Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, including weather data processing.
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Updated
Oct 17, 2026 - Python
Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, including weather data processing.
An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.
Calculating the nearest weather sensor for each traffic sensor and then merging the weather sensors' temporal data with the traffic sensors'.
Robust spatiotemporal traffic forecasting on METR-LA & PEMS-BAY with GRU + graph-temporal models, strict time splits, robustness tests, and conformal uncertainty.
Traffic forecasting for road sensor networks: a node-level spatio-temporal Transformer (V19) with a reproducible METR-LA / PEMS-BAY benchmark, CLI and Colab notebook.
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