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الرئيسية
SOTA
Traffic Prediction
Traffic Prediction On Pemsd8
Traffic Prediction On Pemsd8
المقاييس
12 steps MAE
12 steps RMSE
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اسم النموذج
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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