A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System

Boyu Li 0003, Ting Guo, Ruimin Li, Yang Wang 0002, Amir H. Gandomi, Fang Chen 0001. A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System. In João Gama 0001, Tianrui Li 0001, Yang Yu 0001, Enhong Chen, Yu Zheng, Fei Teng 0001, editors, Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III. Volume 13282 of Lecture Notes in Computer Science, pages 147-160, Springer, 2022. [doi]

@inproceedings{LiGLWGC22,
  title = {A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System},
  author = {Boyu Li 0003 and Ting Guo and Ruimin Li and Yang Wang 0002 and Amir H. Gandomi and Fang Chen 0001},
  year = {2022},
  doi = {10.1007/978-3-031-05981-0_12},
  url = {https://doi.org/10.1007/978-3-031-05981-0_12},
  researchr = {https://researchr.org/publication/LiGLWGC22},
  cites = {0},
  citedby = {0},
  pages = {147-160},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III},
  editor = {João Gama 0001 and Tianrui Li 0001 and Yang Yu 0001 and Enhong Chen and Yu Zheng and Fei Teng 0001},
  volume = {13282},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-05981-0},
}