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This paper aims to provide a comprehensive review of the methodologies and applications of LLMs in transportation, addressing existing literature gaps.

June 13, 2026Information FusionOpen Access

Large Language Models for Transportation Research: Methodologies, State of the Art, and Future Opportunities

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This paper aims to provide a comprehensive review of the methodologies and applications of LLMs in transportation, addressing existing literature gaps.
Comprehensive literature review on methodologies of LLMs in transportation applications
Exploration of applications like autonomous driving and travel behavior prediction
Identification of research gaps and recommendations for policymakers and practitioners.
Present state-of-the-art applications of LLMs in transportation, including autonomous driving and travel behavioral analysis.
Propose future research directions to refine LLM architectures and tackle transportation challenges.
Highlight critical research opportunities for integrating LLMs with existing transportation tools.

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Review investigates methodologies and applications of LLMs in transportation, highlighting future research opportunities.

Cite This Study

Yan et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf665faef96ed7f058182 https://doi.org/10.1016/j.inffus.2026.104546

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Large Language Models for Transportation Research: Methodologies, State of the Art, and Future Opportunities

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Implication

Cite This Study

Large Language Models for Transportation Research: Methodologies, State of the Art, and Future Opportunities

Key Points

Discussion

Implication

Cite This Study

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