地铁人流量预测

With the rapid development of society and the continuous expansion of the city scale, profound changes have taken place in the way of life of people. The subway has played an increasingly important role in the way of travel in big cities. Accurately predicting the real-time traffic of the subway could provide reference information for subway dispatch security.In this paper, by extracting the spatio-temporal feature of historical subway traffic data and training the subway passenger flow prediction model, the purpose of accurately predicting subway passenger flow is achieved. This prediction model can better fit the subway traffic flow and obtain good results with low time complexity.