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<p>Ideal road networks play an important role in achieving sustainability, and comfort, and providing a solid base for road users. It is considered the basic element for the stability and prosperity of countries. Maintaining the efficiency of infrastructure, especially road networks, is considered the greatest challenge for governments and transit agencies due to the importance of continuing traffic movement and smooth local and international transportation. Therefore, there is a need for a comprehensive management system to monitor, control, and evaluate the condition of roads and pavements. The pavement management system focuses on frequent and routine monitoring of the pavement conditions and the use of modern techniques to evaluate the pavement performance and determine the type and severity of pavement defects in order to apply appropriate maintenance actions to ensure the continuity of the service provided in the use of roads. Many monitoring techniques have been used to assess the pavement condition performance and identify the quality and quantity of pavement degradation such as spatial analysis techniques. This paper provides a systematic review of the use of spatial analysis for evaluating, predicting, and maintaining road conditions within the GIS framework and a road digital twin. Two techniques were used in the study of spatial analysis, including analysis utilizing a geographic information system (GIS) and analysis using digital twins (DT). Past studies have indicated the efficiency of both methods in analyzing, evaluating, and predicting the condition of pavement degradation even after using different techniques in data collection. It was demonstrated that using spatial analysis through DT is more accurate in determining and building prediction models for road pavement condition pavement conditions compared to the use of GIS in road pavements, which was also accurate and expressive of the condition of the pavements in the study areas. Also, the findings demonstrated a significant impact of using twinning techniques in measuring the quantity and quality of road surface defects compared to conventional methods and typical spatial analysis.</p>

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Application of spatial analysis using GIS and digital twins techniques in pavement management: a review

  • 期刊论文

  • 发表日期：

    2025年6月19日

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  • Bara’ Al-Mistarehi,
  • Amir Shtayat,
  • Sara Moridpour,
  • Hasan Maabreh,
  • Maad M. Mijwil,
  • Rana M. Imam,
  • Aslam Al-Omari

摘要

Ideal road networks play an important role in achieving sustainability, and comfort, and providing a solid base for road users. It is considered the basic element for the stability and prosperity of countries. Maintaining the efficiency of infrastructure, especially road networks, is considered the greatest challenge for governments and transit agencies due to the importance of continuing traffic movement and smooth local and international transportation. Therefore, there is a need for a comprehensive management system to monitor, control, and evaluate the condition of roads and pavements. The pavement management system focuses on frequent and routine monitoring of the pavement conditions and the use of modern techniques to evaluate the pavement performance and determine the type and severity of pavement defects in order to apply appropriate maintenance actions to ensure the continuity of the service provided in the use of roads. Many monitoring techniques have been used to assess the pavement condition performance and identify the quality and quantity of pavement degradation such as spatial analysis techniques. This paper provides a systematic review of the use of spatial analysis for evaluating, predicting, and maintaining road conditions within the GIS framework and a road digital twin. Two techniques were used in the study of spatial analysis, including analysis utilizing a geographic information system (GIS) and analysis using digital twins (DT). Past studies have indicated the efficiency of both methods in analyzing, evaluating, and predicting the condition of pavement degradation even after using different techniques in data collection. It was demonstrated that using spatial analysis through DT is more accurate in determining and building prediction models for road pavement condition pavement conditions compared to the use of GIS in road pavements, which was also accurate and expressive of the condition of the pavements in the study areas. Also, the findings demonstrated a significant impact of using twinning techniques in measuring the quantity and quality of road surface defects compared to conventional methods and typical spatial analysis.