电子科技大学学报2012，Vol.41Issue(5)：759-763,5.DOI:10.3969/j.issn.1001-0548.2012.05.022
基于CTBN的移动对象不确定轨迹预测算法
Uncertain Trajectory Prediction of Moving Objects Based on CTBN
摘要
Abstract
In order to predict the uncertain trajectories in an efficient and accurate fashion, this paper introduces an uncertain trajectory prediction algorithm based on trajectory continuous time Bayesian networks (CTBN). It contains three essential phases: mining hotspot regions by partitioning trajectories into distinct hotspot clusters; constructing trajectory CTBN which is a states combination of three important variables including street identifier, moving speed, and moving direction; predicting the motion behavior of moving objects in order to obtain possible trajectories. Experimental results demonstrate that the proposed method can accurately predict the possible motion curves of moving objects in different trajectory data sets when compared with the naive prediction algorithm. In addition, experiments verify the essential role of hotspot region mining, which can help save prediction time at about 60% with a guarantee of high prediction accuracy.关键词
热点区域/移动对象数据库/轨迹时间连续贝叶斯网络/轨迹预测/不确定性Key words
hotspot region/ moving objects databases/ trajectory continuous time Bayesian networks/ trajectory prediction/ uncertainty分类
信息技术与安全科学引用本文复制引用
乔少杰,彭京,李天瑞,朱焱,刘良旭..基于CTBN的移动对象不确定轨迹预测算法[J].电子科技大学学报,2012,41(5):759-763,5.基金项目
国家自然科学基金(61100045,61165013) （61100045,61165013）
中国博士后科学基金特别资助项目(201104697):教育部人文社会科学研究青年基金(10YJCZH117) （201104697）
高等学校博士学科点专项科研基金(20110184120008) （20110184120008）
中国博士后科学基金(20090461346) （20090461346）
中央高校基本科研业务费专项资金专题研究项目(SWJTU11ZT08) （SWJTU11ZT08）
四川省科技支撑计划(09ZC0516) （09ZC0516）
