Technological breakthroughs are the foundation of intelligent transportation development and the prerequisite for scenario implementation. The ultimate goal is to cultivate an industrial system, which requires consolidating the strength of multiple innovative entities, accelerating the research and trial of core technologies, accelerating the transformation of achievements and market applications, and helping to build a modern comprehensive transportation system.
In recent years, AI technology has continuously enabled high-quality development of the transportation industry, accelerated the formation of new forms of intelligent transportation, and provided more convenience for people's lives, from car assisted driving, automatic parking, to automatic mail sorting, and then to high-speed railway auto drive system.
Recently, the Ministry of Transport and other departments issued the "Action Plan for Innovative Typical Application Scenarios of 'Artificial Intelligence+Transportation'" (hereinafter referred to as the "Action Plan"), which focuses on ten directions such as intelligent driving, smart highways, intelligent shipping, and intelligent safety supervision. It will organize and implement over a hundred pilot projects, gather over a thousand innovative entities, and form a batch of scenario level solutions, pointing out the path for the deep integration of artificial intelligence and transportation, and promoting the acceleration of intelligent transportation construction from technological research and development to scene scale implementation.
Technological breakthroughs are the foundation of intelligent transportation development and the prerequisite for scenario implementation. In recent years, the travel experience of Chinese residents has been continuously improving. Whether it is the high-speed rail network achieving "just say it's going" or the ride hailing platform connecting supply and demand on the "last mile", it is all supported by continuous technological breakthroughs. However, transportation is a comprehensive industry that covers multiple fields such as highways, railways, water transportation, civil aviation, and postal services. It not only connects industries but also relates to people's livelihoods, with complex scenarios, diverse demands, and extremely high safety requirements. Whether artificial intelligence can adapt to the needs and promote industrial development depends not only on whether the technology is advanced, but also on whether the technology can be smoothly implemented in the scene, whether it can truly improve efficiency, and whether it can give the public more sense of gain.
Therefore, when deploying innovative typical application scenarios, the Action Plan emphasizes the path of "technological breakthroughs - scenario verification - industrial applications - system upgrading", steadily and orderly promoting the large-scale innovative application of "artificial intelligence+transportation", and helping transportation achieve integrated integration, safety improvement, digital upgrading, and green transformation.
From the perspective of the integration of artificial intelligence and the transportation industry, breakthroughs in core technologies are certainly important, but focusing on real-world scenarios is even more crucial. Only by combining technology and scenarios can we truly promote the transformation and upgrading of the transportation industry.
Key technological breakthroughs are the foundation. When carrying out application technology research and development, efforts should be made to break through common technologies such as dynamic scene perception and understanding, real-time accurate positioning and navigation, autonomous decision-making for complex environments, and swarm intelligence collaboration. We need to accelerate the innovation of intelligent products, strengthen the research and application of new technologies and equipment, guide innovation resources to gather in key areas, build a solid technological foundation for full scenario application, fill the technical gaps in segmented fields, and construct an independent and controllable technological system.
The value of technological breakthroughs needs to be verified in scenarios. At present, there is a strong demand for empowering artificial intelligence technology in areas such as travel services, freight logistics, and safety supervision. Accelerating the promotion and verification of adaptive technologies in these fields is already feasible. For example, promoting AI intelligent inspection instead of manual inspection in road maintenance scenarios, accurately identifying road surface diseases, identifying safety hazards, and improving maintenance efficiency; Strengthen intelligent scheduling and passenger flow prediction technology in smart travel scenarios, optimize public transportation resource allocation, and alleviate congestion problems.
Of course, cultivating an industrial system is the ultimate goal of the Action Plan. According to the Action Plan, by 2030, a batch of high-value application scenarios will be opened up, a batch of high-level algorithm models will be formed, and a batch of new infrastructure, new technological equipment, new service models, and new industrial forms in the field of "artificial intelligence+transportation" will emerge. To achieve this goal, we need to gather the strength of various innovative entities such as artificial intelligence enterprises, universities, and research institutes, accelerate the research and trial of core technologies, strengthen the systematic integration and promotion of mature technologies, accelerate the transformation of achievements and market applications, and help build a safe, efficient, green, and convenient modern comprehensive transportation system, providing stronger momentum for the construction of a strong transportation country.