Research on Short-Term Passenger Flow Prediction of LSTM Rail Transit Based on Wavelet Denoising

Research on Short-Term Passenger Flow Prediction of LSTM Rail Transit Based on Wavelet Denoising

Urban rail transit offers advantages such as high safety, energy efficiency, and environmental friendliness. With cities rapidly expanding, travelers are increasingly using rail systems, heightening demands for passenger capacity and efficiency while also pressuring these networks. Passenger flow fo...

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Bibliographic Details
Main Authors: Qingliang Zhao, Xiaobin Feng, Liwen Zhang, Yiduo Wang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Mathematics
Subjects:
rail transit short-term passenger flow prediction
LSTM
wavelet denoising analysis
SVR
Online Access:https://www.mdpi.com/2227-7390/11/19/4204

Internet

https://www.mdpi.com/2227-7390/11/19/4204

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