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2018 | OriginalPaper | Chapter

Predicting the Metro Passengers Flow by Long-Short Term Memory

Authors : Zhen Hu, Yi Zuo, Zhuyin Xue, Wenting Ma, Guilin Zhang

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

In this paper, LSTM is proposed to predict metro passengers flow to avoid traffic jams for the city governors. The model is validated by manual counted data and the results show that LSTM can report an instructive prediction.

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Metadata
Title
Predicting the Metro Passengers Flow by Long-Short Term Memory
Authors
Zhen Hu
Yi Zuo
Zhuyin Xue
Wenting Ma
Guilin Zhang
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-7604-6

Electronic ISBN: 978-981-10-7605-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7605-3_97