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Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning.

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Title: Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning.
Authors: Huang Y; College of Computer and Data Science, Minjiang University, Fuzhou, Fujian, China., Lai W; Digital Banking Laboratory of Industrial and Commercial Bank of China Software Development Center, Zhuhai, Guangdong, China., Chen D; School of Transportation, Fujian University of Technology, Fuzhou, Fujian, China.; Fujian BeiDou Navigation and Intelligent Transportation Collaborative Innovation Center, Fuzhou, Fujian, China., Lin G; College of Computer and Data Science, Minjiang University, Fuzhou, Fujian, China., Yin J; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China.
Source: PloS one [PLoS One] 2025 May 21; Vol. 20 (5), pp. e0323478. Date of Electronic Publication: 2025 May 21 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Huang+Y%22">Huang Y</searchLink>; College of Computer and Data Science, Minjiang University, Fuzhou, Fujian, China.<br /><searchLink fieldCode="AU" term="%22Lai+W%22">Lai W</searchLink>; Digital Banking Laboratory of Industrial and Commercial Bank of China Software Development Center, Zhuhai, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Chen+D%22">Chen D</searchLink>; School of Transportation, Fujian University of Technology, Fuzhou, Fujian, China.; Fujian BeiDou Navigation and Intelligent Transportation Collaborative Innovation Center, Fuzhou, Fujian, China.<br /><searchLink fieldCode="AU" term="%22Lin+G%22">Lin G</searchLink>; College of Computer and Data Science, Minjiang University, Fuzhou, Fujian, China.<br /><searchLink fieldCode="AU" term="%22Yin+J%22">Yin J</searchLink>; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2025 May 21; Vol. 20 (5), pp. e0323478. <i>Date of Electronic Publication: </i>2025 May 21 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE
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        Value: 10.1371/journal.pone.0323478
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