A multi-agent LLM system for SUMO decouples simulation tasks across Planner, Builder, Demand, Runner, and Analyst agents with MCP-based orchestration, yielding higher success rates than single-agent baselines in ablation studies.
Trafficsimagent: A hierarchical agent framework for autonomous traffic simulation with mcp control,
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Decoupled Intelligence: A Multi-Agent LLM Framework for Controllable Traffic Scenario Generation in SUMO
A multi-agent LLM system for SUMO decouples simulation tasks across Planner, Builder, Demand, Runner, and Analyst agents with MCP-based orchestration, yielding higher success rates than single-agent baselines in ablation studies.