SUMO-MCP wraps SUMO traffic simulation utilities as Model Context Protocol services, enabling an LLM agent to dynamically import tools and run workflows such as simulation, evaluation, and signal optimization from natural-language prompts.
A deep reinforcement learning based ramp metering control method considering ramp outflow,
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SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization
SUMO-MCP wraps SUMO traffic simulation utilities as Model Context Protocol services, enabling an LLM agent to dynamically import tools and run workflows such as simulation, evaluation, and signal optimization from natural-language prompts.