Ministry of Transport Launches 100 AI Pilot Projects to Scale Smart Transportation

The Ministry of Transport recently released the "Action Plan for Innovative Application Scenarios of 'Artificial Intelligence + Transportation'," which outlines plans to organize over 100 pilot projects across ten key areas—including autonomous driving, smart highways, and intelligent shipping—mobilizing more than 1,000 innovative entities to develop a series of scenario-specific solutions. The first batch of 41 priority scenarios has already been identified and will be implemented this year. According to the action plan, AI-driven innovation in transportation will be steadily advanced along the pathway of "technological breakthrough → scenario validation → industrial application → systemic upgrading." By 2030, the goal is to open up a number of high-value application scenarios, develop a set of high-performance algorithmic models, and foster new infrastructure, advanced technological equipment, novel service models, and emerging industrial formats. The pilot tasks are categorized into three types: - **Application and Promotion** focuses on scaling up proven technologies in mature scenarios; - **Innovation Demonstration** emphasizes system integration and broader deployment of established technologies; - **Breakthrough R&D** targets the development and testing of core technologies such as algorithms and intelligent terminals. Moving forward, the Ministry of Transport will establish an innovation repository for "AI + Transportation," encourage local governments to develop distinctive application scenarios based on local conditions, enhance the summarization and exchange of exemplary practices, strengthen relevant standards systems, conduct pre-standardization research, and advance major innovation initiatives through a "technology + engineering" approach to improve mechanisms for translating research outcomes into practical applications.