计算机应用研究2016，Vol.33Issue(12)：3521-3526,3534,7.DOI:10.3969/j.issn.1001-3695.2016.12.001
城市尺度下基站人群时空预测模型
Spatio-temporal analysis and forecast of population of cellular in city scale
摘要
Abstract
This paper studied the time and space distributions of city-scaled residents by making use of 3G mobile network da-ta,and proposed a spatio-temporal forecasting model of cellular population.The inspiration came from the real world accumu-lation and dispersion of crowd.For importing the dynamic mobility,this model could avoid the effect of data smoothing widely embedded in previous models based on time series and overall space data.Through experimental verification,this model has been proved that it owns a better prediction performance on a fine-grained scale,especially in the prediction of incident crowd. This study and mode helps to better understand the crowd distribution and provide support for wireless network base station re-search.关键词
人群分布/3G上网数据/动态聚散/时空分析/预测模型Key words
population distribution/3G mobile phone data/dynamic accumulation and dispersion/spatio-temporal analysis/forecast model分类
信息技术与安全科学引用本文复制引用
孙莹,陈夏明,王海洋,强思维..城市尺度下基站人群时空预测模型[J].计算机应用研究,2016,33(12):3521-3526,3534,7.基金项目
国家自然科学基金资助项目 （）
