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SOTA
Traffic Prediction
Traffic Prediction On Pemsd8
Traffic Prediction On Pemsd8
評価指標
12 steps MAE
12 steps RMSE
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
12 steps MAE
12 steps RMSE
Paper Title
Repository
Hierarchical-Attention-LSTM (HierAttnLSTM)
9.215
22.320
Network Level Spatial Temporal Traffic State Forecasting with Hierarchical Attention LSTM (HierAttnLSTM)
PM-DMNet(P)
13.55
23.35
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
STD-MAE
13.44
22.47
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
PDG2Seq
13.60
23.37
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction
STG-NRDE
15.32
24.72
Graph Neural Rough Differential Equations for Traffic Forecasting
FasterSTS
13.60
-
FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting
-
STWave
13.42
-
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
DDGCRN
14.40
-
A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting
HTVGNN
13.24
-
A novel hybrid time-varying graph neural network for traffic flow forecasting
-
HAGCN
14.85
-
HAGCN : Network Decentralization Attention Based Heterogeneity-Aware Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting
-
STG-NCDE
15.45
24.81
Graph Neural Controlled Differential Equations for Traffic Forecasting
PM-DMNet(R)
13.40
23.22
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
PDFormer
13.58
-
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
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