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Waiting Time Forecasting on Incheon International Airport (ICN) Departure Gates (test)

0.344MAETransformer-based forecasting framework
0.318520.490510.66250.83449May 30, 2026

Evaluation results

MethodLinks
Transformer-based forecasting frameworkFacility=DG2-E, Prediction horizon (S)=12, Input window (T)=182026.050.3440.915
Transformer-based forecasting frameworkFacility=DG4-W, Prediction horizon (S)=12, Input window (T)=182026.050.4790.88
Transformer-based forecasting frameworkFacility=DG4-E, Prediction horizon (S)=12, Input window (T)=182026.050.621.069
Transformer-based forecasting frameworkFacility=DG5-E, Prediction horizon (S)=12, Input window (T)=182026.050.6271.168
Transformer-based forecasting frameworkFacility=All Gates (Average), Prediction horizon (S)=12, Input window (T)=18, Prediction length aggregation=Averaged from all prediction lengths, Encoder layers (L)=3, Latent dimension (D)=256, Attention heads (H)=4, Batch size=32, Optimizer=AdamW, Learning rate=1e-4, Epochs=3002026.050.6791.229
TransformerFacility=All Gates (Average), Prediction horizon (S)=12, Input window (T)=18, Prediction length aggregation=Averaged from all prediction lengths2026.050.6961.326
Transformer-based forecasting frameworkFacility=DG3-E, Prediction horizon (S)=12, Input window (T)=182026.050.721.215
Transformer-based forecasting frameworkFacility=DG2-W, Prediction horizon (S)=12, Input window (T)=182026.050.8171.669
Transformer-based forecasting frameworkFacility=DG5-W, Prediction horizon (S)=12, Input window (T)=182026.050.8831.383
Seq2Seq LSTMFacility=All Gates (Average), Prediction horizon (S)=12, Input window (T)=18, Prediction length aggregation=Averaged from all prediction lengths2026.050.8921.652
Transformer-based forecasting frameworkFacility=DG3-W, Prediction horizon (S)=12, Input window (T)=182026.050.9451.531
FFNFacility=All Gates (Average), Prediction horizon (S)=12, Input window (T)=18, Prediction length aggregation=Averaged from all prediction lengths2026.050.9811.816