Research Article
Multi-Dimensional Attention Based Spatial-Temporal Networks for Traffic Forecasting
Table 1
Average Performance Of Difference Methods On PeMSD4 And PeMSD8 Datasets.
| Model | PeMSD4 | PeMSD8 | RMSE | MAE | RMSE | MAE |
| HA | 46.08 | 31.53 | 38.00 | 26.05 | ARIMA | 47.56 | 29.94 | 35.53 | 28.66 | GRU | 39.69 | 28.58 | 29.67 | 23.59 | LSTM | 39.3 | 27.83 | 27.83 | 22.31 | Graph-WaveNet | 37.79 | 26.52 | 26.34 | 21.39 | STGCN | 38.29 | 25.62 | 27.87 | 20.31 | MASTN(propose) | 35.01 | 22.53 | 22.43 | 19.33 | MSTN(propose) | 35.77 | 23.72 | 26.76 | 19.78 |
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