Deep learning-based stop control method and system for high-speed train

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United States of America

PATENT NO 12060091
SERIAL NO

17477964

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Abstract

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The present disclosure provides a deep learning-based stop control method and system for a high-speed train, and relates to the technical field of rail transit management and control. The method includes: obtaining a training data set; establishing a convolutional neural network (CNN); training and optimizing the CNN by using the training data set, to obtain an optimized CNN; obtaining actual running data of a to-be-controlled train; inputting the actual running data into the optimized CNN to obtain a stop position of the to-be-controlled train; determining whether the stop position of the to-be-controlled train is 0; and if the stop position of the to-be-controlled train is 0, outputting a breaking command; or if the stop position of the to-be-controlled train is not 0, performing the step of “obtaining actual running data of a to-be-controlled train”. The present disclosure can ensure accurate stop of a high-speed train without high costs.

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Patent Owner(s)

Patent OwnerAddress
BEIJING JIAOTONG UNIVERSITYNO 3 SHANGYUAN VILLAGE XIZHIMENWAI HAIDIAN DISTRICT BEIJING BEIJING CITY BEIJING CITY 100000

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Li, Kaicheng Beijing, CN 2 0
Ning, Chenhe Beijing, CN 1 0
Su, Shuai Beijing, CN 20 62
Tang, Tao Beijing, CN 59 157
Yin, Jiateng Beijing, CN 1 0

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