基于大规模出租车轨迹数据的驾驶员居住地挖掘

随着GPS、北斗等定位设备的民用化进程加速和移动终端设备的广泛普及，获取车辆和行人的出行轨迹变得越来越方便。由此产生的从大规模轨迹数据中挖掘人们感兴趣的知识成为当前一个难以突破的技术瓶颈。本文利用出租车轨迹数据，在并行计算平台Hadoop上实现了一种挖掘算法。该算法通过计算出租车活动半径的方法挖掘驾驶员居住地，实验结果表明本算法具有较高的准确率。

Mining the Residence of Taxi Drivers on Large-scale Track Data

With the fast-developing of GPS and Beidou for civil use and Mobile Terminal Device become more and more popular, the acquisition of track data is now quite easy, but deal with the big track data is a challenge we have to be faced with. This paper design a n-fining algorithm to mining the residence of taxi drivers with the taxi track data. the experiment result indicates that it has high performance.