Development of a Relationship between Pavement Condition Index and International Roughness Index in Rural Road Network
The main objective of this paper was to investigate the relationship between PCI and IRI values of the rural road network. To this end, 6000 pavement sections of the rural road network in Iran were selected. Road surface images and roughness linear profiles were collected using an automated car to c...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/6635820 |
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| author | Sasan Adeli Vahid Najafi moghaddam Gilani Mohammad Kashani Novin Ehsan Motesharei Reza Salehfard |
| author_facet | Sasan Adeli Vahid Najafi moghaddam Gilani Mohammad Kashani Novin Ehsan Motesharei Reza Salehfard |
| author_sort | Sasan Adeli |
| collection | DOAJ |
| description | The main objective of this paper was to investigate the relationship between PCI and IRI values of the rural road network. To this end, 6000 pavement sections of the rural road network in Iran were selected. Road surface images and roughness linear profiles were collected using an automated car to calculate PCI and IRI, respectively. Three exponential regression models were developed and validated in three different IRI intervals. Analysis of the results indicated that exponential regression was the best model to relate IRI and PCI. In these models, R2 values were found to be acceptable, equal to 0.75, 0.76, and 0.59 for roads with good, fair, and very poor qualities, respectively, indicating a good relationship between IRI and PCI. Moreover, validation results showed that the model had a high accuracy. Also, the relation between IRI and PCI became weaker as a result of increasing the level of road surface roughness, which can be caused by the increase in the number and severity of failures. Furthermore, two failures of rail R.C. and rutting were rarely observed in the studied roads. Therefore, the proposed model is more applicable for roads without the mentioned failures and asphalt-pavement rural road network. |
| format | Article |
| id | doaj-art-34b84e34e21d4895a3e157c03ae18edc |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-34b84e34e21d4895a3e157c03ae18edc2025-02-03T01:24:59ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66358206635820Development of a Relationship between Pavement Condition Index and International Roughness Index in Rural Road NetworkSasan Adeli0Vahid Najafi moghaddam Gilani1Mohammad Kashani Novin2Ehsan Motesharei3Reza Salehfard4Department of Civil Engineering, Imam Khomeini International University, Qazvin, IranSchool of Civil Engineering, Iran University of Science and Technology, Tehran, IranSchool of Civil Engineering, Iran University of Science and Technology, Tehran, IranSchool of Civil Engineering, K. N. Toosi University of Technology, Tehran, IranSchool of Civil Engineering, Iran University of Science and Technology, Tehran, IranThe main objective of this paper was to investigate the relationship between PCI and IRI values of the rural road network. To this end, 6000 pavement sections of the rural road network in Iran were selected. Road surface images and roughness linear profiles were collected using an automated car to calculate PCI and IRI, respectively. Three exponential regression models were developed and validated in three different IRI intervals. Analysis of the results indicated that exponential regression was the best model to relate IRI and PCI. In these models, R2 values were found to be acceptable, equal to 0.75, 0.76, and 0.59 for roads with good, fair, and very poor qualities, respectively, indicating a good relationship between IRI and PCI. Moreover, validation results showed that the model had a high accuracy. Also, the relation between IRI and PCI became weaker as a result of increasing the level of road surface roughness, which can be caused by the increase in the number and severity of failures. Furthermore, two failures of rail R.C. and rutting were rarely observed in the studied roads. Therefore, the proposed model is more applicable for roads without the mentioned failures and asphalt-pavement rural road network.http://dx.doi.org/10.1155/2021/6635820 |
| spellingShingle | Sasan Adeli Vahid Najafi moghaddam Gilani Mohammad Kashani Novin Ehsan Motesharei Reza Salehfard Development of a Relationship between Pavement Condition Index and International Roughness Index in Rural Road Network Advances in Civil Engineering |
| title | Development of a Relationship between Pavement Condition Index and International Roughness Index in Rural Road Network |
| title_full | Development of a Relationship between Pavement Condition Index and International Roughness Index in Rural Road Network |
| title_fullStr | Development of a Relationship between Pavement Condition Index and International Roughness Index in Rural Road Network |
| title_full_unstemmed | Development of a Relationship between Pavement Condition Index and International Roughness Index in Rural Road Network |
| title_short | Development of a Relationship between Pavement Condition Index and International Roughness Index in Rural Road Network |
| title_sort | development of a relationship between pavement condition index and international roughness index in rural road network |
| url | http://dx.doi.org/10.1155/2021/6635820 |
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