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Journal articles on the topic 'Pavement condition index (PCI)'

Author: Grafiati

Published: 19 February 2023

Last updated: 25 July 2025

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1

Zafar, Muhammad Saleem, Syed Naveed Raza Shah, Muhammad Jaffar Memon, Touqeer Ali Rind, and Muhammad Afzal Soomro. "Condition Survey for Evaluation of Pavement Condition Index of a Highway." Civil Engineering Journal 5, no. 6 (2019): 1367–83. http://dx.doi.org/10.28991/cej-2019-03091338.

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Pavements are major means of highway infrastructure. Maintenance and rehabilitation of these pavements for the required serviceability is a routine problem faced by highway engineers and organizations. Improvement in road management system results in reduction of time and cost, the pavement condition survey plays a big role in the pavement management. The initial phase in setting up a pavement management system (PMS) is road network identification. A vital element of a PMS is the capacity to assess the present condition of a pavement network and anticipation of future condition. The pavement c

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2

Cho, Nam-Hyun, Hong-Joon Kwon, Young-Chan Suh, and Jangrak Kim. "Development of Korea Airport Pavement Condition Index for Panel Rating." Applied Sciences 12, no. 16 (2022): 8320. http://dx.doi.org/10.3390/app12168320.

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Airports strive to prevent safety issues, such as foreign object debris (FOD), by pavement management using the pavement condition index (PCI). The index is used in decision-making processes for overall pavement maintenance and repair, such as the prevention of additional damage due to cracks and the like. However, considering the current situation in Korea where mostly mid-sized and large commercial airports exist, problems regarding direct applications of the existing PCI deduct value have been consistently pointed out. In addition, as the relationship between the PCI and whether maintenance

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3

Abed, Muataz Safaa. "Development of Regression Models for Predicting Pavement Condition Index from the International Roughness Index." Journal of Engineering 26, no. 12 (2020): 81–94. http://dx.doi.org/10.31026/j.eng.2020.12.05.

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Flexible pavements are considered an essential element of transportation infrastructure. So, evaluations of flexible pavement performance are necessary for the proper management of transportation infrastructure. Pavement condition index (PCI) and international roughness index (IRI) are common indices applied to evaluate pavement surface conditions. However, the pavement condition surveys to calculate PCI are costly and time-consuming as compared to IRI. This article focuses on developing regression models that predict PCI from IRI. Eighty-three flexible pavement sections, with section length e

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Kartika Novianti, P., Ary Setyawan, and F. Pungky Pramesti. "Evaluation of Road Functional Performance Using Pavement Condition Index (PCI) and International Roughness Index (IRI) Methods Using Hawkeye (Case Study: Demak Ring Road, Central Java Province)." IOP Conference Series: Earth and Environmental Science 1381, no. 1 (2024): 012035. http://dx.doi.org/10.1088/1755-1315/1381/1/012035.

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Abstract The condition of the road pavement can be judged from the functional performance by measuring the surface condition of the pavement and the value of surface roughness. Pavement surface condition measurements are usually carried out using the Pavement Condition Index (PCI) survey method. While the measurement of surface roughness values is usually carried out with the Roughness survey method so that the International Roughness Index (IRI) is obtained. This study tries to evaluate the value of a pavement condition by reviewing functional performance to identify the value of the pavement

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Wadalkar, Shruti, Ravindra K. Lad, and Rakesh K. Jain. "Performance Assessment of Flexible Pavements: Fuzzy Evidence Theory Approach." Civil Engineering Journal 6, no. 8 (2020): 1492–502. http://dx.doi.org/10.28991/cej-2020-03091562.

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Pavement performance evaluation is one of the most important steps of the pavement management system. It consists of identifying pavement condition according to various distresses occurs in the pavement surface. Data collection in performance assessment of road is done in several ways. An attempt has been made to address the problem and a new formalism is proposed for performance assessment of flexible pavements. Vagueness in the perception of expert for performance assessment of pavement based on techno-scientific parameters in linguistic terms for the domain base usage coupled with impressio

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Pramesti, Florentina Pungky, Ary Setyawan, Muhamad Calvin Octavian, Aditya Putra Muhammad Zein, Kholid Ma’sum Safe’i, and Kartika Novianti Parnaningrum. "Can We Predict the Roughness Index (IRI) of a Road Based on its Pavement Condition Index (PCI)?" E3S Web of Conferences 445 (2023): 01015. http://dx.doi.org/10.1051/e3sconf/202344501015.

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Road damages might affect pavement condition which leads to reducing the remaining service life of the pavement. Two methods widely known to measure the pavement condition are among others: the Pavement Condition Index (PCI) and the International Roughness Index (IRI). Both intended to measure the functional condition of the pavement. This study aims to show the relationship between PCI and IRI, hence the road roughness can be predicted from on-foot survey measurements. It will start by collecting the distress and its severity parameter as well as the roughness of 6 road sections using Hawkeye

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Jasem, Alia, and Hayder Abbas Hayder Abbas. "ASSESSMENT OF HIGHWAY PAVEMENT DISTRESSES SUBJECTED TO OVERLOADING IN HILLA CITY: A ROAD NO. 80 CASE STUDY." Kufa Journal of Engineering 15, no. 3 (2024): 47–67. http://dx.doi.org/10.30572/2018/kje/150304.

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Roadway pavements constitute a vital component of transportation infrastructure, and their effective maintenance and rehabilitation are paramount to ensure optimal functionality. Efficient road management systems save time and resources and rely on accurate pavement condition surveys. To ensure optimal functionality, it is crucial to establish a pavement management system (PMS) that involves assessing the current state of the road network and predicting future conditions. In this research, we assessed the effectiveness of asphalt pavements using two well-known approaches: The Present Serviceab

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8

Putri, Ni Putu Ananda Sharirha, Putu Hermawati, and Fransiska Moi. "Penilaian Kondisi Perkerasan Jalan Menggunakan Metode Surface Distress Index (SDI) dan Pavement Condition Index (PCI)." Berkala Forum Studi Transportasi antar Perguruan Tinggi 2, no. 2 (2024): 398–407. http://dx.doi.org/10.19184/berkalafstpt.v2i2.1006.

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Road pavements are crucial components of transportation infrastructure, impacting the safety and comfort of road users. Regular assessment is essential to gauge pavement condition, evaluate performance, and identify damage extent. This study assessed pavement conditions using the Surface Distress Index (SDI) and Pavement Condition Index (PCI). Field data was collected, detailing pavement type and damage levels, which were then analyzed using predefined SDI and PCI parameters. Findings indicate that Jalan Gunung Agung's pavement has an average SDI of 18 (Good) and an average PCI of 63.8 (Good).

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Hermawati, Putu, and N. P. A. S. Putri. "Assessment of road pavement conditions using Surface Distress Index (SDI) and Pavement Condition Index (PCI) methods." IOP Conference Series: Earth and Environmental Science 1294, no. 1 (2024): 012030. http://dx.doi.org/10.1088/1755-1315/1294/1/012030.

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Abstract Road pavement is an important element in transportation infrastructure that affects the comfort and safety of road users. It is important to carry out regular assessments of the condition of the road pavement. This study aims to evaluate the condition of the road pavement using the Surface Distress Index (SDI) and Pavement Condition Index (PCI) methods. It is collecting field data regarding the condition of the road pavement, including the type and extent of existing damage. This data is then analyzed using the formula that has been determined in the SDI and PCI methods. In the resear

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Isradi, Muhammad, Joewono Prasetijo, Thomas Setiabudi Aden, and Andri Irfan Rifai. "Relationship of present serviceability index for flexible and rigid pavement in urban road damage assessment using pavement condition index and international roughness index." E3S Web of Conferences 429 (2023): 03012. http://dx.doi.org/10.1051/e3sconf/202342903012.

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Functional and structural failures in the pavement structure can be distinguished. The Road state Value measures the functional state of road pavements in managing flexible and stiff pavements for urban roadways in Indonesia. The pavement condition assessment is based on the unevenness of the pavement surface, rutting, and direct surface damage. This research aims to assess the worth of road damage on flexible and rigid pavements and establish a special relationship between Present Serviceability, International Roughness, and Pavement Condition Index. Direct observation in the field is utilize

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Aljubory, Ahmed, Teba Tariq Khaled, Ali Jabbar Kadhim, Mohd Fazaulnizam Bin Shamsudin, Andrew Minto, and Rwayda Kh S. Al-Hamd. "Leveraging Maintenance Management Techniques to Evaluate Pavement Condition Index: Central Iraq Highway System." Journal of Engineering and Sustainable Development 29, no. 2 (2025): 198–208. https://doi.org/10.31272/jeasd.2544.

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The objective of this paper is to evaluate the maintenance strategies applied to the Latifiya-Musayib highway section to improve the pavement condition that significantly deteriorated due to military operations during and after the third Gulf War. The functional evaluation measured the Pavement Condition Index (PCI) every five years. The measurement relied on a visual survey of the pavement surface by examining different types of distress that varied in severity. PCI values measured from 2005 to 2015 indicated that the pavement surface could be considered satisfactory according to standard and

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Ahmed, Namir G., Ghassan J. Awda, and Suham E. Saleh. "DEVELOPMENT OF PAVEMENT CONDITION INDEX MODEL FOR FLEXIBLE PAVEMENT IN BAGHDAD CITY." Journal of Engineering 14, no. 01 (2008): 2120–35. http://dx.doi.org/10.31026/j.eng.2008.01.06.

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The pavement is one of the basic components of road infrastructure and, therefore, directly influences general levels of transport safety, as well as the quality of transportation services in human and cargo traffic. Accordingly, the objective of the present study is to develop the prediction model for pavement condition index (PCI) for flexible pavement. To achieve this objective, (80) selected pavement sections in four sites in the study area and (1100) sample of pavement sections were selected from these sections for the purpose of (PCI) model building. These data include ; longitudinal , t

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Prayitno, Eko. "Pengaruh Kecepatan Kendaraan Terhadap Tingkat Kerusakan Jalan Menggunakan Metode PCI (Pavement Condition Index)." Jurnal Ilmiah Rekayasa Sipil 17, no. 2 (2020): 161–71. http://dx.doi.org/10.30630/jirs.12.2.358.

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The pavement and pavement structure are structure consisting of one or several layers of processed materials, whose the function is to support the weight of the traffic load without causing significant damage to the construction. Pavement Condition Index (Pavement Condition Index) is the level of pavement surface condition and its size in terms of the power function that refer to the conditions and damage on the pavement surface that occurs. The Pavement Conditions Index or PCI is a numerical index that has values ranging from 0 to 100 with criteria excellent, very good, good, fair, poor, ve

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Tun, Nandar, Kyaing Kyaing, and Moe Thet Thet Aye. "Linking pavement condition index and international roughness index: Insights from rural roads in Myanmar." Journal of Engineering Researcher and Lecturer 3, no. 3 (2024): 127–36. http://dx.doi.org/10.58712/jerel.v7i3.157.

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There is no comprehensive understanding of the relationship between the Pavement Condition Index (PCI) and the International Roughness Index (PCI) in rural road in Myanmar, which is important for developing effective and efficient maintenance strategies. This study evaluated the relationship between the Pavement Condition Index (PCI) and the International Roughness Index (IRI) in flexible rural roads in Myanmar. The aim of this study is to examine how these two key variables correlate and how their relationship can optimize maintenance strategies. Data were collected from ten flexible rural ro

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Amanah, Tody. "The Pavement Condition Index Functional Evaluation of Runway Pavement Used Pavement Condition Index (PCI) Method (Case Study : Fatmawati Soekarno Airport Provinsi Bengkulu)." Journal of Civil Engineering and Planning 4, no. 1 (2023): 14–25. http://dx.doi.org/10.37253/jcep.v4i1.7660.

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Maintenance of air transportation infrastructure, in the pavement system section at Fatmawati Airport, Bengkulu Province and other airports in Indonesia, must had high performance, safety, security, reliability and sustainability. Routine inspection activities at major airports in Indonesia usually use the Pavement Condition Index (PCI) method as a parameter. This journal examines handling costs, handling periods and the minimum based on the reduction in PCI values due to existing traffic loads by building several types of handling scenarios. In addition, it also evaluates the structural perfo

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Zakaria, Mohamed H., Amal Al-Ayaat, and Sayed Shwaly. "Impact of Road Humps on the Pavement Surface Condition." Civil Engineering Journal 05, no. 06 (2019): 1314–26. https://doi.org/10.28991/cej-2019-03091334.

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In order to fight against over-speeding, the government and people in Egypt resorted to the installation of speed humps without adequate studies. On this basis, speed humps became widespread in most of the Egyptian roads in a semi-random way. It has been observed that the pavement condition of the roads has deteriorated in the vicinity of these humps. For impact assessment of speed humps on the pavement condition index (PCI), three roads link Kafr El-Sheikh city with three major towns in Kafr El-Sheikh governorate were selected to conduct PCI survey. The results indicated that the presence of

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Abd Al-Hassan, Sarah, and Haider H. Aodah. "Utilizing GIS Application to Evaluate Pavement Condition Index: Case Study In Nasiriya City." University of Thi-Qar Journal for Engineering Sciences 12, no. 1 (2022): 159–63. http://dx.doi.org/10.31663/tqujes.12.1.424(2022).

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In all Countries, road pavements are recognized as one of the most critical structural components. Attention must be paid to the management of maintenance work and its timely execution in order to keep the pavement in good conditions and acceptable service level. Pavement distress check is very beneficial to the capabilities of Pavement Management Systems (PMS). The objective of this research is to connect the PAVER software database to A GIS software in order to perform spatial analysis of pavement condition and develop location-related heat distress maps based on Pavement Condition Index (PC

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18

Miguel, Figueroa, Mora Otto, and Borrero Diego. "Relationship of operating speed with pavement serviceability from the pavement condition index. Case of study: Barranquilla, Colombia." Indian Journal of Science and Technology 13, no. 37 (2020): 3904–9. https://doi.org/10.17485/IJST/v13i37.764.

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Abstract <strong>Objectives:</strong> The present research aims to find the relationship in the field that the road condition index has concerning its operating speed, based on the expected assumption that the worse the condition index, the lower the road operating speed will be. <strong>Methodology:</strong> The methodology used to carry out this research consisted in the estimation of the condition index (PCI) and the measurement of speeds in different road sections of the city of Barranquilla (Colombia), where a record of the surface conditions of the pavement from 0 when it

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Ibragimov, Eldor, Yongsoo Kim, Jung Hee Lee, Junsang Cho, and Jong-Jae Lee. "Automated Pavement Condition Index Assessment with Deep Learning and Image Analysis: An End-to-End Approach." Sensors 24, no. 7 (2024): 2333. http://dx.doi.org/10.3390/s24072333.

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The degradation of road pavements due to environmental factors is a pressing issue in infrastructure maintenance, necessitating precise identification of pavement distresses. The pavement condition index (PCI) serves as a critical metric for evaluating pavement conditions, essential for effective budget allocation and performance tracking. Traditional manual PCI assessment methods are limited by labor intensity, subjectivity, and susceptibility to human error. Addressing these challenges, this paper presents a novel, end-to-end automated method for PCI calculation, integrating deep learning an

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Abedal, Abdulhaq Hadi, and Tuqa Khalid. "Assessment of the Functional Performance of Mohammed Al-Qasim Expressway Pavement Surface." Journal of University of Babylon for Engineering Sciences 26, no. 6 (2018): 60–75. http://dx.doi.org/10.29196/jubes.v26i6.1059.

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To achieve these requirements need to assess the pavement surface condition (Functional Performance). The pavement surface damage that frequently happens has an effect on the safety and comfort of road users. Pavement condition assessment is the basic step to select a suitable type of maintenance and rehabilitation program. This study aims to estimate the functional condition of the Mohammed Al-Qasim Expressway pavement surface by the Pavement Condition Index (PCI) assessment with data collected throughout 2017. The result showed that the AC pavement surface condition assessment is equal to 70

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Dost, Rohid, Kaiwaan Abdulhai, Sayed Javid Azimi, and Mohammad Haroon Sarwary. "ASSESSMENT OF FLEXIBLE PAVEMENT CONDITION USING PCI: A CASE STUDY." Eídos 18, no. 26 (2025): 109–20. https://doi.org/10.29019/eidos.v18i26.1539.

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The pavement condition index (PCI) is an inexpensive and simple method to evaluate pavement distresses. The main purpose of this study is to identify and evaluate pavement distress of Jalalabad highway using pavement condition index (PCI) to find a practical solution of road distress by suggesting different alternatives of treatment. The evaluation of pavement condition index (PCI) is carried out by visual survey pursuing ASTM D 6433. The highway is divided into A and B two sections, each section is divided into sample units, and the intensity of distress is evaluated in each sample unite. The

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Suhardin, Mangidi, Sunaryo Sunaryo, Sulaiman Sulaiman, and Sufrianto Sufrianto. "Pengaruh Kerusakan Jalan Terhadap Nilai Ekonomi Penanganan Konstruksi Jalan." Sultra Civil Engineering Journal 2, no. 1 (2021): 19–28. https://doi.org/10.54297/sciej.v2i1.164.

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This study aims to analyze the value of the Pavement Condition Index (PCI), analyze the amount of the budget needed to deal with road damage, and analyze the value of the influence between the value of the PCI and the budget for road repair on the Gunung Jaya - PoliPolia road section. The results of this study indicate that the pavement condition index (PCI) of Gunung Jaya - Poli-Polia Road is 52.5 in the medium category. The total budget required to deal with the damage to the Gunung Jaya - Polia-Polia road is Rp. 12,085,500,000.00. PCI value affects the budget plan of 21.5%.

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Sabaruddin, M Taufik YS, and Rizky KS. "Utilization of Pavement Condition Index on Runway Pavement Sultan Babullah Ternate Airport." Technium: Romanian Journal of Applied Sciences and Technology 17 (November 1, 2023): 200–204. http://dx.doi.org/10.47577/technium.v17i.10074.

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The Pavement Condition Index (PCI) assessment is one method used to assess the state of airport runway pavement. The runway (flexible pavement) of Sultan Babullah Ternate Airport, which has a size of 2300 m by 45 m, served as the site for PCI research in this study. The ASTM D5340-12 procedure (Standard Test Method For Airport Pavement Condition Index Surveys) was used to examine this PCI. The average PCI value of the entire sample was calculated from the results of the overall PCI study by averaging all PCI values for each sample, the results for the average PCI value of the entire sample wer

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Radwan, Mostafa M., Ahmad Mousa, and Elsaid Mamdouh Mahmoud Zahran. "Enhancing Pavement Sustainability: Prediction of the Pavement Condition Index in Arid Urban Climates Using the International Roughness Index." Sustainability 16, no. 8 (2024): 3158. http://dx.doi.org/10.3390/su16083158.

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Municipalities and transportation departments worldwide are striving to keep road pavement conditions acceptable, thus enhancing pavement sustainability. Although the pavement condition index (PCI) is widely used to assess distress conditions, traditional visual surveys used for PCI estimation can be laborious, expensive, and time-consuming. The international roughness index (IRI) can be measured more economically and conveniently than PCI; however, it does not directly indicate the surface condition of the pavement. In this study, a PCI–IRI correlation is proposed for urban roads located in t

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Li, Li, Dandan Liu, Li Teng, and Jie Zhu. "Development of a Relationship between Pavement Condition Index and Riding Quality Index on Rural Roads: A Case Study in China." Mathematics 12, no. 3 (2024): 410. http://dx.doi.org/10.3390/math12030410.

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The current standard for evaluating road conditions worldwide relies primarily on the Pavement Condition Index (PCI) and the International Roughness Index (IRI). The IRI can be further calculated to obtain the Riding Quality Index (RQI). To assess pavement damage, various imaging equipment is commonly utilized, providing consistent results that align with actual road conditions. For roughness detection, the Laser Profilometer offers excellent results but may not be suitable for rural roads with poor conditions due to its high inspection cost and the need for a stable environmental setting. The

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Amelia Setiaputri, Heidy, Muhammad Isradi, Andri Irfan Rifai, Amar Mufhidin, and Joewono Prasetijo. "Analysis Of Urban Road Damage With Pavement Condition Index (PCI) And Surface Distress Index (SDI) Methods." ADRI International Journal of Sciences, Engineering and Technology 6, no. 01 (2021): 10–19. http://dx.doi.org/10.29138/ijset.v6i01.61.

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Letjen S. Parman road is one of the urban roads with a length of 4.2 km located in West Jakarta area and is a primary arterial road with three two-way lanes divided, where the median is a toll road in the city of Jakarta. This study aims to evaluate road pavement conditions functionally and compare the value of road pavement conditions based on two methods, namely Pavement Condition Index (PCI) and Surface Distress Index (SDI) which are used as the basis for knowing the type of road maintenance handling. This study uses direct observation method in the field by conducting a visual survey of th

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Bryce, James, Richard Boadi, and Jonathan Groeger. "Relating Pavement Condition Index and Present Serviceability Rating for Asphalt-Surfaced Pavements." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 3 (2019): 308–12. http://dx.doi.org/10.1177/0361198119833671.

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In response to the two latest transportation funding authorization bills, the Moving Ahead for Progress in the 21st Century Act and the Fixing America’s Surface Transportation Act, rules that require the reporting of specific pavement condition measures have been developed and encoded into federal regulation. Pavement performance rules published to the federal register require the reporting of the International Roughness Index (IRI), percent cracking, rutting (for asphalt-surfaced pavements) and faulting (for jointed concrete pavements). Allowing that the measurement of the IRI on pavements wi

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Abbas, Saifal, Ar. Ahsan Khalil, Md Sobuj Ali, Saida Sultana, and Syed Haseeb Haider Shah. "Evaluating Pavement Condition Index and Maintenance Management using Artificial Neural Networks." European Journal of Applied Science, Engineering and Technology 2, no. 2 (2024): 224–32. https://doi.org/10.59324/ejaset.2024.2(2).15.

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The pavement condition index (PCI) calculates pavement conditions based on current distresses. In traditional PCI calculation, a visual inspection method collects field data such distresses and stiffness. Data helps anticipate PCI values, a lengthy and difficult process. This research aims to create a simple, adaptable model that shows how PCIs, torments, and stiffness relate. Artificial neural networks (ANN) forecast PCI values for various parts, eliminating manual labour and specialized procedures. Based on distresses, the PCI estimates pavement conditions. For typical PCI intentions, a visu

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Abbas, Saifal, Ar Ahsan Khalil, Md Sobuj Ali, Saida Sultana, and Syed Haseeb Haider Shah. "Evaluating Pavement Condition Index and Maintenance Management using Artificial Neural Networks." European Journal of Applied Science, Engineering and Technology 2, no. 2 (2024): 224–32. http://dx.doi.org/10.59324/ejaset.2024.2(2).15.

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The pavement condition index (PCI) calculates pavement conditions based on current distresses. In traditional PCI calculation, a visual inspection method collects field data such distresses and stiffness. Data helps anticipate PCI values, a lengthy and difficult process. This research aims to create a simple, adaptable model that shows how PCIs, torments, and stiffness relate. Artificial neural networks (ANN) forecast PCI values for various parts, eliminating manual labour and specialized procedures. Based on distresses, the PCI estimates pavement conditions. For typical PCI intentions, a visu

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Lestari, Rossy Indah, and Martinus Agus Sugiyanto. "Road Damage Analysis Using PCI Method." Journal of Research and Inovation in Civil Engineering as Applied Science (RIGID) 4, no. 1 (2025): 40–48. https://doi.org/10.58466/rigid.v4i1.1736.

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Problematic road infrastructure or pavement due to heavy and repeated traffic volume will cause a decrease in road quality. One of the road damage problems occurred on the Babakan - Pabuaran road section, Cirebon Regency. In this case, the condition survey is carried out visually and then analyzed using the Pavement Condition Index (PCI) method. From the results of data on the condition of the Babakan - Pabuaran road of Cirebon Regency along 3 km and 5 m wide with bending pavement, it can be seen that the more dominant type of damage is the 83.37 m² Basin, 57.27 m² Grain Release, 31.15 m² Hole

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Park, Hae-Won, Jong Myung Kim, Jae Hoon Lee, Dae Sik Lee, and Jin-Hoon Jeong. "Pavement Condition Index Model for Mechanistic–Empirical Design of Airport Concrete Pavements Considering Environmental Effects." Buildings 13, no. 10 (2023): 2512. http://dx.doi.org/10.3390/buildings13102512.

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A transfer function is the main model of a design program that correlates mechanistically calculated damage to a pavement with the actual field distress. In this study, a pavement condition index (PCI) model that reflects environmental and traffic loads was developed as a transfer function for a design program for airport concrete pavements. Seven runways from five airports in Korea, for which design data were available, were selected as target runways, and their design, traffic, and weather data were collected. The minimum tensile stress of the slab generated by environmental loads and the ma

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Almahdi, Abdulla Ibrahim M., Mohy Eddin Mustafa Abossa, and Abdulkhaliq Ashour M. Aboulqasim. "Evaluation Pavement Distresses for Runway Asphalt Using Pavement Condition Index (PCI)." International Science and Technology Journal 34, no. 2 (2024): 1–16. http://dx.doi.org/10.62341/amae2187.

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Due to the long period of time since the construction of the surfaces designated for landing and take-off of aircraft (Airport Pavement) at Sabha International Airport and as a result of several factors that lead to causing significant distress to it, the most important of which is the distress resulting from obsolescence, as these surfaces usually have a specific maintenance program. Early failure of runway pavement structure can be detected by the distress on the asphalt surface of flexible runway pavement and obtain the value of runway pavement condition, it was analyzed using Pavement Cond

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Rifai, Muji, Ary Setyawan, Fajar Sri Handayani, and Antonius Dipta Arun. "Evaluation of functional and structural conditions on flexible pavements using pavement condition index (PCI) and international roughness index (IRI) methods." E3S Web of Conferences 429 (2023): 05011. http://dx.doi.org/10.1051/e3sconf/202342905011.

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Road quality degradation affecting on safety and comfort of road users. It is necessary to carry out regular assessments of the functional and structural condition of the pavement. Evaluation of functional and structural conditions is carried out to maintain the good quality of road services. This research aims to evaluate the functional and structural conditions using the Pavement Condition Index (PCI) method and the functional condition of the road using the International Roughness Index (IRI) method. The tool used in testing functional conditions is the Hawkeye 2000 car which generates Pave

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Novianto, Dicky, Rulhendri, and Nurul Chayati. "Analysis of Types of Flexible Pavement Damage Using the Pavement Condition Index Method." Journal of Applied Civil Engineering and Infrastructure Technology 5, no. 1 (2024): 01–06. http://dx.doi.org/10.52158/jaceit.v5i1.562.

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Roads are land transportation infrastructure that is very important in facilitating economic relations and other social activities. If road damage occurs, it will not only result in the obstruction of other economic and social activities but can also cause accidents for road users. The aim of this research is to explain the types of damage to the surface layer of flexible pavement and to find out the index value of the pavement condition index for Jalan Kreteg-Lebak Jaya based on the PCI (Pavement Condition Index) method so that the results can be used in preparing road maintenance programs. T

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Youssef, Medhat Abdelrahman, and Abdelbary Altayb Elbasher. "Optimal Maintenance Works for the Aborshada Road in the Western Region of Libya." Slovak Journal of Civil Engineering 22, no. 3 (2014): 37–44. http://dx.doi.org/10.2478/sjce-2014-0016.

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Abstract In this research, the condition of a road pavement was investigated for the Aborshada Road in the Gharian region of Libya to determine the optimal maintenance works. Previously, a simple engineering judgment was the only procedure followed by the Gharian municipal engineers for evaluating pavements and prioritizing maintenance. The surface condition of the Aborshada Road pavement was investigated using “the Pavement Condition Index (PCI)” visual technique. The pavement was inspected to survey the different distresses in each sample unit. Ninteen pavement distresses were classified acc

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Mashudi, Anang, Haris Muhammadun, and Risma Marleno. "ANALYSIS OF ROAD DAMAGE USING THE PAVEMENT CONDITION INDEX METHOD ON THE LAMONGAN CITY – MOJOKERTO BORDER ROAD SECTION." INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY ENGINEERING AND INFORMATION SYSTEM (IJATEIS) 3, no. 4 (2024): 534–50. https://doi.org/10.55047/ijateis.v3i4.1204.

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Road as an important facility for the community to achieve a desired goal both mobilizing goods and services. On the Lamongan City – Mojokerto border road section STA 20+000 - 26+000 based on the field has experienced a decrease in road services that are not stable / comfortable with a lot of damage to the road. This study aims to determine how much the pavement performance index is with the Pavement Condition Index (PCI) method, determine the handling of road maintenance and the cost of handling road maintenance based on the two methods. From the research results, the value of the pavement pe

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Yosritzal, Yosritzal, Aidil Kurniawan, and Elsa Eka Putri. "Evaluation of Road Pavement Performance and Conditions Simp. Duku (Ketaping) – Pariaman Section." CIVED 10, no. 3 (2023): 919–33. http://dx.doi.org/10.24036/cived.v10i3.21.

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Road section Simp. Duku (Ketaping) - Pariaman is one of the strategic routes in the area of West Sumatra Province. This road section has the potential to be developed because it is a fast lane to the Minangkabau International Airport and the City of Padang as the center of government for the Province of West Sumatra. This study aims to determine the performance of the Simp. Duku (Ketaping) – Pariaman seen from the level of service which refers to MKJI 1997 and the value of road pavement conditions at STA 16+420 to STA 20+500 refers to the PCI (Pavement Condition Index). From the research res

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Teopilus, Clarence Deborah, and Mukhammad Rizka Fahmi Amrozi. "The Evaluation of Pavement Condition Assessment Methods for Road Assets in Coastal Areas." INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur 19, no. 2 (2023): 183–93. http://dx.doi.org/10.21831/inersia.v19i2.61089.

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The Daendels road is a vital provincial road asset that facilitates the distribution of goods and services, enhances tourism access, and promotes socio-economic development in the southern region of Java Island. The deteriorated condition of the Daendels road pavement has the potential to escalate both the likelihood of accidents and vehicle operating costs. In Indonesia, road distress is measured using the Surface Distress Index (SDI), but certain types of distress are not yet incorporated into the calculation. Therefore, this study aims to identify the typical road distress in the coastal re

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Nurjanah Ahmad, Siti, Tri Harianto, Lawalenna Samang, and Muralia Hustim. "Level vulnerability damage of pavement using Pavement Condition Index method." MATEC Web of Conferences 181 (2018): 11003. http://dx.doi.org/10.1051/matecconf/201818111003.

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This study aims to assess the vulnerability of road pavement damage using the Pavement Condition Index (PCI) method, including the direction of handling pavement road damage. Assessment of the level of road surface damage is based on the type of damage, the degree of damage, and amount of damage. Field observations and surveys were conducted on several Collector roads in Kendari. The mean PCI score as an indicator of damage to the Mokodompit road segment shows moderate damage conditions with a mean the value PCIaverage = 53 and surface damage area = 34.419% and the countermeasures according to

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Heriadi, Klaudius Aristo, and Izveztia Piccolo Proyustitia Missa. "Penilaian Pavement Condition Index (PCI) Jalan Opak Raya." JURNAL TEKNIK SIPIL UKRIM 1, no. 2 (2024): 48–55. http://dx.doi.org/10.61179/jtsukrim.v1i2.634.

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Kondisi jalan yang baik mempengaruhi mobilitas masyarakat untuk melakukan aktivitas ekonomi. Jalan yang terbebani oleh tingginya dan seringnya volume lalu lintas di atasnya dapat menurunkan kualitas jalan, baik dari segi struktural maupun fungsional. Ruas jalan yang dijadikan studi kasus dalam penelitian yaitu jalan Opak Raya yang merupakan alternatif bagi warga di Kecamatan Kalasan dan Prambanan dengan panjang segmen 2,5 km dan lebar 6 m. Tujuan penelian adalah mengetahui jenis dan menentukan tingkat kerusakan jalan dengan menggunakan metode Pavement Condition Index (PCI). Hasil analisis menu

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Zaid, Muhammad, Rahayu Sulistyorini, and Siti Anugrah Mulya Putri Ofrial. "Analisis Tingkat Kerusakan Jalan dengan Menggunakan Metode Pavement Condition Index (PCI) (Studi Kasus : Jalan P. Tirtayasa Bandar Lampung)." Jurnal Rekayasa Sipil dan Desain 9, no. 2 (2021): 201–12. https://doi.org/10.23960/jrsdd.v9i2.1746.

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The purpose of this study is to explain the types of damage to the flexible pavement surface layer, to determine the index value of the pavement condition on the P. Tirtayasa road section based on the PCI (Pavement Condition Index) method, so that these results can be used in the preparation of road maintenance programs. The results of this study are the average of Pavement Condition Index (PCI) value on P. Tirtayasa street is 49.4 with moderate conditions (fair). The most dominant type of damage was patches with a damaged area of 2378.96 m (44.7%), then crocodile cracks with a damaged area of

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عبدالمطلب عبدالعزيز يخلف علي, محمد عمران امبارك السكبي, and مفتاح محمد صالح سريح. "Predicting Pavement Condition Index Using Machine Learning Algorithms and Conventional Techniques." Journal of Pure & Applied Sciences 21, no. 4 (2022): 304–9. http://dx.doi.org/10.51984/jopas.v21i4.2267.

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Government agencies and transportation engineers use pavement management systems (PMS) to evaluate pavement performance and keep pavement above the minimum acceptable performance standards. The Pavement Condition Index (PCI) and the international roughness index (IRI) are among the most commonly used indices to evaluate pavement conditions. Due to IRI data collection being more accessible and less expensive than collecting pavement distress data, this study aims to develop PCI models that can successfully estimate the PCI values based on IRI for flexible pavement using two Machine Learning tec

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Karballaeezadeh, Nader, Danial Mohammadzadeh S., Dariush Moazemi, Shahab S. Band, Amir Mosavi, and Uwe Reuter. "Smart Structural Health Monitoring of Flexible Pavements Using Machine Learning Methods." Coatings 10, no. 11 (2020): 1100. http://dx.doi.org/10.3390/coatings10111100.

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The pavement is a complex structure that is influenced by various environmental and loading conditions. The regular assessment of pavement performance is essential for road network maintenance. International roughness index (IRI) and pavement condition index (PCI) are well-known indices used for smoothness and surface condition assessment, respectively. Machine learning techniques have recently made significant advancements in pavement engineering. This paper presents a novel roughness-distress study using random forest (RF). After determining the PCI and IRI values for the sample units, the P

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Psalmen Hasibuan, Rijal, and Medis Sejahtera Surbakti. "Study of Pavement Condition Index (PCI) relationship with International Roughness Index (IRI) on Flexible Pavement." MATEC Web of Conferences 258 (2019): 03019. http://dx.doi.org/10.1051/matecconf/201925803019.

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Road is an infrastructure that built to support the movement of the vehicle from one place to another for different purposes. Today, it is often found damage to road infrastructure, both local roads, and arterial roads. Therefore, to keep the pavement condition to remain reliable, in Indonesia has a periodic program by conducting an objective functional inspection of roads regulated by Bina Marga using the International Roughness Index (IRI). However, the IRI examination is not sufficient to represent the actual field condition; it is necessary to perform subjective functional examination by a

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Wibowo, Aris, Ade Sjafruddin, Bambang S. Subagio, and Russ Bona Frazila. "Development of Airport Pavement Condition Evaluation Using Dominant Damage and Grid-Based Analysis." Civil Engineering Journal 11, no. 5 (2025): 1924–43. https://doi.org/10.28991/cej-2025-011-05-011.

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Airport Pavement Condition Index (PCI) is a measure of pavement stability represented by an index ranging from 0 (failed) to 100 (best). The PCI evaluation procedure includes a series of steps, which are time-consuming and expensive. Therefore, this study aimed to propose an alternative PCI evaluation procedure that focused on major pavement damage using a grid-based system. The methods used in the analysis included discussions with expert panels and linear & nonlinear regression analysis. The results of the deduct value curve showed good statistical performance with an average RMSE of 1.8

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Fajri, Ma’sum, Fakhrul Rozi Yamali, and Emelda Raudhati. "Analisa Kerusakan Perkerasan Jalan Rigid Dengan Metode Bina Marga Dan Metode PCI (Pavement Condition Index) Studi Kasus Jalan Lintas Muara Tembesi – Muara Bulian." Jurnal Talenta Sipil 5, no. 2 (2022): 354. http://dx.doi.org/10.33087/talentasipil.v5i2.138.

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In analyzing the condition of rigid road damage, the Bina Marga method and the PCI (Pavement Condition Index) method can be used. This study aims to determine the level of road surface damage and how to handle it on the Muara Tembesi - Muara Bulian crossing, Simpang Terusan Village to Tenam Village, with a length of 2,850km and a pavement width of 7.5m. In this study, the priority order of road handling using the Bina Marga method is based on a range of values from 0 to 7, while the PCI method ranks pavement conditions from 0 to 100. The results of the assessment on the Muara Tembesi - Muara B

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Kurniawan, Robby, Bambang Wasito, and Wiwid Suryono. "ANALYSIS OF TAXIWAY PAVEMENT CONDITIONS WITH THE PAVEMENT CONDITION INDEX (PCI) METHOD AT JUANDA AIRPORT SURABAYA." Proceeding of International Conference of Advance Transportation, Engineering, and Applied Social Science 2, no. 1 (2023): 867–73. http://dx.doi.org/10.46491/icateas.v2i1.1753.

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Surabaya Juanda International Airport experiences an increase in aircraft transportation needs every year, where the increase results in reduced airside facility capabilities. The occurrence of some damage to taxiways N5N and N5S is caused by the temperature of the pavement reaching the soft point, the high groundwater level in the area, and aircraft loads that exceed capacity. This can interfere with flights that are about to take off and need to be analyzed regarding the level of damage and how to repair it. In analyzing damage to taxiway facilities can be planned with the Pavement Condition

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Prayitno, Eko, Veronika Veronika, Nori Yusri, and Al Busyra Fuadi. "Metode Pavement Condition Index Perkerasan Rigid Pavement Jalan Raya Bandar Buat Kota Padang STA 02+000 - STA 07+000." Jurnal Talenta Sipil 8, no. 1 (2025): 309. https://doi.org/10.33087/talentasipil.v8i1.772.

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The city highway for the city of Padang is a traffic route in West Sumatra province that is mostly passed by motorized vehicles and vehicles with four or more axes. Rigid pavement is a type of pavement that uses concrete as the main material of pavement and is one of the types of road pavement used, in addition to flexible pavement. The purpose of this study is to find out the types of damage that exist on the rigid pavement surface layer and to find out the value of the pavement condition or the level of damage that occurs on the rigid pavement surface on the city highway section for STA 02+0

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Radwan, Mostafa M., Elsaid M. M. Zahran, Osama Dawoud, Ziyad Abunada, and Ahmad Mousa. "Comparative Analysis of Asphalt Pavement Condition Prediction Models." Sustainability 17, no. 1 (2024): 109. https://doi.org/10.3390/su17010109.

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There is a growing global interest in preserving transportation infrastructure. This necessitates routine evaluation and timely maintenance of road networks. The effectiveness of pavement management systems (PMSs) heavily relies on accurate pavement deterioration models. However, there are limited comparative studies on modeling approaches for rural roads in arid climatic conditions using the same datasets for training and testing. This study compares three approaches for developing a pavement condition index (PCI) model as a function of pavement age: classical regression, machine learning, an

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Irvayana, I. Putu Dika, Yackob Astor, Atmy Verani Rouly Sihombing, and Asep Sundara. "Analysis of Runways Surface Conditions Using Pavement Condition Index Method (Case Study: I Gusti Ngurah Rai International Airports)." RSF Conference Series: Engineering and Technology 2, no. 2 (2022): 1–11. http://dx.doi.org/10.31098/cset.v2i2.554.

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The growth of aircraft and passenger movements every year requires the runway pavement structure to go above and beyond to accept dynamic loads caused by each type of operating aircraft. As a result of the significant growth value, it often causes the runway pavement structure to fail prematurely. Early failure of the runway pavement structure can be detected through the distress on the asphalt surface of the runway's flexible pavement. In this study, an analysis was carried out on the surface runway at I Gusti Ngurah Rai International Airport to determine the value of the runway pavement cond

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