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一种手机定位数据的非运动数据聚类剔除方法
引用本文:蔡超,左小清,陈震霆. 一种手机定位数据的非运动数据聚类剔除方法[J]. 交通与计算机, 2010, 28(4): 60-63
作者姓名:蔡超  左小清  陈震霆
作者单位:[1]昆明理工大学国土资源工程学院,昆明650093 [2]昆明冶金高等专科学校计算机信息学院,昆明650033
摘    要:
从手机定位数据中获取道路交通信息效果并不如人意,其中手机定位数据中包含了大量的"噪声"是一个重要原因。以某区域的手机定位数据为基础,根据蜂窝网基站的点数据,创建了与之对应的泰森多边形;采用空间邻近关系聚类的方法,对手机定位数据的非运动数据进行了剔除。实验结果表明,该方法可以有效地解决上述问题。

关 键 词:手机定位  空间邻近关系  聚类算法  ArcEngine

A Cluster Method of Eliminating No-movement Data in Mobile Phone Location Data
CAI Chao,ZUO Xiaoqing,CHEN Zhenting. A Cluster Method of Eliminating No-movement Data in Mobile Phone Location Data[J]. Computer and Communications, 2010, 28(4): 60-63
Authors:CAI Chao  ZUO Xiaoqing  CHEN Zhenting
Affiliation:,(Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming 650093,China)1(Faculty of computer information,Kunming Metallurgy College,Kunming 650033,China)2
Abstract:
Getting traffic information from the mobile phone location data does not meet people's requirements.One of the most important reason is that there are a lot of "noises" in the mobile phone location data.In this paper,first of all,the mobile phone location data and the cellular base stations data in a region are used as the basic data to create the Thiessen polygons.Then,the cluster method is used based on the spatial neighborhood relationship to reasonably eliminate the no-movement data.The experiment result shows that the method is effective and useful.
Keywords:mobile phone location  spatial neighborhood relationship  cluster analysis  ArcEngine
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