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All Journal Journal of Engineering Researcher and Lecturer The Indonesian Journal of Computer Science
Aye, Moe Thet Thet
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering Engineering Mechanical Engineering

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Linking pavement condition index and international roughness index: Insights from rural roads in Myanmar Tun, Nandar; Kyaing, Kyaing; Aye, Moe Thet Thet
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.
Linking pavement condition index and international roughness index: Insights from rural roads in Myanmar Tun, Nandar; Kyaing, Kyaing; Aye, Moe Thet Thet
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.
Factors influencing Users’ Perception on Yangon Bus Service and Origin-Destination Estimation for Bus Trips in Yangon City Khin, May Thu Zar; Kyaw , Nyan Myint; Aye, Moe Thet Thet
The Indonesian Journal of Computer Science Vol. 15 No. 2 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v15i2.5092

Abstract

Urban public transportation in Yangon faces challenges such as overcrowding, irregular service, and mismatched supply and demand, affecting passenger satisfaction. This study evaluates the Yangon Bus Service (YBS) by combining users’ perception analysis with Origin–Destination (O–D) estimation. Surveys measured passenger satisfaction with service attributes, and O–D matrices assessed travel patterns across the city. Stepwise multiple linear regression showed that comfort (0.107), bus route (0.106), and bus stop cleanliness (0.432) positively influence satisfaction, while bus fare (-0.117) has a negative effect. Travel activity is concentrated in Yangon's central areas, reflecting the city’s monocentric structure and generating high daily bus demand. The findings provide insights to improve YBS by identifying factors affecting satisfaction and travel demand, guiding service enhancements, optimizing operations, and increasing ridership.
GIS-Based Coverage Analysis of Public Bus Services in Yangon City, Myanmar Khin, May Thu Zar; Kyaw, Nyan Myint; Aye, Moe Thet Thet
The Indonesian Journal of Computer Science Vol. 15 No. 2 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Public bus transport is the dominant travel mode in Yangon, serving millions of daily commuters and playing a vital role in urban mobility. This study presents a GIS-based coverage analysis of public bus services in Yangon City to evaluate spatial accessibility and identify service gaps within the transit network. Service effectiveness is assessed using coverage indicators, including service area buffers, population coverage ratios, and accessibility indices. The results show that central townships, such as South Okkalapa Township, Yankin Township, and Thaketa Township, achieve high coverage levels exceeding 80%, while peripheral areas, including Mingalardon Township and Dagon Myothit Township, remain below 40%. Heat map analysis highlights dense coverage in the central business district and surrounding areas, contrasted with limited accessibility in outer regions such as Hlaingtharyar Township. Key service gaps are also identified along major corridors like Parami Road and Bayint Naung Road. The study reveals significant spatial inequalities in transit accessibility and provides a data-driven basis for improving sustainable urban transport planning.
Co-Authors Khin, May Thu Zar Kyaing, Kyaing Kyaw , Nyan Myint Kyaw, Nyan Myint Mon, Nan Htike Yee Tun, Nandar