吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (6): 1764-1770.doi: 10.13229/j.cnki.jdxbgxb201406035

• 论文 • 上一篇    下一篇

基于GPS轨迹的规律路径挖掘算法

何雯1, 2, 李德毅1, 2, 安利峰1, 张天雷1, 郭沐1, 陈桂生2   

  1. 1.清华大学 计算机科学与技术系,北京100084;
    2.中国电子系统工程研究所,北京 100840
  • 收稿日期:2013-04-27 出版日期:2014-11-01 发布日期:2014-11-01
  • 通讯作者: 李德毅(1944-),男,研究员.研究方向:不确定人工智能,智能交通,网络数据挖掘,云计算.E-mail:lidy@cae.cn
  • 作者简介:何雯(1982-),女,博士研究生.研究方向:智能交通,空时数据挖掘.E-mail:
  • 基金资助:

    国家自然科学基金重点项目(91120306,90920305)

Regular route mining algorithm based on GPS trajectories

HE Wen1, 2, LI De-yi1, 2, AN Li-feng1, ZHANG Tian-lei1, GUO Mu1, CHEN Gui-sheng2   

  1. 1.Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;
    2.Institute of Electronic System Engineering of China, Beijing 100840, China
  • Received:2013-04-27 Online:2014-11-01 Published:2014-11-01

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摘要：

基于用户的历史轨迹数据,对用户的规律路径进行挖掘和提取。在轨迹预处理和聚类的基础上,定义了支撑路径的概念,提出了一种基于支撑得分的规律轨迹挖掘算法。并通过规律停止率特征,提高了对轨迹交通模式识别的准确率。基于178名用户4年的GPS轨迹记录,以及37名用户的实际轨迹数据,开展了用户试验。结果表明,本文算法能够有效地提取用户的规律路径,并对路径中的干扰具有一定的鲁棒性。

关键词: 人工智能, 轨迹挖掘, 规律路径, 交通模式, 位置服务

Abstract:

Based on users' historical trajectory data, users' regular routes were mined and extracted. A concept of support route was defined after route pre-processing and grouping. A regular route mining algorithm was proposed based on the support score. A feature of Regular Stop Rate (RSR) was used to improve the accuracy of the transportation mode recognition. The effectiveness of the approach was validated based on the GPS data of 178 users over four years. A real user study was also performed among 37 users. The experiment results demonstrate that the algorithm can effectively extract the regular routes and is robust to slight disturbance in trajectory data.

Key words: artificial intelligent, trajectory mining, regular routes, transportation mode, location based service

中图分类号: 

  • TP18
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