Analysis of punctuality of airport arrivals, as well as identification of causes of the delays within transition airspace, is an important step in evaluating performance of the Terminal Maneuvering Area (TMA) Air Navigation Services: without knowing the current performance levels, it is difficult to identify which areas could be improved. Deviations from the flight plans is one of the major reasons for arrival delays. In this work, we quantified the impact of the deviations from the flight plans on the fuel burn. One of the main reasons of fuel waste is nonoptimal vertical profiles during the descent phase. We calculated how much extra fuel is wasted due to vertical flight inefficiency within Stockholm TMA.

Analysis of punctuality of airport arrivals, as well as identification of causes of the delays within transition airspace, is an important step in evaluating performance of the Terminal Maneuvering Area (TMA) Air Navigation Services. In this work we analyse how different weather events influence arrival punctuality and vertical flight efficiency on example of Stockholm Arlanda airport. We quantify the impact of the deviations from the flight plans influenced by different weather events, by demonstrating that they result in significant arrival delays, vertical inefficiencies and calculating how much extra fuel is wasted due to vertical flight inefficiency within Stockholm TMA.

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With the development of aircraft equipment, conventional navigation shifted towards performance-based navigation (PBN) procedures, which significantly improved the efficiency of airport arrivals. Availability of the open-access Automatic Dependent Surveillance-Broadcast (ADS-B) data enables research targeting careful and detailed analysis of the arrival performance. In this work, we demonstrate how we use historical data provided via Opensky Network to investigate various aspects of arrival performance at three European airports implementing different sequencing and merging techniques (Dublin, Stockholm-Arlanda, and Vienna). We create a number of datasets of different size and features, and apply a set of performance metrics characterizing horizontal and vertical efficiency, sequencing and metering effort, as well as environmental efficiency at the chosen airports.

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