Research Article

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

Table 9

Effect of PPS.

Time (min)Evaluation MetricsPeMSD7SeattleLos-loop
AdjCovPPSAdjCovPPSAdjCovPPS

15MAE5.51104.59914.30976.90755.65255.10175.60164.66704.2835
MAPE (%)13.703611.231310.429218.932815.513113.837518.143114.130112.5277
RMSE6.04545.47604.80637.28196.06765.96377.06575.89074.8178
30MAE5.49334.63164.26886.88105.57195.16365.60034.67864.3160
MAPE (%)13.622511.121510.327118.931215.234513.873918.312313.933312.1341
RMSE6.04355.48964.79507.27896.04615.98587.07125.90384.8330
45MAE5.65634.59684.29366.91145.75595.02685.62094.71694.2224
MAPE (%)14.113210.929210.413618.930415.273213.573318.230113.735211.9352
RMSE6.07655.47254.80097.28866.11165.94797.06765.91094.8066
60MAE5.70554.61534.41846.96245.83875.26815.68384.74784.4373
MAPE (%)14.091511.322810.824119.130315.712114.171118.355114.181212.4122
RMSE6.08905.46874.82457.29976.12406.00767.08175.90614.8595