面向动态交通流量预测的自适应图注意Transformer
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刘宇轩,刘毅志,廖祝华,邹正标,汤璟昕
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Adaptive graph attention Transformer for dynamic traffic flow prediction
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Yuxuan LIU,Yizhi LIU,Zhuhua LIAO,Zhengbiao ZOU,Jingxin TANG
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| 表 4 PEMS04数据集上不同变体的RMSE和MAE对比结果 |
| Tab.4 Comparison results of RMSE and MAE for different variants on PEMS04 dataset |
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| 模型 | Tp=15 min | | Tp=30 min | | Tp=45 min | | Tp=60 min | | RMSE | MAE | | RMSE | MAE | | RMSE | MAE | | RMSE | MAE | | w/o MH | 26.76 | 18.12 | | 30.14 | 20.34 | | 36.25 | 23.05 | | 36.17 | 26.77 | | w/o LH | 28.67 | 19.78 | | 31.66 | 21.31 | | 29.43 | 19.32 | | 30.43 | 19.71 | | w/o LM | 33.32 | 27.03 | | 28.32 | 18.76 | | 29.12 | 19.45 | | 35.41 | 25.88 | | w/o adp | 27.01 | 17.68 | | 28.63 | 18.59 | | 29.89 | 19.69 | | 30.83 | 20.89 | | w/o dis | 27.38 | 18.12 | | 28.96 | 18.96 | | 30.12 | 20.43 | | 31.25 | 21.54 | | MSAGAFormer | 25.78 | 16.33 | | 27.51 | 17.42 | | 27.13 | 17.94 | | 28.89 | 18.76 |
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