已经得到个称赞 给我点赞
- 电子邮箱：qiany@uestc.edu.cn
- 入职时间：2000-07-01
- 所在单位：经济与管理学院
- 学历：博士研究生毕业
- 办公地点：Room C217, SEM Building, Qingshuihe Campus, UESTC
- 性别：女
- 联系方式：qiany@uestc.edu.cn
- 学位：管理学博士学位
- 职称：教授
- 在职信息：在职人员
- 毕业院校：电子科技大学
- 博士生导师
- 曾获荣誉：四川省科技进步奖一等奖，电子科技大学“成电创新教学示范奖”，优秀硕士学位论文指导教师奖。
- 学科：管理科学与工程
Human mobility discovering and movement intention detection with GPS trajectories
- 点击次数：
- 所属单位：[1]Univ Elect Sci & Technol China, Sch Management & Econ, Chengdu 610054, Peoples R China;[2]Renmin Univ China, Sch Informat Resource Management, Beijing 100872, Peoples R China
- 发表刊物：DECISION SUPPORT SYSTEMS
- 关键字：Stationary sub-trajectory; Clustering; Path network; Movement intention
- 摘要：In this paper, we aim to mine the interesting locations and the frequent travel sequences in a given geo-spatial region, by taking into account the users' historic travel experiences as well as the correlation between locations. First, a new partition method is proposed to divide the trajectories into a set of line segments (which contains the stationary moving sequence), the start and end points of which are collected as characteristic points. Then some common clustering methods are introduced to cluster the geographical-similar endpoints into groups for fixed territories detecting reason. Finally an abstract path network is generated which shows the link relations between the mined fixed territories. The proposed method can be used to detect a user's frequent movement paths as well as fixed territories for a better personalized geographical recommendation. (C) 2013 Elsevier B.V. All rights reserved.
- 文献类型：Article
- 卷号：63
- 页面范围：39-51
- ISSN号：0167-9236
- 是否译文：否