Intelligent Positioning Approach for High Speed Trains Based on Ant Colony Optimization and Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Intelligent Positioning Approach for High Speed Trains Based on Ant Colony Optimization and Machine Learning Algorithms

Published:2019-10 Issue:10 Volume:20 Page:3737-3746
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Cheng Ruijun^ORCID,Song Yongduan,Chen Dewang^ORCID,Ma Xiaoping^ORCID

Funder

National Natural Science Foundation of China

Start Project for Minjiang Chair Professor by Fujian Province

Fuzhou University

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/8855041/08527682.pdf?arnumber=8527682

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. OTFS-Based Proactive Dynamic UAV Positioning for High-Speed Train Coverage;IEEE Open Journal of the Communications Society;2024

2. A Safe Vision Method for Train Positioning;Lecture Notes in Electrical Engineering;2024

3. Multi-Objective Optimization for High-Speed Railway Network Based on “Demand–Supply–Management” Model;Applied Sciences;2023-10-17

4. Architecture, Technologies, and Applications of Location-Based Services;Mobile Information Systems;2023-07-28

5. Integrated Position and Speed Control for Rail Transit Doors Based on Speed-Current Loop;IEEE Transactions on Industry Applications;2023-07

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