CONTRACT-BASED AIR TRANSPORTATION SYSTEM (CATS)

Transcription

1 CONTRACT-BASED AIR TRANSPORTATION SYSTEM (CATS) Target Windows modelling Presented by Ion Berechet Air France Consulting CATS Final Workshop Le Bourget October 20th, 2010 Page: 1

2 Goal of WP2.2.4 To develop mathematical models of TW generation by integration actors and system constraints and capable to give margins of manoeuvre to limit the uncertainties of system. The deliverables of WP2.2.4 are: D Initial evaluation of the Target Windows for experimentations D Developed tools D Report on Target Windows modelling. Page: 2

3 Global approach for TW modelling CONSTRAINTS UNCERTAINTIES Signed TW TW MODEL Signed TW Status of constraints New TW set Actors negotiation & agreement Target Windows model gives margins of manoeuvre to limit the uncertainties Page: 3

4 Global constraints and TW modelling GLOBAL CONSTRAINTS Airline constraints Aircraft constraints Airport constraints Internal model constraints TW MODEL Sectors constraints System constraints Data modifiable by actors Signed TWs values Page: 4

5 Airline and Airport constraints Airline constraints Departure and Arrival times List of waypoints from Aircraft route Speed and Flight level values at some waypoints Destination airport TTA (for SESAR, out of AMAN horizon) according to Airport Airport constraints Departure and arrival capacity 4 reduced capacity imposed by meteorological constraints 4 reduced capacity imposed by infrastructure constraints Page: 5

6 Aircraft constraints Aircraft envelop data in normal conditions MinOperational speeds /FL MaxOperational speeds /FL Aircraft Performance data in normal conditions imum altitude rate of climb (ROC) rate of descent (ROD) Aircraft failure speed of the aircraft FL of the aircraft Page: 6

7 ANSP constraints (1) Sector constraints Capacity Environmental constraints 4 meteorological constraints interval time restriction / area 4 military area constraints interval time restriction / area Sector boundary constraints / TW 4 No SUP TW near X nm from boundary sector (proposed X = 10 nm) 4 No SUP TW near X nm of crossing points Paired level constraint 4 Odd FL constraint 4 Even FL constraint Altitude limits 4 lower altitude of sector in feet 4 upper altitude of sector in feet Boundary points geo position (lat/long) Page: 7

8 ANSP constraints (2) Network constraints Route network constraints Military area Environnement constraints Meteo Page: 8

9 System constraints The safety issues (D2.2.1 Risk and Safety Assessment), regarding the number of TW s overlapping at the same time, same area, same FL Minimum Separation TW s constraints Signed TW s values for other flights Page: 9

10 Uncertainties Target Windows model gives margins of manoeuvre to limit the uncertainties Ad hoc events occurrences 4 Logistical delays at airport 4 Reduced runway capacities 4 Meteorological phenomena 4 Occurrences on board aircraft Permanent uncertainty 4 Current aircraft position 4 Aircraft performance 4 Air mass properties 4 Measurement noise, noise model accuracy ATC-flight crew communications Separation function (conflict resolution,.) Page: 10

11 Illustration of TW calculation Aircraft constraints Uncertainty System constraints Tolerances TW values Callsign Example Interior Point Algorithm uncertainty time window aircraft time envelope tolerance time window Target Window time time i time i _time Target Window =, _time Target Window = { (time_acceptance ), (aircraft_time_envelope) } { (time_acceptance), (aircraft_time_envelope) } time Page: 11

12 Example of SUP TW overlapping responsibility transfer plan P3 i SUP TW i time i,time [ ] i P2 j NW N NE P2 i W E P1 i CP i S ij P4 j SW S SE P3 j CP J SUP TW j time j,time [ ] j P4 i Callsign i P1 j Callsign FL275 j FL345 Page: 12

13 Example of ADJ TW s overlapping sector frontier " odd "or " even "level responsibility transfer area ADJ TW i [ time i,time ] i [ time j,time ] j ADJ TW j level i level j CrossingPoint i S ij Callsign i P1 i segmp1p2 i CrossingPoint j P2 i FL i FL j Callsign j P1 j segmp1p2 j level i level j P2 j Page: 13

14 Illustration of TWs de-confliction by time separation Callsign i time i limit _ acceleration time i time i time i limit _ deccelerat ion Callsign j time j limit _ acceleration time j time j time j limit _ deccelerat ion potential conflict Callsign i newtime i newtime i Callsign j newtime j newtime j time sepatation Just for overlapping Page: 14

15 Summary Two kinds of TWGenerators were developed: For planning phase 4 TWG use an external Trajectory Predictor For execution phase 4 TWG use an internal Trajectory Predictor The TWGs were converted in executable using Converter MATLAB tools (TheMathWorks) These tools have been used during the execution of the HIL experiments to calculate initial values of the Target Windows (HIL1 and HIL2) and also to renegotiate them during HIL3 Page: 15

16 Thank you for your attention! Page: 16

17 Example of generated TW file for HIL experiments [AFR1504] 1=ADJ;17:53:53;18:01:13;290;330;;FD;KL1;MOKIP+; /5.1557; /5.2155; / =ADJ;18:11:08;18:17:50;290;330;;KL1;;LAPRI+; /7.1720; /7.1922; / =ADJ;18:33:31;18:38:07;280;340;D;;FD;SIPLO-; / ; / ; / =APT;18:58:09;19:01:09;;;;;LIRF;;;;; [SWR342Z] 1=SUP;17:39:06;17:46:28;275;275;C;FD;;LUKIM /9.3694; /9.2996; /9.4393; / =ADJ;17:54:21;18:01:11;280;340;C;;KL1;PIMOT+; /7.7189; /7.5926; / =SUP;17:56:53;18:03:39;345;345;C;KL1;FD;AOSTA; /7.4207; /7.4113; /7.4302; / =APT;18:47:00;18:50:00;;;;;EBBR;;;;; [VEX55N] 1=ADJ;17:59:08;18:06:02;280;340;;FD;;BELEL+; /9.7607; /9.6205; / =ADJ;18:19:24;18:25:48;300;340;;;KL1;PIMOT+; /7.7189; /7.6060; / =ADJ;18:34:56;18:40:56;320;340;;KL1;FD;GILIR-; /6.2447; /6.1301; / =APT;19:12:33;19:15:33;;;;;EBBR;;;;; [TSO9121] 1=ADJ;17:06:33;17:12:29;290;330;;FD;;LUSIL-; / ; / ; / =ADJ;17:26:52;17:32:34;290;330;;;FD;VAMTU-; /7.6319; /7.7305; / =APT;18:10:02;18:13:02;;;;;LEBL;;;;; [EZS1118] 1=ADJ;17:55:50;18:03:06;280;340;;FD;;BELEL+; /9.7607; /9.6081; / =ADJ;18:18:00;18:24:04;320;340;;;FD;ABESI+; /9.0410; /8.9183; / =APT;18:40:20;18:43:20;;;;;LFSB;;;;; Page: 17