## 1 Introduction
### Paventions Condition Indicators  
In the airport infrastructure management, an important role is played not only by information about the current condition of the pavement, but also the ability to predict the condition of the pavement in the future. Iranian scientists in their work [5] presented attempts to develop an alternative method for determining the PCI (Pavement Condition Index), using optimization techniques based on artificial neural networks and a genetic  
Figure 1: Schematic pavement life time [7]. algorithm. The proposed approach may help in the future to reliably extrapolate the PCI index. The use of the PCI index in the estimation of Remaining Service Life (RSL) as a parameter defining the current and future condition of the airport pavement [10] may be an alternative approach. A similar approach was used in Indonesia to assess the condition of road surfaces. In the paper [11], the authors used the ANOVA method to predict RSL based on PCI. In Indianapolis, the PCI index is used as a tool to support the management of airport infrastructure. The Minimum Service Level (MSL) has been defined for individual categories of airport functional elements, which determines the time of taking corrective actions on a given element [12]. This has a significant impact not only on safety, but also on the costs incurred. [PERSON] et al. [13] have shown long ago that a properly selected assessment scale for PCI indicators determines the proper maintenance of the pavement and the related costs. Various methods of the PCI indicator determination can be found in the literature and operational practice. They are based mainly on the visual inspection of surface deteriorations. The standard method used in the world is the method using the PCI index, published in the American standards ASTM D5340 [14] and ASTM D6433 [15] described by [PERSON] [1]. This is a standard procedure developed and used by the US Army Corps of Engineers. Today, it is the most common test method among engineers, government agencies, and airfield pavement organizations. The PCI index is a dimensionless number from 0 to 100 describing the technical condition of the pavement, where 100 means the pavement is in perfect condition, and 0-the pavement is in a completely degraded condition, incapable of any exploitation. The PCI index is determined based on a visual inspection of pavement deteriorations. During the inspection, the type of deterioration, its number, harmfulness, and location on the selected pavement strip are taken into account. A detailed description of the PCI method is presented in monograph [16]. One of the most popular procedures derived from the PCI method is the PAVER procedure, used, e.g., by [PERSON] and [PERSON] [17], in order to assess the technical condition of 20 intersections in the Samsum region of Turkey. PAVER is an electronic system developed by the US Army Corps of Engineers, enabling the collection and processing of data obtained as a result of the pavement survey and its graphical representation on pavement diagrams. The Virginia Department of Transportation (VDOT) has developed the Distress Maintenance Rating (DMR), which manages pavements according to the \"worst first basis\". In accordance with this principle, pavement reconstruction schedules are created. The general approach to pavement assessment is based on the PCI method and the PAVER system, while VDOT has developed its own pavement condition indicators compatible with Virginia conditions [18,19]. The PCI method is based only on the visual assessment of the surface. Its main advantage is the speed of the pavement inspection, but it also has some disadvantages. The most serious of them is the inability to comprehensively assess the surface. For this reason, many researchers have undertaken to extend the method with additional parameters. An example of such a solution is the method proposed by [PERSON], [PERSON], [PERSON], and [PERSON] [20], which takes into account, apart from the visual assessment of the surface, the International Roughness Index (IRI) parameter.