urban-mobility-generation/Cardiff
Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion
This project helps urban planners and transportation analysts generate realistic urban mobility patterns. It takes in general parameters about an urban area and produces detailed, plausible simulated GPS trajectories for vehicles or people. This is useful for anyone needing to model or understand city movement without relying solely on real-world data, such as for traffic simulations or infrastructure planning.
Use this if you need to create synthetic, yet realistic, fine-grained GPS-level movement data within a city for simulation, planning, or research purposes.
Not ideal if you are looking to analyze existing real-world trajectory data or predict future movements based on historical observations.
Stars
12
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 05, 2026
Commits (30d)
0
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