PeMS-08
Emerging7papers using it
2023first seen
PEMS08 is a benchmark traffic dataset that contains spatio-temporal traffic data used to evaluate the performance of traffic forecasting models.
Papers using PeMS-08 (7)
- GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis MambaAutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series PredictionLightweight Spatio-Temporal Attention Network with Graph Embedding and Rotational Position Encoding for Traffic ForecastingSGRU: A High-Performance Structured Gated Recurrent Unit for Traffic
Flow PredictionSpatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal
ForecastingESGCN: Edge Squeeze Attention Graph Convolutional Network for Traffic
Flow ForecastingHybrid Transformer and Spatial-Temporal Self-Supervised Learning for
Long-term Traffic Prediction