Large Language Models: Shaping the Future of Transportation?
T. Gao (TU Delft - Traffic Systems Engineering)
M. Movaghar (TU Delft - Traffic Systems Engineering)
Theivaprakasham Hari (TU Delft - Traffic Systems Engineering)
A. Roocroft (TU Delft - Traffic Systems Engineering)
M. Rinaldi (TU Delft - Traffic Systems Engineering)
Y. Xin (TU Delft - Traffic Systems Engineering)
S.P. Hoogendoorn (TU Delft - Traffic Systems Engineering)
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Abstract
Are you using tools like ChatGPT in your daily life to help write an email or even draft a construction plan? Just ten years ago, these kinds of capabilities would have seemed unimaginable. Today, they’re becoming part of everyday life for ordinary people. Behind these powerful tools are technologies known as Large Language Models (LLMs)—AI systems that can understand and generate human-like text and now even create images and videos. But what exactly are LLMs? Could they help transform fields like transportation and traffic management? Can they really do everything, or are there still limitations? In this article, we’ll walk you through a general introduction to LLMs: what they are, how they work, and what opportunities—and challenges—they bring to the transportation sector.