Interpretation by central media | How can artificial intelligence make transportation more "intellig

With the help of intelligent construction equipment, transportation engineering construction operations are more precise and of higher quality; with the support of intelligent transportation systems, accidents are reduced and traffic is smoother; relying on intelligent design algorithms, routes are more rational and travel is greener... "Artificial intelligence + transportation" is changing production and lifestyles.

Recently, seven departments, including the Ministry of Transport, jointly issued the "Implementation Opinions on 'Artificial Intelligence + Transportation'", focusing on...Sixteen specific tasks were deployed in four aspects, including technology supply and scenario empowerment.It also proposed that by 2030, a comprehensive intelligent three-dimensional transportation network will be fully developed, key core technologies will be independently controllable, and the overall level will be among the world's leading levels.

This will help improve the traffic efficiency of the demonstration corridor by about 20%.

The deep integration of artificial intelligence and transportation is based on solid technological support.The guidelines focus on three main areas: applied technology breakthroughs, intelligent product innovation, and the construction of a comprehensive transportation big data model, aiming to increase the supply of key technologies. "The emphasis on increasing the supply of key technologies aims to streamline the innovation chain from technology research and development to product application," said Wang Yunpeng, Academician of the Chinese Academy of Engineering and President of Beijing University of Aeronautics and Astronautics. He specifically mentioned the explicit proposal to build a comprehensive transportation big data model, which, by constructing a "transportation brain" encompassing various high-quality datasets, algorithm libraries, and toolchains, will provide unified model capabilities to support the industry's intelligent transformation, thereby promoting technology sharing and collaborative innovation.

In recent years,The construction of large-scale models in the transportation sector is accelerating.At the national level, in August of this year, the Transportation Big Data Model Innovation and Industry Alliance, guided by the Ministry of Transport, was established. It has already brought together more than 50 leading enterprises, AI companies, and related universities and research institutions, identifying 860 typical AI application scenarios. At the enterprise level, China Logistics Group released the "Flow Cloud" big data model, applicable to more than 40 sub-scenarios such as multimodal transport and warehousing scheduling; the "Smart Hub" built based on Baidu's transportation big data model has been implemented in more than 10 cities, connecting over one million vehicles equipped with L2-level assisted driving functions.

"Demonstration areas across the country are currently implementing applications such as road network operation monitoring and early warning based on large-scale models, proactive control of trunk lines with high traffic volume, and integrated travel services," said a relevant official from the Ministry of Transport. The official explained that through intelligent expansion of trunk line corridors, a multi-level, refined traffic management model is being constructed.This will help increase traffic efficiency in the demonstration corridor by 20%.about,Emergency response efficiency improved by 30%about.

Artificial intelligence, through big data analysis and high-precision modeling, provides a solid digital foundation for transportation infrastructure.Data shows that in the 20 demonstration areas for the digital transformation and upgrading of highway and waterway transportation infrastructure, the total length of the demonstration channels exceeds 60,000 kilometers, including about 54,000 kilometers of highways and 7,500 kilometers of waterways, basically covering the main framework of the national comprehensive three-dimensional transportation network.

According to Li Hui, an academician of the Chinese Academy of Sciences and a professor at Harbin Institute of Technology, the construction of a digital foundation for "artificial intelligence + transportation" will effectively support a leap in the level of digitalization of transportation infrastructure and provide a scientific basis for transportation planning, construction and management.

Application scenarios in fields such as deployment of integrated driver assistance systems

The key to the deep integration of artificial intelligence and transportation lies in a wide range of application scenarios.The feedback system deploys intelligent application scenarios in seven key areas, including combined assisted driving, intelligent railways, and smart shipping, accelerating the empowerment of innovative scenarios. "These scenarios cover almost all sub-sectors of transportation, providing a richer testing ground and application space for new technologies and products," said Wang Yunpeng.

Let's look at water transport first.52 automated terminals have been built, and the independently developed intelligent operating system for fully automated container terminals has been applied in more than 10 terminals at home and abroad. The electronic map of waterways has been successfully applied to the main channel and branch channels of the Yangtze River... The intelligent transformation of ports, waterways and ships is accelerating, effectively releasing the efficiency of water transport.

my country's inland waterway shipping faces problems such as the overall low grade of waterways and a "small, scattered, and complex" shipping market."To further unleash transportation efficiency, it is necessary to upgrade and transform waterways and promote the organic integration of shipping system elements such as waterways, ports, and navigation aids. This requires increasing the application of artificial intelligence." Yan Xinping, an academician of the Chinese Academy of Engineering and a professor at Wuhan University of Technology, suggested that my country is currently promoting the construction of major waterway projects such as the Pinglu Canal and the Three Gorges Waterway New Channel. These should be used as a starting point to accelerate the transformation of the shipping system from single-point breakthroughs to a "ship-cargo-port, people-machine-environment" system.

Let's look at the highway again.The Beijing-Xiong'an Expressway is equipped with Baidu Smart Cloud, which uses a large visual and language model to achieve "second-level push" of important abnormal events; Didi Autonomous Driving and GAC Aion jointly created a new generation of pre-installed autonomous driving vehicles... Autonomous driving and vehicle-road collaboration are enabling more "smart" cars to drive on "intelligent" roads.

"The guidelines adhere to demand-oriented and scenario-driven principles, aiming to drive the entire industry to improve quality and efficiency through benchmark demonstrations," Wang Yunpeng said. Taking combined assisted driving as an example, he suggested supporting innovation in key regions based on existing foundations, exploring provincial and ministerial collaboration and vehicle-road-cloud integration, which will accelerate the large-scale commercialization of assisted driving.

Strengthen support in computing power, data, and networks.

The deep integration of artificial intelligence and transportation relies heavily on the support of new infrastructure. The guidelines outline specific plans in three areas: computing power, data, and networks, strengthening the guarantee of these essential resources.

Regarding computing power, the opinion proposes to strengthen the overall planning of computing power resources in the industry and to enhance computing power support in accordance with local conditions by relying on major transportation infrastructure.According to a Baidu representative, Baidu AI Cloud can provide high-performance computing clusters to support the large-scale smart highway model based on different scenario requirements, ensuring continuous and stable computing power for event detection, emergency dispatch, and other tasks. "In the future, we will deepen the application of the large-scale model in more highway scenarios to serve the construction of smart highways."

In terms of data, the next step will be to accelerate the construction of a comprehensive transportation big data center, promote data sharing and the construction of high-quality datasets, and better unleash the value of data elements."Data is the 'fuel' for training and applying large-scale artificial intelligence models," said a representative from China Logistics Group. China Logistics has built a comprehensive data collection system covering the entire supply chain from people to vehicles to goods to locations to roads, creating high-quality datasets for various typical scenarios such as transportation trajectories and multimodal transport. "In the future, we will accelerate the construction of a digital product matrix to help the industry move from 'experience-based decision-making' to 'data-driven intelligent decision-making.'"

In terms of networks, we will promote the integrated application of various network technologies, build an intelligent sensing system and high-speed data transmission channels, and provide low-latency, high-reliability, and wide-coverage connectivity for vehicle-road cooperation, remote control, real-time monitoring, and other applications.

This article is reprinted from:People's Daily (November 13, 2025, Page 02)

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