Table 2 Traffic prediction performance on Milan dataset.
From: MeshHSTGT: hierarchical spatio-temporal fusion for mesh network traffic forecasting
Model | Traffic Data in city of Milan (10 min/30 min/60 min) | ||
|---|---|---|---|
MAE | MAPE | RMSE | |
FNN | 30.04/93.67/158.79 | 0.19/0.24/0.21 | 42.54/129.20/270.11 |
FC-LSTM | 33.94/102.69/229.28 | 0.18/0.21/0.25 | 40.75/124.78/272.09 |
GWN | 26.52/65.91/143.48 | 0.13/0.12/0.13 | 36.12/101.34/186.32 |
ST-ChebNet | 29.20/87.89/190.73 | 0.17/0.18/0.21 | 36.81/108.58/231.19 |
STSGCN | 28.61/74.53/144.64 | 0.13/0.14/0.15 | 36.62/104.30/183.11 |
STFGNN | 27.34/72.13/139.65 | 0.13/0.14/0.14 | 37.13/109.44/189.43 |
TSGAN | 25.67/66.16/141.18 | 0.13/0.12/0.13 | 35.95/98.67/185.71 |
MeshHSTGT | 25.01/59.71/120.35 | 0.13/0.11/0.12 | 34.13/90.04/170.57 |
