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Advisor(s)
Abstract(s)
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.
Description
Keywords
Road Pavement Condition Data Collection Video Image GIS GNSS
Citation
Bertha Santos et al 2019 IOP Conf. Ser.: Mater. Sci. Eng. 603 042083
Publisher
IOP Conference Series