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STDEN
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![STDEN framework](https://github.com/Echo-Ji/STDEN/blob/main/assets/framework.jpg)
This is a Pytroch implementation of Spatio-temporal Differential Equation Network (STDEN) for physics-guided traffic flow prediction, as described in our paper:
Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, and Hu Zhang, **[STDEN: Towards Physics-guided Neural Networks for Traffic Flow Prediction](https://www.bigscity.com/publications/stden-towards-physics-guided-neural-networks-for-traffic-flow-prediction/)**, AAAI 2022.
Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, and Hu Zhang, **[STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/20322)**, AAAI 2022.
The training framework of this project comes from [chnsh](https://github.com/chnsh/DCRNN_PyTorch). Thanks a lot :)
@ -41,17 +41,20 @@ The configuration file of all datasets are as follows:
|WRS-393|stden_wrs.yaml|
|ZGC-564|stden_zgc.yaml|
Note the data is not public and I am not allowed to distribute it.
Note the data is not public, and I am not allowed to distribute it.
## Cite
If you find the paper usefule, please cite as following:
If you find the paper useful, please cite as following:
```tex
@inproceedings{ji2022stden,
title={STDEN: Towards Physics-guided Neural Networks for Traffic Flow Prediction},
title={{STDEN}: Towards physics-guided neural networks for traffic flow prediction},
author={Ji, Jiahao and Wang, Jingyuan and Jiang, Zhe and Jiang, Jiawei and Zhang, Hu},
booktitle={2022 AAAI Conference on Artificial Intelligence (AAAI'22)},
year={2022}
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
year={2022},
volume={36},
number={4},
pages={4048-4056}
}
```