Recently, the urban rail transit enters the era of network operation and there may be multiple paths between two stations for passengers to choose. This paper takes Nanjing metro as an example, based on the historical data of AFC system. Based on the historical data of AFC system, the OD passenger flow of each period is allocated to the effective path set by combining clustering analysis method and attraction coefficient method. By iterating the passenger flow in each section of the urban rail transit network, the real-time estimation of cross-section passenger flow is realized.

CICTP