PeMSD7 is traffic data in District 7 of California consisting of the traffic speed of 228 sensors while the period is from May to June in 2012 (only weekdays) with a time interval of 5 minutes. This dataset is popular for benchmark the traffic forecasting models.
Variants: PeMSD7
This dataset is used in 2 benchmarks:
Task | Model | Paper | Date |
---|---|---|---|
Traffic Prediction | PM-DMNet(P) | Pattern-Matching Dynamic Memory Network for … | 2024-08-12 |
Traffic Prediction | PM-DMNet(R) | Pattern-Matching Dynamic Memory Network for … | 2024-08-12 |
Traffic Prediction | STD-MAE | Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal … | 2023-12-01 |
Traffic Prediction | STAEformer | STAEformer: Spatio-Temporal Adaptive Embedding Makes … | 2023-08-21 |
Traffic Prediction | STG-NRDE | Graph Neural Rough Differential Equations … | 2023-03-20 |
Traffic Prediction | PDFormer | PDFormer: Propagation Delay-Aware Dynamic Long-Range … | 2023-01-19 |
Traffic Prediction | STG-NCDE | Graph Neural Controlled Differential Equations … | 2021-12-07 |
Time Series Forecasting | STGCN(1st) | Spatio-Temporal Graph Convolutional Networks: A … | 2017-09-14 |
Time Series Forecasting | STGCN(Cheb) | Spatio-Temporal Graph Convolutional Networks: A … | 2017-09-14 |
Time Series Forecasting | FC-LSTM | Sequence to Sequence Learning with … | 2014-09-10 |
Recent papers with results on this dataset: