Qian Li, Yong Qin, Zi-yang Wang, Z. Zhao, Minghui Zhan, Yu Liu, Zhiguo Li
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The Research of Urban Rail Transit Sectional Passenger Flow Prediction Method
This paper studies the short-term prediction methods of sectional passenger flow, and selects BP neural network combined with the characteristics of sectional passenger flow itself. With a case study, we design three different schemes. We use Matlab to realize the prediction of the sectional passenger flow of the Beijing subway Line 2 and make comparative analysis. The empirical research shows that combining data characteristics of sectional passenger flow with the BP neural network have good prediction accuracy.
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