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.
Trafficwise: Leveraging world models for generalized and interpretable traffic control,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.