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 focus on innovation and application by 2027 and 2030, aiming for a comprehensive integration of AI technologies in transportation systems [2]. 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 [3]. - Encourage the development of new equipment such as drones and all-terrain vehicles [4]. - Promote urban scenarios and road network openness to facilitate the large-scale application of new delivery devices and intelligent delivery services [5]. Group 2: Enhancing Innovation Scenarios - Leverage the diverse application scenarios in transportation to deploy seven key tasks, including smart railways and intelligent logistics, to create replicable and scalable application cases [11]. - Support the aggregation of innovation resources in key regions and cautiously advance the demonstration application of intelligent driving technologies [11]. - Upgrade postal and express delivery infrastructure to establish an intelligent and efficient delivery network [11]. Group 3: Optimizing the Innovation Environment - Optimize computing power supply capabilities and accelerate the construction of high-quality datasets to support AI applications in transportation [12]. - Promote the integration of AI, next-generation communication, and IoT technologies to develop a comprehensive transportation data transmission network [13]. - Enhance the industrial ecosystem by improving incubation capabilities and establishing a multi-level talent training system [13][14].