Calculo del indice de condicion de pavimento (PCI) en una via de pavimento flexible por el metodo tradicional y teledeteccion

Abstract

The thesis analyzes the Pavement Condition Index (PCI) on the Sinincay-Racar road, which has flexible pavement with a length of 3930 meters. Two approaches were employed: the traditional evaluation through visual inspections and the remote sensing evaluation using drones. Both methods are used to identify the pathologies and severities of the road's defects. The comparison between the approaches reveals that remote sensing is safer, more efficient, and more accurate, reducing risks for technical personnel and improving road maintenance management.