“人工智能+交通运输”路线图来了，智能产品“加速上路”

Core Viewpoint - The implementation of "Artificial Intelligence + Transportation" is a key initiative to foster new economic drivers and update existing ones in China, with a focus on enhancing intelligent driving and related industries as new engines for economic growth [1][2]. Group 1: Goals and Objectives - By 2027, AI is expected to be widely applied in typical scenarios within the transportation sector, with the establishment of a comprehensive transportation AI model system and the development of several landmark innovative projects [2]. - By 2030, AI will be deeply integrated into the transportation industry, promoting a smart, comprehensive, and multi-dimensional transportation network, with key technologies achieving self-control and a leading global position [2]. Group 2: Key Tasks - The implementation plan outlines four main tasks: increasing the supply of key technologies, accelerating innovation in application scenarios, strengthening core element guarantees, and optimizing the industrial development ecosystem [2][4]. - In increasing key technology supply, the plan emphasizes breakthroughs in common technologies such as dynamic scene perception, real-time precise positioning, and autonomous decision-making in complex environments [2]. Group 3: Innovation in Intelligent Products - The plan calls for accelerated innovation in intelligent products, including smart driving systems, remote driving cockpits, and advanced monitoring technologies for road infrastructure [3]. - It encourages the development of new equipment such as drones and all-terrain vehicles, as well as upgrades to railway equipment and smart logistics facilities [3]. Group 4: Focus Areas for Innovation - Seven key tasks are identified for accelerating innovation in application scenarios, including smart driving, intelligent railways, and smart logistics [3][4]. - The plan supports the development of intelligent trains and autonomous control systems, promoting technologies that enhance self-detection and self-repair capabilities [4]. Group 5: Core Element Guarantees - The plan emphasizes optimizing computing power supply, accelerating the construction of high-quality data sets, and promoting the development of ubiquitous network facilities [4]. - It aims to integrate AI, next-generation communication, and IoT technologies to support the development of transportation infrastructure and service networks [4]. Group 6: Industrial Ecosystem Optimization - The plan proposes enhancing the incubation capacity of the industrial ecosystem by forming alliances for AI model innovation and industry collaboration [5]. - It addresses the need for a governance mechanism for AI applications in transportation, focusing on data risk prevention and the establishment of monitoring and emergency response systems [5]. - The plan highlights the importance of talent development, advocating for the establishment of AI education centers in transportation-related universities and promoting interdisciplinary talent cultivation [5].