Grid-based Traffic Flow Prediction on NYCTaxi (inflow)
13.152MAEPDFormer
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PDFormer2023.01 | 13.152 | 12.743 | 21.957 | |
| ASTGNN2023.01 | 13.844 | 13.692 | 23.177 | |
| TFormer2023.01 | 13.995 | 13.912 | 23.487 | |
| MTGNN2023.01 | 14.194 | 13.984 | 23.663 | |
| GMAN2023.01 | 14.267 | 14.114 | 23.728 | |
| STGNCDE2023.01 | 14.281 | 14.171 | 23.742 | |
| DSAN2023.01 | 14.287 | 14.208 | 23.585 | |
| GWNET2023.01 | 14.31 | 14.198 | 23.799 | |
| STTN2023.01 | 14.359 | 14.206 | 23.841 | |
| DMVSTNet2023.01 | 14.377 | 14.314 | 23.734 | |
| STGCN2023.01 | 14.377 | 14.217 | 23.86 | |
| DCRNN2023.01 | 14.421 | 14.353 | 23.876 | |
| STResNet2023.01 | 14.492 | 14.543 | 24.05 | |
| STGODE2023.01 | 14.621 | 14.793 | 25.444 | |
| STFGNN2023.01 | 15.336 | 14.869 | 26.112 | |
| STSGCN2023.01 | 15.604 | 15.203 | 26.191 |