In order to implement a Pavement Management System (SGP) satisfactorily, a good calculation of Pavement Condition Index (PCI) is necessary to maintain the quality of pavement surfaces. Regarding the calculation of such index, there are several methods, considering different defects, with different weights. Therefore, the purpose of this research is to calculate the Urban Pavement Condition Index (ICPU) of pavements in Batista Campos neighborhood, by using five different calculation
methods and comparing their results. Data collection was carried out in Batista Campos neighborhood, in 142 places. Calculation has been carried out by using five different methods (Osório (2014), Páez (2015), Souza (2021), Aihuki (2022) and Albuquerque (2022)). Comparisons were made with statistical parameters of media, median, mode, standard deviation and coefficient of variation, besides the comparison among types of defects evaluated by each method and the trend of results. Among the main results, from the five ICPU's calculated, ICPUOso represented the highest index. The lowest was ICPUSouza, which is also the index which presented the highest coefficient of variation. It better segments the stretches evaluated for the quality of the observed pavement, since the lowest coefficient of variation was obtained by ICPUPáez. In addition, it was observed that the most frequent defects evaluated by the applied
methods were fatigue cracking, patching, pothole and rutting. The less frequent defects were cracks on the edges, cracks due to reflection and exudation. Finally, it was concluded that ICPUSouza obtained the highest coefficient of variation and managed to segregate the best and worst sections of the road network under analysis. It also requires a survey with fewer defects than that stipulated by the standard method implemented by the SHRP, analyzing only 10 defects and guaranteeing a satisfactory result.
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