智赋公路养护！苏州这项技术荣膺2025年度全国数字交通典型案例

Core Viewpoint - Suzhou's road maintenance has successfully integrated big data and artificial intelligence, leading to significant recognition in the digital transportation sector with the selection of its innovative case for the "2025 Digital Transportation Typical Case" [1][10]. Group 1: Technical Innovation - The case addresses long-standing challenges in road maintenance, such as extensive mileage, wide distribution, and difficult decision-making, by establishing a scientific decision-making framework called "one database, one system, two models" [4]. - A comprehensive dynamic and static database serves as the data foundation, integrating data from 750 kilometers of national and provincial roads in Suzhou, transforming paper records into analyzable digital assets [4]. - A refined evaluation system acts as a "stethoscope" for assessing road health, optimizing indicators based on national standards and adding detailed metrics for precise diagnostics [4]. - An AI prediction and decision model functions as the "intelligent brain" for maintenance planning, utilizing 39 key parameters to accurately forecast core indicators and determine optimal maintenance strategies [4]. Group 2: Significant Outcomes - The technology has transformed road maintenance from experience-based judgments to precise strategies, achieving "three precisions" and "one sustainability" [6]. - Precise timing allows for preventive maintenance before significant damage occurs, reducing high repair costs associated with major damages [6]. - Precise location targeting ensures maintenance is accurately applied to specific lanes, preventing the spread of damage and avoiding resource waste from over-maintenance [6]. - Tailored solutions prevent misdiagnosis of road issues, avoiding excessive repairs for minor problems and breaking the cycle of "repair and re-damage" [7]. - A continuous evaluation mechanism tracks maintenance effectiveness, calculating metrics like road "survival rate" and "full lifecycle cost" to optimize future plans [8]. Group 3: Future Directions - The Suzhou Road Center aims to further deepen the application of big data and AI in road maintenance, continuously improving the scientific decision-making system for road safety and efficiency [10].