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 5 PEMS08数据集上不同变体的RMSE和MAE对比结果
Tab.5 Comparison results of RMSE and MAE for different variants on PEMS08 dataset
模型Tp=15 minTp=30 minTp=45 minTp=60 min
RMSEMAERMSEMAERMSEMAERMSEMAE
w/o MH22.9616.7825.6119.3229.2520.4534.7326.33
w/o LH24.0817.5824.2618.0627.1319.0831.9322.14
w/o LM29.7220.4726.3419.8628.7119.4327.6520.42
w/o adp23.7316.9724.5818.7527.1619.1430.6920.04
w/o dis27.3818.1228.9618.9630.1220.4331.2521.54
MSAGAFormer21.8716.0523.8717.2625.1317.7626.6319.14