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Optimizing Road Pavement Assessment Using Advanced Image Processing Techniques

Author

Listed:
  • Amir Shtayat

    (Department of City Planning and Design, Jordan University of Science and Technology, Irbid 22110, Jordan)

  • Mohammed T. Obaidat

    (Department of Civil Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan)

  • Bara’ Al-Mistarehi

    (Department of Civil Engineering, Jordan University of Science and Technology, Irbid 22110, Jordan)

  • Ahmad Bader

    (Communication and Computer Department, Faculty of Engineering, Jadara University, Irbid 21110, Jordan)

  • Sara Moridpour

    (School of Engineering, RMIT University, Melbourne 3001, Australia)

  • Saja Alahmad

    (Department of City Planning and Design, Jordan University of Science and Technology, Irbid 22110, Jordan)

Abstract

The swift advancement in monitoring and evaluation systems for road pavement conditions highlights the crucial role that this field plays in ensuring the sustainability of roads. This, in turn, contributes to the growth and prosperity of nations and enables users to enjoy the highest levels of luxury and comfort. Despite numerous studies and ongoing research, finding the most precise and efficient monitoring systems to determine the type and severity of road defects, their causes, and appropriate treatments remains a challenge. This study proposes a system that employs a camera to create an application capable of evaluating road conditions with ease by taking images while driving over the road. Based on the results, the application was accurate in identifying road defects of different severity within the same category. The proposed method was compared to the Pavement Condition Index (PCI) method, and a significant match was found in determining the type and severity of each defect on the selected road sections. More clearly, the overall accuracy of detecting and classifying block cracks, alligator cracks, longitudinal cracks, and potholes was significant for detecting and classifying the patches.

Suggested Citation

  • Amir Shtayat & Mohammed T. Obaidat & Bara’ Al-Mistarehi & Ahmad Bader & Sara Moridpour & Saja Alahmad, 2025. "Optimizing Road Pavement Assessment Using Advanced Image Processing Techniques," Sustainability, MDPI, vol. 17(6), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2473-:d:1610195
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    References listed on IDEAS

    as
    1. Shabir Hussain Khahro, 2022. "Defects in Flexible Pavements: A Relationship Assessment of the Defects of a Low-Cost Pavement Management System," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
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