Papers with MobileCity

1 papers
MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation (2026.eacl-industry)

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Challenge: Existing methods for simulating realistic urban behaviors rely on static profiles and synchronous inference pipelines that hinder scalability.
Approach: They propose a lightweight generative agent framework for city-scale simulation powered by cognitively-grounded generative agents.
Outcome: Experiments with 4,000 agents show that MobileCity generates more human-like urban dynamics than baselines while maintaining high computational efficiency.

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