路面管理理论与方法的研究进展及趋势

路面是交通基础设施的主要组成部分,路面管理是公路资产管理的重要内容。论文全面回顾了国际国内近年来路面管理领域的最新研究进展,主要包括路面管理过程中路面状况评价、路面性能预测,以及管理策略优化的常用方法、指标及模型,对比分析了人工神经网络、模糊逻辑和遗传算法等人工智能技术在路面管理中的应用;并对路面管理的发展趋势——公路资产管理这一热点问题进行了探讨。

RESEARCH PROGRESS AND TREND OF PAVEMENT MANAGEMENT

Pavement is the key important part of transportation infrastructure, and pavement management is the main task of highway asset management. The paper systemically reviewed the updated research progresses of pavement management internationally and nationally with respect to the frequently used methods/approaches, indices, and models in pavement management procedures, including pavement condition assessment, pavement performance prediction, and pavement management optimization. The application of artificial intelligence in pavement management, such as artificial neural network, fuzzy logic and genetic algorithms were analyzed. Meanwhile, the paper discussed and outlined the framework of highway asset management, which is the future trend of pavement management.