COMPASS: Scaling-Law Guidance Enhances LLM-Based Human Mobility Simulation

Jul 15, 2026

COMPASS introduces a method that uses empirical mobility scaling laws as feedback to guide large language model (LLM)-based human mobility simulation. By integrating population-level statistical regularities into the prompt construction process, COMPASS bridges the gap between individual trajectory realism and collective mobility patterns. The approach demonstrates improved performance over existing LLM-based simulators on two public datasets.

Why it matters: This work advances LLM-based geospatial simulation by enabling both realistic individual behaviors and accurate population-level mobility patterns, addressing a key limitation of prior methods.

Full story at: arXiv Multiagent Systems ↗