The invention discloses a card swiping data deep mining-based bus passenger getting-off station prediction method. The method comprises the following steps of S1, constructing a bus data analysis database; s2, data cleaning: cleaning card swiping records in the database in the step S1, and removing invalid data and abnormal data; s3, identifying and marking the card swiping record of the passenger, and moving all data marked as the card swiping record into a card swiping database; s4, passenger getting-on station matching; and S5, bus passenger getting-off station prediction. According to the method, identification of passenger card swiping behaviors, station function types and deep comprehensive utilization of getting-on card swiping information are considered, identification of getting-off stations of passengers is finer, the success rate and accuracy of identification of getting-off stations of certain types of passengers can be improved, and obtained data and an established OD matrix are more reasonable. The method is simple in recognition process, easy to operate, low in use cost and good in practicability, accuracy and generalizability.

    本发明公开了一种基于刷卡数据深度挖掘的公交乘客下车站点预测方法,包括如下步骤:S1、构建公交数据分析数据库;S2、数据清洗:对步骤S1数据库中的刷卡记录进行清洗,剔除无效数据和异常数据;S3、乘客代刷卡记录识别与标记,并将所有标记为代刷记录的数据移入代刷数据库;S4、乘客上车站点匹配;S5、公交乘客下车站点预测。本发明方法考虑了乘客代刷行为、站点功能类型的识别以及对上车刷卡信息的深度综合利用,对于乘客下车站点的识别将更加的精细,可以提高某些类型乘客的下车站点识别成功率与准确率,得到的数据和建立的OD矩阵将更加合理。本发明识别过程简单,易于操作,且使用成本低,有着较好的实用性、准确性及可推广性。


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    Title :

    Bus passenger getting-off station prediction method based on card swiping data deep mining


    Additional title:

    一种基于刷卡数据深度挖掘的公交乘客下车站点预测方法


    Contributors:
    SHI ZHUANGBIN (author) / HE MINGWEI (author) / ZHONG YU (author) / LIU YANG (author) / ZHANG BIN (author)

    Publication date :

    2022-08-09


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES




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