Hao-Ran Ma

DaiLLM: An Agent Framework Based on a Large Language Model and Reinforced by AI to Generate Daily Activity Trajectories

Simulating human mobility is crucial for urban planning, environmental exposure assessment, and social behavior studies. However, existing methods often rely on rules and assumptions, making it difficult to provide robust results and explicit decision‐making processes when generating plausible daily activity trajecto...