CRFST-GCN: A Deeplearning Spatial-Temporal Frame to Predict Traffic Flow

Chunyan Diao, Dafang Zhang, Wei Liang 0005, Kuan-Ching Li, Man Jiang. CRFST-GCN: A Deeplearning Spatial-Temporal Frame to Predict Traffic Flow. In Yongxuan Lai, Tian Wang 0001, Min Jiang 0005, Guangquan Xu, Wei Liang 0005, Aniello Castiglione, editors, Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part I. Volume 13155 of Lecture Notes in Computer Science, pages 3-17, Springer, 2021. [doi]

@inproceedings{DiaoZ0LJ21,
  title = {CRFST-GCN: A Deeplearning Spatial-Temporal Frame to Predict Traffic Flow},
  author = {Chunyan Diao and Dafang Zhang and Wei Liang 0005 and Kuan-Ching Li and Man Jiang},
  year = {2021},
  doi = {10.1007/978-3-030-95384-3_1},
  url = {https://doi.org/10.1007/978-3-030-95384-3_1},
  researchr = {https://researchr.org/publication/DiaoZ0LJ21},
  cites = {0},
  citedby = {0},
  pages = {3-17},
  booktitle = {Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Virtual Event, December 3-5, 2021, Proceedings, Part I},
  editor = {Yongxuan Lai and Tian Wang 0001 and Min Jiang 0005 and Guangquan Xu and Wei Liang 0005 and Aniello Castiglione},
  volume = {13155},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-95384-3},
}