Passenger Flow Forecasting in Metro Transfer Station Based on the Combination of Singular Spectrum Analysis and AdaBoost-Weighted Extreme Learning Machine

Passenger Flow Forecasting in Metro Transfer Station Based on the Combination of Singular Spectrum Analysis and AdaBoost-Weighted Extreme Learning Machine

The<b> </b>metro system plays an important role in urban public transit, and the passenger flow forecasting is fundamental to assisting operators establishing an intelligent transport system (ITS). The forecasting results can provide necessary information for travelling decision of trave...

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Bibliographic Details
Main Authors: Wei Zhou, Wei Wang, De Zhao
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
automatic fare collection system
passenger flow forecasting
time series decomposition
singular spectrum analysis
ensemble learning
extreme learning machine
Online Access:https://www.mdpi.com/1424-8220/20/12/3555

Internet

https://www.mdpi.com/1424-8220/20/12/3555

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