en.Wedoany.com Reported - On June 25, five departments—the Ministry of Transport, the National Railway Administration, the Civil Aviation Administration of China, the State Post Bureau, and the China State Railway Group—jointly issued the "AI + Transportation" Typical Application Scenario Innovation Action Plan. The plan proposes that by 2030, a batch of high-value application scenarios will be opened, a batch of high-level algorithm models will be formed, and a batch of new infrastructure, new technology equipment, new service models, and new industrial forms will emerge, driving AI-led high-quality development and high-level safety in transportation.
The plan focuses on ten key directions, including intelligent driving, smart highways, intelligent railways, intelligent shipping, smart civil aviation, smart postal services, intelligent construction and maintenance, smart travel services, smart freight, and intelligent safety supervision. It deploys pilot demonstration work for typical application scenarios such as intelligent monitoring of road network operation status, autonomous health management of railway equipment, intelligent navigation of ship formations, intelligent security checks for air passengers, intelligent sorting of mail and parcels, intelligent inspection of infrastructure, maritime intelligent rescue, and digitalized law enforcement.
The plan outlines a progression path from technological breakthroughs and scenario validation to industrial application and system upgrading. In the field of intelligent driving, "end-to-end" large model development and testing will be carried out, and integrated application validation will be promoted in bulk cargo trunk transportation scenarios such as minerals, containers, and grain. For smart highways, multimodal large models will be used to enhance the perception capability of all highway elements, and innovative applications of AI in areas such as free-flow toll collection will be explored. Intelligent railways will focus on upgrading the intelligence of train and operation control systems, encouraging the use of visual large models and intelligent robots to automate inspection operations.
In the field of intelligent shipping, the focus is on integrating key technologies such as ship-shore coordination, port and shipping scheduling, and intelligent navigation of ship formations. Smart civil aviation will develop civil aviation vertical domain large models, deepen the application of biometric recognition and intelligent security inspection technologies throughout the entire passenger service process, and explore scenario applications for vertical takeoff and landing aircraft and drones. Smart postal services will advance the research and development of technologies such as intelligent sorting of mail and parcels, intelligent security inspection, and unmanned delivery, accelerating the large-scale deployment of intelligent terminals at end nodes. In intelligent construction and maintenance, key technology applications such as defect identification, trend prediction, and maintenance decision-making will be carried out for structural facilities including bridges, tunnels, and pavements.
The plan also proposes building an AI-based multimodal travel planning and route recommendation system, deepening the integrated application of AI technology in freight scenarios, and focusing on the field of intelligent safety supervision to enhance capabilities such as traffic safety situation awareness, automatic identification of abnormal events, and intelligent accident simulation. The aforementioned five departments will, based on the development trend of AI technology, release guidance for building typical application scenarios in batches, and incorporate mature results into the "AI + Transportation" innovation achievement database, promoting the transformation of relevant standards and achievements.
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