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基于运动趋势的移动对象位置预测

李雯 夏士雄 刘峰 张磊 袁冠

通信学报Issue(2):46-53,62,9.
通信学报Issue(2):46-53,62,9.DOI:10.3969/j.issn.1000-436x.2014.02.007

基于运动趋势的移动对象位置预测

Location prediction algorithm based on movement tendency

李雯 1夏士雄 1刘峰 2张磊 1袁冠1

作者信息

  • 1. 中国矿业大学 计算机科学与技术学院,江苏 徐州 221116
  • 2. 中国煤炭工业协会,北京 100713
  • 折叠

摘要

Abstract

A location prediction algorithm based on movement tendency (LP-MT) was proposed, which not only buils moving object’s historical activity model borrowing from Markov thinking, but also added movement tendency as an important reference of location prediction. Besides, each of the historical stay regions was considered as a candidate of future location. According to the characteristics of the future location, algorithm results were divided into prediction loca-tions and recommendation locations. Experiment results on real dataset show LP-MT method can ensure good efficiency and improve the accuracy by 10%compared with the existing algorithms.

关键词

位置预测/移动对象/马尔可夫模型/运动趋势/区域可达性

Key words

location prediction/moving object/Markov model/movement tendency/region reach-ability

分类

信息技术与安全科学

引用本文复制引用

李雯,夏士雄,刘峰,张磊,袁冠..基于运动趋势的移动对象位置预测[J].通信学报,2014,(2):46-53,62,9.

基金项目

教育部高等学校博士学科点专项科研基金资助项目(20110095110010);江苏省普通高校研究生科研创新计划基金资助项目(CXZZ11_0933);中央高校基本科研业务费专项资金基金资助项目(2012DXS02)Foundation Items:The Doctoral Foundation of Chinese Education Ministry (20110095110010) (20110095110010)

The Postgraduate Innovation Project of Jiangsu Province (CXZZ11_0933) (CXZZ11_0933)

The Fundamental Research Funds for the Central Universities (2012DXS02) (2012DXS02)

通信学报

OA北大核心CSCDCSTPCD

1000-436X

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