Traffic Flow Prediction on TaxiBJ
0.54RMSEUniSTD
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| UniSTD2025.03 | 0.54 | — | — | — | — | — | — | |
| UniST2025.03 | 0.9 | — | — | — | — | — | — | |
| TAUmode=3task2025.03 | 1.69 | — | — | — | — | — | — | |
| SimVPmode=3task2025.03 | 2.86 | — | — | — | — | — | — | |
| UrbanFMM-F setting=16-1282019.02 | 4.329 | — | — | — | — | 2.224 | 0.313 | |
| UrbanFM-neexternal factor fusion subnet=removed2019.02 | 4.386 | — | — | — | — | 2.258 | 0.32 | |
| SRResNet2019.02 | 4.524 | — | — | — | — | 2.66 | 0.688 | |
| DeepSDnumber of filters=768/3842019.02 | 4.554 | — | — | — | — | 2.612 | 0.621 | |
| ESPCNnumber of filters=768/3842019.02 | 4.569 | — | — | — | — | 2.727 | 0.732 | |
| VDSRdepth=202019.02 | 4.586 | — | — | — | — | 2.498 | 0.486 | |
| SRCNNnumber of filters=768/3842019.02 | 4.612 | — | — | — | — | 2.681 | 0.689 | |
| HA2019.02 | 5.381 | — | — | — | — | 2.551 | 0.334 | |
| MEAN2019.02 | 20.918 | — | — | — | — | 12.019 | 5.364 | |
| Causal LSTMInput frames=4, Predict frames=42018.11 | — | 0.319 | 0.399 | 0.5 | 0.573 | — | — | |
| FRNNInput frames=4, Predict frames=42018.11 | — | 0.331 | 0.416 | 0.518 | 0.619 | — | — | |
| MIMInput frames=4, Predict frames=42018.11 | — | 0.309 | 0.39 | 0.475 | 0.542 | — | — | |
| PredRNNInput frames=4, Predict frames=42018.11 | — | 0.318 | 0.427 | 0.516 | 0.595 | — | — | |
| ST-ResNetInput frames=4, Predict frames=42018.11 | — | 0.46 | 0.571 | 0.67 | 0.762 | — | — | |
| VPNInput frames=4, Predict frames=42018.11 | — | 0.427 | 0.548 | 0.645 | 0.721 | — | — |