TransportPlanningDataset
What it is
A graph-based dataset for strategic transport planning based on simulation results from the Four-Step Model. It provides data for training deep graph neural networks (GNNs) to predict city transport demand and congestion using socioeconomic and network information.
The problem it solves
Lack of large-scale public datasets for strategic transport planning and the high cost/complexity of calibrating traditional Four-Step Models.
What you could use it for
- Training deep graph neural networks for transport demand forecasting.
- Developing surrogate models for long-term urban transportation planning.
- Transfer learning tasks involving socio-economic and transport network data.
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