Transportation Foundation Models Reshape the Innovation Landscape and Ecosystem Evolution of Smart Transportation

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.