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SOTA
Traffic Prediction
Traffic Prediction On Pems08
Traffic Prediction On Pems08
Metrics
MAE@1h
Results
Performance results of various models on this benchmark
Columns
Model Name
MAE@1h
Paper Title
DDGCRN
14.40
A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting
CorrSTN
14.27
A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting
FasterSTS
13.60
FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting
PDG2Seq
13.60
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction
PDFormer
13.58
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
PM-DMNet(P)
13.55
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
Cy2Mixer
13.53
Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
STAEformer
13.46
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
STWave
13.42
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
PM-DMNet(R)
13.40
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
HTVGNN
13.24
A novel hybrid time-varying graph neural network for traffic flow forecasting
DTRformer
13.17
Dynamic Trend Fusion Module for Traffic Flow Prediction
LightCTS
-
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
0 of 13 row(s) selected.
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HyperAI
HyperAI
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Console
Docs
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Terms of Service
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English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
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Console
Home
SOTA
Traffic Prediction
Traffic Prediction On Pems08
Traffic Prediction On Pems08
Metrics
MAE@1h
Results
Performance results of various models on this benchmark
Columns
Model Name
MAE@1h
Paper Title
DDGCRN
14.40
A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting
CorrSTN
14.27
A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting
FasterSTS
13.60
FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting
PDG2Seq
13.60
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction
PDFormer
13.58
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
PM-DMNet(P)
13.55
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
Cy2Mixer
13.53
Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
STAEformer
13.46
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
STWave
13.42
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
PM-DMNet(R)
13.40
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
HTVGNN
13.24
A novel hybrid time-varying graph neural network for traffic flow forecasting
DTRformer
13.17
Dynamic Trend Fusion Module for Traffic Flow Prediction
LightCTS
-
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
0 of 13 row(s) selected.
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Traffic Prediction On Pems08 | SOTA | HyperAI