This work considers combining multi-tricks with highway networks to achieve accurate traffic flow prediction.
1. MT-STNet: A Novel Multi-Task Spatiotemporal Network for Highway Traffic Flow Prediction (MT-STNet) [codes link]
- Note that the MT-STNet program should be reproduced on the TensorFlow version >= 1.13.1. If not, some problems will appear in the running stage.
--->>>>>>> MT-STNet has been accepted by IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS).
The above codes have been uploaded to the Git-Hub page [codes link].
If you find this repository useful in your research, please cite the following paper:
@article{zou2024mt,
title={MT-STNet: A Novel Multi-Task Spatiotemporal Network for Highway Traffic Flow Prediction},
author={Zou, Guojian and Lai, Ziliang and Wang, Ting and Liu, Zongshi and Li, Ye},
journal={IEEE Transactions on Intelligent Transportation Systems},
volume={25},
number={7},
pages={8221--8236},
year={2024},
publisher={IEEE}
}