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Open access Sep 2026

An Adaptive Ontology–LLM Framework for Simulation-Based Reenactment of Korean Traffic Accidents

Simulation-based testing is fundamental for validating automated driving systems (ADSs), and real-world traffic accident records provide realistic scenario data. However, converting such records into executable simulations requires addressing structural incompleteness, geographic bias in large language models (LLMs), a...

Su-Ji Sung, Ai-He Yu, Junoh Kim et al. · 0 citations

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