Large language models in transportation systems management and operations
In brief
- LLMs and MM-LLMs integrate structured and unstructured data for transport management.
- Three main application domains: operations, mobility, and decision support.
- Major challenges: real-time processing, explainability, and multimodal data fusion.
This paper reviews the use of large language models (LLMs) and multimodal models (MM-LLMs) to enhance transportation systems management. It analyzes their applications across three key areas and highlights persistent challenges like data heterogeneity and explainability.
What it changes for you
- Transport & LogisticsLLMs could automate incident analysis and optimize real-time traffic management.
This summary gives you the essentials. The full article, its figures and quotes are on cs.AI updates on arXiv.org.
Read the original articleAI-generated summary of the source, checked by rules. Report an error