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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Detecting Stay Areas from a User’s Mobile Phone Data for Urban Computing
verfasst von : Hui Wang, Ning Zhong, Zhisheng Huang, Jiajin Huang, Erzhong Zhou, Runqiang Du
Erschienen in: Active Media Technology
Verlag: Springer International Publishing
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Nowadays, mobile phones are often used as an attractive option for large-scale sensing of human behavior, providing a source of real and reliable data for urban computing. As it is known to all, a user’s behavior often happened at some places where the user stayed over a certain time interval for a trip. For understanding a user’s behavior effectively, we need to detect the places where the user stayed over a certain time interval and we call these places stay areas. In this paper, we propose a method for detecting the stay areas from a user’s mobile phone data. The proposed method can tackle the complicated situations that the general method cannot deal with effectively. Through experimental evaluation, the proposed method is shown to deliver excellent performance.