PEMS-BAY is a dataset for traffic prediction.
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Traffic Prediction | T-Graphormer | T-Graphormer: Using Transformers for Spatiotemporal … | 2025-01-22 |
| Traffic Prediction | TITAN | A Time Series is Worth … | 2024-09-26 |
| Traffic Prediction | STD-MAE | Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal … | 2023-12-01 |
| Traffic Prediction | STAEformer | STAEformer: Spatio-Temporal Adaptive Embedding Makes … | 2023-08-21 |
| Traffic Prediction | MegaCRN | Spatio-Temporal Meta-Graph Learning for Traffic … | 2022-11-27 |
| Traffic Prediction | D2STGNN | Decoupled Dynamic Spatial-Temporal Graph Neural … | 2022-06-18 |
| Traffic Prediction | STEP | Pre-training Enhanced Spatial-temporal Graph Neural … | 2022-06-18 |
| Traffic Prediction | STBayesian | Traffic signal prediction on transportation … | 2021-04-27 |
| Traffic Prediction | GMAN | GMAN: A Graph Multi-Attention Network … | 2019-11-11 |
| Traffic Prediction | Graph Wave-Net | Graph WaveNet for Deep Spatial-Temporal … | 2019-05-31 |
| Traffic Prediction | DCRNN | Diffusion Convolutional Recurrent Neural Network: … | 2017-07-06 |
Recent papers with results on this dataset: