AI RESEARCH
General-purpose LLMs as Models of Human Driver Behavior: The Case of Simplified Merging
arXiv CS.AI
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ArXi:2604.09609v1 Announce Type: new Human behavior models are essential as behavior references and for simulating human agents in virtual safety assessment of automated vehicles (AVs), yet current models face a trade-off between interpretability and flexibility. General-purpose large language models (LLMs) offer a promising alternative: a single model potentially deployable without parameter fitting across diverse scenarios. However, what LLMs can and cannot capture about human driving behavior remains poorly understood.