Traffic flow forecasting on PeMS08
23.22RMSEPM-DMNet(R)
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| PM-DMNet(R)variant=Recursive2024.08 | 23.22 | 13.4 | 8.87 | |
| PM-DMNet(P)variant=PMP2024.08 | 23.35 | 13.55 | 9.04 | |
| STWave2024.08 | 23.4 | 13.42 | 8.9 | |
| MegaCRN2024.08 | 24.15 | 15.19 | 9.88 | |
| LLGFormer2025.05 | 24.21 | 15.16 | 10.08 | |
| MTGNN2025.05 | 24.25 | 15.31 | 10.21 | |
| LSTAN-GERPE2025.05 | 24.33 | 14.9 | 10.04 | |
| STFAN2025.05 | 24.57 | 15.56 | 9.8 | |
| WOAAGCRTN2025.05 | 24.67 | 15.27 | 9.96 | |
| STA-GCNT2025.05 | 24.83 | 15.24 | 9.96 | |
| Traffic-Transformer2025.05 | 24.88 | 15.19 | 9.93 | |
| TMGCN2025.05 | 24.92 | 15.73 | 10.53 | |
| AGCRN2024.08 | 25.22 | 15.95 | 10.09 | |
| STESHTN2025.05 | 25.6 | 15.92 | 10.96 | |
| STGODE2021.06 | 25.97 | 16.81 | 10.62 | |
| STGODE2024.08 | 25.97 | 16.81 | 10.62 | |
| STGODE2025.05 | 26.1 | 16.81 | 10.62 | |
| ASTGCN(r)2021.06 | 26.22 | 16.64 | 10.6 | |
| STFGNN2024.08 | 26.25 | 16.94 | 10.6 | |
| DCRNN2024.08 | 26.36 | 16.82 | 10.92 | |
| LSGCN2024.08 | 26.76 | 17.73 | 11.2 | |
| STSGCN2025.05 | 26.79 | 17.13 | 10.96 | |
| STSGCN2021.06 | 26.8 | 17.13 | 10.96 | |
| STSGCN2024.08 | 26.8 | 17.13 | 10.96 | |
| STGCN2025.05 | 26.97 | 17.45 | 11.1 | |
| STGCN2024.08 | 27.09 | 17.5 | 11.29 | |
| DCRNN2025.05 | 27.29 | 17.5 | 11.08 | |
| DCRNN2021.06 | 27.83 | 17.46 | 11.39 | |
| STGCN2021.06 | 27.88 | 18.11 | 11.34 | |
| ASTGCNvariant=r2024.08 | 28.06 | 18.25 | 11.64 | |
| VAR2024.08 | 29.81 | 19.19 | 13.1 | |
| Graph WaveNet2021.06 | 30.04 | 18.28 | 12.15 | |
| GWN2024.08 | 30.05 | 18.28 | 12.15 | |
| VAR2025.05 | 33.83 | 22.32 | 14.47 | |
| LSTM2024.08 | 35.17 | 23.09 | 14.99 | |
| TCN2024.08 | 35.79 | 22.72 | 14.03 | |
| SVR2024.08 | 36.16 | 23.25 | 14.64 | |
| ARIMA2021.06 | 44.32 | 31.09 | 22.73 | |
| ARIMA2024.08 | 44.32 | 31.09 | 22.73 | |
| HA2024.08 | 59.24 | 34.86 | 27.88 |