Road markings channel traffic flows and guide road users visually, especially at night. Their quality and reliability are, therefore, important issues which must be closely followed to ensure the safety of road users and especially their perceptibility for the future autonomous cars. Thus, previous study has shown that it is possible to segment markings of the center line into maintenance strategic areas. However, this study didn't take into account all the characteristics of road infrastructures that could have an impact on the degradation of markings. Indeed, depending on the structure and complexity of all road infrastructures, these road markings could present a different degradation process over the time and in specific areas. So, the identification of these areas can help road managers to develop localized maintenance strategies. In this study, a Factor Analysis of Mixed Data (FAMD) combined with an Agglomerative Hierarchical Clustering (AHC) is proposed as the method to identify these areas or clusters in the case of the French National Road 4 (NR4).