二是加速创新场景赋能。充分发挥行业应用场景丰富的优势，从组合辅助驾驶、智能铁路、智慧航运、 智慧民航、智慧邮政、智能建养、联程联运与智慧物流等领域部署7项重点任务，以场景创新为牵引， 以试点示范为抓手，打造一批可复制、可推广的典型应用案例，形成以点带面、整体提升的发展格局， 拓展人工智能应用广度。 三是加强核心要素保障。提出了统筹优化算力供给能力、加快高质量数据集建设、推动泛在网络设施建 设等3项重点任务，因地制宜强化算力保障，构建覆盖多模态、多场景的交通运输大数据资源体系，打 造天地一体、云网融合的交通数据传输网络，为人工智能应用提供高速、可靠、安全的支撑体系。 新华财经北京9月26日电交通运输部会同国家发展改革委、工业和信息化部、国家数据局、国家铁路 局、中国民用航空局、国家邮政局发布《关于"人工智能+交通运输"的实施意见》（以下简称《实施意 见》）。 《实施意见》明确了"人工智能+交通运输"行动总体目标：到2027年，人工智能在交通运输行业典型场 景广泛应用，综合交通运输大模型体系落地部署，普及应用一批智能体，建成一批标志性创新工程；到 2030年，人工智能深度融入交通运输行业，智能综合立体交通网全面推 ...

● 本报记者 李嫒嫒 在9月23日召开的2025世界智能网联汽车大会新闻发布会上，交通运输部科技司综合处处长邢凡胜在回 答中国证券报记者提问时表示，面向"十五五"，交通运输部正在深入推进"人工智能+交通运输"行动， 将把人工智能在交通运输领域规模化创新应用作为主攻方向。交通运输部将抓紧出台《"人工智能+交 通运输"实施意见》，这个意见即将发布施行。 组织建设综合交通运输大模型 邢凡胜表示，"十四五"以来，交通运输部依托国家重点研发计划，加强智慧交通关键技术攻坚，组织开 展了两批次共50项智能交通先导应用试点，建设了国家综合交通运输信息平台，交通运输数字化、网络 化、智能化水平不断迈上新的台阶。 中国证券报记者注意到，我国将加快建设综合交通运输大模型。今年8月，交通运输部指导成立了交通 大模型创新与产业联盟。联盟已汇聚了50多家行业龙头企业、人工智能头部公司以及相关高校院所。 作为率先发起成立大模型联盟的行业部门，交通运输部将通过共用算力、共享数据、共训模型，用好各 类创新资源、建好综合交通运输大模型，持续拓展应用场景，创造开放、繁荣、可持续的交通大模型产 业生态，支撑人工智能在交通运输行业的规范化应用，引领发 ...

Core Viewpoint - The Ministry of Transport of China is advancing the "Artificial Intelligence + Transportation" initiative, focusing on large-scale innovative applications of AI in the transportation sector, with an implementation plan set to be released soon [1][2]. Group 1: Key Initiatives - The Ministry will issue the "Implementation Opinions on Artificial Intelligence + Transportation" shortly [2]. - A comprehensive transportation model will be established by collaborating with industry and social forces, accelerating the application of intelligent systems [2]. - The Ministry plans to adopt a "Technology + Engineering" model to implement innovative projects in areas such as autonomous driving for trucks and intelligent disaster management [2]. Group 2: Industry Development - The scale of the intelligent connected vehicle industry is rapidly increasing, with 7.76 million new passenger cars equipped with Level 2 driving assistance sold from January to July 2025, achieving a penetration rate of 62.58% [3]. - Key technologies have made significant breakthroughs, establishing a complete industrial chain that includes intelligent cockpits and autonomous driving, with AI models being deployed in vehicles [3]. - A total of 88 national and industry standards have been published, focusing on urgent standards for driving assistance and autonomous systems [3]. Group 3: Future Plans - The Ministry of Industry and Information Technology will compile a new development plan for the intelligent connected vehicle industry, supporting key technologies such as automotive AI and intelligent chassis systems [3]. - Efforts will continue to improve the automotive technology standard system and promote pilot projects for intelligent connected vehicles [3].

Core Insights - The transportation sector in China is experiencing a continuous recovery, with stable growth in freight volume and inter-regional personnel movement, alongside rapid growth in port cargo throughput and high levels of fixed asset investment [1][2][3] Investment Performance - In July, China's fixed asset investment in transportation reached 306.1 billion yuan, with railways accounting for 77.1 billion yuan, highways 200.5 billion yuan, waterways 17.3 billion yuan, and civil aviation 11.2 billion yuan [2][3] - For the first seven months of the year, total fixed asset investment in transportation was 1.95 trillion yuan, with railway investment growing by 5.6% year-on-year [3] Freight Volume Growth - From January to July, the national railway transported 2.331 billion tons of goods, with a daily average of 183,300 cars, reflecting year-on-year increases of 3.3% and 4.1% respectively [4][6] - In July, the total operating freight volume reached 4.97 billion tons, a year-on-year increase of 3.4%, with rail, road, waterway, and civil aviation freight volumes growing by 4.5%, 3.3%, 3.4%, and 15.3% respectively [6][7] Technological Advancements - The Ministry of Transport emphasized the need to cultivate new productive forces in the transportation sector, focusing on major technological breakthroughs and the development of smart transportation [7][8] - The establishment of the Transportation Big Model Innovation and Industry Alliance marks a shift towards collaborative development in transportation modeling, aiming to leverage artificial intelligence for industry innovation [7][8]

Core Viewpoint - The Ministry of Transport is advancing the "Artificial Intelligence + Transportation" initiative by developing a comprehensive transportation model to enhance industry efficiency and safety through AI applications [2][3][4]. Group 1: AI Model Development - The Ministry of Transport has established a comprehensive transportation model framework based on a "1 + N + X" architecture, which includes a universal technical base, various specialized models, and specific intelligent agents for practical applications [3]. - A total of 860 typical AI application scenarios have been identified, focusing on key areas such as operational monitoring and safety regulation [3][4]. - The Ministry is organizing the first comprehensive transportation intelligent agent innovation application competition to promote research and practical applications [4]. Group 2: Industry Collaboration - The Ministry has formed the Transportation Model Innovation and Industry Alliance, which has attracted over 50 leading companies and academic institutions to collaborate on the development of the transportation model [4]. - The Ministry emphasizes a collaborative approach involving industry, academia, and research to avoid redundancy and maximize resource utilization in building the comprehensive transportation model [4]. Group 3: Flood Prevention and Safety Measures - The Ministry has implemented a robust monitoring and emergency response system for flood prevention, activating flood defense responses 38 times since August 25, including multiple levels of alerts [6][7]. - Safety measures include enhanced supervision of road transport and urban public transport, with a focus on extreme weather conditions to ensure public safety [7]. - The Ministry is committed to maintaining a stable transportation environment during flood periods, ensuring the safety of both the industry and the public [6][7].

Group 1 - The core viewpoint is that China's transportation sector is experiencing a steady recovery, with significant growth in freight volume and cross-regional passenger flow in July 2023 [1][2] - From January to July 2023, the total fixed asset investment in transportation reached 1.95 trillion yuan, with July alone accounting for 306.1 billion yuan [1][2] - The freight volume in July was 4.97 billion tons, a year-on-year increase of 3.4%, with rail, road, waterway, and civil aviation freight volumes growing by 4.5%, 3.3%, 3.4%, and 15.3% respectively [1][2] Group 2 - The port cargo throughput in July was 1.54 billion tons, up 6.9% year-on-year, with both domestic and foreign trade throughput increasing by 7.6% and 5.5% respectively [1][2] - The cross-regional passenger flow reached 5.71 billion person-times in July, a year-on-year increase of 2.2%, with rail, waterway, and civil aviation passenger volumes growing by 6.6%, 2.1%, and 3.9% respectively [2] - The Ministry of Transport is promoting the establishment of a comprehensive transportation big model, which aims to leverage artificial intelligence in the transportation sector [3][4] Group 3 - The comprehensive transportation big model will be developed based on a "1+N+X" technical architecture, which includes a universal technical base, various specialized models, and intelligent agents for specific business scenarios [3] - The initiative has gathered over 50 leading companies in the industry, AI firms, and relevant academic institutions to support the development of the big model [3][4] - The Ministry of Transport emphasizes sustainable development and resource sharing in building the comprehensive transportation big model to avoid redundancy and waste [4]

Core Insights - The Ministry of Transport of China is accelerating the construction of a comprehensive transportation large model [1] - An innovation and industry alliance for transportation large models has been established, gathering over 50 leading companies and AI firms [1][2] Group 1: Model Framework - The Ministry proposed a "1+N+X" technical architecture for the large model, where "1" represents a universal technical base, "N" refers to training various domain-specific models, and "X" denotes intelligent agents for specific business scenarios [1] - The focus is on creating a common capability to address industry issues by utilizing high-quality datasets from various sectors [1] Group 2: Application and Deployment - The Ministry has identified 860 typical AI application scenarios within the industry, concentrating on key areas such as operational monitoring and safety regulation [1] - The first batch of intelligent agents will be deployed on the National Comprehensive Transportation Information Platform [1] Group 3: Industry Ecosystem - The Ministry aims to create an open, prosperous, and sustainable ecosystem for the transportation large model industry by sharing computing power, data, and training models [2] - This initiative is expected to support the standardized application of AI in the transportation sector and enhance new productive forces in the industry [2]

Core Insights - The Ministry of Transport has established the Transportation Big Model Innovation and Industry Alliance to accelerate the development of a comprehensive transportation big model, which is a key initiative to promote the "AI + Transportation" action [1][2] - The comprehensive transportation big model aims to leverage AI technology to address industry challenges and create a collaborative ecosystem for development and application [1][2] Group 1: Framework and Structure - The Ministry has proposed a "1+N+X" technical architecture for the comprehensive transportation big model, where "1" represents a universal technical base, "N" refers to various specialized models trained on high-quality datasets, and "X" denotes intelligent agents for specific business scenarios [2] - The comprehensive transportation big model is not a single product but a collection of various models and algorithms, requiring collaboration among industry, academia, research, and application sectors [2] Group 2: Implementation and Deployment - The Ministry has identified 860 typical AI application scenarios within the industry, focusing on key areas such as operational monitoring and safety regulation [2] - The first batch of intelligent agents will be deployed on the National Comprehensive Transportation Information Platform, and an innovation application competition will be held to promote practical applications of ideas [2] Group 3: Collaborative Ecosystem - The Ministry aims to create a collaborative industrial ecosystem by establishing four platforms for technology collaboration, data circulation, application innovation, and communication, along with a hub for industrial transformation [2] - The Transportation Big Model Innovation and Industry Alliance has gathered over 50 leading companies in the industry, AI firms, and relevant academic institutions, positioning itself as a key player in the development of the comprehensive transportation big model [2]

Core Viewpoint - The Ministry of Transport has established the Transportation Large Model Innovation and Industry Alliance to accelerate the development of a comprehensive transportation large model, which is a significant step in promoting the "Artificial Intelligence + Transportation" initiative [2] Group 1: Initiative Overview - The comprehensive transportation large model is not a specific product but a collection of various models and algorithms aimed at enhancing the ability to solve industry problems [2] - The initiative is part of the Ministry's efforts to implement decisions from the Central Committee and the State Council [2] Group 2: Industry Collaboration - The Transportation Large Model Innovation and Industry Alliance has gathered over 50 leading industry companies, top AI firms, and relevant academic institutions [2] - The Ministry is organizing a list of 860 typical AI application scenarios, focusing on key areas such as industry operation monitoring and safety regulation [2] Group 3: Future Development - The Ministry emphasizes a scientific and sustainable approach to building the comprehensive transportation large model, avoiding redundancy and waste [2] - Future goals include expanding application scenarios and creating an open, prosperous, and sustainable ecosystem for the transportation large model industry to support the standardized application of AI in the transportation sector [2]

Group 1 - Xiaomi's Vice President Li Xiaoshuang addressed concerns regarding the SU7 electric vehicle's charging capabilities abroad, stating that compatibility with charging interfaces and distribution of charging stations are key factors. He noted that in regions like Central Asia and Europe, the majority of charging interfaces are compatible with the domestic experience, and charging stations are widely available, with an average of 150-200 kilometers between superchargers in Central Asia and 20-50 kilometers in Europe [2] - The new generation of IM Motors LS6 has been officially announced with eight configuration versions, starting at a pre-sale price of 209,900 yuan. The vehicle features the "Star" super-range technology, a 66 kWh battery, and an 800V high-voltage platform, achieving a pure electric range of 450 kilometers and supporting a quick charge of 310 kilometers in just 15 minutes. The official launch and delivery are expected on September 10 [2] - Great Wall Motors announced the full launch of its production line in Brazil, marking a significant milestone for Chinese automakers in high-quality overseas manufacturing. The first vehicle produced is the Haval H6 GT, with plans to produce additional models such as the Haval H9 and Poer pickup in the next phase [2] Group 2 - The establishment of the Transportation Big Model Innovation and Industry Alliance in Beijing signifies a shift from fragmented exploration to collaborative development in comprehensive transportation modeling. The alliance includes 55 initial members from various sectors, including industry enterprises, AI companies, and academic institutions, covering all aspects of transportation [2]