Alumni

Ashley Scheenloop (BSc)

Impact of the fleet mix on the outbound capacity at Schiphol Airport

With the future growth in amount of flight movements in the aviation sector, efficient use of the airport resources are getting more and more important. In 2019 it was seen that the declared runway capacity at Schiphol airport is not reached during the outbound peaks. Previous research showed that the aircraft type (Wake turbulence category) influences the runway capacity. With the use the A-CDM principle, the outbound phase at Schiphol airport is analysed. This way the time spent, between the time references (A-CDM Milestones), for each Wake turbulence category is analysed and compared. This will provide an insight on the behaviour of these aircraft types, and indicates a possible significant difference/bottleneck. Besides the active runway combinations are analysed during these outbound peaks.

Graduated: July 2020

Ashley Scheenloop (BSc)

Marc Out (BSc)

Reducing the fluctuations on the outbound planning at Amsterdam Airport Schiphol

At Amsterdam Airport Schiphol, the outbound planning is created by the Collaborative Pre-Departure Sequence Planner (CPDSP). Currently, this outbound planning is fluctuating because of frequent updates of the Target Off-Blocks Time (TOBT). Having a dynamical outbound planning could create in a loss of valuable outbound capacity and increasing the risks in regulated flights by EUROCONTROL. To reduce the occurrence of frequent TOBT updates, different business rules have been analyzed for the auto-TOBT update mechanism. This mechanism updates the Target Off-Blocks Time automatically once the inbound flight has an assigned landing runway until the moment the aircraft is in-blocks or the Main Ground Handler updated the TOBT manually. The analyzed business rules had different characteristics related to the frequency of TOBT updates and the accuracy of this target time. Those two main characteristics were required to analyze to be able to have an overview which business rule creates less updates but having the same quality as in the current situation.

Graduated: July 2020

Marc Out (BSc)

Matthijs Ottenhoff (MSc)

Wind and Trajectory Uncertainty in a 4D Trajectory Management Interface

With air traffic numbers increasing, a shift in the Air Traffic Management system towards 4D flight plans, where an aircraft trajectory is pre-planned in both time and space, is foreseen. When these pre-planned trajectories are subsequently executed, unforeseen airspace perturbations, such as weather, sequencing and changing airspace constraints, will inevitably require small changes in the trajectories to be made by the air traffic controller. This perturbation management control task will consist of ensuring a safe airspace while adhering to the strict time constraints imposed by the 4D flight plan. In collaboration with LVNL, a decision support interface was designed and evaluated with the aim of visualizing possible conflict resolutions in the 4D domain. A special focus was put on the integration of wind and trajectory uncertainty information into the interface.

Graduated: March 2020

 

Matthijs Ottenhoff (MSc)

Eline Bakker (MSc)

Design and Evaluation of a Visual Interface for an En-Route Air Traffic Control Merging Task

In the past decades, the air traffic growth has resulted in increasingly complex situations involving more aircraft simultaneously. In order to guarantee safety is maintained within the increasingly crowded airspace, new solutions are expected. In collaboration with the LVNL, an Inbound Traffic Support System interface was developed. The goal of the interface is to visualize the possible solutions of an area controller’s task of merging aircraft towards a restricted waypoint in the current work domain, such that the impact of decisions made can be foreseen.  By showing the affordances of the work domain, the display keeps the air traffic controller as the active decision maker rather than issuing advisories.

Graduated: October 2019 

Eline Bakker (MSc)

Femke Mollema (BSc)

Creating more capacity at Amsterdam Airport Schiphol by reducing planning inefficiencies amongst KLM, LVNL and AAS

As of today, the aviation parties at Amsterdam Airport Schiphol are connected to the European network managed by Eurocontrol NMOC (Network Manager Operation Centre) through its local Airport CDM (Collaborative Decision Making) process. Within the Dutch aviation industry, many stakeholders are involved in the air traffic process, of which three of the main stakeholders are KLM, AAS and the LVNL. Each stakeholder can influence a certain part of the air traffic process, for which they create their own planning. Other parts of the air traffic process, over which a stakeholder has no control, are influenced, and planned on, by the remaining stakeholders. Since the air traffic process is a continuous cycle all stakeholders involved carry dependencies on one another, which also influences the planning each stakeholder makes. To succeed both the overall air traffic process and thus the stakeholders’ individual process, a collaboration among stakeholders is required. The goal of this research is to determine which planning inefficiencies may arise as a result of the different points of interests of the stakeholders within the Dutch aviation sector. By determining these inefficiencies, it can be researched how these can be eliminated, which could eventually benefit the capacity problem. For the purpose of this research the focus will primarily be on KLM flights.

Graduated: August 2019

Femke Mollema (BSc)

Sybren Kuiper (BSc) 

Evaluation of plan stability deviations in the flow at Schiphol airport

Over the last years Schiphol has experienced a growth in aircraft movements and exchange of narrow body aircraft for wide body aircraft. The infrastructure has been unable to change at the same pace increasing the pressure on the ground operations capacity and forcing the growth into the off-peaks moments where free infrastructural capacity was available. By growing in the off peaks a new challenge arose. The unused capacity was of essential value in the system plan stability. It offered flexibility that could be used to recuperate from planning deviations. The situation created, can cause a deviation from the plan to trigger a domino through the day that cannot be halted because there is no recuperation space. To stop this effect, it is essential to perform research into the current situation of the plan stability, and the exact causes that start or continue the domino effect. To do this the research will answer the following research question: “What are the opportunities for Amsterdam Airport Schiphol and the other KDC stakeholders to improve the airside ground operational plan stability of the airport?”

Graduated: August 2019

Sybren Kuiper (BSc) 

Kyara Metz (BSc) 

Evaluation of peak hour capacity at Schiphol and similar airports to determine common capacity management practices

According to EUROCONTROL, Schiphol has the most significant contribution on global ATFM airport delays of all the European Airports; weather and airport capacity were targeted as primary cause of delays. Therefore, this research investigates the potential uses of holding buffers of inbound flows at Amsterdam Schiphol Airport (AAS) during peak hour of operations to absorb delays; special attention is placed on analysing the current methods employed by Schiphol and other Airports uses holding buffer not as a reactive resource for ATCs but a everyday use tool to maximize throughput on runway.

Both quantitative and qualitative research has been used to investigate which operational possibilities LVNL has to buffer inbound traffic in the Dutch airspace and to what extent these buffers can be used in managing the operational inbound peak capacity. To determine the current linear buffer capacity, 20,000 flights from July 2018 were analysed.

Graduated: August 2019

Kyara Metz (BSc) 

Davey Hooijmeijer (MSc)

Schiphol noise analysis for fixed arrival routings 

In this thesis research, dutch aircraft noise model (NRM) calculations are compared to measurements to analyse the aircraft classification used in the model. To do so, a new implementation of the model has been set up to calculate with LVNL trackdata and NOMOS measurement data. First, the classification approach is analysed as prescribed, which shows clustering of aircraft types when compared to measurements. After, the theoretical input data as prescribed for the model is assessed and replaced by real data for each type specific. This leads to improvements of the model calculations when compared to measurements and shows that aircraft-specific flight-information would improve the model significantly. Concluding, it is shown that aircraft noise models strongly rely on the quality of the input data. Current input data shows certain mismatches with respect to reality, resulting in differences between calculations and measurements. However, the calculations can give valuable insights in the effect of operations on the overall noise exposure.

Graduated: July 2019

Davey Hooijmeijer (MSc)

D-1 process impact evaluation

Flore Wassenberg (BSc)

In 2018, it was started as part of the development of the capacity management function was the D-1 project. The D-1 project intends to provide an operational and capacity plan before the day of operation. Within the D-1 project team there is a need to validate the quality of the predicted traffic demand, because the prediction generated was not quantitatively evaluated afterward. To explore the reliability and usability of the traffic demand prediction at D-1, a bachelor thesis research has been performed. This research has been done by means of comparing the D-1 traffic demand prediction with the demand on the day of operation. The last submitted flight plans at D0 have been compared to the data predicted on D-1. The sample used contains data that was generated during a period of three months of the D-1 project trial. The research concludes that the traffic demand prediction is for parts not accurate enough to support the D-1 decision making process.

Graduated: July 2019

D-1 process impact evaluation

Anouk Hollebeek (BSc)

Evaluation of AMAN implementation to establish improvements in the arrival efficiency

A new Arrival Management system, called Advanced Schiphol Arrival Planner (ASAP), was implemented in 2018 to regulate the arrival traffic flows at Amsterdam Schiphol Airport (AAS). ASAP aims to be an assisting support tool for the Approach Planner (APLN)  to monitor and safety merge inbound traffic flows in the Dutch Terminal Control Area (TMA). To validate the implementation of ASAP diverse analysis have been run. This work describes some recent insights and findings regarding the performance and interaction between users (ATCs) and ASAP. Particular attention is placed to establish the moment and type of interaction between the different users. The performance of the tool was evaluated using four main performance indicators; Expected Approach Time (EAT) adherence, slot adherence, holding ratio, influence of APLN.

Graduated: July 2019

Anouk Hollebeek (BSc)