Gemelos digitales para la supervisión y el mantenimiento de infraestructuras viales: Revisión sistemática
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Abstract
Los Gemelos Digitales (DT) emergen como una solución tecnológica prometedora para la gestión eficiente y el mantenimiento proactivo de la infraestructura vial. El objetivo del estudio es analizar la literatura científica sobre la aplicación de Gemelos Digitales para el monitoreo y mantenimiento de la infraestructura vial. El enfoque del estudio es cualitativo, bajo una revisión sistemática orientada en la metodología PRISMA. Las bases de datos utilizadas Scopus, Web of Science y Google Scholar. Se analizan 21 estudios publicados del periodo 2020 hasta 2025. Los hallazgos indican un uso predominante de BIM, IoT e Inteligencia Artificial para el monitoreo de condición y detección de daños. Aunque se reportan beneficios en eficiencia y precisión, persisten desafíos en interoperabilidad de datos, costos de implementación y estandarización. Se concluye que, si bien los DT poseen un gran potencial transformador, se requiere mayor investigación en validaciones a gran escala y desarrollo de soluciones estandarizadas para su adopción generalizada.
Digital Twins (DTs) are emerging as a promising technological solution for the efficient management and proactive maintenance of road infrastructure. The objective of this study is to analyze the scientific literature on the application of Digital Twins for road infrastructure monitoring and maintenance. The study's approach is qualitative, based on a systematic review guided by the PRISMA methodology. The databases used are Scopus, Web of Science, and Google Scholar. Twenty-one published studies from 2020 to 2025 are analyzed. The findings indicate a predominant use of BIM, IoT, and Artificial Intelligence for condition monitoring and damage detection. Although benefits in efficiency and accuracy are reported, challenges persist in data interoperability, implementation costs, and standardization. It is concluded that, while DTs have great transformative potential, further research is required in large-scale validations and the development of standardized solutions for their widespread adoption.
Digital Twins (DTs) are emerging as a promising technological solution for the efficient management and proactive maintenance of road infrastructure. The objective of this study is to analyze the scientific literature on the application of Digital Twins for road infrastructure monitoring and maintenance. The study's approach is qualitative, based on a systematic review guided by the PRISMA methodology. The databases used are Scopus, Web of Science, and Google Scholar. Twenty-one published studies from 2020 to 2025 are analyzed. The findings indicate a predominant use of BIM, IoT, and Artificial Intelligence for condition monitoring and damage detection. Although benefits in efficiency and accuracy are reported, challenges persist in data interoperability, implementation costs, and standardization. It is concluded that, while DTs have great transformative potential, further research is required in large-scale validations and the development of standardized solutions for their widespread adoption.
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Vol. 5, No. 11