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Stay and Trajectory Information from Historical Analysis of Telecommunications Data

机译:来自电信数据历史分析的停留和轨迹信息

摘要

Sequences of location data points can be broken down into travel periods and stay periods through historical analysis of location data points. The noise and inaccuracies of location data points gathered from communications networks, such as mobile telephony networks, makes it difficult to accurately estimate when a user has stayed or dwelled at a particular location. The stay analysis may generate clusters of sequential location coordinates and may identify data points that appear to show movement but are likely to be noise, which can be artifacts of the communications network. Further, stay or travel sequences may initially be defined using thresholds of time and distance. Such thresholds may vary from one location to another and may be gathered and optimized over time.
机译:通过对位置数据点的历史分析,可以将位置数据点的序列分为旅行期和停留期。从诸如移动电话网络之类的通信网络收集的位置数据点的噪声和不精确性使得难以准确估计用户何时停留或居住在特定位置。停留分析可以生成顺序位置坐标的聚类,并且可以识别似乎显示出运动但很可能是噪声的数据点,这可能是通信网络的伪像。此外,最初可以使用时间和距离的阈值来定义停留或旅行序列。这样的阈值可以从一个位置到另一位置变化,并且可以随着时间的流逝而被收集和优化。

著录项

  • 公开/公告号US2020107163A1

    专利类型

  • 公开/公告日2020-04-02

    原文格式PDF

  • 申请/专利权人 DATASPARK PTE LTD;

    申请/专利号US201816470237

  • 发明设计人 YING LI;THE ANH DANG;

    申请日2018-02-14

  • 分类号H04W4/029;H04W4/02;G06K9/62;G06F16/29;H04W4/80;

  • 国家 US

  • 入库时间 2022-08-21 11:19:40

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