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一种改进的移动对象时空数据模型
引用本文:卢炎生,查志勇,潘鹏.一种改进的移动对象时空数据模型[J].华中科技大学学报(自然科学版),2006,34(8):32-35.
作者姓名:卢炎生  查志勇  潘鹏
作者单位:华中科技大学,计算机科学与技术学院,湖北,武汉,430074;华中科技大学,计算机科学与技术学院,湖北,武汉,430074;华中科技大学,计算机科学与技术学院,湖北,武汉,430074
摘    要:分析了MOST模型和离散模型各自存在的问题,给出一种改进的移动对象时空数据模型HCFMOST.模型采用三次Hermite插值函数模拟移动对象的历史单元的轨迹且利用线性函数模拟移动对象的当前单元的轨迹,对当前单元中的误差进行了处理.该模型能够对历史轨迹进行精确的查询,对当前和未来的轨迹进行带误差的查询.

关 键 词:移动对象时空数据模型  移动对象  改进的移动时空数据模型  (HCFMOST)
文章编号:1671-4512(2006)08-0032-04
收稿时间:2005-08-03
修稿时间:2005年8月3日

An improv queed spatio-temporal data model for moving objects
Lu Yansheng,Zha Zhiyong,Pan Peng.An improv queed spatio-temporal data model for moving objects[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2006,34(8):32-35.
Authors:Lu Yansheng  Zha Zhiyong  Pan Peng
Abstract:The insufficiency of MOST and discrete models were pointed out. On the basis of the two models, an improved moving objects spatio-temporal data model, HCFMOST, was presented. The trajectories of the past units of moving objectives were stimulated by using cubic Hermite interpolation and the trajectories of the current units of moving objectives were done by linear interpolation while the errors from the current units were handled. In this model, the trajectories of the past units can be queried accurately, and the current and future trajectories of the moving objectives with the errors handled be done.
Keywords:moving objects spatio-temporal data model  moving object  history-current-future moving objects spatio-temporal data model (HCFMOST)  
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