Research Article

AGCN-T: A Traffic Flow Prediction Model for Spatial-Temporal Network Dynamics

Table 7

Performance of variants of AGCN-T on Seattle.

Time (min)Evaluation metricsAGCN-T-TAGCN-T-AAGCN-T-GAGCN-T

15MAE5.45214.28214.51213.9826
MAPE (%)17.412512.331813.592111.1394
RMSE8.27826.37166.80165.9907
30MAE5.43564.24684.59514.0206
MAPE (%)17.818112.154613.454311.2235
RMSE8.24696.31686.81436.0103
45MAE5.44834.23854.66194.2175
MAPE (%)17.855312.130413.604111.2301
RMSE8.26616.33786.83436.1332
60MAE5.52674.34514.70844.3032
MAPE (%)18.067912.422913.969711.6223
RMSE8.37156.49047.06536.1932