Evaluation of Pavement Condition Based on the Value of Surface Distress Index and Pavement Condition Index on the Road Section of Gedong Tataan - Kedondong, Pesawaran
Aditya Mahatidanar Hidayat(1*), Gayuh Aji Prasetyaningtiyas(2)(1) Department of Civil Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok
(2) Department Of Civil Engineering, Faculty of Engineering, Universitas Muhammadiyah Surakarta
(*) Corresponding Author
Abstract
Good road infrastructure conditions can stimulate the economic growth of an area. Therefore, routine road maintenance is carried out by its administrators. One of the road sections that needs improvement is the Gedong Tataan - Kedondong road section. The Gedong Tataan - Kedondong section is a provincial road with a length of 16.67 kilometers. To predict the pavement condition on the road section, an assessment method is required for identification. This method is used as one of the tools to assess pavement damage on a road section, and the methods used are the Surface Distress Index (SDI) and the Pavement Condition Index (PCI). The research results show a PCI (Pavement Condition Index) value of 73%, indicating that the road pavement condition is very good, and routine maintenance is required. Meanwhile, with the SDI (Surface Distress Index) method, a value of 65 is obtained, indicating that the road falls into the fair category, and the appropriate treatment options include patching and overlay. Another implication is to allocate the budget wisely for road maintenance. Information from these two indices helps in determining improvement priorities. Routine maintenance can be a better investment in the long term than letting road conditions deteriorate.
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AASHTO. (1993). AASHTO Guide for Design of Pavement Structures, 1993, Aashto.
Appiah, M., Onifade, S. T. & Gyamfi, B. A. (2022). Building Critical Infrastructures: Evaluating The Roles of Governance and Institutions In Infrastructural Developments in Sub-Sahara African Countries. Evaluation Review, 46, 391-415.
Astor, Y., Nabesima, Y., Utami, R., Sihombing, A. V. R., Adli, M. & Firdaus, M. R. (2023). Unmanned aerial vehicle implementation for pavement condition survey. Transportation Engineering, 12, 100168.
Hardiyatmo, H. C. (2015). Highway Maintenance, Gadjah Mada University Press, Yogyakarta, Gadjah Mada University Press.
Indonesia, (2006). Republic of Indonesia Government Regulation PP No. 34 of 2006 concerning Jalan., Jakarta.
Indonesia, (2009). Law of the Republic of Indonesia Law no. 22 of 2009 Concerning Road Traffic and Transportation, Jakarta.
Indonesia, (2021). Republic of Indonesia Government Regulation PP No. 30 of 2021 Concerning the Implementation of Road Traffic and Transportation, Jakarta.
Johnson, A. M. (2000). Best Practices Handbook On Asphalt Pavement Maintenance.
Kumar, P. & Sharma,. (2022). M. Functional Condition Evaluation of Airfield Pavements Using Automated Road Survey System—A Case Study of a Small Sized Airport. Road and Airfield Pavement Technology: Proceedings of 12th International Conference on Road and Airfield Pavement Technology, 2021, 2022. Springer, 185-196.
Ministry of Public Works Directorate General of Highways. (2011). Road Condition Survey Alloy, Jakarta, Indonesian Integrated Road Management Systems.
Ministry of Public Works. (2011) Regulation of the Minister of Public Works Number 13 of 2011 concerning Procedures for Road Maintenance and Ownership. Jakarta.
Shahin, M. Y. (1996). Pavement For Airport, Roads, Parking Lots, Chapman and Hall. Chapman Hall.
Shrestha, S. & Khadka, R. (2021). Assessment of Relationship between Road Roughness and Pavement Surface Condition. Journal of Advanced College of Engineering and Management, 6, 177-185.
Sivagnanasuntharam, S., Sounthararajah, A., Ghorbani, J., Bodin, D. & Kodikara, J. (2023). A State-of-The-Art Review of Compaction Control Test Methods And Intelligent Compaction Technology for Asphalt Pavements. Road Materials and Pavement Design, 24, 1-30.
Sukirman, S. (1999) Highway Flexible Pavement, Nov A. Bandung.
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