Crash Narrative-Guided Countermeasure Recommendation Using Large Language Models: A Retrieval-Augmented Generation Framework for Intersection Safety
Leveraging Retrieval-Augmented Generation to automate crash analysis and improve intersection safety protocols.
Improving safety at intersections requires identifying crash mechanisms and recommending appropriate countermeasures. However, this process traditionally relies on expert judgment, making it labor-intensive, difficult to scale, and dependent on the availability of experienced tra...
ArXiv CS.CL
Source
Generated insight by OnAirToday AI
Integrating RAG with LLMs transforms intersection safety by automating complex crash analysis that previously demanded extensive human expert review. This framework enables scalable, data-driven decision-making, potentially reducing traffic fatalities through rapid and accurate countermeasure deployment.
Comments
Keep comments relevant and respectful. No links, advertising, self-promotion, or spam.