CityBehavEx: A Scalable and Empirically Validated LLM-Assisted Urban Simulation Platform

arXiv cs.CL · 18 hours ago

CityBehavEx is an urban simulation platform that uses fine-tuned cross-encoders combined with human mobility models to generate city-scale agent behaviors, reducing reliance on large language model calls. The system simulates 100,000 agents over 75 days in under one hour on a single GPU while producing mobility patterns that align with real-world spatial, temporal, and semantic distributions. This approach enables researchers to validate synthetic urban behaviors against empirical data and inspect agent activities at scale.