一种基于地理信息的手机用户定位方法

A method of mobile phone user positioning based on geographic information

基于手机信令数据的用户轨迹行为分析已广泛应用于交通监测、城市管理、人口分析等多个业务领域。针对手机基站定位与用户实际位置存在偏差且驻留轨迹缺失语义信息的问题,本文提出了一种基于地理信息的手机信令数据用户定位方法。该方法首先构建面向轨迹分析的地理实体数据采集规范;然后对手机信令数据进行聚类,建立地理实体与基站的权重映射关系;最后使用时空推理及对轨迹的深度学习技术,将用户有效驻留轨迹点拟合至实际的地理实体,实现用户定位。验证结果表明,该方法提升了用户定位的准确度,为后续业务场景的应用提供了可靠的数据支撑。

User trajectory behavior analysis based on mobile phone signaling data has been widely used in many business fields such as traffic monitoring,urban management,and population analysis.Aiming at the shortcomings of mobile phone base station positioning deviation and lack of semantic information,this paper proposes a positioning method based on geographic information.Firstly,we construct the specification of geographic entity data,then establish the weight mapping relationship between geographic entities and base stations by clustering the mobile phone signaling data,and fit the user trajectory to the actual geographic entity using spatiotemporal reasoning and deep learning technology,and finally realize the method.The verification results show that this method improves the accuracy of user positioning and provides reliable data support for the application of subsequent business scenarios.