叶小平, 陈瑞鑫, 周旋珍, 陈鹏. 移动对象索引ST-tree[J]. 华南师范大学学报(自然科学版), 2014, 46(3).
引用本文: 叶小平, 陈瑞鑫, 周旋珍, 陈鹏. 移动对象索引ST-tree[J]. 华南师范大学学报(自然科学版), 2014, 46(3).
ST-tree: An Index for Moving Objects[J]. Journal of South China Normal University (Natural Science Edition), 2014, 46(3).
Citation: ST-tree: An Index for Moving Objects[J]. Journal of South China Normal University (Natural Science Edition), 2014, 46(3).

移动对象索引ST-tree

ST-tree: An Index for Moving Objects

  • 摘要: 随着计算机网络和无限定位技术的发展,移动对象数据管理已经成为大数据时代新型数据库技术的重要组成部分.当前,移动对象数据库(MOD)研究重点之一是基于路网的移动对象数据索引技术.该文研究一种基于时空”对称”和”统一”处理的索引模式ST-tree.首先,根据路网移动对象特征,以空间间隔和时间期间组成的时空矩形为技术处理单元,讨论了一般区间元素集合上基于下右优先遍历序列的结构关系;其次,将时空矩形数据集合映射为空间间隔集合和时间期间集合,应用区间结构关系建立了路网移动对象数据集合数据结构;另外,由此研究了基于历史信息的移动对象索引ST-tree,它具有“一次一集合”的数据操作模式;最后,采用常规用例数据设计了基本仿真,通过与现有基本工作比较评估表明了ST-tree的可行性与有效性.

     

    Abstract: With the development of the technologies on computer communication and radio location, the management of moving objects data has become one of the important studying issues in the time of “big data”, furthermore, the index for the moving objects data within the road network has been a hot field in moving objects database (MOD). A novel index method which deals with the factors of “time” and “space” equally and uniformly is proposed. Firstly, it regards the temporal-spatial rectangle as the basic technical unit which consists of spatial interval and temporal period and studies the structural relationship for the set composed of the interval elements. Secondly, it maps the set of spatial-temporal rectangle into the sets of intervals and periods respectively and the data structure on them are constructed by the down-right first traversing. Thirdly, it puts forward the index schema, denoted as ST-tree, to deal with the historical information of moving objects data and completes querying with the module of “one time, one set”. In addition, simulations are carried out which compare ST-tree with some corresponding existing works and results indicate the feasibility and efficiency of ST-index.

     

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