The invention relates to a trip mode identification method and system based on mobile phone signaling data. The trip mode identification method comprises the following steps: acquiring mobile phone triangular positioning data in a to-be-analyzed area within a period of time; screening out vehicle-mounted mobile phone user data running in an actual road, and forming a running track of a vehicle-mounted mobile phone user; using the area difference value between the tracks of the vehicle-mounted mobile phone users as input, performing support tree pruning by a minimum support tree algorithm to form a clustering result; and regarding the number of the vehicle-mounted mobile phone users of the same type in the clustering result as travelers taking the same vehicle at the same time, and identifying the travel mode of the vehicle-mounted mobile phone users as independent travel, shared travel or bus travel. The minimum support tree clustering method based on the graph theory is innovatively provided for the screened vehicle-mounted mobile phone users, and travel mode division can be accurately carried out according to the positioning tracks of the vehicle-mounted mobile phone users.
本发明涉及一种基于手机信令数据的出行方式识别方法及系统,获取一段时间内待分析区域中的手机三角定位数据;筛选出实际道路中运行的车载手机用户数据,形成车载手机用户的运行轨迹;以各个车载手机用户的轨迹之间的面积差值作为输入,通过最小支撑树算法来进行支撑树剪枝,形成聚类结果;将聚类结果中同一类的车载手机用户数看作同时乘坐同一辆车的出行者,识别车载手机用户的出行模式为单独出行,共享出行或公交出行。本发明针对所筛选出的车载手机用户,创新性的提出了基于图论的最小支撑树聚类方法,能够依据车载手机用户的定位轨迹比较准确的进行出行方式划分。
Trip mode identification method and system based on mobile phone positioning data
基于手机定位数据的出行方式识别方法及系统
2022-01-11
Patent
Elektronische Ressource
Chinesisch
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