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JUST技术:驻留点应用及经典检测算法解析

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"随着定位技术的不断普及,嵌入在手机和PDA设备内的GPS、北斗等位置传感器周期性地记录移动对象的位置,从而产生了海量的轨迹数据。用户为分享行程可能主动记录自己的轨迹,物流派送车、出租车、共享私家车等由于运营监管的需要可能被动地记录轨迹位置信息。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"这些轨迹数据背后的想象空间极大。利用轨迹数据,我们可以用来估计全城的车流量、通行时间、补全现有地图等等。而为实现这些应用,我们通常会对轨迹数据进行预处理,剔除掉一些时间连续且空间上非常临近的点(下文简称驻留点),因为驻留点会影响上述应用的精确度。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"然而,这些被丢掉的驻留点也隐含了丰富的信息。利用检测得到的驻留点,如图1所示,我们可以进行事件分析、地点发现、序列挖掘等等。本文,我们将带大家探索驻留点背后的故事,以及介绍一些经典的驻留点检测算法。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/e6\/fe\/e6b205fa91779254e19a2c74a66759fe.png","alt":null,"title":"","style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":"center","origin":null},"content":[{"type":"text","text":"图1 轨迹驻留点的检测及应用"}]},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"一、 驻留点应用"}]},{"type":"heading","attrs":{"align":null,"level":3},"content":[{"type":"text","text":"1.事件分析"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"移动对象往往会因为某些事件而停留,比如车辆会因为加油而停留、快递员因为配送而停留等等。通过分析移动对象在特定POI(兴趣点)驻留的时长和时间,我们可以分析POI的特性,助力决策。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}}]}

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