## 1 Introduction
### Paventions Condition Indicators
This parameter refers to the evenness of the surface, i.e., the properties of the surface describing the comfort of travel. Moreover, the authors presented the relationship between the IRI parameter and the PCI index, and developed a model for estimating the PCI index based on the measured IRI parameter. Scientists from Kazakhstan [21] showed their own method of assessing the pavement condition, and in addition to the IRI index, they also used the measurement of elastic deflections. In addition, they took into account macro unevenesses, ruts, and cracks. Pavement Condition Rating (PCR) was proposed as a parameter describing the condition of the pavement. On its basis, the pavement is assessed in the functional context and it is the basis for making maintenance decisions. In India [22], a method of road pavement assessment based on the Overall Pavement Condition Index (OPCI) was developed for the management of the road network of the Noida city. The OPCI model includes four indicators: Pavement Condition Distress Index, Pavement Condition Roughness Index, Pavement Condition Structural Capacity Index, and Pavement Condition Skid Resistance Index. Each of the indicators is calculated individually, and then the OPCI is calculated based on the above indicators. Some of the proposed procedures for assessing pavement according to the PCI index slightly automate the whole process. An example is [23], where the authors developed a weight-based approach to the PCI model. The method is based on a visual inspection of the pavement, as is the case in the traditional PCI method, while the method of determining the final index is slightly different. Each deterioration enters the model with an appropriate weight, and the entire process can be programmed. A similar approach was presented by [PERSON], [PERSON], and [PERSON] [24] and [PERSON], [PERSON], [PERSON], and [PERSON] [25]. To assess the degree of degradation, the researchers used data obtained as a result of pavement's deteriorations and repairs inspection. Both deteriorations and repairs enter the model with a characteristic weight. The weights were established based on the harmfulness of a given deterioration or repair. The basis for the correct assessment of the PCI index is the collection of reliable and up-to-date data on the condition of the pavement. Visual inspection is made by experts, and thus there is a human factor that can significantly affect the final result of the analysis. In order to ensure quality at the appropriate level, guides have been developed that detail how to conduct inspections and how to handle the collected data. Such a document was developed, among others for the Federal Highway Administration [4] and the Indiana Department of Transportation [12]. Italians [26] additionally proposed their own version of the deteriorations catalogue presented in ASTM D6433 [15], thus adapting it to the needs and morphology of road surfaces in Italian cities. Two types of deteriorations have been added (pits and tree roots) and a new curve of deduction as a function of deteriorations density has been added. In addition, the entire data processing cycle has been largely automated by implementing the application in the Visual Basic environment. In order to eliminate the human factor from the data collection process, the goal is to fully automate it. In the article [3] the authors give the ARAN system as one of the examples, which enables automatic road analysis. The system is based on the data on pavement deteriorations obtained during the measurement. The data is collected in the form of photos of the pavement made with cameras and a three-dimensional image of the pavement obtained as a result of three-dimensional scanning. Unfortunately, the automatically obtained data are then processed manually by humans, which still affects the quality of information about the actual technical condition of the assessed pavement. ARAN was also used to collect distress data to find potential relations with pavement roughness and pavement condition [27].