面向高速公路主要病害的检测与养护方法研究
Research on Detection and Maintenance Methods for Major Highway Diseases
摘要: 路面养护管理系统是路面管理系统的一个分支，其应该包括对路面使用性能评价、路面病害检测和养护方案决策等功能。文中简要介绍了道路路面的大致病害及其检测方法，同时提出了基于动态规划的马尔可夫和基于强化学习的近端策略优化两种应用于道路养护方案决策的模型的使用。
Abstract: The road maintenance management system is a branch of the pavement management system, which should include functions such as evaluating pavement performance, detecting road diseases, and making maintenance plan decisions. The article briefly introduces the general diseases of road surfaces and their detection methods, and proposes the use of two models for road maintenance decision-making: Markov based on dynamic programming and proximal strategy optimization based on reinforcement learning.
文章引用：易明伟. 面向高速公路主要病害的检测与养护方法研究[J]. 材料科学, 2025, 15(1): 115-123. https://doi.org/10.12677/ms.2025.151014

参考文献

[1] 张鹏. 国内外高速公路沥青路面典型病害及养护技术对比研究[D]: [硕士学位论文]. 西安: 长安大学, 2015.
[2] 史宇. 沥青混凝土路面坑槽病害的治理与防护[J]. 交通科技与管理, 2024, 5(19): 102-104.
[3] 陈欣. 高速公路沥青路面坑槽病害的养护[J]. 工程建设与设计, 2023(3): 135-137.
[4] 王艾迪, 彭一川, 郎洪, 等. 基于YOLOX-Transformer两步模型的路面坑槽提取方法[J]. 中国公路学报, 2023, 36(12): 304-317.
[5] 王静, 李波, 李鹏, 马伟中, 颜鲁春. 基于主成分分析法的网级路面养护管理[J]. 中外公路, 2018, 38(2): 318-323.
[6] 周怀恩, 赵春辉. 沥青路面病害检测与养护决策研究[J]. 工程建设与设计, 2021(15): 117-119.
[7] 张永清, 贾双盈. 高等级公路沥青路面性能评价方法[J]. 长安大学学报(自然科学版), 2005, 25(2): 11-15.
[8] 喻翔. 高速公路路面养护管理系统决策优化的研究[D]: [博士学位论文]. 成都: 西南交通大学, 2005.
[9] Ren, Y., Wen, G. and Li, X. (2013) An SVM Based Algorithm for Road Disease Detection Using Accelerometer. TELKOMNIKA Indonesian Journal of Electrical Engineering, 11, 5156-5175.
[10] 李海东. 基于深度学习和无人机的重交通荷载公路病害定位和测量研究[D]: [硕士学位论文]. 西安: 长安大学, 2019.
[11] Sun, Z., Li, W. and Sha, A.M. (2010) Automatic Pavement Cracks Detection System Based on Visual Studio C++ 6.0. 2010 6th International Conference on Natural Computation, Volume 4, 2016-2019. [Google Scholar] [CrossRef] 
[12] Gao, Y., Geng, D., Huang, X. and Li, G. (2017) Degradation Evaluation Index of Asphalt Pavement Based on Mechanical Performance of Asphalt Mixture. Construction and Building Materials, 140, 75-81. [Google Scholar] [CrossRef] 
[13] Gong, X. and Shao, C. (2009) The Gray Superiority Analysis of Asphalt Pavement Performance Evaluation Index and Main Diseases. 2009 2nd International Conference on Intelligent Computation Technology and Automation, Changsha, 10-11 October 2009, 2732-2734. [Google Scholar] [CrossRef] 
[14] Han, C., Zhang, W. and Ma, T. (2021) Data Cleaning Framework for Highway Asphalt Pavement Inspection Data Based on Artificial Neural Networks. International Journal of Pavement Engineering, 23, 5198-5210. [Google Scholar] [CrossRef] 
[15] Han, C., Ma, T. and Chen, S. (2021) Asphalt Pavement Maintenance Plans Intelligent Decision Model Based on Reinforcement Learning Algorithm. Construction and Building Materials, 299, Article ID: 124278. [Google Scholar] [CrossRef] 

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