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Core Viewpoint - The article discusses the implementation of artificial intelligence in the transportation sector, emphasizing the acceleration of innovation and application in various regions by 2027 and 2030 [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]. - Create high-quality datasets, algorithm libraries, and toolchains for the "AI + Transportation" initiative to support the construction of an intelligent comprehensive transportation network [4]. - Expedite the formulation and revision of standards and norms in key areas like intelligent driving and smart shipping [5]. Group 2: Accelerating Innovation - The transportation sector is identified as a key area for the application of artificial intelligence due to its diverse scenarios and rich data [7]. - The article outlines three main tasks to enhance key technology supply: application technology breakthroughs, accelerating intelligent product innovation, and building a comprehensive transportation model [7]. - Specific tasks include the development of smart driving systems, remote driving cockpits, and upgrades to railway equipment such as smart trains and intelligent scheduling systems [8]. Group 3: Optimizing the Innovation Environment - The article emphasizes the need to optimize computing power supply, accelerate the construction of high-quality datasets, and promote ubiquitous network infrastructure [10]. - It highlights the importance of integrating various technologies like AI, new communication methods, and IoT to support the development of transportation infrastructure [11]. - The establishment of a transportation model innovation and industry alliance is proposed to foster collaboration among leading AI companies, industry enterprises, and academic institutions [11].