Train Station Parking Approach Based on Fuzzy Reinforcement Learning Algorithms

Train station parking (TSP) accuracy is important to enhance the efficiency of train operation and the safety of passengers for urban rail transit, while TSP is always subject to a series of uncertain factors. To increase the parking accuracy, robustness and self-learning ability, we propose a new t...

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Bibliographic Details

Published in:	IEEE International Conference on Control and Automation (Print) pp. 1411 - 1416
Main Authors:	Yin, Jiateng, Su, Shuai, Li, Kaicheng, Tang, Tao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2019
Subjects:	Adaptation models Computational modeling fuzzy function Q-learning Rails Reinforcement learning Resistance Safety Silicon Train station parking
ISSN:	1948-3457
Online Access:	Get full text
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