Abstract: This article systematically reviews how traffic foundation models reshape innovation and development in smart transportation. These models address traditional limitations in data complexity, incident handling, and decision-making, significantly improving traffic prediction, signal optimization, and anomaly detection. By integrating recent policies and industry practices, the article highlights generative AI-driven changes in transportation governance, outlines future ecosystem developments, and provides theoretical and practical guidance for China’s “Transportation Powerhouse” strategy.