Edzer Oosterhof (MSc) – Analysis and Optimization of Air Traffic Bunching for the Area Control Center
With the current growth in air traffic and the resulting developments in terms of environmental issues and noise abatement, the pressure on the Area Control Center (ACC) is growing. On the one hand the Terminal Control Area (TMA) requires arriving traffic to be handed over accurately sequenced and merged, and on the other hand the ACC tries to minimize the miles flown in its sector. At the tactical level, there are Air Traffic Flow Management (ATFM) measures in place for traffic within Europe. However, no such tactical measures exist for traffic from the North Atlantic Tracks, increasing the probability that bunching occurs in the ACC during peak loads. By tactically predicting bunching in the sector and at the Initial Approach Fixes, a concept for debunching should be devised that focusses on airborne delay consumption and sequencing of traffic in the Upper control Areas (UTA) before it enters the Control Area (ACC), decreasing the pressure on the ACC.
Rebekka van der Grift (MSc) – Using NOMOS measurements to improve aircraft noise models
The impact of the aircraft industry on the environment becomes more evident every day. Especially for local communities around the airport, the noise nuisance is an important factor which puts a strain on the capacity of Schiphol mainport. This capacity is based on the noise levels around airports, which are calculated with noise models based on key input parameters. The accuracy of these models is thus of great importance for the Schiphol mainport and the local communities. This research aims to develop a dynamic noise model based on real world aircraft noise measurements taken by NOMOS. The measurements will be used to calibrate certain input parameters to minimise any differences between model and measurements. This method helps to keep the model up to date and validated. Using measurements instead of standard input parameters is expected to increase the accuracy of the model, but also increase the trust of local communities in noise modelling.
Max Aalberse (MSc) – Optimizing the distribution of aircraft over the IAF
Around Schiphol and many other airports the amount of movements allowed is constrained due to the considerable noise pollution from aircraft. For a large part the noise pollution is created by arriving aircraft that are in between the IAF and the RWY. During this period the aircraft are in so called transition. These transition routes are usually already optimized to reduce the noise disturbance to surrounding residents, but due to the positioning of the runways this is not always possible. A different distribution of the aircraft over the IAF could result in less noise disturbance for surrounding residents, but would also increase flight times and fuel usage and therefore an increase in other emissions such as CO2. The goal of this research is to create a parameterized model that optimally distributes the aircraft over the IAF based on a quantitative trade-off between noise disturbance and CO2 emissions. Resulting in a model that is potentially able to reduce noise disturbance around airports while keeping the increase in environmental impact at a minimum.
Stephanie Wiechers (MSc) – Visual Interface to Support Improved EAT Adherence at IAF when Holding
As Schiphol is one of the busiest airport in the world, with tight flight schedules and urban areas that lie under arrival routes, adherence to the time planning is very important. When extreme weather conditions cause delays over the entire arriving fleet, holding stacks are installed at the three Initial Approach Fixes (IAFs) around Schiphol. In the current operational environment, little support is offered to the holding stack controller (ACC) to gain an overview of the effects of speed and wind on the turn times and difference between inbound and outbound leg velocity. With increased support, the controller will be able to make decisions based on representative information and with that, deliver inbound aircraft to Approach (APP). The (expected) resulting increased EAT adherence should lead to more orderly traffic in the TMA, improving capacity and workload.
Stijn van Selling (MSc) – Improving aircraft position accuracy in order to support time-based separation.
Aviation as a whole is expected to grow, therefore adjustments to the current air traffic management system will need to be made. Part of these adjustments is the switch from distance-based separation to time-based separation. This will allow the airport capacity to increase when strong headwinds are present on the active runways. An increase in runway capacity will also result in less holding time required as more aircraft can land in the same amount of time, hence saving fuel and thus making for a more environment friendly operation. In order to facilitate time-based separation, the air traffic controller will need assistance in terms of display support tools as time-based separation is not easily visualised on a 2D map. These display support tools will require accurate future aircraft position prediction software. Therefore, this research aims to make these future position predictions as accurate as possible.
Daan Snijders (MSc) – Effects on departure capacity of TOBT uncertainty.
The assertion and updating of the Target Off-Block Time, also known as TOBT, during the handling process of aircraft affects the capacity of an airport where airport collaborative decision making (A-CDM) is used, such as at Schiphol. The research question concerns an analysis that shows the effect of both how different parties deal with the TOBT proposition and updating and the influence of information sharing on Schiphol’s supply. The assignment includes a data analysis and the challenge of creating a model to show the effect on the supply of Schiphol.