The reporter learned from the regular press conference held by the Ministry of Transport on August 20th that China is accelerating the application of artificial intelligence in the field of transportation, continuously promoting innovation in typical application scenarios, and has released the first batch of 41 key typical scenario construction guidelines. By 2030, a number 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 of "artificial intelligence+transportation" will emerge, promoting the better leadership of artificial intelligence in the development of new quality productivity in the transportation field.

In recent years, with artificial intelligence becoming the core engine of a new round of technological revolution and industrial transformation, the transportation industry has also become the main battlefield for the landing and large-scale application of artificial intelligence. In September last year, the Ministry of Transport, together with six departments, issued the "Implementation Opinions on 'Artificial Intelligence+Transportation'", which clarified the key application directions of artificial intelligence in the field of transportation. In June of this year, the Ministry of Transport, together with four departments, issued the "Innovative Action Plan for Typical Application Scenarios of 'Artificial Intelligence+Transportation'", fully launching the innovative action plan for typical application scenarios and relying on artificial intelligence technology to drive the construction of a strong transportation country.

At present, we have released the first batch of 41 key typical scenario construction guidelines around 10 major directions such as intelligent driving, smart highways, smart railways, and smart postal services, and officially launched the creation of the first batch of typical application scenario projects. Xu Wenqiang, Director of the Science and Technology Department of the Ministry of Transport, stated that we will rely on artificial intelligence technology to fill the gaps in the industry, promote the promotion of mature technology scale, integrate technology demonstration and integration, concentrate on tackling core scenarios, and cultivate an independent and controllable transportation artificial intelligence industry ecosystem.

Specifically, in terms of intelligent postal services, Xu Huarong, Deputy Director of the Policy and Regulations Department of the State Post Bureau, introduced that the postal industry focuses on postal express production, services, and other aspects, promoting the application of intelligent security inspection systems that can automatically identify and remove prohibited items. The detection scope covers more than 100 categories such as controlled instruments and fireworks; The pilot application of unmanned delivery technology has deployed over 16000 unmanned express delivery vehicles and more than 400 drones in multiple regions across the country to provide end of pipe delivery services, improving the quality and efficiency of delivery services in areas with inconvenient transportation such as mountainous areas and islands.

In terms of intelligent railways, Liu Yan, Deputy Director of the Science and Law Department of the National Railway Administration, introduced that the railway department will strengthen platform construction, enhance the construction of key railway industry laboratories and engineering research centers related to high-speed train intelligent operation and maintenance, BIM software and other artificial intelligence technologies; Promote safety management by adopting a high-speed rail line environmental safety control platform along the high-speed rail line, which automatically identifies personnel and foreign objects invading the track through artificial intelligence analysis that combines video and radar. At present, 56000 cameras have been installed along China's high-speed rail lines, covering key locations such as tunnel entrances and bridgeheads. As of April 2026, nearly 310000 effective alarms have been processed.

Looking ahead to the future, with the acceleration of typical application scenarios of "artificial intelligence+transportation", the construction of "one network and four modernizations" in the transportation field is expected to receive further support.

The 'One Network, Four Modernizations' is the main theme for the high-quality development of comprehensive transportation in the current and future period. The innovative action of' artificial intelligence+transportation 'typical application scenarios is the core technology engine supporting the implementation of the' One Network, Four Modernizations'. Xu Wenqiang said that in the future, data integration will be promoted to facilitate integration and fusion; Empowering security improvement through mode transformation, using artificial intelligence to promote security governance from "post disposal" to "pre warning", and from "human defense as the mainstay" to "technical and intelligent defense"; Empowering digital upgrading through system reconstruction, artificial intelligence will reconstruct the transportation system and achieve upgrades in facilities, equipment, and other aspects; To reduce costs and increase efficiency and promote green transformation, artificial intelligence will dynamically optimize resource allocation in multiple aspects such as transportation organization and facility operation and maintenance, achieving energy conservation and carbon reduction.

In addition, relevant experts believe that with the accelerated implementation of typical application scenarios of artificial intelligence, the digital transformation of the transportation industry will further accelerate. The deep integration of artificial intelligence and transportation business is expected to promote the industry's shift from digital transformation of a single link to intelligent upgrading of the entire chain and all elements, thereby improving the efficiency of infrastructure operation, transportation organization coordination ability, and safety governance level in the transportation field.