依托广东深厚的电子信息制造业基础，结合AI算法和数字技术，佳都科技正在为全球47个城市的地铁 提供全生命周期的智能化服务。"制造+服务"的协同，让产业从单纯的建设转向高附加值运营，正是广 东从"制造大省"迈向"智造强省"的直观体现。 2月24日，广东"新春第一会"在节后开工首日召开。佳都科技集团董事长兼执行总裁陈娇受邀出席广东 省高质量发展大会，并在现场发表视频演讲，分享了佳都在产业一线对广东高质量发展的深刻感受，以 及面向"十五五"的发展蓝图。 本次大会聚焦"制造业与服务业协同发展"，广东提出要聚力推进制造业与服务业协同发展，推动产业体 系不断迭代升级，加快提升全要素生产率，为广东在新征程上增创新优势、实现新突破提供强大物质技 术基础。 作为在广东成长起来的民营科技企业，佳都科技既是广东产业沃土的受益者，更是"制造大省"与"服务 大省"双向奔赴的践行者。陈娇表示，广东提出"依托人工智能技术底座提升两业协同水平"，这正是佳 都科技深耕的赛道。佳都科技将抢抓"十五五"开局之年的机遇，发挥双产业"链主"优势，以行业大模型 为纽带，推动轨道交通、城市交通等场景深度落地，让AI技术既赋能制造业"智改数转"，又助力现代 ...

Core Insights - The article highlights the rapid rise of the song "Jiahe Wanggang," which symbolizes the emotional essence of the Jiahe Wanggang station in Guangzhou, a key transit hub for the city's metro system [1] - The Guangzhou metro system set a new record with 14.093 million passenger trips in a single day on December 31, 2025, showcasing the increasing demand for public transportation as the Spring Festival approaches [1] - The integration of artificial intelligence (AI) in public transportation is emphasized as a means to enhance operational efficiency and passenger experience [2][3] AI Applications in Metro Systems - Traditional transportation systems face challenges such as data silos, high operational costs, and safety concerns, necessitating the development of smart transportation solutions [2] - Jiahe Wanggang station serves as a core application site for AI technology by Jiadu Technology, which has implemented smart metro solutions across over 45 cities and 2200 metro stations in China [2] - The AI-driven smart operation control platform developed by Jiadu Technology aims to transform the entire business process and management model of metro operations, breaking down data barriers between various electronic systems [3] Intelligent Maintenance Systems - Jiadu Technology's "Jia Yi Wei" intelligent maintenance system has been piloted on Guangzhou Metro Line 13 and Line 14, utilizing big data and IoT for proactive fault prediction and precise status assessment [4] - This system shifts from traditional reactive maintenance to a proactive approach, enhancing operational efficiency and cost-effectiveness [4][5] Smart Urban Transportation - The advancement of AI technology is driving urban transportation towards a more intelligent and digital future, with a focus on integrated decision-making across transportation systems [6] - Jiadu Technology's strategy includes the development of a comprehensive product matrix centered around the IDPS urban traffic brain, which has been deployed in major cities like Shanghai and Chengdu [6] - AI applications have improved traffic signal timing and overall traffic flow efficiency, demonstrating the potential of AI to optimize urban transportation systems [6][7] Future Developments - Jiadu Technology is establishing a research and development center in Hong Kong to expand its international presence and foster technological collaboration [7] - The company's ongoing investments in AI and smart transportation are expected to accelerate its global market positioning and contribute to industry innovation [7][8]

为此，技术团队对信号灯和可变车道数据进行了精细化治理，构建了车道级的"路权数据服务数据 集"。每一组信号状态都被拆解为时间、相位、车道绑定等多维参数，形成程序可解析的结构化指令。 通过参考国家标准制定统一交互协议，原本简单的"绿灯"被细化为"直行可通行""右转可通行"等明确指 令，真正实现从"人看懂"到"车读懂"的跨越。 负责项目数据治理的每日互动智能网联车项目负责人形象地比喻："这一过程如同为城市交通神经 网络搭建起精准的'翻译器'，让车与路在数字层面达成深度协同，地图导航及智能汽车可拥有数据维度 的'上帝视角'，提升驾驶过程中预判和决策能力。" 区别于现行通过路侧硬件设备改造实现车路数据协同，车路数据协同的"杭州模式"严控非必要的硬 件投入，转而通过深度挖掘和利用城市现有公共交通数据，最大化释放已有交通数据价值，通过移动互 联网推送技术打造高效、稳定的传输路径，将全域交通信息数据提供给导航地图、智能网联汽车使用。 近日，随着智能网联汽车"车路云一体化"示范应用项目的深入推进，杭州城市交通数字化治理迈出 关键一步——路口信号数据"上图上车"服务正式启用。这是杭州市智能网联汽车市级云控平台新上线的 惠民出行场 ...

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Core Viewpoint - Beijing Qianfang Technology Co., Ltd. has completed the cancellation of certain special accounts for raised funds, following a change in the use of funds from a previously planned project to a new one [1][4]. Group 1: Fundraising Overview - The company raised a total of RMB 190 million through a non-public offering of 90,562,440 shares at a price of RMB 20.98 per share, with a net amount of RMB 187.63 million after deducting issuance costs [1]. - The funds were fully received by July 31, 2020, and verified by an accounting firm [1]. Group 2: Change in Fund Usage - The company decided to terminate the project "Next-Generation Intelligent Transportation System Products and Solutions R&D Upgrade and Industrialization" and reallocate the remaining funds of RMB 95.57 million (including RMB 4.16 million in investment income) to a new project focused on "Key Technology R&D and Industrialization for Logistics Automation" [2][4]. - This change was approved in a board meeting on December 26, 2025, and subsequently ratified in a shareholder meeting on January 12, 2026 [2]. Group 3: Fund Management - The company has established a management system for the raised funds, ensuring compliance with regulatory requirements and protecting investor interests [3]. - A tripartite/four-party supervision agreement was signed with the sponsoring institution and the bank to ensure strict approval and dedicated use of the raised funds [3]. Group 4: Account Cancellation - The company has completed the cancellation of two special accounts related to the terminated project, and all funds have been transferred as per regulations [4]. - The cancellation of these accounts has been communicated to the sponsoring institution and relevant parties [4].

在无锡市公安局交通警察支队惠山大队二中队勤务指挥室，电子屏幕上正实时呈现着无锡惠山高新区各主要道路的交通动态。随着工作人员轻点鼠标，几 公里外路口的信号灯配时方案便完成调整。 相关方面表示，智慧系统的引入，让人力与科技更好地协同，实现"1+1>2"的效果。在系统覆盖的重点拥堵路口，交警部门依然设置了早晚高峰固定执勤 岗和巡查管理岗。但他们的角色，已经从单纯的"手势指挥者"，转变为了"现场信息核实员"和"系统策略补充者"。在系统进行智能调灯的同时，能够在现 场处理突发事故、引导人车分流，形成"线上智能调控+线下现场疏导"的无缝衔接。 未来，随着数据的持续积累与系统的不断优化，惠山高新区的智慧交通体系将更加完善，为群众营造更加安全、有序、畅通的出行环境，让城市运行因科 技而更高效，因智慧而更美好。 这一高效场景，正是近日接入的智能信号灯远程控制系统带来的全新变化。通过对路口信号的实时研判与智能调控，系统有效提升了区域交通管理效率和 道路通行能力，为群众出行提供了更智能、更顺畅的交通环境。 该系统整合了视频监控、路况数据与路面巡逻信息等，形成"监测—研判—调控"一体化管理模式。在日常运行中，指挥室可实时查看各路口通 ...

Core Insights - The 2025 Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Robotics Industry Conference highlighted the role of AI in transforming traffic systems and the challenges of commercialization [1][2]. Group 1: AI in Traffic Management - AI models are shifting traffic signal control from passive response to proactive prediction, enhancing traffic management efficiency [1]. - In Guangzhou, AI models are used to optimize traffic light configurations at major intersections, significantly improving traffic flow [2]. - The implementation of AI in traffic management has led to 24/7 AI oversight of hundreds of intersections, achieving substantial improvements in efficiency and control [2]. Group 2: Human-Robot Applications - Human-shaped robots are expected to be the first to achieve large-scale application in the traffic sector due to structured product design and stable environments [2]. - The automotive industry is exploring human-robot applications in traffic, with significant market potential identified [2]. Group 3: Challenges in AI Implementation - Two main challenges in deploying AI in urban traffic include the need for algorithm accuracy improvement from 90% to 99.9% and breaking down barriers between different traffic subsystems [2]. - The integration of AI in traffic systems requires a comprehensive approach to ensure effective coordination and response to emergencies [2]. Group 4: Talent Development and Collaboration - There is an urgent need to cultivate "AI + Traffic" interdisciplinary talent to support technological advancements [3]. - Educational institutions are restructuring curricula and establishing partnerships with enterprises to enhance practical skills among students [3]. - Collaboration between academia and industry is essential for sustainable innovation, focusing on shared data and real-world applications [3].

Core Insights - The event highlighted the advancement of AI in traffic management, emphasizing the shift from reactive to proactive decision-making in transportation systems [1][2][4] Group 1: AI Applications in Traffic Management - AI is being utilized to predict and manage large passenger flows at airports, with systems capable of analyzing weather forecasts and social sentiment to anticipate delays and passenger congestion [4] - The implementation of AI-driven traffic signal optimization has expanded from pilot projects in Guangzhou to six major urban areas, significantly improving traffic flow efficiency [5] - The "Road Xiao Ling Tong" AI system enhances real-time monitoring and management of highway networks in Guangdong, addressing the challenges posed by high traffic volumes [5] Group 2: Industry Collaboration and Development - The event aimed to create a collaborative ecosystem involving government, industry, academia, and research to facilitate the integration of AI in transportation and manufacturing sectors [2][6] - The project led by the China Industrial Internet Research Institute focuses on building a comprehensive service platform that connects technology development with industry needs, promoting efficient collaboration [5]

Core Insights - Indra has successfully completed end-to-end testing of its C-V2X Toll solution on North Carolina's I-485 Express Lanes, marking it as the first highway in the U.S. to integrate this technology for tolling and safety [1][6][2] - The solution allows vehicles equipped with C-V2X technology to receive real-time toll notifications and provides safety alerts through Indra's 3D LiDAR perception system [3][5] - The North Carolina Turnpike Authority (NCTA) plans to extend this technology across the I-485 corridor, indicating a commitment to full-corridor deployment [5][6] Company Developments - Indra has joined the 5G Automotive Association (5GAA) and OmniAir to accelerate the development of connected mobility standards and enhance the future of tolling and connected vehicles [7][8] - The company has a strong presence in the U.S. mobility market, with projects like I-66 Outside the Beltway, which features advanced tolling and connected vehicle technologies [9][10] - Indra has completed over 2,500 projects globally, demonstrating its leadership in smart mobility and tolling systems [10][11]

Core Viewpoint - The article discusses the strategic transformation and technological innovations of Jiadu Technology, emphasizing its role in the "AI + Urban" sector and the development of the "Traffic Jiahong" operating system based on the HarmonyOS, which aims to redefine future station operations and enhance the efficiency of urban transportation systems [1][2]. Group 1: Company Strategy and Development - Jiadu Technology has consistently aligned its strategic transformations with national policies, technological trends, and its core capabilities, which has been crucial for its sustained growth [2][3]. - The company has focused on digital economy, new infrastructure, and the national strategy of building a strong transportation system, particularly following the government's recent initiatives on "AI +" [2][3]. - Jiadu Technology's self-developed "Zhixing Transportation Model" is noted as the world's first large model in the transportation sector, with plans to release the "Traffic Jiahong" operating system in 2025 [2][3]. Group 2: Technological Innovations - The company is addressing industry challenges through high R&D investment and strategic mergers and acquisitions, creating a competitive edge by integrating technology and capital [3][4]. - Jiadu Technology is developing a digital foundation for transportation, focusing on creating a domestic operating system and basic software to enhance industry capabilities [4][5]. - The introduction of the "Zhixing Transportation Model 3.0" utilizes FP8 mixed precision training technology to improve training efficiency without sacrificing accuracy [5]. Group 3: Application and Impact - Jiadu Technology's innovations have been successfully implemented in various benchmark projects, such as the Guangzhou Metro and Chengdu's smart city traffic management, achieving significant efficiency improvements [7][9]. - The company is expanding its services beyond government sectors to include digital upgrades for businesses in finance, healthcare, and retail, with over 10,000 successful delivery cases [9][10]. - Jiadu Technology plans to initiate its global expansion in 2024, targeting regions with high infrastructure demand, such as countries along the Belt and Road Initiative and RCEP [10]. Group 4: Future Outlook - The company anticipates a shift in the "AI + Urban" landscape towards a more integrated model, leveraging key technologies like urban large models and digital twins for comprehensive urban management [10]. - Jiadu Technology aims to enhance its R&D investments in frontier technologies and deepen the integration of digital technology with the real economy to create measurable customer and social value [10].