Fig 1.
Overall Framework of STIL-TA.
Fig 2.
Overall Framework of the Interactive Learning Module: (a) Structure of the IDGCN; (b) Structure of the DGCN.
Table 1.
Details of the experimental dataset.
Table 2.
Performance comparison of different traffic flow prediction models on METR-LA and PEMS-BAY datasets.
Table 3.
Performance comparison of different traffic flow prediction models on PEMS04 and PEMS08 datasets.
Fig 3.
Visual comparison of different error metrics (MAE).
Fig 4.
Visual comparison of different error metrics (RMSE).
Fig 5.
Visual comparison of different error metrics (MAPE).
Fig 6.
Visualization of MAE metrics on METR-LA and PEMS-BAY datasets.
Fig 7.
Visualization of RMSE metrics on METR-LA and PEMS-BAY datasets.
Fig 8.
Visualization of MAPE metrics on METR-LA and PEMS-BAY datasets.
Fig 9.
Visualization of the true and predicted values of the STIL-TA model on the PEMS-BAY dataset (Horizon 3).
Fig 10.
Visualization of the true and predicted values of the STIL-TA model on the PEMS-BAY dataset (Horizon 12).
Table 4.
Computation time comparison with other models on the PEMS-BAY dataset.