用于交通流预测的自适应图生成跳跃网络

黄靖,钟书远,文元桥,罗坤

Adaptive graph generation jump network for traffic flow prediction

Jing HUANG,Shu-yuan ZHONG,Yuan-qiao WEN,Kun LUO

表 1 不同方法在2个数据集上的性能比较

Tab.1 Performance comparison of different methods on two data sets

模型 PeMSD4 (30/60 min) PeMSD8 (30/60 min) MAE RMSE MAE RMSE HA 31.46/38.24 44.94/54.31 26.04/31.94 36.99/45.16 T-GCN 22.97/24.8 34.74/37.09 20.17/21.52 29.03/31.19 STGCN 22.85/25.8 33.62/37.68 19.85/22.27 28.25/31.52 ASTGCN 21.69/23.14 33.72/36.11 17.67/19.11 27.59/30.27 AGCRN 18.72/19.74 30.65/32.57 15.00/16.58 23.69/26.19 AG-JNet 18.53/20.08 28.19/30.43 15.15/16.12 22.80/24.59