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7 March 2022 An automatic train operation algorithm based on double Q-learning
Xiaoguang Sun, Kun Jiang
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Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 121672V (2022) https://doi.org/10.1117/12.2628544
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China
Abstract
This paper proposes an intelligent automatic train operation (ATO) algorithm based on double Q-learning to solve the problem of metro vehicles traction and braking difference and aging in order to ensure the accuracy of metro vehicles stropping to achieve the alignment between vehicles and platform doors which is required in most metro lines.
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Xiaoguang Sun and Kun Jiang "An automatic train operation algorithm based on double Q-learning", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 121672V (7 March 2022); https://doi.org/10.1117/12.2628544
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KEYWORDS
Detection and tracking algorithms
Control systems
Vehicle control
Computer simulations
Operational intelligence
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