OpenCodePapers

traffic-prediction-on-pems04

Time Series ForecastingTraffic Prediction
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PaperCode12 Steps MAEFLOPs(M)MAEMAPEParameters(K)RMSEModelNameReleaseDate
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting✓ Link17.80STD-MAE2023-12-01
A novel hybrid time-varying graph neural network for traffic flow forecasting17.99HTVGNN2024-01-17
Dynamic Trend Fusion Module for Traffic Flow Prediction✓ Link18DTRformer2025-01-18
Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks✓ Link18.14Cy2Mixer2024-01-29
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting✓ Link18.22STAEformer2023-08-21
PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction✓ Link18.24PDG2Seq2024-12-05
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction✓ Link18.32PDFormer2023-01-19
A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting✓ Link18.45DDGCRN2023-05-01
FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting✓ Link18.49FasterSTS2025-01-01
19.33IDCN
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting✓ Link19.83AGCRN2020-07-06
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting✓ Link14718.7912.8%1850.3014LightCTS2023-02-23
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