为了能够应用公交IC卡数据分析公交乘客的出行特征,对判断公交IC卡乘客上车站点的方法进行研究.以南宁市智能公交系统为例,采集公交IC卡收费系统和公交智能调度系统的运营数据,应用数据仓库技术建立智能公交数据分析平台.通过将智能调度系统数据与公交IC卡收费系统数据进行关联,判断公交IC卡乘客的上车站点,对提出的方法进行精度分析和算法实现,并应用海量的智能公交系统实际数据对算法进行了试验.研究结果表明,本文提出的方法判断公交乘客上车站点的准确率达到98％以上,算法效率满足实际应用需要,该方法能够用于公交系统的规划和管理工作.%To apply smart card data to the analysis of bus passengers' travel characteristics. The paper proposes the method to identify the boarding stops of smart card passengers. Taking the advanced public transportation systems ( APTS) of Nanning city in China as an example, the paper collects the operation data of automatic fare collection system and intelligent dispatching system. Then, it establishes APTS data analysis platform applying data warehouse technology. The paper also presents the method of identifying boarding stop by matching the data of intelligent dispatching system and automatic fare collection system. The accuracy of the method is analyzed and the algorithm is illustrated. Finally, the algorithm is tested on mass field data. The results show that the accuracy of identifying boarding stops of smart card passengers reaches more than 98% , the algorithm efficiency meets the requirements of practical application, and the method can be used for the planning and management of public transportation system.
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