Predicting Pavement Condition Index Using Fuzzy Logic Technique

Ali, Abdualmtalab; Heneash, Usama; Hussein, Amgad; Eskebi, Mohamed

doi:10.3390/infrastructures7070091

Cited by 17 publications

(10 citation statements)

References 22 publications

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“…The pavement sections were evaluated using a PCI rating system. PCI rating is widely used in transportation and civil engineering to evaluate pavement conditions [12,35]. The PCI rating system in Egypt is approved by the Ministry of Transport and is considered the main system for rating flexible pavements [36].…”

Section: Pci Surveymentioning

confidence: 99%

Enhancing Pavement Sustainability: Prediction of the Pavement Condition Index in Arid Urban Climates Using the International Roughness Index

Radwan,

Mousa,

Zahran

2024

Sustainability

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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 the New Beni-Suef region, Egypt. For this purpose, a total of 44 km of urban roads was divided into homogenous sections. A visual distress survey was conducted to measure PCI considering typical distress patterns. The IRI values for the same sections were measured using an ultrasonic distance sensor mounted on an automobile. An exponential model was proposed to capture the relationship between IRI and PCI. With a coefficient of determination of 0.82, the exponential model seems to outperform reported IRI-PCI correlations. Model validation, along with a comparison to the existing models, supports its applicability to a wide range of roads. The proposed model provides a cost-effective means for accurately predicting PCI based on IRI, which is particularly useful for pavement maintenance management programs on limited budgets.

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Section: Pci Surveymentioning

confidence: 99%

Enhancing Pavement Sustainability: Prediction of the Pavement Condition Index in Arid Urban Climates Using the International Roughness Index

Radwan,

Mousa,

Zahran

2024

Sustainability

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“…The purpose of defuzzification is to convert the results of the inference machine expressed as fuzzy sets into crisp values. The actions taken from fuzzy logic control are the result of conversion at this stage [109]. This stage can be completed using several methods, such as centroid method, mean-max method, weighted average method, and center-of-gravity (COG) method [110], [111].…”

Section: Fuzzy Logicmentioning

confidence: 99%

Temperature and Humidity Control System with Air Conditioner Based on Fuzzy Logic and Internet of Things

Furizal,

Sunardi,

Yudhana

2023

Journal of Robotics and Control

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Work is an activity that takes most of the day to earn a living and improve the standard of living. During work, many people have to work indoors, which can be a less comfortable and unhealthy place if the temperature and humidity are not well controlled. Unsuitable temperature and humidity conditions can negatively affect the health and comfort of workers, as well as interfere with productivity and work quality. However, the problem that often arises is the difficulty of controlling room temperature and humidity effectively, especially in rooms that are closed and do not get air circulation from outside. Therefore, an effective solution is needed to control the temperature and humidity of the room automatically and remotely via the internet. The contribution of this research is to develop an effective and efficient AC control system in controlling room temperature and humidity using Tsukamoto's Fuzzy Inference System (FIS) method and the Internet of Things (IoT). Tsukamoto's FIS is used to produce AC temperature values in room temperature and humidity control as measured by the DHT22 sensor directly integrated with the ESP32 microcontroller. This control system is monitored remotely using IoT concepts through a mobile application interface. The results of this study show that room temperature can be controlled under normal conditions, with an average change of -1.67°C and an overall average temperature of 25.95°C. While the average humidity is at a value of 80.16% which is included in the Wet set. This suggests that humidity cannot be controlled under normal conditions, so it still requires further development. In addition, it is also necessary to further investigate the effectiveness of the tool in various sizes and more complex layouts of rooms.

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“…Its maintenance priority levels were PR1 reconstruction; PR2 and PR3 rehabilitation. Ali et al (2022) utilized ASTM D6433-18 to assess the pavement condition index. The PCI rating utilizes a scale of seven different classifications (excellent, very good, good...…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Existing Pavement Distresses Utilizing ArcMap-GIS: The Case of Nablus City

Issa¹,

Qanazi²,

Natsheh³

et al. 2023

JJCE

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This paper aimed at utilizing GIS software in calculating pavement condition index )PCI( values, using four different interpolation methods: IDW, spline, trend and kriging. The case study covers four major streets in Nablus city with a total length of about 6.50 km. The PCI values were calculated using the ASTM conventional method. The four streets were divided into equal 100- meter sections. The PCI values were also calculated for each point of defect in both directions of the streets. The results of the four methods (point by point of defects) were compared manually with the conventional method (ASTM procedure). The results showed that the spline method had a strong correlation with the conventional method in terms of multiple R and R-square calculation (multiple R for left 0.918, right 0.947 and R2 for left 0.843, right 0.897). This method also fitted the data better than the other methods, as seen from the linear regression model results, in addition to producing the minimum error value. The results indicated that by identifying the PCI value, it would be possible to select the proper pavement maintenance and corresponding cost for each point of defect. This in turn would help in prioritizing pavement sections. KEYWORDS: Pavement condition index (PCI), GIS, Interpolation, Distress, Maintenance, Spline.

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Predicting Pavement Condition Index Using Fuzzy Logic Technique

Cited by 17 publications

References 22 publications

Enhancing Pavement Sustainability: Prediction of the Pavement Condition Index in Arid Urban Climates Using the International Roughness Index

Enhancing Pavement Sustainability: Prediction of the Pavement Condition Index in Arid Urban Climates Using the International Roughness Index

Temperature and Humidity Control System with Air Conditioner Based on Fuzzy Logic and Internet of Things

Assessment of Existing Pavement Distresses Utilizing ArcMap-GIS: The Case of Nablus City

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