Current students

Max (MSc) – Aircraft noise model validation using noise measurment feedback

One of the current factors limiting the growth of the aviation industry in the Netherlands is the relationship between the aviation sector and local communities around airports. Aircraft noise production is one of the main causes of nuisance in residential areas reported by RIVM. It is therefore, for the aviation industry as a whole, of great importance to gain a better understanding of the methodology of aircraft noise modelling and make improvements on this modelling process if deficiencies in the current model are detected. The validation of the aircraft noise model, using noise measurements taken around the airport, is crucial for the scientific foundation of the model. This scientific foundation is expected to increase the transparency in how noise calculations are performed, which increases community trust in the aviation industry as a whole.

 

Christophe Vakaet (MSc) – development of a Dynamic Taxi-time system

Ground control uses the Departure Sequence Planner (DSP) to optimally plan departures within the operational constraints. The DSP uses an estimated Variable Taxi Time (VTT) to calculate an aircraft’s Target Take-Off Time (TTOT). If the VTT is underestimated flights will not make the determined TTOT, while an overestimation requires the air traffic controller to tactically hold an aircraft. These consequences result in delays, capacity losses, additional workload, and uncertainty. This uncertainty inhibits further operational optimizations. The VTT is currently predicted based on the average taxi times for different gate-runway combinations, wake turbulence categories, deicing procedure, and simplified runway configuration. The goal of this project is to improve VTT predictions by employing machine learning techniques and additional data sources such as traffic density, weather, aircraft type, and more.

 

Robin Vervaat (MSc) – Priority-based flight scheduling in the tactical phase

Years of growth in air travel have meant that, as usage is nearing current capacity, delays are becoming virtually inevitable for air carriers operating in our airspace. Flight delays have a significant impact on airport and airline operations, as well as their cost. As such, tactical planning of the flights has become increasingly important, especially for a hub-operator with many connecting passengers. In collaboration with LVNL, KLM and Amsterdam Airport Schiphol, a novel model is being investigated tasked with the Arrival Sequencing and Scheduling of flights considering (airline) priority criteria. Smarter use is to be made of the available infrastructure in order to increase capacity and decrease delay (costs), however, fairness and equality between stakeholders will still need to be upheld.

 

Jeanette Derks (MSc) – Exploring Concepts for Coordinated Arrival- and Departure Management

The foreseen increase in air traffic movements in combination with eased separation minima between aircraft, redefined by the International Civil Aviation Organization (ICAO) in 2015, is expected to emphasize current runway dependencies at airports even further. As the number of aircraft in vicinity of an airport will increase, conflicting flight paths between arriving aircraft and departing aircraft will become a bigger safety hazard and will affect the efficiency and safety of both the arrival- and departure traffic flow. Airports that rely on dependent runways in their daily operation await serious (surface-) congestion problems if no coordination between arrival and departure management will be initiated soon. It is clear that systematic approaches are needed for the coordination between arrivals and departures. Therefore, this research aims to increase runway configuration capacity at airports that experience interference between arrival- and departure capacity due to the use of dependent arrival- and departure runways by developing and exploring multiple concepts for coordinated Arrival- and Departure Management.

 

Bart Bouwels (MSc) – Air Traffic Management Concept for Off-Idle Continuous Descent Operations at Schiphol

Due to the continued growth of the aviation industry, emission and noise production are at an all-time high. In order to reduce this, conventional approaches could be replaced by continuous descent approaches (CDA). These eliminate all level segments, greatly reducing the average thrust setting, resulting in large reductions in noise and emission production. The problem with almost all CDA procedures is that it makes it much more difficult to predict the future position of an aircraft since it flies its own optimal descent profile, with zero thrust. This results in a need for more separation, greatly reducing the airport capacity. This can largely be solved by using a fixed, constant descent angle for all aircraft. Assessing the robustness of such a concept for a high capacity airport is therefore an important stepping stone towards actual implementation.

 

Bas Timmer (BSc)Analysing inbound sources of information to improve the predictability and accuracy of the landing times

With the growing aviation industry in Europe, efficient use of the inbound capacity becomes even more important. One of the determining factors in capacity is the ability of accurately predict the landing time of aircraft. LVNL systems AAA and ASAP generate their inbound sequence planning based on Estimated Landing Times (ELDT) calculated from a variety of data sources. When CDM was implemented, business rules were put in place to prioritize certain data sources above another based on quality and accuracy. Nowadays, the quality and accuracy of these sources are thought to be different. Reviewing the current business rules is done by analyzing the quality and accuracy of the data sources, and how flight characteristics or procedures can influence the accuracy of the ELDT.