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Enabling PerformanceBased Naviga6on Arrivals: Development and Simula6on Results of the Terminal Sequencing and Spacing System John E. Robinson III and Jane Thipphavong NASA Ames Research Center MoffeI Field, California William C. Johnson NASA Langley Research Center Hampton, Virginia 11 th USA/Europe Air Traffic Management Research and Development Seminar Lisbon, Portugal 23–26 June 2015

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Page 1: Enabling(Performance0Based(Navigaon(Arrivals€¦ · Mo6vaon(PBN(arrival(procedures(notused(during(busy(periods(when(maximum(throughputis(desired.(LightTraffic(Condi6ons(25 nautical

Enabling  Performance-­‐Based  Naviga6on  Arrivals:  Development  and  Simula6on  Results  of  the  Terminal  Sequencing  and  Spacing  System  

John  E.  Robinson  III  and  Jane  Thipphavong  NASA  Ames  Research  Center  MoffeI  Field,  California    William  C.  Johnson  NASA  Langley  Research  Center  Hampton,  Virginia  

11th  USA/Europe  Air  Traffic  Management  Research  and  Development  Seminar    Lisbon,  Portugal  23–26  June  2015  

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Performance-­‐Based  Naviga6on  

•  PBN  benefits  include:  –  improved  fuel  efficiency  and  reduced  environmental  impact  –  shorter,  more  direct  flight  paths  –  repeatable,  more  predictable  flight  paths  

•  PBN  equipage  rates  for  air  carriers  are  high  •  PBN  procedures  con6nue  to  be  developed  world-­‐wide  

Performance-­‐based  naviga6on  (PBN)  procedures  are  a  founda6onal  element  of  NextGen  and  SESAR.  

 

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Mo6va6on  

PBN  arrival  procedures  not  used  during  busy  periods  when  maximum  throughput  is  desired.  

Light  Traffic  Condi6ons  

25 nautical miles"

Busy  Traffic  Condi6ons  

25 nautical miles"

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Background  

Advanced  arrival  management  tools  are  not  provided  to  terminal  air  traffic  controllers.  

•  Terminal  opera6ons  managed  by  repeated  turn,  speed,  and  al6tude  instruc6ons  

•  In  the  United  States,  numerous  reports  have  iden6fied  the  need  for  terminal  spacing  tools  (RTCA  Task  Force  5,  2009;  RTCA  NextGen  Advisory  CommiIee  2013,  2014)  

•  Non-­‐trajectory-­‐based  tools  have  not  achieved  the  desired  performance  

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Related  Work  

NextGen  and  SESAR  include  advanced  6me-­‐based  metering  technologies  and  procedures.  

•  FAA  is  deploying  interval  management  tools  that  provide  efficient  speeds  to  en  route  controllers  

•  Time-­‐based  separa6on  has  demonstrated  improved  throughput  at  London  Heathrow  (Morris,  2013)  

•  Simula6ons  of  6me-­‐based  metering  in  the  terminal  area  showed  feasibility  of  extending  the  FAA’s  en  route  capabili6es  (Swenson,  2011)  

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Outline  

•  Opera6onal  Concept  for  PBN  Arrivals  •  Simula6on  Descrip6on  

•  Simula6on  Results  for  Phoenix  Sky  Harbor  Airport  

•  Implementa6on  Status  

•  Concluding  Remarks  

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OPERATIONAL  CONCEPT  

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Opera6onal  Scenario  

       Time-­‐based  scheduling  provides  runway  arrival  6mes  and  fix  crossing  6mes  for  arriving  aircrai.    

     En  route  speed  and  path  assignments  correctly  space  aircrai  for  descents  along  

RNAV/RNP  OPDs  to  their  assigned  runways.  

Most  flight  crews  use  their  Flight  Management  Systems  to  fly  RNAV/RNP  

Op6mized  Profile  Descent  (OPD)  procedures  without  interven6on.    

       Aircrai  are  delivered  to  terminal  area  according  to  schedule,  but  with  small  spacing  errors  that  need  to  

be  reduced  to  maximize  throughput  and  avoid  downstream  interrup6ons  of  the  efficient  descents.  

           Terminal  controllers  correct  remaining  spacing  errors  and  cope  with  disturbances  and  off-­‐nominal  events  using  tools  and  display  

enhancements  based  on  4-­‐D  trajectories.  

Meter  Fix  

Meter  Fix  

~50  NM  

Meter  Point  

1

2

3

4

5

Terminal  Area  

En  Route  Area  

8  

250+  NM  

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Air  Traffic  Management  Technology  Demonstra6on  #1  (ATD-­‐1)  

CMS! Controller-Managed Spacing"in Terminal Airspace"

TBFM! Traffic Management Advisor"with Terminal Metering"

FIM! Flight Deck Interval Management"for Arrival Operations"

TMA-TM! Traffic Management Advisor (TMA) with Terminal Metering"

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Terminal  Sequencing  and  Spacing  (TSS)  

CMS! Controller-Managed Spacing"in Terminal Airspace"

TBFM! Traffic Management Advisor"with Terminal Metering"

FIM! Flight Deck Interval Management"for Arrival Operations"

TMA-TM! Traffic Management Advisor (TMA) with Terminal Metering"

TSS  

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Display  Aids  for  Terminal  Air  Traffic  Controllers  

             25L  5  

180  

210  Slot  

Marker  

Slot  Marker  Speed  

Runway  Assignment  

Landing  Sequence  

Speed  Advisory    

Timeline  

Z  

AWE209  090  B738  

0  PHX25L  

AWE652  AWE652  

ETA   STA  

DAL1921  

SWA2053  

SWA1011  

AWE221  

SWA1825  

AWE24  

DAL1921  

SWA2053  

SWA1011  AWE209  

AWE221  

SWA1825  

AWE273  

AWE24  

AWE251  SWA2197  

30  

35  

SWAP  T   PHX25L  

AWE273  

AWE209  

Es6mated  Airspeed  

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NOTE:  TSS  Prototype  look-­‐and-­‐feel  is  shown.  FAA  will  finalize  the  opera6onal  look-­‐and-­‐feel  prior  to  deployment.  

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SIMULATION  DESCRIPTION  

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Simula6on  Overview  

•  Sixteen  large-­‐scale,  human-­‐in-­‐the-­‐loop  simula6ons  –  En6re  arrival  opera6on  –  Mul6ple  airports  and  configura6ons  –  Mixed  equipage  –  Realis6c  wind  condi6ons  and  errors  –  Realis6c  traffic  demand  –  Experienced  controllers  

•  Four  phases:  systems  integra6on,  concept  refinement,  performance  evalua6on,  and  opera6onal  integra6on  

•  FAA  and  MITRE  independently  conducted  five  addi6onal  TSS  simula6ons  

Simula6on  Designa6ons  

CMS  for  ATD-­‐1:  CA-­‐1,  CA-­‐2,  CA-­‐3,  CA-­‐4,  CA-­‐4.1,  CA-­‐5.1,  CA-­‐5.2,  and  CA-­‐5.3  

Full  Integrated  ATD-­‐1  Test:  FIAT-­‐1,  FIAT-­‐2,  FIAT-­‐3,  FIAT-­‐4,  and  FIAT-­‐5  

Joint  NASA/FAA  SimulaDons:  REACT,  TSS-­‐1,  TSS-­‐2,  and  OIA  (post-­‐publica6on)  

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Simula6on  Condi6ons  

•  “Baseline”  –  Current  arrival  scheduling  

•  “None”  –  Improved  arrival  scheduling  (i.e.,  terminal  metering)  

•  “Limited”  –  Improved  arrival  scheduling  –  Runway  assignment,  landing  sequence,  and  slot  marker  

•  “Full”  –  Improved  arrival  scheduling  –  All  controller-­‐managed  spacing  display  aids  

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SIMULATION  RESULTS  -­‐  PHOENIX  SKY  HARBOR  AIRPORT  (PHX)  -­‐  7  SIMULATIONS  

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Modeled  PBN  Arrival  Procedures  

PHX  West  Flow  Opera6ons   PHX  East  Flow  Opera6ons  

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Simulated  Wind  Condi6ons  

•  Twenty  wind  scenarios  based  upon  Phoenix  area  wind  paIerns  

•  Simulated  aircrai  subjected  to  “truth”  winds  and  automa6on  tools  used  “predicted”  winds  

•  Wind  forecasts  were  temporally  offset  to  match  empirical  wind  errors  

•  Wind  magnitude  errors  were  approximately  10  knots  rms  (Tandale,  2013)  

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Measures  of  Performance  

•  Six  measures  of  performance  evaluated  for  each  simula6on  –  PBN  success  rate  –  Inter-­‐arrival  spacing  error  –  Controller  acceptability  –  Controller  workload  –  Excess  in-­‐trail  separa6on  –  Number  of  controller-­‐to-­‐pilot  instruc6ons  

•  Two  key  performance  parameters  compared  across  simula6ons  –  PBN  success  rate  –  Inter-­‐arrival  spacing  error  

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Descrip6on  of  PBN  Success  Rate  

The  PBN  success  rate  indicates  how  oien  aircrai  remain  on  assigned  PBN  arrival  routes.  

•  Some  aircrai  are  excluded:  –  Unequipped  aircrai  –  Equipped  aircrai  to  alternate  runways  

•  The  following  criteria  must  be  sa6sfied:  –  No  vectoring  before  end  of  PBN  arrival  procedure  –  Intercept  of  final  approach  course  near  planned  loca6on  

•  The  performance  goal  is  80%  

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PBN  Success  Rate  Determina6on  

Green  flight  paths  are  uninterrupted  PBN  arrival  procedures  Red  flight  paths  are  interrupted  PBN  arrival  procedures  

Black  flight  paths  are  excluded  opera6ons  –  crossovers  and  unequipped  aircrai  

EAGUL  MAIER  

GEELA  

KOOLY  

PHX  26  PHX  25L  

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PBN  Success  Rate  Results  

0.0#

0.1#

0.2#

0.3#

0.4#

0.5#

0.6#

0.7#

0.8#

0.9#

1.0#

CA/5.1# FIAT/2# TSS/2# FIAT/2# FIAT/2# TSS/2# FIAT/3# CA/5.2# FIAT/4# CA/5.3#

Mean%PB

N%Success%Rate%

18# 4# 6# 3# 6# 19# 18# 31# 18#3#

Baseline# None# Limited# Full#

Number  of  Simula6on  Runs  

95%  Confidence  Interval  

Goal  

+26%  

+24%  

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Descrip6on  of  Inter-­‐Arrival  Spacing  Error  

The  inter-­‐arrival  spacing  error  indicates  the  spacing  conformance  at  the  final  approach  fix.  

•  Undelayed  aircrai  are  excluded  •  The  following  approach  is  used:  

–  Difference  between  the  scheduled  and  actual  final  approach  fix  spacing  is  calculated  for  every  aircrai  pair  

–  The  2.5%  trimmed  range  of  the  spacing  conformance  is  calculated  for  each  simula6on  run  

•  The  performance  goal  is  24  seconds  (i.e.,  95%  of  flights  within  12  seconds)  

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Inter-­‐Arrival  Spacing  Error  Determina6on  

0"

0.1"

0.2"

0.3"

0.4"

0.5"

0.6"

0.7"

0.8"

0.9"

1"

-60" -50" -40" -30" -20" -10" 0" 10" 20" 30" 40" 50" 60"

Inter&Arrival,Spacing,Error,(seconds),

Dashed  box  indicates  2.5%  trimmed  range  

Results  are  shown  for  en6re  FIAT-­‐4  simula6on  

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0"

10"

20"

30"

40"

50"

60"

CA+5.1" FIAT+2" TSS+2" FIAT+2" FIAT+2" TSS+2" FIAT+3" CA+5.2" FIAT+4" CA+5.3"

Mean%Inter)Arrival%Spa

cing%Error%(secon

ds)%

16" 4" 6" 3" 6" 19" 18" 31" 18"

Baseline" None" Limited" Full"

3"

Inter-­‐Arrival  Spacing  Error  Results  

Goal  

-­‐17  s  

-­‐10  s   -­‐9  s  -­‐5  s  

24  

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IMPLEMENTATION  STATUS  

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Technology  Transfer  Achievements  

TSS  achieved  Technology  Readiness  Level  6.  •  TSS  prototype  implemented  in  actual  FAA  systems  

–  TBFM  arrival  management  system  –  STARS  ELITE  terminal  automa6on  plauorm  –  Opera6onal  Integra6on  Assessment  at  FAA  William  J.  Hughes  

Technical  Center  in  May  2015  

•  Formal  “tech  transfer  packages”  delivered  to  the  FAA  –  Technical  documenta6on  –  Soiware  source  code  –  Training  materials  

•  NASA  con6nues  to  provide  subject-­‐maIer  exper6se  to  FAA  

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Opera6onal  Deployment  

FAA  is  implemen6ng  TSS  as  part  of  NextGen.  

•  FAA  TBFM  Program  Work  Package  3  final  investment  decision  passed  in  April  2015  

•  Nine  airports  selected  for  ini6al  deployment  –  PHX,  IAH,  LAX,  ATL,  SEA,  DEN,  SFO,  CLT,  and  LAS  

•  Deployment  of  TSS  planned  to  start  in  early  2019  

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Concluding  Remarks  

•  Terminal  Sequencing  and  Spacing  (TSS)  includes  improved  scheduling  and  display  aids  for  terminal  controllers  to  improve  PBN  u6liza6on  

•  TSS  was  tested  in  sixteen  high-­‐fidelity  simula6ons  

•  PBN  Success  Rate  improved  to  92%  with  improved  scheduling  and  display  aids  

•  Inter-­‐Arrival  Spacing  Error  improved  5–17  seconds  with  improved  scheduling  and  display  aids  

•  TSS  will  be  deployed  to  nine  major  U.S.  airports  star6ng  in  2019  

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