Short-Term Passenger Flow Prediction Based on Wavelet Transform and Kernel Extreme Learning Machine

Short-Term Passenger Flow Prediction Based on Wavelet Transform and Kernel Extreme Learning Machine

In view of the instability and complexity of passenger flow change in urban rail transit, it is the key and the difficult point to use the prediction model to get more accurate number of short-term passenger flow. In view of this, this study proposes a hybrid forecasting model W-KELM, which combines...

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Bibliographic Details
Main Authors: Ruijian Liu, Yuhan Wang, Hong Zhou, Zeqiang Qian
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Urban rail transit
wavelet transform
kernel extreme learning machine
short-term passenger flow prediction
Online Access:https://ieeexplore.ieee.org/document/8886396/

Internet

https://ieeexplore.ieee.org/document/8886396/

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