基于时空聚类的出租车载客热点区域挖掘研究

针对出租车运营过程缺少路径优化指导造成运营能力分布不均、空载率高的问题,本文以成都市安装有GPS设备的出租车所采集的轨迹数据为研究对象,以提高出租车效益为目标,采用了一种基于网格的出租车载客热点聚类算法,通过对出租车GPS轨迹数据进行处理和聚类分析,充分挖掘出租车载客热点区域,从而为出租车的运营者和管理者提供信息决策服务。

Research on Taxi Pick-up Hotspots Based on Time and Space Cluster

The lack of path optimization guidance caused the problem of uneven distribution and high no-load ratein taxi operation.In consideration of this fact,this paper took taxis with the GPS terminal in Chengdu City as the research objects,uses a grid-based passenger behavior clustering algorithm.Through the passengers get off the case analyzed,we extracted Chengdu′s taxi pick-up hotspots area,so that we can provide information and decision service for taxi operators and managers.