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[TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction

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TKDE 2021 Paper

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction

Datasets

Yahoo! Bousai Crowd Data is now available at Yahoo! Japan Research website.
https://randd.yahoo.co.jp/en/softwaredata

Model

Please check DeepCrowd.py or workBousaiTYO(OSA)_ours.

Dependencies

Working environment and major dependencies:

  • Ubuntu 16.04.6 LTS
  • Python 3 (>= 3.5; Anaconda Distribution)
  • NumPy (>= 1.11.0)
  • pandas (>= 0.18.0)
  • TensorFlow/tensorflow-gpu (= 1.1x.0)
  • Keras (>= 2.0.8)

Citation

If you find anything in this repository useful to your research, please cite our paper :) We sincerely appreciate it. DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction

@article{jiang2021deepcrowd,
  title={DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction},
  author={Jiang, Renhe and Cai, Zekun and Wang, Zhaonan and Yang, Chuang and Fan, Zipei and Chen, Quanjun and Tsubouchi, Kota and Song, Xuan and Shibasaki, Ryosuke},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2021},
  publisher={IEEE}
}

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[TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction

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