MCP server for LLM-driven SUMO traffic simulation, scenario design, and result analysis.
An Agentic Framework for Interactive Simulation Scenario Generation in SUMO via Large Language Models AgentSUMO lets non-expert stakeholders design, execute, and analyze SUMO traffic simulations through natural-language interaction. The Planner Agent translates abstract policy questions into executable simulation plans, drives them via the Model Context Protocol (MCP), and surfaces results…
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An Agentic Framework for Interactive Simulation Scenario Generation in SUMO via Large Language Models AgentSUMO lets non-expert stakeholders design, execute, and analyze SUMO traffic simulations through natural-language interaction. The Planner Agent translates abstract policy questions into executable simulation plans, drives them via the Model Context Protocol (MCP), and surfaces results through a web dashboard. Conversational scenario design — describe a policy question, get a runnable…
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