Reinforcement learning approach for coordinated passenger inflow control of urban rail transit in peak hours

2018 ◽  
Vol 88 ◽  
pp. 1-16 ◽  
Author(s):  
Zhibin Jiang ◽  
Wei Fan ◽  
Wei Liu ◽  
Bingqin Zhu ◽  
Jinjing Gu
Keyword(s):  
Reinforcement Learning ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Learning Approach ◽  
Urban Rail

scholarly journals Developing Train Station Parking Algorithms: New Frameworks Based on Fuzzy Reinforcement Learning

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Wei Li ◽  
Kai Xian ◽  
Jiateng Yin ◽  
Dewang Chen
Keyword(s):  
Reinforcement Learning ◽  
Learning Algorithm ◽  
Urban Rail Transit ◽  
Learning Ability ◽  
Rail Transit ◽  
Real World Data ◽  
Train Station ◽  
Q Learning ◽  
Fuzzy Function ◽  
Urban Rail

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.

Influence of Built Environment on Urban Rail Transit Connection Mode

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Zhao Gao ◽  
Min Yang ◽  
Guoqiang Li ◽  
Jinghua Tai
Keyword(s):  
Built Environment ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Rail

Study on Improvement of Urban Rail Transit Access Based on Pareto-IPA Model

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Yucheng Wang ◽  
Mo Chen ◽  
Zhi Dong ◽  
Liang Tian ◽  
Kuo Guan ◽  
...  
Keyword(s):  
Urban Rail Transit ◽  
Rail Transit ◽  
Urban Rail
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