交通节能与环保2025，Vol.21Issue(6)：34-38,56,6.DOI:10.3969/j.issn.1673-6478.2025.06.007
多源数据融合的高速公路沥青路面分级养护决策研究
Decision-making for Hierarchical Maintenance of Expressway Asphalt Pavements Based on Multi-source Data Fusion
黄开青1
作者信息
- 1. 福建省福泉高速公路有限公司,福建 福州 350000
- 折叠
摘要
Abstract
To address the limitations of traditional maintenance decision-making—characterized by reliance on manual inspection,strong subjectivity,and insufficient data integration—this study takes Section A of the Shenhai Expressway as a case and proposes a pavement maintenance decision-making framework based on multi-source data fusion.First,a sliding-window mean aggregation algorithm is applied to unify multi-scale pavement distress data(20 m and 100 m)into a 100 m evaluation grid,and Box-Cox transformation combined with normalization is used to eliminate dimensional inconsistencies.Second,a combined weighting model integrating the entropy weight method and analytic hierarchy process(AHP)is established to balance objective data characteristics with expert knowledge.Subsequently,the Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)is employed to rank maintenance priorities,and Gaussian Mixture Model(GMM)clustering is used to classify maintenance levels.To overcome GMM's sensitivity to outliers,a TOPSIS-GMM joint classification strategy with adaptive threshold adjustment is proposed.Case verification shows that the proposed framework effectively identifies priority maintenance segments,aligns well with engineering requirements,and reduces unnecessary maintenance by approximately 41%,significantly improving decision-making scientificity and resource allocation efficiency.关键词
高速公路养护/多源数据融合/组合权重/TOPSIS/高斯混合模型Key words
expressway maintenance/multi-source data fusion/combined weighting/TOPSIS/gaussian mixture model分类
交通工程引用本文复制引用
黄开青..多源数据融合的高速公路沥青路面分级养护决策研究[J].交通节能与环保,2025,21(6):34-38,56,6.
