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HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting

Traffic forecasting, which aims to predict traffic conditions based on historical observations, has been an enduring research topic and is widely recognized as an essential component of intelligent transportation.

Data and Resources

Cite this as

Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu (2024). Dataset: HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. https://doi.org/10.57702/bmrv8oqm

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Zezhi Shao
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Fei Wang
Zhao Zhang
Yuchen Fang
Guangyin Jin
Yongjun Xu