Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors

Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou 0006, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp 0001, David P. Kreil, Sepp Hochreiter. Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. In Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht, editors, NeurIPS 2022 Competition Track, November 28 - December 9, 2022, Online. Volume 220 of Proceedings of Machine Learning Research, pages 251-278, PMLR, 2021. [doi]

@inproceedings{NeunEMSSSDWLZLIWLLMLLLGGMWHFMTKKH21,
  title = {Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors},
  author = {Moritz Neun and Christian Eichenberger and Henry Martin and Markus Spanring and Rahul Siripurapu and Daniel Springer and Leyan Deng and Chenwang Wu and Defu Lian and Min Zhou 0006 and Martin Lumiste and Andrei Ilie and Xinhua Wu and Cheng Lyu and Qing-Long Lu and Vishal Mahajan and Yichao Lu and Jiezhang Li and Junjun Li and Yue-jiao Gong and Florian Grötschla and Joël Mathys and Ye Wei and He Haitao and Hui Fang and Kevin Malm and Fei Tang and Michael Kopp 0001 and David P. Kreil and Sepp Hochreiter},
  year = {2021},
  url = {https://proceedings.mlr.press/v220/neun22a.html},
  researchr = {https://researchr.org/publication/NeunEMSSSDWLZLIWLLMLLLGGMWHFMTKKH21},
  cites = {0},
  citedby = {0},
  pages = {251-278},
  booktitle = {NeurIPS 2022 Competition Track, November 28 - December 9, 2022, Online},
  editor = {Marco Ciccone and Gustavo Stolovitzky and Jacob Albrecht},
  volume = {220},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}