摘要
公交客流的整体分析对于公交运营效率和公交线网规划的合理性具有重要指导意义。本文对公交车IC卡海量刷卡数据进行分析,借助redis内存高吞吐的特性对刷卡设备上的重复刷卡数据进行清洗去重,根据所属区域的经纬度范围选取合适的参数,对刷卡设备记录的经纬度进行转换,结合GIS记录的站点坐标,根据距离寻找刷卡站点。同时,使用刷卡时间并结合车辆的调度信息,进一步计算刷卡站点。运行结果表明,该算法能够准确统计出刷卡站点的刷卡量,进而分析出各线路的客流特征和出行规律。
The overall analysis of bus passenger flow has important guiding significance for the efficiency of bus operation and the rationality of bus network planning.This article analyze the bus IC card massive credit card data,the characteristics of high throughput by using redis memory card equipment to double charge data cleaning to heavy,select appropriate parameters according to the scope of the area of latitude and longitude,latitude and longitude of the credit card equipment's record,combined with GIS coordinate site,according to the distance to find credit card site.At the same time,the swiping station is further calculated by using the swiping time combined with the vehicle scheduling information.The running results show that the algorithm can accurately calculate the amount of swiping stations,and then analyze the characteristics of passenger flow and travel rules of each line.
作者
孙健
李少彬
Sun Jian;Li Shaobin(Nanjing Public Transportation(Group)Co.LTD.,Nanjing 210037)
出处
《城市公共交通》
2022年第1期33-38,共6页
Urban Public Transport
