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Data Collection Methodology to Assess Road Pavement Condition Using GNSS,Video Image and GIS

机译:数据收集方法使用GNSS,视频图像和GIS评估道路路面状况

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Traffic loads,along with the environment,damage pavement over time.The degradation of pavement quality is reflected in the development of a diversity of pavement distresses,such as cracking,deformation or deterioration.These distresses may occur on the surface and/or in the pavement structure,having a determinant role in pavement's quality.Aiming to increase the degree of reliability of the pavement distress data and reduce pavement observation time and visual inspection operations cost,this work presents the main steps proposed for a methodology to observe,record and evaluate flexible road pavement distresses to assess the quality of road pavements.This methodology is based on an in-vehicle inspection using GNSS and video image capture devices and in the use of Geographic Information System (GIS).Validation of the proposed methodology was made through a case study by comparing the results obtained on the in-vehicle inspection to those from a traditional visual inspection performed on foot.The similarity of results obtained by the two approaches allowed to conclude about the feasibility of the proposed methodology.Among the main advantages of the proposed methodology a highlight is on the possibility to identify,quantify and locate the most severe pavement distresses through the use of spatial tools available on GIS,producing information maps and reports that can be used in the decision-making process about road pavements rehabilitation and conservation.
机译:随着时间的推移,交通负荷以及环境损坏路面。路面质量的降低反映在开发路面苦核的多样性,例如开裂,变形或恶化。这些苦难可能发生在表面和/或中路面结构,在路面的质量方面具有决定性作用。传统以提高人行道遇险数据的可靠性,降低路面观察时间和视觉检测运营成本,这项工作提出了一种遵守,记录和评估方法的主要步骤灵活的道路路面痛苦,以评估道路路面的质量。该方法基于使用GNSS和视频图像捕获设备的车载检查,并在使用地理信息系统(GIS)中。通过a制作了所提出的方法的验光。通过比较对车载检查所获得的结果与传统的视觉检查的结果进行比较脚。通过两种方法获得的结果的相似性允许得出关于提出的方法的可行性.Among拟议方法的主要优势突出的主要优势是通过使用来识别,量化和定位最严重的路面痛苦的可能性可在GIS上提供的空间工具,制作信息地图和报告,可用于道路路面康复和保护的决策过程。

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