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 old ones in China, with a focus on accelerating breakthroughs in basic research and promoting emerging industries like intelligent driving 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, advancing smart comprehensive transportation networks and achieving a leading position in key technologies within the smart transportation and logistics sectors [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 Smart Products - The plan calls for accelerated innovation in smart products, including the development of intelligent driving systems, remote driving cockpits, and advanced monitoring technologies for highways [3]. - It encourages the research and development of new equipment such as drones and all-terrain vehicles, as well as upgrades to smart railway equipment and intelligent scheduling systems [3]. Group 4: Core Element Guarantees - The plan highlights the need to optimize computing power supply, accelerate the construction of high-quality data sets, and promote the development of ubiquitous network facilities [4]. - It emphasizes the integration of AI, next-generation communication, and IoT technologies to support the development of transportation infrastructure and service networks [4]. Group 5: Industrial Ecosystem Optimization - The plan aims to enhance the incubation capacity of the industrial ecosystem by forming alliances for transportation AI models and integrating leading companies, industry enterprises, and academic institutions [5]. - It also focuses on improving the governance mechanism for AI applications in transportation, addressing data risk prevention, and establishing monitoring and emergency response systems [5].