12月22日至23日，2026年全国交通运输工作会议在交通运输部党校召开。会议总结2025年和"十四五"时 期交通运输工作，并部署2026年重点工作。 会议强调，做好明年交通运输工作，要在稳投资、保持客货运量等主要指标平稳增长、保障安全稳定上 积极作为，努力在完善基础设施网络、降低全社会物流成本、培育发展新质生产力上取得新突破。 其中，推动交通物流降本提质增效、深入实施"人工智能+交通运输"行动、高速公路服务区提升行动 等，成为明年重点工作。 同济大学中国交通研究院副院长王洧向21世纪经济报道记者表示，经过"十四五"时期的建设与发展，综 合交通运输体系互联互通和网络韧性水平进一步增强，推动了区域协调发展和高水平对外开放。面 向"十五五"，需要加快完善多向立体、内畅外联的综合交通网络，推动人工智能等与物流深度融合，打 造更具韧性的现代物流系统。 详解"三个转向" 会议指出，过去五年，交通运输事业取得新的重大成就，我国综合交通运输体系建设实现突破性进展， 交通运输综合能力、服务品质、运行效率大幅提升，为"十五五"交通运输发展奠定了坚实基础。 会议强调，要准确把握"十五五"时期交通运输发展的阶段性特点，深刻认识"三 ...

在交通物流降本提质增效方面，会议明确，要实施多式联运攻坚行动，提升交通物流运行质效，强化综 合运输保通保畅。 21世纪经济报道 记者周潇枭 见习记者张旭 北京报道 12月22日至23日，2026年全国交通运输工作会议在交通运输部党校召开。会议总结2025年和"十四五"时 期交通运输工作，并部署2026年重点工作。 会议强调，做好明年交通运输工作，要在稳投资、保持客货运量等主要指标平稳增长、保障安全稳定上 积极作为，努力在完善基础设施网络、降低全社会物流成本、培育发展新质生产力上取得新突破。 其中，推动交通物流降本提质增效、深入实施"人工智能+交通运输"行动、高速公路服务区提升行动 等，成为明年重点工作。 同济大学中国交通研究院副院长王洧向21世纪经济报道记者表示，经过"十四五"时期的建设与发展，综 合交通运输体系互联互通和网络韧性水平进一步增强，推动了区域协调发展和高水平对外开放。面 向"十五五"，需要加快完善多向立体、内畅外联的综合交通网络，推动人工智能等与物流深度融合，打 造更具韧性的现代物流系统。 会议指出，过去五年，交通运输事业取得新的重大成就，我国综合交通运输体系建设实现突破性进展， 交通运输综合能 ...

"人工智能应该说是一种革命性的技术发展潮流，对于各行各业都是赋能的最佳契机。"12月23日，在国 务院新闻办公室就新时代交通运输服务经济社会高质量发展举行的新闻发布会上，交通运输部副部长李 扬表示，交通运输行业作为人工智能落地领域，场景多元、数据丰富、应用需求巨大，是一个庞大的人 工智能应用场景。 交通运输部高度重视人工智能应用。今年9月，交通运输部会同国家发展改革委等六部门，印发《关 于"人工智能+交通运输"的实施意见》，对人工智能在公路、铁路、水路、民航、邮政和综合交通方面 进行了总体部署，画出了"路线图"。 除政策体系不断完善，李扬介绍，在夯实数智底座方面，交通运输部加快建设国家综合交通运输信息平 台，谋划和部署综合交通运输大模型，推动打造"数据中枢"和"智慧大脑"；在加快场景培育方面，形成 了860项场景应用的"全景图"，聚焦智慧港口、应急物流、国际物流供应链韧性等重点方向，推动建设 青岛、绵阳、厦门3家国家人工智能应用中试基地，加快打造"人工智能+交通运输"创新高地；在优化产 业生态方面，指导成立了交通大模型创新与产业联盟，首批已吸纳55家头部企业，成功举办首届综合交 通运输大模型智能体创新应用大赛 ...

为推动加速各种场景应用，交通运输部启动"十百千"创新行动。李扬介绍，该行动聚焦智慧公路、智慧 航运等"十"个方向，面向"百"项场景进行试点布局，聚集"千"家创新主体。同时，采用"科技+工程"方 式，聚焦大通道货车智能驾驶和内河货运船舶自主编队航行等重大场景，建设一批标志性创新工程。 "人工智能应该说是一种革命性的技术发展潮流，对于各行各业都是赋能的最佳契机。"23日，在国务院 新闻办公室就新时代交通运输服务经济社会高质量发展举行的新闻发布会上，交通运输部副部长李扬表 示，交通运输行业作为人工智能落地领域，场景多元、数据丰富、应用需求巨大，是一个庞大的人工智 能应用场景。 交通运输部高度重视人工智能应用。今年9月，交通运输部会同国家发展改革委等六部门，印发《关 于"人工智能+交通运输"的实施意见》，对人工智能在公路、铁路、水路、民航、邮政和综合交通方面 进行了总体部署，画出了"路线图"。 同时，李扬表示，交通运输部将进一步完善治理体系，推动交通运输领域人工智能标准化建设，有序推 进高质量数据集、智能体应用、安全测评等关键领域的标准布局，积极参与国际标准制定和规则对接， 构建开放包容的制度体系。 "'十五五'期间 ...

Core Viewpoint - The integration of artificial intelligence (AI) with transportation is transforming production and lifestyle, enhancing precision, reliability, and efficiency in traffic management and infrastructure development [1] Group 1: Implementation and Goals - The Ministry of Transport and six other departments issued implementation opinions on "AI + Transportation," outlining 16 specific tasks across four areas, aiming for a fully advanced intelligent transportation network by 2030 with self-controlled core technologies [1][2] - The goal includes achieving a 20% increase in traffic efficiency and a 30% improvement in emergency response efficiency through intelligent monitoring and management systems [3] Group 2: Technological Development - The focus is on application technology breakthroughs, innovation in intelligent products, and the construction of a comprehensive transportation model, which will support the intelligent transformation of the industry [2] - The establishment of a transportation big model, which includes high-quality datasets and algorithm libraries, is crucial for promoting technological sharing and collaborative innovation [2] Group 3: Application Scenarios - The implementation opinions cover seven key areas for intelligent applications, including combined auxiliary driving, smart railways, and intelligent shipping, providing ample testing grounds for new technologies and products [4] - In the water transport sector, 52 automated terminals have been established, and intelligent systems are being applied in over ten domestic and international ports [4] Group 4: Infrastructure Support - The integration of AI in transportation relies on robust infrastructure, with specific deployments in computing power, data, and network capabilities to ensure effective support for intelligent systems [7] - The construction of a comprehensive transportation big data center is underway to enhance data sharing and the creation of high-quality datasets, which are essential for AI model training and application [7]

Core Viewpoint - The transportation industry in China has shown stable and progressive economic performance in the first three quarters of the year, with significant growth in freight volume, port throughput, and fixed asset investment, indicating a robust support for economic development [1][2][3]. Group 1: Freight Volume and Port Throughput - In the first three quarters, the total operating freight volume reached 432.5 billion tons, a year-on-year increase of 3.89%, with a 3.9% growth in the third quarter, accelerating by 0.9 percentage points compared to the second quarter [1][2]. - The port cargo throughput was 135.7 billion tons, up 4.6% year-on-year, with a 5.8% increase in the third quarter, also accelerating by 1.1 percentage points from the second quarter [3][4]. - Container throughput reached 26 million TEUs, growing by 6.3% year-on-year, with domestic and foreign trade throughput increasing by 3.2% and 8.4%, respectively [3]. Group 2: Personnel Flow - The cross-regional personnel flow reached 5.06 billion person-times in the first three quarters, a year-on-year increase of 3.1%, with rail and civil aviation passenger volumes growing by 6% and 5.2%, respectively [3][4]. - During the recent National Day and Mid-Autumn Festival holiday, cross-regional personnel flow peaked at 2.433 billion person-times, averaging 304 million person-times per day, marking a historical high for the same period [3]. Group 3: Fixed Asset Investment - Fixed asset investment in transportation reached 2.6 trillion yuan in the first three quarters, with railways, highways, waterways, and civil aviation investments amounting to 593.7 billion yuan, 1.78 trillion yuan, 160.5 billion yuan, and 82.9 billion yuan, respectively [4]. - Specific highway investments included 929.6 billion yuan for expressways, 434.3 billion yuan for ordinary national and provincial roads, and 275.3 billion yuan for rural roads [4]. Group 4: Future Initiatives - The Ministry of Transport is focusing on the integration of artificial intelligence in transportation, with plans to enhance technological capabilities and promote innovative applications across various transportation sectors [7][8]. - The "One Port One Policy" initiative aims to deepen the integration of container rail-water transport, targeting a 15% annual growth in container rail-water transport volume by 2027 [10][11]. Group 5: Green Transportation Initiatives - The Ministry is advancing zero-carbon transportation projects, having launched 48 pilot projects across various transportation modes, emphasizing the importance of green transformation in the sector [13][14]. - Future plans include enhancing the standard system for zero-carbon transportation and promoting innovative energy solutions in transportation facilities [14]. Group 6: Legal Framework and Regulations - The revised Maritime Code is expected to significantly impact the shipping industry by providing clearer legal guidelines and enhancing the legal framework for maritime activities, thus supporting high-quality development in shipping and trade [30][31].

Core Viewpoint - The Ministry of Transport is set to develop a "Comprehensive Transportation Big Model" that integrates artificial intelligence with transportation, aiming to enhance decision-making and operational efficiency across the industry [1][2]. Group 1: Model Development - The Comprehensive Transportation Big Model is described as a foundational strategic resource that will transform the industry from experience-driven to data-driven operations [1]. - The model will support various aspects of transportation, including infrastructure planning, transport organization, safety, and public service [1]. - The Ministry will adopt a "1+N+X" framework to coordinate innovation efforts, focusing on creating an algorithm library, datasets, and toolchains for AI applications [1]. Group 2: Innovation and Collaboration - An innovation competition has been launched to stimulate creativity in the industry, with 748 teams participating, showcasing the potential of AI in transportation [2]. - The competition aims to identify and cultivate practical intelligent solutions, with results expected to enhance the Comprehensive Transportation Big Model [2]. - A Transportation Big Model Innovation and Industry Alliance has been established, consisting of 55 leading companies and institutions, to foster collaboration and resource sharing [2].

Core Viewpoint - The joint implementation opinion by seven departments aims to promote the large-scale innovative application of artificial intelligence in the transportation sector through the establishment of a comprehensive transportation model and 16 specific tasks [1] Group 1: Goals and Objectives - The overall goal of the "Artificial Intelligence + Transportation" initiative is to achieve widespread application of AI in typical scenarios of the transportation industry by 2027, with the deployment of a comprehensive transportation model system and the establishment of several landmark innovative projects [3] - By 2030, the initiative aims for deep integration of AI into the transportation sector, with a fully advanced intelligent comprehensive transportation network and self-controlled key core technologies, positioning the overall level among the world's leaders [3] Group 2: Key Technology Development - The opinion emphasizes the need for application technology breakthroughs, accelerating innovation in smart products, and enhancing the research and application of new technologies and equipment, including the construction of a comprehensive transportation model [5] Group 3: Focus Areas - The initiative targets seven key areas, including the promotion of combined auxiliary driving demonstrations, development of intelligent railway equipment and systems, upgrading port intelligence and smart shipping, creating smart civil aviation, enhancing postal and express delivery intelligent facilities, building intelligent maintenance systems for transportation infrastructure, and advancing digitalization in intermodal transport and smart logistics [7] - Additionally, the opinion outlines the construction of a multimodal and multi-scenario transportation big data resource system, along with a unified transportation data transmission network that integrates land, air, and cloud, providing a high-speed, reliable, and secure support system for AI applications [7]

Core Viewpoint - The Ministry of Transport and six other departments have jointly issued implementation opinions to promote the large-scale innovative application of artificial intelligence in the transportation sector [1] Group 1: Implementation of AI in Transportation - The Ministry of Transport will implement a series of landmark innovative projects under the "AI + Transportation" initiative, identifying over 860 typical application scenarios within the vast transportation infrastructure [2][9] - Future projects will adopt a "technology + engineering" model, focusing on intelligent disaster management for major road disasters and high-speed maglev systems [4] Group 2: Current State of Transportation Infrastructure - China's comprehensive three-dimensional transportation network has exceeded 6 million kilometers, with over 190,000 kilometers of expressways and more than 48,000 kilometers of operational high-speed railways, ranking first globally [5] - China holds six of the top ten global ports in terms of container throughput [5] Group 3: Technological Advancements and Innovations - The Ministry will accelerate the innovation and research of technological equipment to provide a technical foundation for building an intelligent comprehensive transportation network [7] - Recent advancements include intelligent driving for freight trucks, autonomous navigation for inland cargo ships, and intelligent disaster management systems for transportation facilities [9] Group 4: Growth of AI Industry - The AI industry in China has achieved chain development, with continuous innovation and breakthroughs in technology, leading to sustained growth in the industry scale [10] - The diverse transportation scenarios, rich data, and broad market provide a solid foundation for the implementation of the "AI + Transportation" initiative [10] Group 5: Automation and Efficiency - China's automated terminal construction scale, operational efficiency, and technology level are among the world's leading, with rapid promotion of applications such as autonomous vehicles, intelligent shipping, and smart logistics [12] - The integration of AI technology with transportation will restructure transportation organization methods, optimize resource allocation efficiency, and innovate service supply models [14]

Core Viewpoint - The implementation of artificial intelligence in the transportation sector is crucial for China's strategic development, aiming for large-scale innovation and application by 2027 and deep integration by 2030 [1][2]. Group 1: Implementation Goals - The "Artificial Intelligence + Transportation" initiative aims for widespread application of AI in typical transportation scenarios by 2027, with a comprehensive transportation model established [2]. - By 2030, the goal is to achieve deep integration of AI in the transportation sector, promoting a smart comprehensive transportation network and ensuring key technologies are independently controllable [2]. Group 2: Specific Applications - In road transportation, the focus will be on breakthroughs in intelligent driving technology, enhancing the role of smart assistance for drivers and improving highway traffic management [3]. - Rail transport will see the introduction of intelligent trains capable of self-thinking, with advanced scheduling systems and smart upgrades to enhance operational efficiency [3]. - The maritime sector will benefit from smart shipping initiatives, improving port operations and logistics efficiency through intelligent systems [4]. Group 3: Infrastructure and Support - The initiative emphasizes the need for robust foundational support, including optimized computing power, high-quality data set construction, and the development of ubiquitous network facilities [5]. - A comprehensive data resource system will be established to support AI applications in transportation, ensuring high-speed, reliable, and secure data transmission [5]. Group 4: Future Actions - The next steps involve accelerating the construction of a comprehensive transportation model and implementing innovative actions to fully empower AI in the sector, aiming for a seamless flow of people and goods [5].