计算机科学与探索 ›› 2014, Vol. 8 ›› Issue (2): 200-206.DOI: 10.3778/j.issn.1673-9418.1307010

• 人工智能与模式识别 • 上一篇    下一篇

手机轨迹中活动停驻点识别

杜润强1,黄佳进1+,钟  宁1,2,黄智生3   

  1. 1. 北京工业大学 国际WIC研究院,北京 100124
    2. 前桥工业大学 生命科学与信息系,日本 前桥 371-0816
    3. 阿姆斯特丹自由大学 知识表示和推理组,荷兰 阿姆斯特丹
  • 出版日期:2014-02-01 发布日期:2014-01-26

Stay Point Identification of Mobile Phone Trajectory

DU Runqiang1, HUANG Jiajin1+, ZHONG Ning1,2, HUANG Zhisheng3   

  1. 1. International WIC Institute, Beijing University of Technology, Beijing 100124, China
    2. Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi 371-0816, Japan
    3. Knowledge Representation and Reasoning Group, Vrije University Amsterdam, Amsterdam, The Netherlands
  • Online:2014-02-01 Published:2014-01-26

摘要: 针对现有停驻点的问题,将手机用户轨迹与背景地理信息相结合,并引入功能区概念,通过考虑用户在某一功能区域内的整体活动来判断用户是否在此停驻。通过对带有标签的模拟的手机轨迹数据进行实验,证明了新的停驻点识别方法有效地避免了由于正常切换、错误切换带来的误判。停驻点的判断更为宽泛,不仅限于一个小的范围(单个基站的覆盖范围),而是由多个相邻且功能相似小区组成的功能区中的小区集合。

关键词: 背景地理信息, 停驻点, 功能区

Abstract: In order to detect stay points from a user’s mobile phone trajectory, this paper makes use of the concept of a functional area to combine the trajectory of mobile phones with geographic information. By considering the user’s overall activities in a particular functional area, this method can identify whether a user stays or not, and avoid misjudgment due to a user’s normal switching and error switching. This method is more general because a stay point is a collection of cells in a continuous trajectory at a functional area instead of a small range covered by a single base station.

Key words: background geographic information, stay point, functional area