Optimal Pavement Maintenance Strategy Based on the Relationship Between Pavement Condition Index and Roughness
Pavement maintenance is crucial for ensuring road safety, reducing congestion, and minimizing repair costs. However, determining the optimal timing and strategy for pavement maintenance remains a challenge. This study investigated the correlation between the Pavement Condition Index (PCI) and Roughn...
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| Language: | English |
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7th FUTA Engineering Conference
2025
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| Online Access: | http://hdl.handle.net/20.500.12493/3013 |
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| author | Kabiru, R. U. Abbas, U. Hassan, Aliyu Terseer, A Muhindo, D |
| author_facet | Kabiru, R. U. Abbas, U. Hassan, Aliyu Terseer, A Muhindo, D |
| author_sort | Kabiru, R. U. |
| collection | KAB-DR |
| description | Pavement maintenance is crucial for ensuring road safety, reducing congestion, and minimizing repair costs. However, determining the optimal timing and strategy for pavement maintenance remains a challenge. This study investigated the correlation between the Pavement Condition Index (PCI) and Roughness Index (RI) to develop a numerical model for describing relationship of the two indices for pavement maintenance decision-making. Using statistical analysis and data visualization techniques, a significant correlation was found between PCI and RI. The study revealed a moderate correlation between PCI and IRI (R² = 0.47), indicating that 47% of PCI variations can be explained by IRI. While this suggests that the model is capturing a significant amount of the relationship between PCI and IRI, there is still room for improvement, as about 53% of the variance in PCI is not explained by the model. Since the PCI is a measure of road pavement conditions (on a scale typically ranging from 0 to 100), an RMSE of 7.77 means that the model's predictions for PCI are, on average, about 7 to 8 PCI units off from the actual value. The study established a clear relationship between pavement condition and surface roughness, enabling the development of a model to guide maintenance decisions. The study recommends prioritizing roads with PCI ≥ 50.3 and RI ≤ 5.12 m/km, alongside regular monitoring to ensure timely, cost-effective maintenance. Regular monitoring of PCI and RI values is also recommended to ensure timely maintenance and prevent costly repairs. |
| format | Article |
| id | oai:idr.kab.ac.ug:20.500.12493-3013 |
| institution | KAB-DR |
| language | English |
| publishDate | 2025 |
| publisher | 7th FUTA Engineering Conference |
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| spelling | oai:idr.kab.ac.ug:20.500.12493-30132025-11-13T00:00:47Z Optimal Pavement Maintenance Strategy Based on the Relationship Between Pavement Condition Index and Roughness Kabiru, R. U. Abbas, U. Hassan, Aliyu Terseer, A Muhindo, D Pavement condition index Pavement maintenance International roughness index Uganda National roads authority. Pavement maintenance is crucial for ensuring road safety, reducing congestion, and minimizing repair costs. However, determining the optimal timing and strategy for pavement maintenance remains a challenge. This study investigated the correlation between the Pavement Condition Index (PCI) and Roughness Index (RI) to develop a numerical model for describing relationship of the two indices for pavement maintenance decision-making. Using statistical analysis and data visualization techniques, a significant correlation was found between PCI and RI. The study revealed a moderate correlation between PCI and IRI (R² = 0.47), indicating that 47% of PCI variations can be explained by IRI. While this suggests that the model is capturing a significant amount of the relationship between PCI and IRI, there is still room for improvement, as about 53% of the variance in PCI is not explained by the model. Since the PCI is a measure of road pavement conditions (on a scale typically ranging from 0 to 100), an RMSE of 7.77 means that the model's predictions for PCI are, on average, about 7 to 8 PCI units off from the actual value. The study established a clear relationship between pavement condition and surface roughness, enabling the development of a model to guide maintenance decisions. The study recommends prioritizing roads with PCI ≥ 50.3 and RI ≤ 5.12 m/km, alongside regular monitoring to ensure timely, cost-effective maintenance. Regular monitoring of PCI and RI values is also recommended to ensure timely maintenance and prevent costly repairs. 2025-11-12T21:35:40Z 2025-11-12T21:35:40Z 2024 Article Kabiru, K. R. U., Abbas, U., Aliyu, H., A., T., & Muhindo, D. (2024). Optimal pavement maintenance strategy based on the relationship between pavement condition index and roughness index [Paper presentation]. 7th FUTA Engineering Conference, Nigeria. http://hdl.handle.net/20.500.12493/3013 en Attribution-NonCommercial-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nc-nd/3.0/us/ application/pdf 7th FUTA Engineering Conference |
| spellingShingle | Pavement condition index Pavement maintenance International roughness index Uganda National roads authority. Kabiru, R. U. Abbas, U. Hassan, Aliyu Terseer, A Muhindo, D Optimal Pavement Maintenance Strategy Based on the Relationship Between Pavement Condition Index and Roughness |
| title | Optimal Pavement Maintenance Strategy Based on the Relationship Between Pavement Condition Index and Roughness |
| title_full | Optimal Pavement Maintenance Strategy Based on the Relationship Between Pavement Condition Index and Roughness |
| title_fullStr | Optimal Pavement Maintenance Strategy Based on the Relationship Between Pavement Condition Index and Roughness |
| title_full_unstemmed | Optimal Pavement Maintenance Strategy Based on the Relationship Between Pavement Condition Index and Roughness |
| title_short | Optimal Pavement Maintenance Strategy Based on the Relationship Between Pavement Condition Index and Roughness |
| title_sort | optimal pavement maintenance strategy based on the relationship between pavement condition index and roughness |
| topic | Pavement condition index Pavement maintenance International roughness index Uganda National roads authority. |
| url | http://hdl.handle.net/20.500.12493/3013 |
| work_keys_str_mv | AT kabiruru optimalpavementmaintenancestrategybasedontherelationshipbetweenpavementconditionindexandroughness AT abbasu optimalpavementmaintenancestrategybasedontherelationshipbetweenpavementconditionindexandroughness AT hassanaliyu optimalpavementmaintenancestrategybasedontherelationshipbetweenpavementconditionindexandroughness AT terseera optimalpavementmaintenancestrategybasedontherelationshipbetweenpavementconditionindexandroughness AT muhindod optimalpavementmaintenancestrategybasedontherelationshipbetweenpavementconditionindexandroughness |