PeMSD7

Dataset Information
Modalities
Time series
License
Unknown

Overview

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

Associated Benchmarks

This dataset is used in 2 benchmarks:

Recent Benchmark Submissions

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

Research Papers

Recent papers with results on this dataset: