This is a TensorFlow implementation of DMVST-Net in the following paper:
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.
I only put the model part on it. Other parts will be put soon.
The model part is just for reference
- keras>=2.0.8
- tensorflow>=1.3.0
- python 2.7 (Recommend Anaconda)
This work is an intern work in Didi Chuxing. Due to the privacy policy, we do not provide the raw data. Maybe you can apply a similar type of data in https://outreach.didichuxing.com/appEn-vue/Personal.
If you find the code is userful, please cite our paper
@inproceedings{yao2018deep,
title={Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction},
author={Yao, Huaxiu and Wu, Fei and Ke, Jintao and Tang, Xianfeng and Jia, Yitian and Lu, Siyu and Gong, Pinghua and Ye, Jieping and Li Zhenhui},
booktitle={The Thirty-Second AAAI Conference on Artificial Intelligence},
year={2018}
}