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Validation and Implementation of AHTD Network-Level Automated Distress Rating and Pavement Condition Rating

机译:AHTD网络级自动遇险等级和路面状况等级的验证和实施

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Pavement conditions are commonly described by the amount,severity,and frequency of pavement distresses.Transportation engineers prefer to measure,as accurately as they are able,cracking,rutting,and pavement profile for pavement condition ratings.These measurements are most often used exclusively for pavement condition assessment.The use of cracking,rutting,and ride quality (a function of pavement profile) to produce a value representing the pavement's overall condition is followed in great detail by engineers and is well documented in the literatures [1,2].Automated systems designed to assess network-level pavement distress for rutting and ride quality have been developed and widely utilized.These automated systems have the accuracy and precision in most cases without concern.However,the use of cracking data to complete the pavement condition index has lagged behind because of the time necessary to manually process cracking data and/or the high variability of automated systems.While automated pavement distress surveys are more efficient,the quality of the automated crack survey data has been highly questionable since its conception.This paper summarizes the implementation,validation,and results of a network-level automated crack survey in Arkansas.The study showed that the performance of a two-dimensional (2D) automated distress survey largely relies on the pixel intensity of the images,which could be affected by the pavement aggregate type,pavement age,the environment (moisture and temperature),and lighting condition under which the images were collected.To investigate how these factors affected the automated cracking survey data,a sensitivity study was conducted at the project-level for a variety of environmental and lighting conditions.It was found that noise (false-positive) is an inevitable obstacle in the automated crack survey considering the broad varieties of image characteristics.Careful design of cracking protocols supplemented with proper validation process can overcome some of the limitations of the automated survey.The study demonstrated the efficiency of the automated survey to assist a state transportation agency's pavement management activities.At the same time,it also exposed the limitations of the 2D automated cracking survey.A discussion of utilizing 3D technology for automated cracking survey is included which highlights its great potential in automated pavement condition assessment.
机译:路面状况通常由路面遇险的程度,严重程度和频率来描述。运输工程师更愿意尽可能准确地测量路面状况等级的龟裂,车辙和路面轮廓。这些测量通常专门用于路面状况评估。工程师非常详细地使用开裂,车辙和行驶质量(路面轮廓的函数)来产生代表路面整体状况的值,并且在文献中有很好的记录[1,2]。已经开发并广泛使用了旨在评估车辙和行驶质量的网络级路面遇难情况的自动化系统。这些自动化系统在大多数情况下都具有准确性和精度,而无需担心。使用裂缝数据来完成路面状况指标由于手动处理破解数据所需的时间和/或自动化系统的高度可变性,因此滞后了。自从设计以来,断层路面遇险调查效率更高,自动裂缝调查数据的质量一直受到质疑。本文总结了阿肯色州网络级自动裂缝调查的实施,验证和结果。二维(2D)自动遇险测量的性能主要取决于图像的像素强度,这可能会受到路面集料类型,路面年龄,环境(湿度和温度)以及图像所处的照明条件的影响为了调查这些因素如何影响自动裂纹调查数据,在项目级别针对各种环境和光照条件进行了敏感性研究,结果发现噪声(假阳性)是解决方案中不可避免的障碍。考虑到各种图像特征的自动裂纹调查。精心设计的裂纹协议,并附有适当的验证程序ESS可以克服自动调查的某些局限性。该研究证明了自动调查在协助州运输局的路面管理活动方面的有效性。同时,它还暴露了2D自动裂缝调查的局限性。包括利用3D技术进行自动裂缝调查的内容,突显了其在自动路面状况评估中的巨大潜力。

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