一种基于手机大数据的地铁换乘客流挖掘方法研究

Research on A Method of Mining Metro Transfer Passenger Flow Based on Big Data of mobile

本文提出了一种利用手机大数据进行换乘客流挖掘的方法。本方法考虑了地铁网络的拓扑结构,结合图论相关原理,阐释了地铁出行路径的识别算法。最后以上海曹杨路-漕河泾区段为例,通过志愿者调查系统进行了换乘数据验证。结果证明,此方法得出的换乘量与实际换乘量偏差较小。

Therefore, in this paper a method of mining transfer passenger flow base on big data of mobile is presented. It has taken into account topology structure of metro transit network combine with necessary knowledge of graph theory, expounding identification algorithm of trip route in metro network. At last, paper takes the sector between Caoyang Road and Caohejing as an example, verifying transfer data by volunteer investigation system. The results show that the method has a good performance in illustrating the actual transfer passenger flow.