How to simulate realistic human mobility for large-scale web apps?
The Patterns of Life Human Mobility Simulation
October 2, 2024
https://arxiv.org/pdf/2410.00185This paper presents an open-source agent-based simulation for generating large-scale, realistic human mobility data. The simulation models agents' movements and interactions based on sociological theories and customizable geographical contexts.
Key points for LLM-based multi-agent systems:
- Scalable data generation: The system is optimized to handle large numbers of agents, making it suitable for training and evaluating LLM-based agents in complex environments.
- Realistic behavior modeling: Agents follow rules rooted in sociological theories, leading to more believable and nuanced interactions compared to purely data-driven approaches.
- Customizable environments: The system integrates with OpenStreetMap data, allowing developers to simulate LLM-based agents in diverse and realistic geographical settings.
- Potential for LLM integration: While not directly integrating LLMs, the platform offers a robust testing ground for deploying LLMs as agent "brains" to study emergent behaviors in complex scenarios.