异质性解耦与特征分层建模驱动的交通流预测
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侯越,谢金龙,张琳栋,尹杰,王甜甜
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Traffic flow prediction driven by heterogeneity decoupling and feature layered modeling
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Yue HOU,Jinlong XIE,Lindong ZHANG,Jie YIN,Tiantian WANG
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| 表 2 基于PEMS04、PEMS08、METRLA数据集的不同基准线模型的预测准确度对比 |
| Tab.2 Comparison of prediction accuracy of different baseline model based on PEMS04, PEMS08 and METRLA dataset |
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| 模型 | PEMS04 | | | PEMS08 | | | METRLA | | MAE | RMSE | MAPE/% | | | MAE | RMSE | MAPE/% | | | MAE | RMSE | MAPE/% | | ARIMA | 28.55 | 40.36 | 19.55 | | | 31.23 | 33.47 | 19.25 | | | 6.08 | 11.37 | 14.62 | | ST-Norm | 18.96 | 30.98 | 12.69 | | | 15.41 | 24.77 | 9.76 | | | 3.14 | 6.45 | 8.60 | | SCINet | 19.30 | 31.28 | 12.05 | | | 15.76 | 24.65 | 10.01 | | | 3.46 | 6.62 | 9.25 | | STGCN | 19.57 | 31.28 | 13.44 | | | 16.08 | 25.39 | 10.60 | | | 3.16 | 6.38 | 8.69 | | DCRNN | 19.63 | 31.26 | 13.59 | | | 16.22 | 25.17 | 10.81 | | | 3.24 | 6.47 | 8.92 | | GWNet | 18.83 | 30.01 | 12.94 | | | 14.98 | 23.99 | 10.21 | | | 3.17 | 6.61 | 9.21 | | DGCRN | 19.01 | 30.51 | 12.19 | | | 14.80 | 23.75 | 9.46 | | | 3.18 | 6.38 | 8.76 | | GMAN | 19.14 | 31.60 | 13.19 | | | 15.31 | 24.92 | 10.13 | | | 3.25 | 6.52 | 8.76 | | ASTGNN | 18.60 | 30.91 | 12.36 | | | 15.00 | 24.75 | 9.50 | | | 3.30 | 6.64 | 8.78 | | PDFormer | 18.51 | 30.24 | 12.38 | | | 14.34 | 23.68 | 9.88 | | | 3.15 | 6.54 | 8.71 | | CFHD-Former | 18.32 | 29.98 | 12.01 | | | 13.74 | 23.28 | 9.03 | | | 3.03 | 6.26 | 8.35 |
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