Natural language processing and text mining in transportation: Current status, challenges, and future roadmap

Xiaocai Zhang

doi:10.1016/j.eswa.2025.129050

Natural language processing and text mining in transportation: Current status, challenges, and future roadmap

2025-07-17

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DOI：10.1016/j.eswa.2025.129050

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Abstract

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• Provide a review of the use of NLP and text mining across various sectors of transportation. • Highlight significant advancements in NLP technologies, such as Large Language Models. • Identify existing challenges within the field and outline several future research directions. • In-depth discussion on NLP methodologies, their applications, and the datasets utilized.

Keywords:

Natural language processing (NLP)

Text mining

Transportation

Large language models (LLMs)

Natural language processing and text mining in transportation: Current status, challenges, and future roadmap

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