A fine-tuned GPT-4o-mini detects conflicts in synthetic four-leg intersection scenarios with 83% accuracy and produces traffic-management text with high ROUGE-L scores against the simulator's templated references.
Modeling driver behavior within a signalized intersection approach decision–dilemma zone,
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Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm
A fine-tuned GPT-4o-mini detects conflicts in synthetic four-leg intersection scenarios with 83% accuracy and produces traffic-management text with high ROUGE-L scores against the simulator's templated references.