Current students

Reem Alhasan (MSc) Airport Operations Center

At present, the primary stakeholders of the Knowledge and Development Centre (KDC),  who are Royal Schiphol Group (RSG), The Royal Dutch Airlines (KLM), and the Air Traffic Control the Netherlands (LVNL), individually prepare for the upcoming day’s operations. They rely on their respective sources of information for this process.

It’s evident that the lack of effective communication and not sharing information creates barriers to the airport’s efficient and safe operation. Current research aims to determine the pertinent and current information from partner organizations that is presently being utilized, as well as what needs to be shared. This is aimed to enhance the operational planning process for all stakeholders involved, with the aim of providing Schiphol APOC with a well-defined framework for data usage and management and improving the accuracy of traffic predictions and minimizing delays.  “

 

Wester Kuijpers (MSc)Operational requirements Tactical Demand Tailoring

The goal of this project is to investigate and analyze the operational challenges and requirements associated with the implementation of Tactical Demand Tailoring (TDT) in the European aviation industry. TDT is a concept that involves planned inflight re-routing to optimize air traffic flow, enhance efficiency, and respond to changing conditions. The assignment aims to investigate various aspects related to TDT, including its feasibility, the parties involved, legislative considerations, and the necessary information and communication systems.”

 

 

 

Thomas Konijnenberg (MSc) Inventory on System Wide Information Management (SWIM) to improve Flight Dispatch

The concept of SWIM, System wide information Management is a system that covers a complete change in how information is managed along its full cycle across the whole European ATM system. SWIM is expected to be an important driver for the new updated standards, information and working methods. KLM flight dispatch is 24/7 operation to ensure KLM has a safe and efficient fleet operation. Flight dispatchers prepare the whole flight and with that ensures the crew has all the required information at all time. It has been recognized that global interoperability and standardization are essential to improve the aviation business. SWIM is a system that can contribute to the interoperability of flight dispatch and for this reason the research will be to investigate if there is any available information/data on SWIM that can improve the flight dispatch operation where possible.

 

 

Winand Mathoera (MSc)Network effects of changing fuel prices and emission penalties

In recent years, the Dutch government has been shifting towards new methods of limiting the environmental effects of the aviation industry in the Netherlands. These methods range from a new limit on the discrete number of aircraft movements and a shift towards a completely new system that only relies on environmental benchmarks, such as noise nuisance and the emission of harmful gasses. These new policies are bound to have an impact on the connectiveness of Amsterdam Airport Schiphol (AAS), an airport that has established itself as a transfer hub.  The aim of this thesis project is to perform an analysis to understand the effects of the future policy changes on the competitiveness of AAS as a hub. To perform this analysis, a traffic flow model is constructed in order to simulate the aviation network when subjected to the various proposed policy changes. The results will enable AAS to identify the critical tip-off points and to prepare for the predicted effects of the policy changes on the competitiveness of AAS as a hub.

 

Lars Dijkstra (MSc)Ground handling planning conformance prediction

Predicting whether, and if so, the extent to which, aircraft ground handling is delayed has become increasingly important in the last decade as the aviation industry aims to improve the punctuality of its flights. Timely identification of aircraft ground handling delays allows the operational partners to update their schedules and reallocate their resources. While obtaining an accurate prediction is important, understanding how a prediction comes about is at minimum equally important. After all, this yields insights into the complex and stochastic aircraft ground handling process system, consisting of many sequential and parallel activities such as fuelling, (de)boarding and baggage (un)loading, and allows the operational partners to establish mitigation and/or contingency measures using knowledge extracted from the model. This research delves into the prediction of scheduled ground handling end time adherence at intervals during an aircraft turnaround at Amsterdam Airport Schiphol (AAS). To accomplish this, the processes and variables at play in the aircraft ground handling process are first identified and assessed. Subsequently, the aircraft ground handling process is modelled using interpretable machine learning.

 

Alexandru Măgdălinoiu (MSc)Supporting executive inbound flight sequencing: improving exit constraints and EAT adherence

As the number of flights climbs to and surpasses pre-Covid levels, airspace capacity struggles to keep up with the continuously rising demand. This, alongside decreased flexibility in usage of the current airspace by controllers due to restrictions posed to reduce noise pollution and emissions, leads to the need to optimize flown routes and facilitate the handover between adjacent controlled areas. In the case of Schiphol-inbound flights this is translated into the aircraft sequencing and arrival metering process, which aims to maximize throughput given the limited landing capacity of existing runways. The goal of this research is developing a visual interface which aids Area Control Centre controllers in devising control strategies to follow the Expected Approach Time (EAT) computed by the Arrival Manager (AMAN) more closely and streamline the handover process to the Terminal Manoeuvring Area, while encouraging proactive control choices as an initial step towards Trajectory-Based Operations (TBO) and avoiding increasing the resulting cognitive workload.

 

 

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.

 

 

Mithun Raghunandan (MSc)Enhancing the success rate of Continuous Descent Operations: the added value of TP performance through Air-Ground Datalink.

The future concept for arrivals at Amsterdam Schiphol, as for many airports, is to progressively implement Continuous Descent Operations (CDO). For this, it is already known that a high degree of predictability of the arrival trajectories is needed. With new Air Ground Datalink (AGDL) technology emerging, specifically ADS-C, these possibilities are becoming within reach. However, it is unclear to which extent the integration of this AGDL provided information will enhance Trajectory Predictor performance. Moreover, the sensitivity of the managed arrival process to the predictability of the trajectories is unclear. Having a better insight in this dependency enables the further design of the technical concept by providing target performance levels. In turn, it also provides direction and input to the business case for equipage by airlines for trajectory sharing as well as ground system trajectory prediction performance. To establish a useful measurement for value added by improved predictability of the success rate, that is, the percentage of CDO’s that can be executed without ATC intervention, is envisioned.

 

Bob van Dillen (MSc)Supporting Trajectory Based Operations in Aerodrome Control.

To increase airspace capacity and reduce aircraft emissions, the ATM system will move towards Trajectory Based Operations (TBO). Current research efforts in TBO primarily focus on en-route area control and hardly consider how such operations could benefit TWR operations and, conversely, how TWR operations can perhaps improve the TBO environment by better integration. In a TBO environment, trajectory information is shared by aircraft via digital datalinks. Together with the current and predicted wind conditions, this information can be used, amongst others, to enhance departure capacity, different routing to reduce noise impact, reduced dependency of converging arrival and departure runways and outbound traffic segregation techniques. This requires accurate management of the interaction of flight paths in the CTR/TMA. The goal of this research is therefore to develop a support tool for TWR control to maintain separation between departing and arriving traffic streams in a TBO environment.