基于云计算的城市轨道交通数据可视化方法及案例研究

针对城市轨道交通票卡数据流无法快速处理现状,基于云计算平台提出一种城市轨道交通大数据可视化分析方法。基于数据ID将城市轨道交通客流数据按时间段进行分表处理;基于客流关键字段建立索引数据集合并将必要客流数据字段放入对应的索引中;通过删除冗余、错误数据实现对数据筛选和清洗处理。利用ECharts中的JS插件对城市轨道交通客流数据进行可视化呈现。以JSP容器与Web服务器协同构建城市轨道交通数据可视化移动终端。以目标城市为例,对可视化系统进行验证。

VISUALIZATION AND CASE STUDY OF URBAN RAIL DATA BASED ON CLOUD COMPUTING

As the current situation that the ticket card data flow of urban rail can’t be processed rapidly,we propose a big data visualization analysis method of urban rail based on the cloud computing platform.The subway passenger flow data was divided into tables according to the time period based on the data ID;the index data set was established based on the key field of passenger flow,and the necessary passenger flow data field was put into the corresponding index;data selection and cleaning were realized by removing redundancy and error data;the JS plug-in of open source E-charts was used for the visualization design of subway passenger flow data;a metro data visualization mobile terminal was built with JSP container and Web server.Taking the target city as an example,the visualization system is validated.