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All Journal Journal of Engineering Researcher and Lecturer Innovation in Engineering
Kyaing Kyaing
Department of Civil Engineering, Yangon Technological University, Myanmar
Chemical Engineering, Chemistry & Bioengineering Education Engineering Mechanical Engineering

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An Analytical Hierarchy Process (AHP) Approach to Road Maintenance Prioritization: A Case Study in Shan State, Myanmar Nandar Tun; Kyaing Kyaing; Moe Thet Thet Aye
Innovation in Engineering Vol. 1 No. 2 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v1i2.9

Abstract

Maintaining rural roads plays an important role in the development of society and economy in Shan State, Myanmar. This study aims to prioritize road maintenance by employing the Analytical Hierarchy Process (AHP). There are four types of pavement distress: roughness, raveling, potholes, edge failure, and bleeding. Data collection was conducted and analyzed in ten rural roads by using an Excel-based tool to evaluate the AHP analysis. The findings significantly discussed awareness of road conditions and pavement maintenance requirements, and R4 had the highest level of priority to maintain. The study also compared the Pavement Condition Index (PCI) method with AHP results, highlighting acceptance and differences. Significant differences were noted for others due to the comprehensive nature of AHP when both methods ranked R5 and R6 typically within the top three. This research provides a systematic and transparent approach for prioritizing road maintenance, enhancing resource optimization and decision-making. Both AHP and PCI methods are integrated, and a comprehensive way is recommended to ensure thorough assessment and optimal use of resources to plan road maintenance. The study also contributes to improving the sustainability and performance of the rural road network, supporting broader economic and social goals in Shan State, Myanmar.
Integrated decision-making strategies for expressway maintenance prioritization: Data-driven scoring, rule-based, and AHP approach Nan Htike Yee Mon; Kyaing Kyaing; Moe Thet Thet Aye
Innovation in Engineering Vol. 2 No. 1 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v2i1.17

Abstract

Effective expressway maintenance is crucial for enhancing safety and optimizing resource utilization. The interplay of safety risks, pavement deterioration, and constrained budgets underscores the necessity for a robust decision-making framework. This study introduces an integrated approach combining a data-driven scoring method, an Analytic Hierarchy Process (AHP), and a rule-based strategy to prioritize maintenance activities systematically. The scoring method evaluates critical factors, including Pavement Condition Rating (PCR), Accident Density (AD), Weighted Accident Severity Index (WASI), critical horizontal curves, projected traffic volumes, village access points, and annual rainfall. A rule-based strategy identifies high-priority segments using cumulative ratings derived from the Pavement Condition Index (PCI), International Roughness Index (IRI), Present Serviceability Index (PSI), and Present Serviceability Rating (PSR). AHP further refines prioritization by assigning weights to pavement distress types based on regression analyses. When applied to eight expressway sections, the framework identified Yangon-Phyu and Phyu-Naypyitaw as critical due to elevated safety risks and significant pavement deterioration. The most deteriorated units received top priority among the 130 pavement sample units analyzed. This research underscores the importance of data-driven maintenance strategies to prolong pavement lifespan, reduce accident rates, and enhance operational efficiency, providing actionable insights for engineers and policymakers engaged in sustainable expressway infrastructure management.
Linking pavement condition index and international roughness index: Insights from rural roads in Myanmar Nandar Tun; Kyaing Kyaing; Moe Thet Thet Aye
Journal of Engineering Researcher and Lecturer Vol. 3 No. 3 (2024): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/jerel.v7i3.157

Abstract

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 roads in Shan State over 3 years, divided into 25-meter subsections per road. The analysis showed that PCI and IRI have a strong negative linear relationship, with an R-value (0.748) and an R-squared value (0.559). The study demonstrates the significance of IRI as a key predictor of pavement condition by showing that IRI can account for 55.9% of the variability in PCI. The study concluded that increasing IRI leads to a fall in the PCI, suggesting poorer pavement conditions. These findings emphasize incorporating IRI measurements in pavement maintenance planning to ensure smoother and safer roads, especially in rural areas. The results contribute to more effective and sustainable maintenance practices, optimizing resource allocation and extending pavement lifespan.
Co-Authors Moe Thet Thet Aye Moe Thet Thet Aye Nan Htike Yee Mon Nandar Tun