Method on generating massive virtual driving curves for high-speed trains of the Cross-Taiwan Strait Railway and its statistical analysis-Reference-Cited by-同舟云学术

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Method on generating massive virtual driving curves for high-speed trains of the Cross-Taiwan Strait Railway and its statistical analysis

Published:2023-09-08 Issue:3 Volume:80 Page:4202-4225
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Zheng Xiaoyu,Chen Dewang,Lin Zhiming,Zhuang Liping,Zhao Wendi

Funder

National Natural Science Foundation of China

Special Fund for Education and Scientific Research of Fujian Provincial Department of Finance

Scientific Research Foundation of Fujian University of Technology

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05621-5.pdf

Reference40 articles.

1. Kim C-J, Lee M-J, Hwang K-H, Ha Y-G (2022) End-to-end deep learning-based autonomous driving control for high-speed environment. J Supercomput 78(2):1961–1982

2. Yin J, Tang T, Yang L, Xun J, Huang Y, Gao Z (2017) Research and development of automatic train operation for railway transportation systems: a survey. Transp Res Part C Emerg Technol 85:548–572

3. Ghofrani F, He Q, Goverde RM, Liu X (2018) Recent applications of big data analytics in railway transportation systems: a survey. Transp Res Part C Emerg Technol 90:226–246

4. Sangiorgio V, Mangini AM, Precchiazzi I (2020) A new index to evaluate the safety performance level of railway transportation systems. Safety Sci 131:104921

5. Ning B, Tang T, Gao Z, Yan F, Wang F-Y, Zeng D (2006) Intelligent railway systems in china. IEEE Intell Syst 21(5):80–83

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