You're currently viewing an old version of this dataset. To see the current version, click here.

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

This dataset has no data

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

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

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