Author

Jiejin Qi

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Open access Jul 2026

U-GRU for Short-Term Urban Traffic Speed Forecasting with Ordered-Node Feature Transformation and Channel–Temporal Recalibration

This study proposes U-GRU, a staged forecasting model that integrates node-wise gated recurrent temporal encoding, a one-dimensional U-Net-based ordered-node feature transformation module, external-feature alignment and channel–temporal recalibration for short-term traffic speed forecasting.

Chuanbin Shao, Jiejin Qi, Guijie Zhang · Applied Sciences · 0 citations