动对象的现在与预测的将来位置。R树算法考虑移动对象的速度与方向来预测移动对象在不久将来的大致位置。实验结果表明,采用R-tree索引结构具有最优的查询和更新性能。 In the research of the prediction location query of the moving objects, the design of index structure is the key to performance. According to defects of the existing index methods, R-tree index method is proposed in this paper. R-tree algorithm can effectively index space moving object and predict the future positions. R-tree algorithm predicts the moving objects location through the speed and direction of object mobile bound. The experimental results show that R-tree index structure have a optimal search and performance.
出处 《科技视界》 2012年第14期19-22,共4页 Science & Technology Vision
基金 浙江省自然科学基金Y12F020080 浙江省重大科技专项2011C11046
关键词 R树 移动对象 位置预测 R-tree Move objects Location prediction
  • 相关文献

参考文献5

二级参考文献10

  • 1唐炎森.确定平滑系数的新方法[J].统计与信息论坛,1997,12(3):16-18. 被引量:4
  • 2Jamel Tayeb,Ozgur Ulusoy,Ouri Wolfson.A quadtree based dynamic attribute indexing method[J].The Computer Journal,1998,41(3):185-200.
  • 3Saltenis S.Indexing the position of continuously moving objects[C]//Proceedings of ACM SIGMOD Conference,2000.
  • 4Gisli R Hjaltason,Hanan Samet.Speeding up construction of PMR Quadtree-based spatial indexes[J].VLDB Journal,2002,11:190-137.
  • 5Xia Yuni.Indexing continuously changing data with mean variance tree[C]//ACM Symposium on Applied Computing.Santa Fe,New Mexico,USA,March 13-17,2005.
  • 6George Kollios.Indexing mobile objects using dual transformations[J].VLDB Journal,2005,14:238-256.
  • 7Bo Xu,Ouri Wolfson.Time-series prediction with applications to traffic and moving objects databases[C]//Proceedings of the 3rd ACM International Workshop on Data Engineering for Wireless and Mobile Access.2003.
  • 8Xia Y,Prabhakar S.Q+R tree:efficient indexing for moving object databases[C]//Proceedings of the 8th International Conference on Database System for Advanced Applications,2003.
  • 9Brinkhoff T.A framework for generating network-based moving objects[J].GeoInformatica,2002,6(2):153-180.
  • 10Sun J,Papadias D,Tao Y,Liu B.Query about the past,the present,and the future in spatio-temporal databases[C]//Proc.ICDE,2004:202-213.

共引文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部