# Complex Method of Airfield Pavement Condition Evaluation Based on APCI Index
## 1 Introduction
The results of their work are placed in reports [10,11] and paper [12]. The evaluation of the technical condition of the PCI method is based only on its visual assessment. This has an indisputable advantage, which is the speed of evaluation, but unfortunately it has disadvantages. One of the largest is to receive incomplete information on the real technical condition, which does not enable us to assess the condition in a comprehensive manner. Many scientists have improved the method with additional parameters. Such a solution was adopted by [PERSON], [PERSON], [PERSON] and [PERSON] [13]. Their method takes into account, in addition to the visual pavement surface assessment, also the International Roughness Index. This is a parameter describing the evenness of the surface, i.e., the properties of the surface determining the comfort of travel. In addition, the authors presented the correlation between the PCI and the International Roughness Index. At the same time, they developed a model to estimate the PCI based on the measured International Roughness Index. Similarly, scientists from Kazakhstan presented the proprietary method for the assessment of pavement condition [14]. In addition to the International Roughness Index, they also used the measurement of elastic deflections and included macroxes, ruts and cracks. They described the resulting pavement condition by the Pavement Condition Rating parameter, enabling the pavement evaluation in a functional context, which is the basis in making maintenance decisions. To manage the road network in the Indian city Noida, there is a developed road surface assessment method, which is based on the Overall Pavement Condition Index [15] and includes four indicators: Pavement Condition Distress Index, Pavement Condition Evenness Index, Pavement Condition Structural Capacity Index and Pavement Condition Skid Resistance Index. The method consists in determining indicators individually, and then based on them, Overall Pavement Condition Index is calculated. Some of the researchers calculate PCI from other pavement condition indices. One of the examples can be work conducted by [PERSON] et al. [16]. They prove that it is possible to link International Roughness Index with Pavement Condition Index. They use the Long-Term Pavement Performance database to make a regression model that links PCIwith International Roughness Index. The coefficient of determination was 0.995. Another work [17] presents the correlation between PCI, Structural Condition Index and Foreign Object Damage Index. By using the abovementioned indices, researchers try to predict the Remaining Service Life for Portland cement concrete and asphalt concrete pavements. Their study shows that the use of PCI, Structural Condition Index and Foreign Object Damage Index for planning of maintenance and rehabilitation at airfield pavements may not be fully replaced by each other. Nevertheless, such correlation exists. An important factor, due to the optimization of the time assessment of the pavement technical condition, is the automation of the process. An example is the study [18], in which the authors present a weighing approach to the PCI model. It is common in a traditional PCI method to determine the parameter you are looking for in a visual assessment, while the method of calculating is a bit different. Each damage enters the model with a suitable weight, and the entire process can be programmed. A similar approach presented [PERSON], [PERSON] and [PERSON] [19] and [PERSON], [PERSON], [PERSON] and [PERSON] [20]. In this case, in addition to the traditional record of damage to the assessment of the degradation degree, data obtained as a result of the inventory of the pavement repairs was used. Both the damage and the repair of the pavements enter the model with a characteristic weight for itself. Weights have been determined based on the harmfulness of a given damage or a given repair. The basis for the proper estimation of the PCI is to collect reliable and up-to-date data of the pavement condition.