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ChatPlanner: LLM Framework Personalizes Public Transit Routing with Fine-Tuning and RAG

Artificial Intelligence #large language models#llms

ChatPlanner: LLM Framework Personalizes Public Transit Routing with Fine-Tuning and RAG

Researchers present ChatPlanner, a novel framework that leverages fine-tuned Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) to capture diverse user preferences for public transit routing. The system extracts routing parameters from natural language queries, integrates preferences into the routing algorithm, and generates feasible, personalized alternatives. Three experiments show that the combined fine-tuning and RAG approach achieves highest accuracy and uncovers valuable solutions overlooked by existing route planners.

Jun 16, 2026 1 source