Connects LLMs to Eclipse SUMO traffic simulation, enabling AI agents to automate traffic network generation, demand modeling, signal optimization, simulation execution, and real-time TraCI control through natural language.
Enables natural language-driven creation and execution of autonomous-vehicle scenarios in the CARLA simulator, with validated primitives and replay support.
Integrates SUMO traffic simulation with the Model Context Protocol for autonomous driving applications, enabling simulation environment interaction and model context management.
Enables natural language interaction with OpenStudio building energy simulation, allowing creation, querying, and modification of models, running EnergyPlus simulations, and analyzing results.
