到二〇三〇年,智能综合立体交通网全面推进——人工智能让交通运输更“聪明”
Ren Min Ri Bao·2025-11-13 00:14

Core Viewpoint - The integration of artificial intelligence (AI) with transportation is transforming production and lifestyle, enhancing precision, reliability, and efficiency in traffic management and infrastructure development [1] Group 1: Implementation and Goals - The Ministry of Transport and six other departments issued implementation opinions on "AI + Transportation," outlining 16 specific tasks across four areas, aiming for a fully advanced intelligent transportation network by 2030 with self-controlled core technologies [1][2] - The goal includes achieving a 20% increase in traffic efficiency and a 30% improvement in emergency response efficiency through intelligent monitoring and management systems [3] Group 2: Technological Development - The focus is on application technology breakthroughs, innovation in intelligent products, and the construction of a comprehensive transportation model, which will support the intelligent transformation of the industry [2] - The establishment of a transportation big model, which includes high-quality datasets and algorithm libraries, is crucial for promoting technological sharing and collaborative innovation [2] Group 3: Application Scenarios - The implementation opinions cover seven key areas for intelligent applications, including combined auxiliary driving, smart railways, and intelligent shipping, providing ample testing grounds for new technologies and products [4] - In the water transport sector, 52 automated terminals have been established, and intelligent systems are being applied in over ten domestic and international ports [4] Group 4: Infrastructure Support - The integration of AI in transportation relies on robust infrastructure, with specific deployments in computing power, data, and network capabilities to ensure effective support for intelligent systems [7] - The construction of a comprehensive transportation big data center is underway to enhance data sharing and the creation of high-quality datasets, which are essential for AI model training and application [7]

到二〇三〇年,智能综合立体交通网全面推进——人工智能让交通运输更“聪明” - Reportify