Looking Ahead and Back: Anticipatory Generative Modeling for Road-Network Trajectories

The paper introduces Anticipatory Generative Modeling, a new graph-constrained approach for generating road‑network trajectories that focuses on behavior modeling rather than simple location simulation. It presents Foresight, a probabilistic model that iteratively anticipates, selects, updates, and re‑anticipates future transitions to produce realistic routes that stay on the road network. Experiments show that Foresight outperforms existing state‑of‑the‑art generative methods.

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• diffusion
• benchmarks