基于乘客行为的上车站点识别  

Identification of Boarding Station Based on Passenger Behavior

作　　者：张朝阳[1] 李学明[1] 

机构地区：[1]重庆大学计算机学院,重庆400044

出　　处：《现代计算机（中旬刊）》2017年第4期47-51,共5页Modern Computer

摘　　要：利用换乘信息识别乘客上车站点的算法,当乘客前后两次乘坐的公交线路不止一个交点时,可识别站点数量少,导致乘客上车站点识别准确率低。针对这一问题,提出基于乘客行为的上车站点识别:对IC刷卡数据进行分组,然后基于地铁换乘,确定部分乘客的上车站点,并将数据切分为多个子段,再通过公交换乘,确定部分数据组的上车站点。最后通过比例关系,得到所有IC刷卡数据组的上车站点。试验表明,该算法具有较高的准确率。Utilizes transfer to identify the boarding station of passengers, when there is more than one intersection of the two bus lines, the number of station can be identified less, resulting in the lower accuracy in identified boarding station of passengers. In order to solve this problem, proposes an algorithm for boarding station identification based on passenger behavior. First, the IC card data are grouped. Then, based on the metro transfer, the boarding stations of passengers are determined and the data is divided into multiple sub-segments. In addition, uses bus transfer to determine the boarding stations of some group. Finally, through the proportional relationship, gets all the boarding stations corresponding to IC card data group. The experimental results show that this method has a high accuracy.

关 键 词：公交IC刷卡数据 上车站点识别 数据挖掘 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]