ConvoyLLM introduces a knowledge-driven approach that leverages Large Language Models to coordinate autonomous vehicle convoys in complex highway environments.

• Enables real-time adaptive decision making for connected vehicles
• Manages dynamic tasks including obstacle avoidance and convoy joining/leaving
• Supports flexible escort formations while maintaining convoy structure
• Addresses core engineering challenges in autonomous vehicle coordination

This research advances autonomous vehicle fleet management by combining AI reasoning capabilities with vehicle control systems, creating more responsive and adaptable convoy behaviors for future transportation systems.

ConvoyLLM: Dynamic Multi-Lane Convoy Control Using LLMs