标题
A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy
作者
关键词
-
出版物
IEEE Transactions on Industrial Informatics
Volume 19, Issue 7, Pages 7885-7893
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2022-08-03
DOI
10.1109/tii.2022.3195888
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A little bit flexibility on headway distribution is enough: Data-driven optimization of subway regenerative energy
- (2021) Xiang Li et al. INFORMATION SCIENCES
- An eco-driving algorithm for trains through distributing energy: A Q-Learning approach
- (2021) Qingyang Zhu et al. ISA TRANSACTIONS
- Energy‐efficient train operation with steep track and speed limits: A novel Pontryagin's maximum principle‐based approach for adjoint variable discontinuity cases
- (2021) Peiran Ying et al. IET Intelligent Transport Systems
- Real-Time Energy-Efficient Driver Advisory System for High-Speed Trains
- (2021) Zhuang Xiao et al. IEEE Transactions on Transportation Electrification
- A multi-objective algorithm for train driving energy reduction with multiple time targets
- (2020) Adrián Fernández-Rodríguez et al. ENGINEERING OPTIMIZATION
- Energy-Efficient Speed Profile Optimization and Sliding Mode Speed Tracking for Metros
- (2020) Xiaowen Wang et al. Energies
- Energy-efficient train control using nonlinear bounded regenerative braking
- (2020) Gerben M. Scheepmaker et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids
- (2020) Hwei-Ming Chung et al. IEEE Transactions on Industrial Informatics
- Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm
- (2020) Jingda Wu et al. IEEE Transactions on Industrial Informatics
- Intelligent Traffic Control System Based on Cloud Computing and Big Data Mining
- (2019) Mu Shengdong et al. IEEE Transactions on Industrial Informatics
- An Energy-Efficient Train Operation Approach by Integrating the Metro Timetabling and Eco-Driving
- (2019) Shuai Su et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Shared Control Driver Assistance System Based on Driving Intention and Situation Assessment
- (2018) Mingjun Li et al. IEEE Transactions on Industrial Informatics
- Train Speed Trajectory Optimization With On-Board Energy Storage Device
- (2018) Chaoxian Wu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Review of energy-efficient train control and timetabling
- (2017) Gerben M. Scheepmaker et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- The key principles of optimal train control—Part 1: Formulation of the model, strategies of optimal type, evolutionary lines, location of optimal switching points
- (2016) Amie Albrecht et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- The key principles of optimal train control—Part 2: Existence of an optimal strategy, the local energy minimization principle, uniqueness, computational techniques
- (2016) Amie Albrecht et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Intelligent Train Operation Algorithms for Subway by Expert System and Reinforcement Learning
- (2014) Jiateng Yin et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Local energy minimization in optimal train control
- (2009) P.G. Howlett et al. AUTOMATICA
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