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The Research of Urban Rail Transit Sectional Passenger Flow Prediction Method 被引量:1
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作者 Qian Li Yong Qin +4 位作者 Ziyang Wang Zhongxin Zhao minghui zhan Yu Liu Zhiguo Li 《Journal of Intelligent Learning Systems and Applications》 2013年第4期227-231,共5页
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 ... 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. 展开更多
关键词 URBAN RAIL TRANSIT NEURAL Network Sectional PASSENGER FLOW Prediction Method
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