Prediction of railroad track geometry change using a hybrid CNN-LSTM spatial-temporal model-Reference-Cited by-同舟云学术

Prediction of railroad track geometry change using a hybrid CNN-LSTM spatial-temporal model

Published:2023-10 Issue: Volume:58 Page:102235
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Wang Xin,Bai Yun^ORCID,Liu Xiang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference78 articles.

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4. Federal Railroad Administration (FRA), Exhibit A: Autonomous track assessment cars (ATACs) characteristics, (2020). https://www.regulations.gov/document/FRA-2020-0013-0002 (accessed January 17, 2023).

5. Recent applications of big data analytics in railway transportation systems: A survey;Ghofrani;Transport. Res Part c: Emerg. Technol.,2018

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