LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting

Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu 0001, Yiwei Wang, Lei Bai 0001, Chao Huang 0001, Zhenguang Liu, Bryan Hooi, Roger Zimmermann. LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{LiuXL0W00LHZ23,
  title = {LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting},
  author = {Xu Liu and Yutong Xia and Yuxuan Liang and Junfeng Hu 0001 and Yiwei Wang and Lei Bai 0001 and Chao Huang 0001 and Zhenguang Liu and Bryan Hooi and Roger Zimmermann},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/ee57cd73a76bd927ffca3dda1dc3b9d4-Abstract-Datasets_and_Benchmarks.html},
  researchr = {https://researchr.org/publication/LiuXL0W00LHZ23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}