RNN-Based Subway Passenger Flow Rolling Prediction

RNN-Based Subway Passenger Flow Rolling Prediction

The subway station passenger flow prediction model can forecast passenger volume in the future. This model helps to carry out safety warnings and evacuation of passenger flow in advance. Based on the data of the Shanghai traffic card, the passenger volume in all the time intervals is clustered into...

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Bibliographic Details
Main Authors: Shouwei Sha, Jing Li, Ke Zhang, Zifan Yang, Zijian Wei, Xueyan Li, Xin Zhu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Data analysis
time series analysis
predictive models
neural networks
LSTM
GRU
Online Access:https://ieeexplore.ieee.org/document/8951085/

Internet

https://ieeexplore.ieee.org/document/8951085/

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