Assessing Close Range Photogrammetric Approach to Evaluate Pavement Surface Condition

Abstract

The aim of this research is to adopt a close range photogrammetric approach to evaluate the pavement surface condition, and compare the results with visual measurements. This research is carried out on the road of Baghdad University campus in AL-Jaderiyiah for evaluating the scaling, surface texture for Portland cement concrete and rutting, surface texture for asphalt concrete pavement. Eighty five stereo images of pavement distresses were captured perpendicular to the surface using a DSLR camera. Photogrammetric process was carried out by using ERDAS IMAGINE V.8.4.  The results were modeled by using a relationship between the photogrammetric and visual techniques and selected the highest coefficient of determination (R²). The first technique is efficient in evaluating the rutting with (R²) range between (0.985-0.997), (R²) for the scaling range between(0.990–0.999),as compared to the visual evaluation. The macrotexture of the asphalt concrete with a high (R²) range between (0.982-0.999) and (R²) for the cement concrete pavement surface texture range between (0.980 - 0.998), as compared to the sand patch method.