Transition from Reactive to Proactive Maintenance: A Data-Driven Approach for Expressway Asset Management

Abstract

China's highways have fully entered a new stage of maintenance management. The traditional passive maintenance mode, which focuses on post repair and experience decision-making, has problems such as high cost, slow response, and rapid road condition degradation, making it difficult to meet the long-term operational needs of the road network. Promoting the transformation of highway asset management from passive maintenance to active maintenance has become an inevitable trend for the high-quality development of the industry. This article refers to the standardized academic paper architecture, systematically elaborates on the core differences between passive maintenance and active maintenance, constructs a data-driven framework with full lifecycle data as the core, multi-source perception as the support, and intelligent decision-making as the engine, studies the key implementation paths of data collection, fusion analysis, dynamic prediction, active decision-making, and closed-loop control, proposes a technology system and guarantee measures for transformation and implementation, aiming to provide theoretical and practical support for improving the quality and efficiency of highway asset management, extending facility life, and reducing full cycle costs.