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...
Main Authors: | Yijuan He, Jidong Lv, Hongjie Liu, Tao Tang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
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Series: | Actuators |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-0825/11/9/247 |
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