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基于时空索引结构的移动对象将来时刻位置预测
Query processing about near future positions of moving objects based on spatio-temporal index structure
【摘要】 重点集中在移动对象索引方法中的查询技术.首先,提出了一种混合树——PQR树用于受限移动对象的索引结构,然后利用指数平滑方法实现了将来时刻的查询.实验表明,该方法的查询效率优于目前最具代表性的时空索引结构——TPR树.
【Abstract】 This paper focuses on the query problems of indexing structure for moving objects.First,an integrated tree structure PQR-tree is proposed for indexing the moving objects in constrained movement.Second,an exponential smoothing approach for predicting the result of queries that refer to the future is implemented.The experimental results show that the approach achieves a better performance for query evaluation than TPR-tree.
【关键词】 移动对象;
移动对象数据库;
时空索引;
【Key words】 moving objects; spatio-temporal indexes; spatio-temporal databases;
【Key words】 moving objects; spatio-temporal indexes; spatio-temporal databases;
【基金】 国家自然科学基金项目(编号:60173045);国家863项目(编号:2005AA122320)
- 【文献出处】 武汉大学学报(工学版) ,Engineering Journal of Wuhan University , 编辑部邮箱 ,2007年03期
- 【分类号】TP311.52
- 【被引频次】10
- 【下载频次】243