Adaptive Metro Service Schedule and Train Composition With a Proximal Policy Optimization Approach Based on Deep Reinforcement Learning

Cheng-shuo Ying, Andy H. F. Chow, Yi-Hui Wang, Kwai-Sang Chin. Adaptive Metro Service Schedule and Train Composition With a Proximal Policy Optimization Approach Based on Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems, 23(7):6895-6906, 2022. [doi]

@article{YingCWC22,
  title = {Adaptive Metro Service Schedule and Train Composition With a Proximal Policy Optimization Approach Based on Deep Reinforcement Learning},
  author = {Cheng-shuo Ying and Andy H. F. Chow and Yi-Hui Wang and Kwai-Sang Chin},
  year = {2022},
  doi = {10.1109/TITS.2021.3063399},
  url = {https://doi.org/10.1109/TITS.2021.3063399},
  researchr = {https://researchr.org/publication/YingCWC22},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Intelligent Transportation Systems},
  volume = {23},
  number = {7},
  pages = {6895-6906},
}