Geen categorie

Development of a data driven realistic agent based model for current ground surface operations at Schiphol The development of this tool aims to provide a modular and flexible platform for users to easily develop and simulate Agent Based Models (ABM) for current Airport Surface Operations. Because of the future air traffic growth expectations, many researchers […]

Developing an improved metric to better predict aircraft noise annoyance based on number of flights and complaints data Predicting the impact that aircraft noise will have on the community around an airport is a challenging problem. A human being experiences sound based on more than just the sound pressure (dB), and annoyance can increase even […]

Analysis of Meteorological Conditions and ATC vectoring effects on Atypical Approaches During arrival operations, aircraft are sequenced and vectored by air traffic control (ATC) to intercept the final approach and establish stabilized approach conditions prior to landing. Flight crews are required to control indicated airspeed, vertical flight path, lateral track and landing configuration in accordance […]

The practical possibilities of a Deep Turnaround based alarm system The Deep Turnaround (DT) system introduces the use of multiple cameras at aircraft VOPs to capture visual data of turnaround operations. This data is processed by a machine learning algorithm to interpret and predict ground handling events using historical datasets. While DT is primarily intended […]

Uncertainty Quantification for Inbound Air Traffic Demand in LVNL’s Decision Support Tool Efficiently managing inbound air traffic flows requires precise demand prediction to prevent congestion and ensure safety. Currently, LVNL’s Decision Support Tool (DST) supports this by providing deterministic point predictions. However, these predictions do not convey the range of possible outcomes. In a dynamic […]