Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Spatiotemporal forecasting has various applications in neuroscience, climate and transportation domain. Traffic forecasting is one canonical example of such learning task... (read more)

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Datasets


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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Traffic Prediction METR-LA DCRNN MAE @ 12 step 3.60 # 6
Traffic Prediction PEMS-BAY DCRNN MAE @ 12 step 2.07 # 3
Traffic Prediction PeMS-M DCRNN MAE (60 min) 3.83 # 3

Methods used in the Paper


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