Print Email Facebook Twitter ADS-B and Mode S Data for Aviation Meteorology and Aircraft Performance Modelling Title ADS-B and Mode S Data for Aviation Meteorology and Aircraft Performance Modelling Author Vû, Huy (TU Delft Aerospace Engineering) Contributor Hoekstra, J.M. (mentor) Ellerbroek, J. (graduation committee) Sun, J. (graduation committee) Degree granting institution Delft University of Technology Programme Aerospace Engineering | Control & Simulation Date 2018-10-01 Abstract With the increase in air traffic volume, aircraft are required to be equipped with a transponder by aviation authorities to increase the surveillance in air traffic control. These transponders transmit periodically Automatic Dependent Surveillance-Broadcast (ADS-B) signals and by interrogation the Mode S signals. These signals can be received by anyone with a simple receiver and are a new source for aviation research. It contains flight trajectories and aircraft states which were previously only available for air traffic control and aircraft operators. This paper uses ADS-B and Mode S data to derive an accurate meteorological model and uses this model to determine aircraft performance parameters, which are usually not publicly available. A Meteo-Particle model is used and validated with the European Centre for Medium-Range Weather Forecasts (ECMWF) model. For wind speed, wind direction and temperature the mean absolute error are 2.73 m/s, 7.73 degrees and 1.32 K respectively. The true airspeed is the actual airspeed that the aircraft experiences. It is required to determine aircraft performances. The true airspeed can be obtained with the wind derived in the Meteo-Particle model and ADS-B ground speed. Using the true airspeed information, aircraft performance parameters for climb, cruise and descend phase are determined for 16 aircraft types. These derived aircraft performance parameters, based on a large quantity of ADS-B and Mode S data, are a good alternative to the close-sourced performance parameters. To reference this document use: http://resolver.tudelft.nl/uuid:d6fe7f87-c5f0-4d54-9d13-a0d543e5efd8 Embargo date 2018-10-08 Part of collection Student theses Document type master thesis Rights © 2018 Huy Vû Files PDF ADS_B_and_Mode_S_Data_for ... elling.pdf 7.71 MB Close viewer /islandora/object/uuid:d6fe7f87-c5f0-4d54-9d13-a0d543e5efd8/datastream/OBJ/view