面向动态交通流量预测的自适应图注意Transformer
刘宇轩,刘毅志,廖祝华,邹正标,汤璟昕

Adaptive graph attention Transformer for dynamic traffic flow prediction
Yuxuan LIU,Yizhi LIU,Zhuhua LIAO,Zhengbiao ZOU,Jingxin TANG
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
模型Tp=15 minTp=30 minTp=45 minTp=60 min
RMSEMAERMSEMAERMSEMAERMSEMAE
w/o MH26.7618.1230.1420.3436.2523.0536.1726.77
w/o LH28.6719.7831.6621.3129.4319.3230.4319.71
w/o LM33.3227.0328.3218.7629.1219.4535.4125.88
w/o adp27.0117.6828.6318.5929.8919.6930.8320.89
w/o dis27.3818.1228.9618.9630.1220.4331.2521.54
MSAGAFormer25.7816.3327.5117.4227.1317.9428.8918.76