  With the increasing popularity of ChatGPT, large language models (LLMs) have
demonstrated their capabilities in communication and reasoning, promising for
transportation sector intelligentization. However, they still face challenges
in domain-specific knowledge. This paper aims to leverage LLMs' reasoning and
recognition abilities to replace traditional user interfaces and create an
"intelligent operating system" for transportation simulation software,
exploring their potential with transportation modeling and simulation. We
introduce Network Generation AI (NGAI), integrating LLMs with road network
modeling plugins, validated through experiments for accuracy and robustness.
NGAI's effective use has reduced modeling costs, revolutionized transportation
simulations, optimized user steps, and proposed a novel approach for LLM
integration in the transportation field.
