Open-source projects (selected) View more on GitHub
Thesis research projects
This study investigates different methods to tackle the unpredictability of flight trajectories caused by various random factors. The goal is to model trajectory prediction uncertainty caused by these factors during different flight phases.
Student: R. GrassThis study focuses on the medium to long term predictions of flight trajectories based on data-driven approaches. We aim to to model the dynamics of air traffic situations and incorporate this model to improve flight trajectory predictions.
Student: J.L. OverkampThis study aims at constructing an open RT corpus and an ATCo speech recognition model using neural networks and domain specific information.
Student: J. LubberdingThis study aims at developing a method to verify and validate ADS-B signal integrity using low-cost concurrent multi-channel software defined radio receiver.
Student: W. HuygenThis study aims at expanding OpenAP’s capability by developing an emission model, which can calculate emissions such as CO, NOx, CO2, and H2O based on ADS-B data.
Student: J. JongbloedThe study proposes a proactive risk management strategy that uses safety indicators, which are obtained from ADS-B data using various data mining techniques. These safety indicators are then used to identify anomalous safety events and precursors at Schiphol Airport.
Student: A. BonifaziThis study makes use of open ADS-B and Mode S to construct accurate wind and temperature field, which can be used to improved existing aircraft kinematic performance models.
Student: Q.H. VûThis study makes the first attempt to model flight envelop and to estimate aircraft performance parameters using ADS-B data.
Student: T.W. GloudemansThis research use MLAT data to assist the analysis of ADS-B data and signal quality and to investigate the effects of internal and external factors on ADS-B performance implementation.
Student: T.L. VerbraakOther research projects
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