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。
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.
出处
《交通信息与安全》
2010年第4期60-63,共4页
Journal of Transport Information and Safety
基金
国家自然科学基金项目(批准号:41061043)资助
