Enhancing transport innovation knowledge management workflows using artificial intelligence: a TRIMIS database case study — Cheimariotis et al. (2026)
The study reports an LLM-assisted public-sector knowledge-management workflow using iterative prompt refinement, structured outputs and verbatim evidence grounding, compared with expert judgment across a large transport-project corpus.
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Authors: Ilias Cheimariotis, João Neves Costa, Francesca Piazza, Chiara Lodi, Michal Rataj, Jakub Zawieska, Marcin Stępniak, Monica Grosso
Abstract source: Zotero metadata
Published in: European Transport Research Review
Publication date: 2026-10-26
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Source license: Creative…
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