计算机工程与应用2019，Vol.55Issue(23)：53-63,11.DOI:10.3778/j.issn.1002-8331.1808-0192
基于信令数据的人流时空分布和移动模式研究
Research of Human Flow Spatial-Temporal Distribution and Mobility Pattern Based on Sig-naling Data
黄建华 1孟伟强 1吴飞霞1
作者信息
- 1. 华东理工大学 信息科学与工程学院,上海 200237
- 折叠
摘要
Abstract
Aiming at the problems of data sparseness, uneven distribution and abnormal signal drift in the mobility pattern studies based on mobile phone signaling data, this paper proposes a data preprocessing method to solve data sparseness and uneven distribution from two levels:data capacity and data distribution. A spatial and temporal distribution algorithm of the people flow based on main active area is used to solve the shortcomings of the existing researches in considering the difference of time slots. Taking Shanghai as an example, the spatial and temporal distribution of the people flow in different functional areas on weekdays and weekends is compared and analyzed. Finally, a stay point extraction algorithm based on grid which considers both space and time factors is proposed to study the daily mobility patterns of humans based on residence. The experimental results show that the algorithm can extract meaningful stay points for users more accurately and obtain more concise user mobility patterns.关键词
手机信令数据/时空分布/移动模式Key words
mobile phone signaling data/spatial and temporal distribution/mobility patterns分类
信息技术与安全科学引用本文复制引用
黄建华,孟伟强,吴飞霞..基于信令数据的人流时空分布和移动模式研究[J].计算机工程与应用,2019,55(23):53-63,11.
