新华财经北京11月25日电（记者沈寅飞）未来车站什么样？记者从佳都科技获悉，其带来的"交通佳鸿"操作系统，通过对车站设备进行鸿蒙化改造，在试点 车站的闸机、乘客自助终端等设备实现基于开源鸿蒙的系统适配，重新定义了未来车站的运行方式。此举，为车站设备向统一、高效的国产化技术生态演 进，为智慧车站的自主可控与互联互通奠定基础。 从早期IT分销到成为"AI+大交通"领域领军者之一，多年来，佳都科技紧跟国家战略，深耕技术创新，持续赋能实体经济，构建起覆盖智慧轨道交通、智慧 城市交通、城市治理的全场景服务能力。 近日，在"人工智能+"行动深入实施的背景下，新华财经专访了佳都科技集团董事长、执行总裁陈娇，解码企业战略转型密码，探寻"AI+城市"领域的未来发 展方向。 科技与资本的有效结合是企业实现产业转型的重要支撑 与此同时，佳都科技通过持续高研发投入和战略性投资并购完善产业生态，利用深厚的行业知识（Know-How）构建竞争壁垒。面对行业技术同质化、市场 竞争加剧的挑战，佳都科技以"技术产品化、经营属地化、业务国际化、产业一体化"为战略主轴，多维度构筑核心竞争力。 "科技与资本的有效结合是企业实现产业转型的重要支撑。" ...

海南自贸港智能交通产业招商大会为产业合作搭建专业平台 与"数"融合，打造智慧交通生态圈 海南日报全媒体记者 周晓梦 "路相通"是基础，"慧相连"是未来。11月21日，2025第二十届中国智能交通大会期间，海南自贸港 智能交通产业招商大会(以下简称招商大会)在海口举办。招商大会以"集'生态圈'力量助力海南自贸港智 能交通高质量发展"为主题，现场进行签约、揭牌、投资推介等活动，为推动智能交通产业在海南的落 地生根、开花结果提供合作交流平台。 "我宣布，海南省交通投资集团有限公司(以下简称海南交通集团)与安徽省交通控股集团有限公 司，智能交通产业生态共建合作，正式签约。"当天招商大会签约环节，在现场数百位嘉宾见证下，来 自两家省级交通企业代表的双手紧紧握在一起。这不仅是两份协议的交换，更是两大区域交通网络在智 慧化路径上的深度融合。 紧接着不到五分钟，海南交通集团再次登场，与八维通科技有限公司完成"智能交通全场景项目"签 约。连续两场签约，从产业生态共建到具体场景落地，展现出海南在吸引产业伙伴、项目推进方面的高 效节奏。 揭牌后，中邮建技术有限公司、厦门算能科技股份有限公司、北京云星宇交通科技股份有限公司等 多家企 ...

在具体落地发展层面，康文杰介绍，中国铁塔依托其在海南超过1.6万座的通信铁塔资源，致力于 筑牢"车路云"协同的数字底座，为智能交通提供坚实基础;同时，积极布局低空经济领域，构建涵盖物 理基础设施、信息基础设施及无人机探测等能力的服务体系。此外，"我们还通过提供'空天地'一体化 的综合解决方案，为海南交通高质量发展赋能。"她说。 海南可打造智能交通 技术应用与产业发展新高地 参会嘉宾共论智能交通产业多领域机遇与发展 海南日报全媒体记者 周晓梦 11月20日下午，在2025第二十届中国智能交通大会期间，"圆桌论坛：海南自贸港封关背景下智能 交通产业多领域的机遇与发展"在海口举办。来自行业内的多位资深从业者与专家齐聚一堂，围绕海南 智能交通产业在政策、技术、市场等多方面的机遇及挑战展开交流探讨，共同为海南自贸港智能交通产 业的未来发展出谋划策。 在现场，与会嘉宾普遍认为，在政策东风与市场潜力的双重驱动下，通过产业链各方的协同创新与 务实合作，海南可致力于打造成为智能交通技术应用与产业发展的新高地。 "海南自贸港封关在即，当前正处在一个前所未有的黄金发展期。"海南省新能源汽车促进中心主任 张海涛提到，希望各方携手将宏 ...

Core Viewpoint - Rekor Systems, Inc. has developed a patented technology framework aimed at protecting personal privacy in the use of vehicle recognition data, particularly through automated license plate recognition (ALPR) systems, addressing growing concerns over surveillance and data sharing [1][2]. Technology Framework - The company has secured a patent for a method that encodes and anonymizes vehicle identification data at the point of collection, ensuring that specific vehicle information remains encrypted and accessible only with lawful authorization [2]. - This framework aims to establish consistent privacy safeguards through administrative guidance, legislation, or procurement rules, allowing public safety agencies to adopt it without disrupting current operations [4]. Privacy Safeguards - Key elements of Rekor's privacy framework include immediate encoding of vehicle identification data, real-time use of deidentified information for legitimate purposes, and the release of identifying information only upon receipt of a warrant or legally approved documentation [7]. - The framework also provides real-time access to "hot-listed" wanted vehicles to support urgent public safety needs [7]. Industry Impact - The innovative approach is designed to enhance public trust and accountability in ALPR programs, encouraging public safety agencies and policymakers to implement privacy-protected ALPR systems [5][6]. - Rekor Systems aims to provide this patented privacy framework to any authorized government agency seeking to improve privacy protections while maintaining operational efficiency [5].

Core Viewpoint - The article discusses the advancements and applications of the "Zhixing Traffic Model" developed by Jiadu Technology, emphasizing its role in transforming traffic management from "intelligent" to "smart" systems through AI and big data integration [3][4][8]. Group 1: AI Strategy and Model Development - Jiadu Technology is focusing on the integration of AI in the transportation sector, with the "Zhixing Traffic Model" being a key innovation that combines over 20 years of industry data and knowledge [4][6]. - The model has evolved from version 1.0 to 2.0, with applications in various scenarios such as customer service, equipment maintenance, video analysis, and passenger flow prediction [6]. - The company aims to create a dual-engine development path with "big model + operating system," planning to release the "Traffic Jiahong" operating system by May 2025 [6][8]. Group 2: Practical Applications and Benefits - The implementation of the Zhixing Traffic Model has led to significant improvements in peak traffic efficiency, such as the use of facial recognition and QR codes for faster subway access [5][6]. - The model facilitates real-time data analysis across different transportation modes, helping to optimize traffic organization and reduce congestion [5][6]. - In Guangzhou, nearly 50 trial intersections have adopted AI-driven traffic signal control, resulting in a 6.5% reduction in congestion during peak hours in key areas [7]. Group 3: Future Goals and Innovations - Jiadu Technology is actively participating in the construction of the Guangzhou Digital Traffic Command System, which integrates 28 types of traffic data and advanced technologies for enhanced traffic management [8]. - The company aims to leverage its AI capabilities to transition traffic systems from reactive to predictive decision-making, enhancing overall traffic governance [8]. - The upcoming 15th National Games will serve as a testing ground for these innovations, showcasing the potential of AI in urban traffic management [8].

Core Viewpoint - The collaboration between Nanjing-based Duolun Technology and Shenzhen-based Zhongqing Robotics aims to develop humanoid robots for traffic management, including DUI checks and patrols, marking a significant step towards integrating robotics into public safety and transportation sectors [3][4]. Group 1: Company Overview - Duolun Technology, established in 1995, has developed five major business segments: smart vehicle management, smart driving training, smart traffic, smart vehicle inspection, and new energy [4]. - The company is well-known for its large-scale traffic lights and integrated smart charging stations found throughout Nanjing [4]. Group 2: Strategic Partnership - On September 12, Duolun Technology signed a strategic cooperation agreement with Zhongqing Robotics to jointly develop humanoid robots for traffic applications [3]. - Duolun Technology has invested in Zhongqing Robotics, holding a 1.57% stake through a special investment fund established with Xpeng Motors [3]. Group 3: Product Development - The partnership will focus on optimizing humanoid robots for various scenarios, including DUI checks and patrols, with prototypes already in development [5]. - Duolun Technology plans to purchase at least 2,000 humanoid robots from Zhongqing Robotics over the next three years for deployment in key areas [4]. Group 4: Future Plans - The year 2025 is projected to be the "year of mass production" for humanoid robots, with Duolun Technology aiming to deepen its "AI + robotics + transportation" strategy [6]. - The company will collaborate with the Ministry of Public Security's Road Traffic Safety Research Center to advance automation and intelligence in vehicle inspection processes across various scenarios [6].

Group 1 - The global smart transportation market was approximately $96.1 billion in 2022 and is projected to reach $115.8 billion by 2024, with a compound annual growth rate (CAGR) of 8% [1] - The investment in smart city construction globally is expected to approach $80 billion by 2024, driven by urbanization challenges, with Asian countries having significant growth potential [3] - China's fixed asset investment in transportation increased from 2.87 trillion yuan in 2016 to 3.9 trillion yuan in 2023, with a forecast of 3.8 trillion yuan for 2024 [5][6] Group 2 - The market size of smart transportation in China grew from 97.3 billion yuan in 2016 to 236.7 billion yuan in 2023, with expectations to exceed 240 billion yuan in 2024 [7] - The comprehensive three-dimensional transportation network in China has a route mileage exceeding 260,000 kilometers, with a completion rate of about 90% [6]

Core Insights - The open-source HarmonyOS ecosystem is accelerating its application in various industries, particularly in transportation, with over 45 types of devices deployed across multiple scenarios in more than ten provinces [1] - The integration of artificial intelligence (AI) into transportation is seen as a key area for commercial application, enhancing operational efficiency and safety [1][7] - The "Traffic Jia Hong" operating system, launched by Jiadu Technology, is the first domestic operating system for the transportation industry, featuring five key technological characteristics [3] Industry Trends - AI's rapid development has led to a focus on how to leverage it for competitive advantages in technology, applications, and standards within the transportation sector [1] - The integration of AI models into industry operating systems can enhance the capabilities of various devices, allowing for more efficient AI empowerment across different scenarios and platforms [2][4] Company Performance - Jiadu Technology reported a revenue of 4.919 billion yuan, a year-on-year increase of 65.22%, and a net profit of 135 million yuan, marking a turnaround from losses [3] - The company's success is attributed to the completion of multiple intelligent transportation projects and the expansion of its smart metro construction and ICT product services [3] Technological Innovations - The "Traffic Jia Hong" system aims to unify various devices and applications in urban and rail transportation, facilitating better data interaction and control [3][4] - The system's design allows for the integration of different devices, enabling innovative applications through data sharing and functionality interconnectivity [4][5] Future Outlook - The next focus for AI in smart transportation is enhancing user perception and interaction, making travel more convenient and efficient [7] - The gradual integration of AI models into traffic management systems is expected to improve operational efficiency, with initial pilot projects expanding to broader applications [8]

Core Insights - The 2025 Harmony Ecosystem Conference held in Shenzhen focused on the digital and intelligent transformation of the transportation industry, emphasizing the value of open-source Harmony [1][4] - The "Traffic Jia Hong" solution, based on open-source Harmony, has been implemented in over 10 provinces, with more than 45 types of transportation equipment deployed across various scenarios [2][6] - The initiative aims to create a reliable digital foundation for smart transportation, leveraging new technologies and business models to enhance collaboration among leading enterprises and developers [1][5] Group 1: Industry Development - The open-source Harmony ecosystem is rapidly flourishing in the transportation sector, with significant applications in subways, highways, and other areas, leading to improved experiences and benefits [2][6] - The "Traffic Jia Hong" operating system, based on OpenHarmony and openEuler, addresses challenges such as protocol fragmentation and high operational costs in smart transportation [6][7] - The initiative promotes a unified and efficient open-source ecosystem, focusing on technology co-creation, standard establishment, and scenario expansion [7][8] Group 2: Collaborative Efforts - Various organizations, including the Open Atom Open Source Foundation and the Ministry of Industry and Information Technology, are collaborating to deepen the integration of open-source Harmony with smart transportation [8] - The Guangdong Intelligent Transportation Association emphasizes the importance of a robust technical foundation provided by the Harmony ecosystem for the province's smart transportation development [1][5] - The industry is moving towards a more interconnected and intelligent system, with increasing demands for automation and efficiency in urban rail and road traffic [7][8]

Core Viewpoint - Rekor Systems, Inc. has launched Rekor TrafficSight, a cloud-native, AI-powered solution designed to enhance the security and efficiency of traffic data management in the U.S., addressing national security concerns related to the transmission of sensitive roadway video data to foreign entities [1][4][3]. Group 1: Product Features and Innovations - Rekor TrafficSight allows users to securely upload video and generate advanced traffic analytics, processing all data within the U.S. to comply with federal data privacy and cybersecurity standards [4][3]. - The application extracts FHWA 13-bin classifications and vehicle counts from existing video feeds, eliminating the need for specialized hardware or field installations [5]. - Rekor is also launching a Data-as-a-Service (DaaS) offering for Rekor Discover, providing agencies with access to trusted traffic data without the burden of installation or maintenance [8][9]. Group 2: Addressing Security Concerns - The unregulated practice of sending raw video footage to foreign countries poses risks of data misuse, raising concerns about national security and infrastructure vulnerability [2][3]. - Rekor TrafficSight mitigates these risks by ensuring that all video data is processed domestically, thus preventing potential exploitation of sensitive information [4][3]. Group 3: Enhanced Traffic Management Solutions - The new Incident Detection API, built on the Rekor Command platform, enables real-time event detection by unifying data from various sources, enhancing situational awareness for agencies [11][12]. - Rekor RoadView is introduced as a lightweight tool for local agencies, providing real-time insights into roadway conditions without requiring extensive infrastructure [13][14]. - The high-performance License Plate Recognition (LPR) technology showcased by Rekor can be deployed flexibly, supporting various use cases such as electronic tolling and regulatory enforcement [15]. Group 4: Strategic Vision - The company aims to modernize transportation operations by replacing manual data handling with secure automation and providing actionable insights through advanced technology [16].