With the promotion of ChatGPT to the public, Large language models indeed showcase
remarkable common sense, reasoning, and planning skills, frequently providing insightful
guidance. These capabilities hold significant promise for their application in urban traffic
management and control. However, large language models (LLMs) struggle with addressing
traffic issues, especially processing numerical data and interacting with simulations, limiting
their potential in solving traffic-related challenges. In parallel, specialized traffic foundation …