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为应用智能公交系统数据获得公交乘客的换乘信息,采集公交智能调度系统和公交自动收费系统数据,对原始数据结构和数据质量进行分析,应用数据仓库技术完成原始数据组织;在对公交乘客换乘站点判断思路和参数计算方法研究的基础上,提出了通过计算逐个乘客连续2次乘车的合理换乘时间来判断换乘站点的方法,构建了实现算法并进行编程,最后以南宁市智能公交系统的海量实际数据对算法进行了试验分析。研究结果表明:该方法将公交GPS数据与站点坐标进行匹配,能够可靠计算出换乘判断阈值,乘客车内时间及等候时间的计算误差均小于60s;该方法用于判别2次公交乘车是否属于换乘行为,并同时确定出换乘的站点和换乘的时间,与传统方法采用统一阈值判断换乘相比,准确性得到了大幅度的提高。
In order to obtain the transfer information of bus passengers for the application of intelligent bus system data, the bus intelligent dispatching system and bus automatic toll collection system data are collected, the original data structure and data quality are analyzed, and the original data organization is completed by using data warehouse technology. On the basis of the research on the method of site judgment and the calculation of parameters, a method to determine the transfer station by calculating the reasonable transfer times for passengers who ride two passengers in succession for two consecutive months is proposed. The algorithm for realizing transfer is constructed and programmed. Finally, The mass data of the bus system has carried on the test analysis to the algorithm. The results show that this method can match the bus GPS data with the site coordinates, and can reliably calculate the transfer decision threshold, the calculation error of passenger car time and waiting time is less than 60s. This method is used to determine whether the second bus ride Belong to the transfer behavior, and at the same time determine the transfer of the site and transfer time, compared with the traditional method of using a unified threshold to determine the transfer compared to the accuracy has been greatly improved.