Abstract
An analysis of distress in flexible pavements for the urban street network at Riyadh city over 4 years is described. Pavement sections were categorized according to distress data, namely distress type, distress density, and distress severity as well as factors that can affect the behavior analysis such as traffic level, pavement condition, street class and time. From distress types found on the network, only the more common ones have been selected. Before proceeding to analyze the data, it was necessary to build a database to cover all possible classifications and to remove any irrelevant data. After building the required database, several statistical tests were implemented to ensure the reliability of the data collected. An analysis of normality and homogeneity was conducted to determine whether the distress density data was normally distributed or not. An analysis of variance was carried out to find the effect of different factors on distress density.