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Quality input data is essential for airport and aircraft ground process simulations. Depending on the simulation approach, the data is subject to different levels of accuracy and levels of detail. While macroscopic simulations work fine with average passenger numbers only, microscopic simulations require accurate and detailed data. The need of such data sets for the analysis of innovative process adjustments was identified during a research project by the authors as well as the lack of such information in public sources. Therefore the core part of this paper is a simplified approach for structuring and gathering the needed information for detailed process step simulations.
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