基于云计算的地铁大数据分析方法研究
An analysis method of subway big data based on cloud computing

提出一种基于云计算的地铁大数据分析方法，将地铁大数据的处理分析划分为数据读取、数据存储、数据清洗、数据分析和数据可视化5个阶段，数据分析主要以车站客流规模情况、乘客出行时间情况等为例进行说明。并以阿里云计算服务大数据平台为工具，测试云计算技术与传统数据库的运算效率，证明云计算具有处理速度快和不占用本地资源的优点。最后，以成都地铁AFC 1周刷卡数据为案例，对比实际情况与数据分析所得结论，验证了所提出的大数据分析方法具有较好的普适性，对于今后的地铁大数据分析研究有很好的借鉴意义。
This paper proposed an analysis method of subway big data based on cloud computing, which divided the rail transit big data analysis into data acquisition, data cleaning, data analysis and data visualization in five stages, and station passenger flow, passenger travel time were included in data analysis contents as an example. Ali cloud computing services platform for big data was used as a tool to test the efficiency between cloud computing technology and traditional database, which proves that cloud computing has many advantages in speed and occupation of local resources. Finally, a case study was carried out based on the Chengdu subway AFC card data, the proposed method has good universality verified through the comparative analysis of data and actual situation, there is a good reference for subway big data analysis and research in the future