PCI-STCL(SH:600728) Nan Fang Du Shi Bao·2025-09-22 23:12Core 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].