期刊文献+

移动对象数据库中时空索引技术的研究 被引量:4

Research on spatial-temporal data model and spatial-temporal index in moving objects database
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摘要 提出了基于移动对象运动轨迹的时空立方体模型,在该模型中,移动对象的运动轨迹按一定时间间隔划分,每段运动轨迹对应一个最小外接时空长方体,它是存储、访问的一个基本单位。基于该模型设计了相应的时空索引和时空查询算法。验证表明,模型在减少数据冗余和时空查询性能方面有较大提高。 : A new spatial-temporal data model based on space-time cube is presented, where trajectories of moving objects are split into segments, each segment has a bounding cuboid. The trajectory segment is a basic unit for storage, and the bounding cuboid is built on the segment for indexing. The experiment shows that redundancy of data is reduced and performance of spatial-temporal query is improved.
出处 《计算机工程与设计》 CSCD 北大核心 2007年第22期5338-5340,5481,共4页 Computer Engineering and Design
关键词 移动对象数据库 时空立方体 时空索引 时空数据查询 时空数据模型 moving objects database space-time cube spatial-temporal index spatial-temporal query spatial-temporal model
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参考文献7

  • 1易善桢,张勇,周立柱.一种平面移动对象的时空数据模型[J].软件学报,2002,13(8):1658-1665. 被引量:11
  • 2王卫京,翁敬农,樊珂.车辆监控系统中时空数据模型设计与实现[J].计算机工程与设计,2006,27(6):1042-1044. 被引量:5
  • 3Tao Yufei,Dimitris Papadias,Sun Jimeng.The TPR*-tree:An optimized spatioemporal access method for predictive queries [C].Proceedings of the 29th Very Large Data Bases Conference, 2003,790-801.
  • 4Dieter Pfoser, Christian S Jensen,Yannis Theodoridis.Novel approaches in query processing for moving object trajectories[C]. Proceedings of the 26th International Conference on Very Large Data Bases,2000,395-406.
  • 5Zhu Hongjun,Su Jianwen,Oscar H Ibarra.Trajectory queries and octagons in moving object databases[J].Regional Science Association,2002,(7):1032-1039.
  • 6Meng Xiaofeng,Ding Zhiming.Dsttmod:A discrete spatio-temporal trajectory based moving object database system[J].Regional Science Association,2003,(9):674-683.
  • 7Simonas Saltenis,Christian S Jensen, Scott T Leutenegger, et al. Indexing the positions of continuously moving objects[C].Proceedings of the 2000 ACM SIGMOD International Conference on Management of data,2000,331-342.

二级参考文献13

  • 1[1]Frank, A., Grumbach, S., et al. CHOROCHRONOS: a research network for spatiotemporal database systems. SIGMOD Record, 1999,28(3):12~21.
  • 2[2]Wilcox, D.J., Harwell, M.C., Orth, R.J. Modeling dynamic polygon objects in space and time: a new graph-based technique. Cartography and Geographic Information Science, 2000,27(2):153~164.
  • 3[3]Peuquet, D.J. An event-based spatiotemporal data model (ESTDM) for temporal analysis of geographical data. International Journal of Geographical Information Systems, 1995,19(1):7~24.
  • 4[4]Hornsby, K., Egenhofer, M.J. Identity-Based change: a foundation for spatial-temporal knowledge representation. International Journal of Geographical Information Science, 2000,14(3):207~224.
  • 5[5]Yattaw, N.J. Conceptualizing space and time: a classification of geographic movement. Cartography and Geographic Information Science, 1999,26(2):85~98.
  • 6[6]Egenhofer, M.J., Franzosa, R. Point-Set topological spatial relations. International Journal of Geographical Information Systems, 1991.5:61~174.
  • 7[7]Allen, J.F. Maintaining knowledge about temporal intervals. Communications of the ACM, 1983,26(11):832~843.
  • 8Wolfson O,XU B,Chamberlain S,et al.Moving object database:issue and solutions[A].Proc 10th Int Confon Science and Statistical Database Management[C].Capri,Italy,1998.111-122.
  • 9Hagerstrand T.What about people in regional science[J].Papers,Regional Science Association,1970,24:7-21.
  • 10Oracle spatial user's guide and reference release 9.2[R].2002.

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