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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 | |
| 引用本文： | 詹平,郭菁,郭薇.基于时空索引结构的移动对象将来时刻位置预测[J].武汉大学学报(工学版),2007,40(3):103-108. |
| 作者姓名： | 詹平 郭菁 郭薇 |
| 作者单位： | 1. 武汉大学城市设计学院,湖北,武汉,430072 2. 武汉大学动力与机械学院,湖北,武汉,430072 3. 上海交通大学区域光纤通信网与新型光通信系统国家重点实验室,上海,200030 |
| 基金项目： | 国家自然科学基金;国家高技术研究发展计划(863计划) |
| 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. |
| 关 键 词： | 移动对象 移动对象数据库 时空索引 |
| 文章编号： | 1671-8844（2007）03-0103-06 |
| 修稿时间： | 2006-11-27 |
Query processing about near future positions of moving objects based on spatio-temporal index structure |
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| ZHAN Ping,GUO Jing,GUO Wei.Query processing about near future positions of moving objects based on spatio-temporal index structure[J].Engineering Journal of Wuhan University,2007,40(3):103-108. | |
| Authors: | ZHAN Ping GUO Jing GUO Wei |
| Affiliation: | 1. School of Urban Design, Wuhan University, Wuhan 430072, China; School of Power and Mechanical Engineering , Wuhan University, Wuhan 430072, China; 3. State Key Lab of Advanced Optical Communication System and Network, Shanghai Jiaotong University, Shanghai 200030, China |
| 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. |
| Keywords: | moving objects spatio-temporal indexes spatio-temporal databases |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |