arXiv releases AgenticMobility platform for AI mobility agents
Original title: AgenticMobility: An Open-Source Platform for Multi-AI-Agent Mobility Dynamics
AgenticMobility is an open-source platform studying how AI agents interact in urban transportation simulations over repeated experience.
Understanding mobility dynamics requires examining individual decisions traffic and policy effects. AgenticMobility is an experimental platform for multi-AI-agent mobility. Persistent agents retain identities and states with interfaces for information access actions and decision schedules. In the current implementation LLM agents act as travelers and a manager adjusting charges in MATSim. A demonstration spans 100 simulated days in five configurations with all 1.17 million target decisions satisfying constraints. The platform supports experiments on adaptation collective outcomes and interventions by varying information access and feedback.
- open-source platform for mobility AI agents
- LLM agents as travelers and manager
- spans 100 simulated days
- 1.17 million finalized decisions
- supports repeated experience adaptation
- Organizations
- agentic-city-research
From the original article
1 min read at arxiv.orgUnderstanding mobility dynamics and the effects of urban transportation management policies requires examining how individual travel decisions, traffic conditions, and policy interventions influence one another over time.
By Jiaheng Xiao · arxiv.org
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