大消息！超级赛道，利好来了

Core Viewpoint - The article discusses the implementation opinions on "Artificial Intelligence + Transportation" issued by the Ministry of Transport and six other departments, aiming to accelerate the innovative application of AI in the transportation sector by 2027 and 2030 [1][4]. Summary by Sections Overall Requirements - By 2027, AI will be widely applied in typical scenarios within the transportation industry, with a comprehensive transportation model system deployed and a number of landmark innovative projects established. By 2030, AI will be deeply integrated into the transportation sector, promoting a smart, comprehensive transportation network [6][7]. Increasing Key Technology Supply - The focus will be on overcoming common technologies such as dynamic scene perception, real-time positioning, and autonomous decision-making. There will be an emphasis on developing smart driving systems and remote driving cockpits, as well as encouraging the development of new equipment like drones and all-terrain vehicles [8][9]. Accelerating Innovation Scene Empowerment - The initiative includes supporting intelligent driving models and enhancing service scenarios in regions like Beijing-Tianjin-Hebei and the Yangtze River Delta. It also covers smart railways, smart shipping, and smart logistics, with specific requirements for optimizing standards and enhancing service quality [10][11][12]. Strengthening Core Element Guarantees - The plan emphasizes optimizing computing power supply, accelerating the construction of high-quality data sets, and promoting the integration of AI with new communication technologies and the Internet of Things [14]. Optimizing Industrial Development Ecology - The document outlines the need to enhance the incubation capacity of the industrial ecosystem, promote the establishment of innovation alliances, and support the development of key laboratories and testing platforms in the AI transportation sector [15][16]. Assurance Measures - The strategy includes government guidance and market leadership, establishing a coordinated development mechanism for AI in transportation, and enhancing safety management and regulatory frameworks [17].