Developing Train Station Parking Algorithms: New Frameworks Based on Fuzzy Reinforcement Learning
Joint Authors
Li, Wei
Xian, Kai
Yin, Jiateng
Chen, Dewang
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Train station parking (TSP) accuracy is important to enhance the efficiency of train operation and the safety of passengers for urban rail transit.
However, TSP is always subject to a series of uncertain factors such as extreme weather and uncertain conditions of rail track resistances.
To increase the parking accuracy, robustness, and self-learning ability, we propose new train station parking frameworks by using the reinforcement learning (RL) theory combined with the information of balises.
Three algorithms were developed, involving a stochastic optimal selection algorithm (SOSA), a Q-learning algorithm (QLA), and a fuzzy function based Q-learning algorithm (FQLA) in order to reduce the parking error in urban rail transit.
Meanwhile, five braking rates are adopted as the action vector of the three algorithms and some statistical indices are developed to evaluate parking errors.
Simulation results based on real-world data show that the parking errors of the three algorithms are all within the ±30cm, which meet the requirement of urban rail transit.
American Psychological Association (APA)
Li, Wei& Xian, Kai& Yin, Jiateng& Chen, Dewang. 2019. Developing Train Station Parking Algorithms: New Frameworks Based on Fuzzy Reinforcement Learning. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1169746
Modern Language Association (MLA)
Li, Wei…[et al.]. Developing Train Station Parking Algorithms: New Frameworks Based on Fuzzy Reinforcement Learning. Journal of Advanced Transportation No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1169746
American Medical Association (AMA)
Li, Wei& Xian, Kai& Yin, Jiateng& Chen, Dewang. Developing Train Station Parking Algorithms: New Frameworks Based on Fuzzy Reinforcement Learning. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1169746
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169746