Leveraging Spatio-Temporal Patterns for Predicting Citywide Traffic Crowd Flows Using Deep Hybrid Neural Networks

Ahmad Ali, Yanmin Zhu, Qiuxia Chen, Jiadi Yu, Haibin Cai. Leveraging Spatio-Temporal Patterns for Predicting Citywide Traffic Crowd Flows Using Deep Hybrid Neural Networks. In 25th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2019, Tianjin, China, December 4-6, 2019. pages 125-132, IEEE, 2019. [doi]

@inproceedings{AliZCYC19,
  title = {Leveraging Spatio-Temporal Patterns for Predicting Citywide Traffic Crowd Flows Using Deep Hybrid Neural Networks},
  author = {Ahmad Ali and Yanmin Zhu and Qiuxia Chen and Jiadi Yu and Haibin Cai},
  year = {2019},
  doi = {10.1109/ICPADS47876.2019.00025},
  url = {https://doi.org/10.1109/ICPADS47876.2019.00025},
  researchr = {https://researchr.org/publication/AliZCYC19},
  cites = {0},
  citedby = {0},
  pages = {125-132},
  booktitle = {25th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2019, Tianjin, China, December 4-6, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-2583-1},
}