针对TPR*-tree隐含移动对象部分最近历史信息但不能提供历史信息查询的问题,将移动对象创建或更新时间引入到索引树中,提出一种既支持预测查询又支持部分历史信息查询的索引树BasicHTPR*-tree,为全时态查询奠定了坚实的基础,同时,为了支持移动对象的频繁更新,在BasicHTPR*-tree索引树基础上引入内存概要结构和Hash辅助索引结构,提出支持自底向上更新策略的HTPR*-tree索引结构.实验结果表明,HTPR*-tree更新性能优于TPR*-tree和BasicHTPR*-tree(TD_HTPR*-tree),预测查询性能仅仅稍逊于TPR*-tree.
In the TPR * -tree, the partial history trajectory of moving objects is implicit and it can't be queried. In this paper, we pro- pose a novel indexing method, called Basic HTPR* -tree ( History Time-Parameterized R-tree), which not only supports predictive queries but also partial history ones. Based on the TPR ~ -tree, our Basic HTPR * -tree adds creation or update time of moving objects to leaf node entries. In order to improve the update performance, we present a bottom-up update strategy for the HTPR * -tree by sup- plementing compact main memory summary structure and hash index. Experimental results show that the update performance of the HTPR * -tree ( Bottom-Up update ) is better than that of the Basic HTPR * -tree ( Top-Down update ) and TPR * -tree, and the predic- tive query performance is a bit less than that of TPR * -tree.