摘要
在日常移动通信过程中,用户所接入的基站随着用户的位置移动而不断发生切换,产生了一系列的手机信令数据。信令数据中的接入基站位置可以在一定程度上代表手机用户的位置,反映手机用户的位置变化和活动规律。随着大数据技术的不断发展,可通过构建有效的手机用户交通出行特征识别算法,对移动通信过程中产生的海量手机信令数据,特别是信令数据中的基站位置变化特征进行采集分析,进而实现对城市居民交通出行特征的研究,研究结果可以为城市交通规划和交通管理提供科学的数据支持。
In the daily mobile communication process,the base station accessed by the user continuously switches as the user’s location moves,which generates a series of mobile phone signaling data.The access base station location in signaling data can represent the location of mobile phone users to some extent,reflecting the location change and activity rules of mobile phone users.With the continuous development of technology of data,by building effective mobile phone users transportation feature recognition algorithm,produce huge amounts of cell phone signal in the process of mobile data collection and analysis,especially in the signaling data base station position variation characteristics,and realize the analysis and research of the characteristics of urban transportation,the research results can provide urban traffic planning and traffic management with scientific data to support.
作者
周剑明
Zhou Jianming(Guangzhou Branch,China Unicom,Guangzhou Guangdong 510335,China)
出处
《信息与电脑》
2019年第23期14-16,共3页
Information & Computer
