Modeling Aircraft Performance Parameters with Open ADS-B Data

Transcription

1 Twelfth USA/Europe Air Traffic Management Research and Development Seminar Modeling Aircraft Performance Parameters with Open ADS-B Data Junzi Sun, Joost Ellerbroek, Jacco Hoekstra Delft University of Technology 1

2 Background Objective Method Content Parameters Flight phases Results Discussions 2

3 Objective Open data Operational performance in all flight phases takeoff, initial climb, climb, cruise, descent, final approach, landing Direct performance parameters Speed, vertical rate, distance, etc Hidden Performance Parameters Different speed and vertical rate under constant CAS/Mach profile As many aircraft types as possible Used for kinematic modeling Results are reproducible and open-source 3

4 Why another model? Open data, open models. 4

5 Background (Open-source application) Bluesky - The open-source air traffic simulator 5

6 Background (Data) Large amount of air traffic data from ADS-B 6

7 Background (Tool) pymodes - the Python ADS-B and Enhanced Mode-S decoder 7

8 Background (Tool) Well designed, automatic, flight phase extraction tools takeoff > initial climb > climb > cruise > descent > final approach > landing 8

9 Background (Open wind data / model) Global Forecast System Integrated Surface Data Updated every 6 hours Typically updated every hour All vertical levels, except surface Only surface data Smooth wind data from GFS model Real time wind measurements 9

10 Background (Statistical model) Parametric / non-parametric analysis 10

11 How is it constructed? Flight phase and statistics. 11

12 Terms and definitions Optimal, minimum, and maximum value Confidence intervals 80% for most of the velocity parameters, 98% for range parameters 90% for other parameters. Distributions Normal distribution (prefered) Gamma distribution Beta distribution 12

13 Takeoff Approximate the takeoff moment Parameters Takeoff distance Liftoff speed Mean ground acceleration Aircraft: Airbus A320 13

14 Initial climb To altitude 1500 ft Parameters Speed Vertical speed Std. at each flight -> 14

15 Climb Identification of constant CAS/Mach profiles 15

16 Climb Identification of constant CAS/Mach profiles 16

17 Climb Parameters Speeds CAS Mach Vertical rates At different parts Transition altitude Range of climb 17

18 Cruise Parameters Operational and maximum cruise speed Operational and maximum cruise altitude Cruise range 18

19 Descent Identification of constant Mach/CAS profiles 19

20 Descent Identification of constant CAS/Mach profiles 20

21 Descent Parameters Speeds CAS Mach Vertical rates Transition altitude Range of descent 21

22 Final approach From altitude 1500 ft Parameters Speed Vertical speed Std. at each flight -> 22

23 Landing Parameters Landing distance Approach speed Mean ground deceleration 23

24 Results Open sourced 24

25 Performance Database 25

26 Performance Database 26

27 Discussions 27

28 1. Comparison with BADA 10 parameters on 14 different aircraft 28

29 2. Comparison with EuroControl aircraft performance database 17 parameters on 14 different aircraft 29

30 3. CDA vs Non-CDA Influence of performance parameter due to continuous descent approach 30

31 4. Take-off moment Locating the take-off moment, limitation in dataset. 31

32 Conclusions Performance of 31 most common aircraft types 17 included in the paper Accurate models based on 1.7 million of flights Comparison with BADA and Eurocontrol database Open source database Future work to improve the number of aircraft types in the database 32

33 Take away Best suit for kinematic ATM studies Flight envelop Stochastic simulation Optimal, minimum, and maximum value Parametric probability distribution functions [Future] kinetic performance model 33

34 Thanks! Junzi Sun Delft University of Technology 34