Keywords (GND, LCSH, freie, DDC, RVK) ===================================== KeywordsName.txt Possibilities and Limitations Using Flightradar24, ADS-B and Mode S Data for Aircraft Performance Analysis – an Overview GND (4x): Luftfahrt, Luftfahrzeug, Flugbetrieb, Mode-S-Radar Mehr GND (bliebig): Radar, Flugleistung, Flugmechanik, Flugzeug, Surveillance, Überwachung, Rundfunk Mehr auf Deutsch (bliebig): --- LCSH (4x): Aeronautics, Airplanes, Flight, Electronic surveillance Mehr LCSH (bliebig): Radar, Air Traffic Control Mehr auf Englisch (bliebig): ATC, Flightradar24, ADS-B, Mode S, aircraft performance, flight tracking services, Comm-B messages, python, DDC für DNB (3x), DDC (GND Bezeichner): --- ALLE: Luftfahrt, Luftfahrzeug, Flugbetrieb, Mode-S-Radar, Radar, Flugleistung, Flugmechanik, Flugzeug, Surveillance, Überwachung, Rundfunk, Aeronautics, Airplanes, Flight, Electronic surveillance, Radar, Air Traffic Control, ATC, Flightradar24, ADS-B, Mode S, aircraft performance, flight tracking services, Comm-B messages, python Für die DNB (10x): Luftfahrt, Luftfahrzeug, Flugzeug, Flugbetrieb, Mode-S-Radar, Radar, Flugleistung, Flugmechanik, Surveillance, Überwachung Für das IA (alle, die auf English klein): Luftfahrt, Luftfahrzeug, Flugbetrieb, Mode-S-Radar, Radar, Flugleistung, Flugmechanik, Flugzeug, Surveillance, Überwachung, Rundfunk, aeronautics, airplanes, flight, electronic surveillance, radar, Air Traffic Control, ATC, Flightradar24, ADS-B, Mode S, aircraft performance, flight tracking services, Comm-B messages, python Landing Page (alle ohne 4x GND und 4x LCSH): Radar, Flugleistung, Flugmechanik, Flugzeug, Surveillance, Überwachung, Rundfunk, Radar, Air Traffic Control, ATC, Flightradar24, ADS-B, Mode S, aircraft performance, flight tracking services, Comm-B messages, python Für WorldCat (wie "Landing Page" aber alle ohne Umlaute und getrennt mit ): --- Datenbank (wie "Landing Page" aber längenbegrenzt, max. 256) siehe nach Einbau in Datenbank. --- RVK --- POSSIBLE OBSERVATIONS: => Aborted Take-Off => Altitude and Speed during Holdings => Taxi Time => Altitude and Speed during Cruise Flight => Initial Cruise Altitude and Step Climbs INITIAL CRUISE ALTITUDE ======================= => An Initial Cruise Altitude is typically around 35000 ft. => Initial Cruise Altitude is decreasing with flight distance (due to more fuel on board and a heavier aircraft). STEP CLIMBS (observations from 440 data sets) ============================================= => The initial cruise altitude decreases, and the number of steps increases with the increase in flight distance => Short-medium range aircraft (narrow body) show no step climb or one step climb during the flight. More interesting are long range (wide body) aircraft: => They show up to 5 stepts climts during the flight. => 2000 ft increase in altitude for every step climb (a few steps where 1000 ft or 4000 ft). => Approx. 0.35 and 0.45 step climbs per 1000 km, the highest number is 1.6 steps per 1000 km. => Depending on the speed in cruise there is usually every 100 min to 150 min a step climb. => The vertical speed during the step climbs is typicaly around 500 ft/min, but can vary between 200 ft/min and 1000 ft/min. Abstract (of Poster) ==================== Automatic dependent surveillance broadcast, short ADS-B, is used for surveillance purposes by air traffic control. Besides that, it is used by flight tracking services and gains popularity among private users. In this project, two different sources of flight data are discussed: 1.) Data provided by the flight tracking service Flightradar24: Different cases of possible aircraft performance or flight analysis are presented. It is evaluated whether Flightradar24 data is suitable for this analysis. To demonstrate the value of Flightradar24 data, a study of initial cruise altitude and step climbs with 440 data sets of different aircraft types is conducted and the first findings are derived. 2.) A homebuilt receiver for ADS-B and other Mode-S data is used. The technology behind ADS-B is presented and a decoding script for ADS-B and Comm-B messages, based on the open source python library pyModeS, is developed. The potential of this data source is shown by analyzing flight data from an aircraft using the homebuilt set-up. The different sources are compared, and the results show that the data sources differ significantly in terms of the number of parameters, data rate, and coverage: 1.) offers more coverage, but 2.) offers more parameters.