Modelo de predicción de la condición de pavimento en base al PCI, tiempo y volumen de tráfico en una vía de pavimento rígido. Caso de estudio Red Vial E50 tramo Loja-Zamora abscisas 29+000 a 57+000.

Abstract

In the project, the Pavement Prediction Model is determined based on the PCI, time and volume of traffic on a rigid pavement road. Case study Red Vial E50 section Loja-Zamora abscissas 29 + 000 to 57 + 000; For this purpose, the rolling surface of the section of track that is analyzed is evaluated, georeferencing each one of the damages of this one through a visual inspection to determine the index of the average PCI pavement condition for the year 2017, additionally using the Metrocount MC 5600 pneumatic device vehicle counts were made for said route during a determined period of time; with this information the average annual traffic 2017 was calculated. Using the average PCI and TPDA variables calculated for the year 2017, as well as those collected for the historical years 2010 and 2015, a comparative analysis was carried out and the functions that govern the pavement condition prediction model were determined for the time - Average PCI as well as average TPDA and PCI of the years evaluated