Abstract
Runways are exposed to significant burdens and other external factors that cause their deformation. Monitoring runway deformities and determining the resulting damage is a complicated procedure which requires a rapid and accurate assessment of these deformities and evaluation of the damage they cause. In this study, an optimized process to determine this damage based on geodetic measurements was developed. A novelty of our research is a prototype model for the maintenance of smaller airport runways with an emphasis on damage detection. The model is also intended for sustainable development, as it is open source in which we can enter various data. A model and algorithm that enables tabulation and graphical display of surface anomalies were developed for the detailed analysis of the collected data. This model allows monitoring of runway deformities to determine the resulting damage, thus facilitating timely planning of necessary maintenance. As a result, unexpected runway closures and related high costs can be prevented. In this study, we also compared the obtained results with those obtained using the open-source program Quantum GIS (QGIS) to confirm the accuracy and applicability of the algorithm.
Highlights
Airports are complex structures with highly demanding management
Since we focused on smaller airports which are intended especially for light and ultra-light aircraft, such runway damages can be very inconvenient
All other aspects like social, is in the term of air logistics directly connected with the social aspect, environmental, and economic aspects are taking into consideration
Summary
Air traffic is only effective when it provides fast and safe transport of people and goods This is achieved through the provision of highly efficient airport services, and modern and well-maintained airport infrastructure. Sustainable airport management requires a large amount of data about the structure and condition of airport facilities, airport operations, and the airport’s surroundings. This data must be up-to-date, accurate, and always available to management staff. Data can be obtained and processed using automatized procedures that are part of existing or developing information systems The demands for such systems—namely, that they are up-to-date, accurate, and always available—encourages system development to enable automatized acquisition in real-time [1,2,3]
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