利好！超级赛道再迎重磅！七部门最新部署！

Core Viewpoint - The implementation of artificial intelligence in the transportation sector is being accelerated, with a goal for widespread application by 2027 and deep integration by 2030, aiming to establish a leading position globally in smart transportation and logistics technologies [1]. Group 1: Key Deployments - Accelerate the research and development of intelligent driving systems and remote driving cockpits, particularly in regions like Beijing-Tianjin-Hebei and the Yangtze River Delta [2]. - Encourage the development of new equipment such as drones and all-terrain vehicles [3]. - Promote the opening of urban scenarios and road networks to facilitate the large-scale application of new delivery devices and intelligent delivery services [4][8]. - Establish high-quality datasets, algorithm libraries, and toolchains for the "AI + Transportation" initiative to support the construction of an intelligent comprehensive transportation network [4]. Group 2: Innovation Empowerment - Focus on enhancing key technology supply, accelerating innovation in smart products, and building a comprehensive transportation model to improve the intelligence level of the transportation system [6]. - Deploy seven key tasks across various transportation scenarios, including smart railways and logistics, to create replicable and scalable application cases [7]. - Utilize existing infrastructure like highway ETC gantries to explore multi-sensor integration for improved public travel experiences [7]. Group 3: Optimizing the Innovation Environment - Optimize computing power supply, accelerate the construction of high-quality datasets, and promote the development of ubiquitous network facilities to support AI applications in transportation [9][10]. - Strengthen the integration of computing resources and enhance data sharing among industry, academia, and research institutions [9]. - Establish a transportation big model innovation and industry alliance to foster collaboration among leading AI companies, industry players, and educational institutions [10].