Evaluation of the condition of flexible pavements using the PCI index and automated inspection techniques: study on a mountain road

Authors

  • Jan Ney De Los Santos Avellaneda Rodas Universidad Tecnológica del Perú UTP - (PE), Perú
  • Maria Ysabel Garcia Alvarez Universidad Tecnológica del Perú UTP - (PE), Perú

DOI:

https://doi.org/10.18687/LACCEI2026.1.1.2087

Keywords:

flexible pavement, laser scanning, PCI, IRI, road asset management.

Abstract

This paper evaluates the surface and functional condition of the flexible pavement on the Cutervo–Cochabamba subsection (Peru) using laser-based technologies, applying the Pavement Condition Index (PCI) and the International Roughness Index (IRI) in compliance with ASTM D6433-07 and E950 standards. The Laser Crack Measurement System (LCMS) was employed to automate distress detection and provide accurate longitudinal profile measurements. Results indicate that 85.1% of the pavement is in “Very Good” to “Excellent” condition. However, certain segments exhibited severe distresses, and some average IRI values exceeded 3.5 m/km, potentially compromising ride comfort and user safety. Consequently, a road maintenance plan is proposed, prioritizing interventions such as asphalt slurry sealing, crack sealing, and localized resurfacing, with an estimated investment of USD 1.84 million. This approach, grounded in non-destructive inspection technology and objective data, supports optimized pavement management, extends service life, and enhances road performance. It also offers a replicable methodology for high-altitude road infrastructure in similar contexts.

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Published

2026-07-27

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

LACCEI retains copyright of all published articles under the terms of its copyright transfer agreement. As the copyright holder, LACCEI distributes the articles to the public under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

How to Cite

Avellaneda Rodas, J. N. D. L. S., & Garcia Alvarez, M. Y. (2026). Evaluation of the condition of flexible pavements using the PCI index and automated inspection techniques: study on a mountain road. LACCEI, 1(14). https://doi.org/10.18687/LACCEI2026.1.1.2087

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