Analysis of subway passenger flow based on smart card data

Yi Wang, Weilin Zhang, Fan Zhang, Ling Yin, Jun Zhang, Chen Tian, Wei Jiang

Abstract: In recent years, local governments have paid more and more attention to the construction of urban rail transit represented by subways. The subway can greatly improve the ground traffic congestion in the city and the urban traffic environment, making people's travel more convenient. The analysis and accurate prediction of subway passenger flow has always been one of the key tasks of urban rail transit management departments. Especially in the context of the rapid growth of rail transit capacity and the changing needs of passengers, the need for passenger flow analysis is even more significant. This article completes the analysis of Shenzhen's subway passenger flow through big data analysis. It is of great significance to solve urban congestion, optimize the traffic network, and protect public transportation.