The Research of Urban Rail Transit Sectional Passenger Flow Prediction Method

• 作者: Minghui Zhan Qian Li Yong Qin Yu Liu Zhiguo Li Zhongxin Zhao Ziyang Wang
• 来源期刊: 智能学习系统与应用(英文)
• 学科: 数学
• 关键词: URBAN RAIL TRANSIT NEURAL Network Sectional PASSENGER FLOW Prediction Method
• 年，卷（期）: 2013,（4）
• 页码范围: 227-231
• 页数: 5页
• 分类号: O1

摘要

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.