6 datasets found

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  • Adaptive Graph Convolution Networks for Traffic Flow Forecasting

    Traffic flow forecasting is a highly challenging task due to the dynamic spatial-temporal road conditions. Graph neural networks (GNN) has been widely applied in this task....

  • PeMS-BAY

    The traffic forecasting problem can be categorized into three types, namely, based on the length of prediction, i.e., short-term (less than 30 min) and long term(30 ∼ 60 min).

  • Simulated Dynamic Network

    The simulated dynamic network dataset contains traffic flow data from a synthetic network.

  • NYC Taxi Dataset

    The NYC Taxi dataset provides trip records for the yellow and green taxis, and the for-hire vehicles in NYC. The dataset includes, for each recorded trip, the pick-up and...

  • PEMSD3 and PEMSD7

    The dataset used in the paper is a real-world traffic dataset collected by California Transportation Agencies (CalTrans) Performance Measurement System (PeMS).

  • METR-LA

    Urban traffic speed prediction aims to estimate the future traffic speed for improving urban transportation services. The proposed framework is a generic wrapper-style solution...