When a flight’s operational conditions change (e.g., an updated weather forecast), various alternative trajectories may be computed. These usually require trade-offs between expected fuel burn and delay. The pilot, or the dispatcher, considers these expected values to decide how to operate the flight. This approach has two main challenges. Firstly, it requires the translation of arrival delay into parameters that are relevant for the airline (on-time performance and cost of delay). Secondly, uncertainties in the system need to be estimated (e.g., holding at arrival). These estimations rely on airline staff expertise. Pilot3 sets out to overcome these issues by developing a new, multi-criteria decision-support tool, which incorporates explic...
The existence of significant uncertainties in the models and systems required for trajectory predict...
The Traffic Aware Strategic Aircrew Requests concept aims to reduce weather-induced delays, improve ...
Airport surface management is fundamentally a task requiring decision making under uncertainty. For ...
Tactical trajectory optimisation should consider the total expected cost of the flight (fuel and del...
This deliverable describes the decision making approach that will be followed in Pilot3. It present...
Estimating the potential propagation of delay (and its associated cost) is crucial for the managemen...
Review of approach and challenges of using machine learning techniques for air transport systems wit...
The anticipated growth of air traffic worldwide requires enhanced Air Traffic Management (ATM) techn...
An airline operations centre determines the imminent and future operations of an airline by assessin...
Aircraft crew are aware of the delay they have experienced at departure. However, uncertainties ahea...
This paper presents an optimisation framework to compute the altitude and speed profiles of a trajec...
Machine learning techniques to support decision making processes are in trend. These are particularl...
In this thesis, we investigate the issue of optimizing the aircraft operators' demand with the airsp...
In this thesis, we investigate the issue of optimizing the aircraft operators' demand with the airsp...
Discussed are three theories: 1) Baysian probability theory, 2) signal detection theory, and 3) oper...
The existence of significant uncertainties in the models and systems required for trajectory predict...
The Traffic Aware Strategic Aircrew Requests concept aims to reduce weather-induced delays, improve ...
Airport surface management is fundamentally a task requiring decision making under uncertainty. For ...
Tactical trajectory optimisation should consider the total expected cost of the flight (fuel and del...
This deliverable describes the decision making approach that will be followed in Pilot3. It present...
Estimating the potential propagation of delay (and its associated cost) is crucial for the managemen...
Review of approach and challenges of using machine learning techniques for air transport systems wit...
The anticipated growth of air traffic worldwide requires enhanced Air Traffic Management (ATM) techn...
An airline operations centre determines the imminent and future operations of an airline by assessin...
Aircraft crew are aware of the delay they have experienced at departure. However, uncertainties ahea...
This paper presents an optimisation framework to compute the altitude and speed profiles of a trajec...
Machine learning techniques to support decision making processes are in trend. These are particularl...
In this thesis, we investigate the issue of optimizing the aircraft operators' demand with the airsp...
In this thesis, we investigate the issue of optimizing the aircraft operators' demand with the airsp...
Discussed are three theories: 1) Baysian probability theory, 2) signal detection theory, and 3) oper...
The existence of significant uncertainties in the models and systems required for trajectory predict...
The Traffic Aware Strategic Aircrew Requests concept aims to reduce weather-induced delays, improve ...
Airport surface management is fundamentally a task requiring decision making under uncertainty. For ...