Survey details LLM and MM-LLM use in transportation operations

A new survey paper explores the application of large language models (LLMs) and multi-modal large language models (MM-LLMs) in transportation systems management and operations. The research synthesizes current studies across operations, mobility services, and data support, identifying challenges such as data heterogeneity and explainability. The paper suggests LLMs are most promising as a decision-support layer, particularly MM-LLMs for integrating diverse data inputs. AI

IMPACT LLMs show potential to enhance decision-making in transportation by integrating diverse data sources.

RANK_REASON This is a survey paper published on arXiv, detailing the application of LLMs in a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• Large Language Models
• Multi-modal Large Language Models
• Transportation Systems Management and Operations

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