Correlation of Pavement Distress and Roughness Measurement

Riyadh City established and implemented a Pavement Maintenance Management System (PMMS) through the General Directorate of Maintenance and operation. The system was created to address the difficulties that come with maintaining and reserving the pavement network. To evaluate pavement conditions, Riy...

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Main Authors: Abdullah I. Al-Mansour, Amr A. Shokri
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/8/3748
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author Abdullah I. Al-Mansour
Amr A. Shokri
author_facet Abdullah I. Al-Mansour
Amr A. Shokri
author_sort Abdullah I. Al-Mansour
collection DOAJ
description Riyadh City established and implemented a Pavement Maintenance Management System (PMMS) through the General Directorate of Maintenance and operation. The system was created to address the difficulties that come with maintaining and reserving the pavement network. To evaluate pavement conditions, Riyadh (PMMS) uses visual checks, structural capacity roughness, and skid resistance. An Urban Distress Index (UDI) is calculated during the visual assessment process. Distressed pavement types, severity, and quantity are taken into account when calculating UDI values. As a result, the procedure gathers extensive data on the pavement’s condition. However, the procedure is time-consuming and very costly. The Automatic Road Analyzer car provides data on road roughness in accordance with the International Roughness Index (IRI). The IRI data are often generated quite quickly and at a cheap cost as compared to the distress survey. This study’s aim is to examine whether a sample of Riyadh city pavement sections can be connected to the IRI depending on the distress type. The research develops statistical models that correlate IRI values with several distress-types associated with roadway classes. Correlating the International Roughness Index values to distress type will eliminate the necessity to implement the manual inspection at a network- level. This saves money and time for PMMS employees when preparing annual maintenance requirements and setting priorities. The finding of the study, of the relationship between the pavement distresses and the International Roughness Index showed a statistically significant relationship between pavement roughness and some ride-quality distresses, like depression and patching, as well as some non-ride quality distresses like potholes and rutting. In addition, for both main and secondary streets, an analysis of variance shows the existence of a correlation between the two variables.
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spelling doaj.art-d8b5ab9c453949b78fea28942afb4a932023-12-01T00:37:51ZengMDPI AGApplied Sciences2076-34172022-04-01128374810.3390/app12083748Correlation of Pavement Distress and Roughness MeasurementAbdullah I. Al-Mansour0Amr A. Shokri1College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaCollege of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaRiyadh City established and implemented a Pavement Maintenance Management System (PMMS) through the General Directorate of Maintenance and operation. The system was created to address the difficulties that come with maintaining and reserving the pavement network. To evaluate pavement conditions, Riyadh (PMMS) uses visual checks, structural capacity roughness, and skid resistance. An Urban Distress Index (UDI) is calculated during the visual assessment process. Distressed pavement types, severity, and quantity are taken into account when calculating UDI values. As a result, the procedure gathers extensive data on the pavement’s condition. However, the procedure is time-consuming and very costly. The Automatic Road Analyzer car provides data on road roughness in accordance with the International Roughness Index (IRI). The IRI data are often generated quite quickly and at a cheap cost as compared to the distress survey. This study’s aim is to examine whether a sample of Riyadh city pavement sections can be connected to the IRI depending on the distress type. The research develops statistical models that correlate IRI values with several distress-types associated with roadway classes. Correlating the International Roughness Index values to distress type will eliminate the necessity to implement the manual inspection at a network- level. This saves money and time for PMMS employees when preparing annual maintenance requirements and setting priorities. The finding of the study, of the relationship between the pavement distresses and the International Roughness Index showed a statistically significant relationship between pavement roughness and some ride-quality distresses, like depression and patching, as well as some non-ride quality distresses like potholes and rutting. In addition, for both main and secondary streets, an analysis of variance shows the existence of a correlation between the two variables.https://www.mdpi.com/2076-3417/12/8/3748International Roughness Indexpavement condition evaluationcorrelationSaudi Arabia
spellingShingle Abdullah I. Al-Mansour
Amr A. Shokri
Correlation of Pavement Distress and Roughness Measurement
Applied Sciences
International Roughness Index
pavement condition evaluation
correlation
Saudi Arabia
title Correlation of Pavement Distress and Roughness Measurement
title_full Correlation of Pavement Distress and Roughness Measurement
title_fullStr Correlation of Pavement Distress and Roughness Measurement
title_full_unstemmed Correlation of Pavement Distress and Roughness Measurement
title_short Correlation of Pavement Distress and Roughness Measurement
title_sort correlation of pavement distress and roughness measurement
topic International Roughness Index
pavement condition evaluation
correlation
Saudi Arabia
url https://www.mdpi.com/2076-3417/12/8/3748
work_keys_str_mv AT abdullahialmansour correlationofpavementdistressandroughnessmeasurement
AT amrashokri correlationofpavementdistressandroughnessmeasurement