GATFormer: A Graph-based Transformer for Long-Term Forecasting of Traffic Overcrowding

Ke Zhang, Hengchang Liu, Siobhán Clarke. GATFormer: A Graph-based Transformer for Long-Term Forecasting of Traffic Overcrowding. In 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022, Macau, China, October 8-12, 2022. pages 1629-1635, IEEE, 2023. [doi]

@inproceedings{ZhangLC23-16,
  title = {GATFormer: A Graph-based Transformer for Long-Term Forecasting of Traffic Overcrowding},
  author = {Ke Zhang and Hengchang Liu and Siobhán Clarke},
  year = {2023},
  doi = {10.1109/ITSC57777.2023.10422105},
  url = {https://doi.org/10.1109/ITSC57777.2023.10422105},
  researchr = {https://researchr.org/publication/ZhangLC23-16},
  cites = {0},
  citedby = {0},
  pages = {1629-1635},
  booktitle = {25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022, Macau, China, October 8-12, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6880-0},
}