Core Viewpoint - The "Implementation Opinions on 'Artificial Intelligence + Transportation'" aims to integrate AI into the transportation sector, with specific goals set for 2027 and 2030, focusing on widespread application and innovation in AI technologies [1][2][3] Group 1: Goals and Objectives - By 2027, AI will be widely applied in typical scenarios within the transportation industry, with a comprehensive transportation model established and a number of innovative projects completed [1] - By 2030, AI will be deeply integrated into the transportation sector, with a fully advanced intelligent transportation network and key technologies being self-controlled, placing the overall level at the forefront globally [1] Group 2: Key Tasks - Increase supply of key technologies through application technology breakthroughs, accelerate innovation in smart products, and build a comprehensive transportation model [2] - Accelerate innovation in application scenarios by deploying seven key tasks across various fields such as assisted driving, smart railways, and intelligent logistics, creating replicable application cases [2] - Strengthen core element guarantees by optimizing computing power supply, enhancing high-quality data set construction, and promoting ubiquitous network infrastructure [2] - Optimize the industrial development ecosystem by enhancing incubation capabilities, improving AI governance mechanisms, and accelerating talent aggregation [2] Group 3: Supporting Measures - Establish a coordinated development mechanism for AI in transportation, enhance the openness of application scenarios, and strengthen compliance management for network and data security [2] - Deepen international cooperation and improve ethical review rules and mechanisms to ensure a secure and reliable environment for AI applications [2][3]
《关于“人工智能+交通运输”的实施意见》发布 部署“加大关键技术供给”等4方面任务
Xin Hua Cai Jing·2025-09-26 08:11