Analysis of PCI accuracy in flexible pavements using night images processed in Matlab

Road safety is compromised by poor road conditions, which can trigger various types of accidents. It is essential to detect, and report affected areas to ensure the integrity and functionality of road infrastructure, facilitating fast and accurate actions. In this study, an innovative approach is adopted using night images processed with Matlab. In addition, histogram equalization is applied to improve the quality of the images, automatically adjusting the luminosity of the colors for a more accurate assessment of the faults. Experimental validation on a road in Chorrillos, Lima, demonstrates that the proposed model achieves an accuracy of over 97.2% in identifying damages, highlighting its performance in real conditions. This approach not only optimizes road maintenance, but also contributes significantly to the prevention and timely correction of situations that affect vehicular circulation.