Toward the Trajectory Predictor for Automatic Train Operation System Using CNN–LSTM Network

Toward the Trajectory Predictor for Automatic Train Operation System Using CNN–LSTM Network

The accurate trajectory of the train ahead with more dynamic behaviour, such as train position, speed, acceleration, etc., is the critical issue of virtual coupling for future railways, which can drastically reduce their headways and increase line capacity. This paper presents an integrated convolut...

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Bibliographic Details
Main Authors: Yijuan He, Jidong Lv, Hongjie Liu, Tao Tang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Actuators
Subjects:
deep learning
CNN–LSTM model
virtual coupling
spatiotemporal data mining
Online Access:https://www.mdpi.com/2076-0825/11/9/247

Internet

https://www.mdpi.com/2076-0825/11/9/247

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