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1 Assurance for Increasingly Autonomous Systems April 21, 2015 Demonstrating Benefits of Submitting Multiple Trajectory Options Nancy Smith Human-Systems Integration Division NASA Ames Research Center Integrated Demand Management Findings from March 2018 Simulation

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Page 1: Integrated Demand Management Findings from March 2018

1 Assurance for Increasingly Autonomous Systems April 21, 2015

Demonstrating Benefits of Submitting Multiple Trajectory Options

Nancy Smith

Human-Systems Integration Division NASA Ames Research Center

Integrated Demand Management Findings from March 2018 Simulation

Page 2: Integrated Demand Management Findings from March 2018

2 Assurance for Increasingly Autonomous Systems April 21, 2015

• Quick review of IDM concept

• Summary of August 2017 EWR Simulation, with focus on impact of varying Trajectory Options Set (TOS) “participation levels” during a CTOP (i.e., the percentage of flights that submit TOSs)

• Presentation of results from March 2018 LGA Simulation with FET, which focused on benefits to individual carriers of participation

Bottom Line: 1. Both the participating and non-participating airlines benefited when TOSs

were submitted during a CTOP

2. Participating airlines benefited most

3. The improvement seen by participants was greatest when overall participation was lower

Overview

NOTE: This briefing does not cover all

of the IDM activities conducted in 2018

Page 3: Integrated Demand Management Findings from March 2018

3 Assurance for Increasingly Autonomous Systems April 21, 2015

Page 4: Integrated Demand Management Findings from March 2018

4 Assurance for Increasingly Autonomous Systems April 21, 2015

Page 5: Integrated Demand Management Findings from March 2018

5 Assurance for Increasingly Autonomous Systems April 21, 2015

Page 6: Integrated Demand Management Findings from March 2018

6 Assurance for Increasingly Autonomous Systems April 21, 2015

EWR SIMULATION, AUGUST 2017: IMPACT OF VARYING TOS PARTICIPATION LEVELS ON QUALITY OF OUTCOME

Page 7: Integrated Demand Management Findings from March 2018

7 Assurance for Increasingly Autonomous Systems April 21, 2015

August 2017 EWR Simulation: Overview

• Research Question

– What happens at different Trajectory Option Set (TOS) submission (“participation”) levels?

• Problem:

– Newark Liberty International Airport (EWR) arrival demand exceeds target capacity

– En route weather limits west flow capacity

• Conditions:

– TOS participation levels: 0%, 25%, 50%, 75%, 100%

• Metrics:

– Arrival throughput

– Ground delay

• Scenario Characteristics:

– Target arrival rate is 44 flights/hour

– Arrival demand ~52 flights/hour for 4 hours

– Heaviest flows from the West and South

– West gate is limited to 12 flights/hour

– North and South flows share remaining 32 slots

Page 8: Integrated Demand Management Findings from March 2018

8 Assurance for Increasingly Autonomous Systems April 21, 2015

2.3

5.9

10

.7

10

.4

10

.9

3.8

3.1

11

.0

16

.6

18

.6

83

.5

52

.9

25

.5

18

.1

17

.4

0

20

40

60

80

1000% 25% 50% 75% 100%

TOTA

L G

RO

UN

D D

ELA

Y B

Y A

RR

IVA

L G

ATE

(H

OU

RS)

PERCENTAGE OF FLIGHTS SUBMITTING TRAJECTORY OPTION SETS

N S W N S W N S W N S W N S W

Total: 89.6 hrs Total: 61.9 hrs Total: 47.2 hrs Total: 45.1 hrs Total: 46.9 hrs

August 2017 EWR Simulation: Results*

* Hyo-Sang Yoo, C. Brasil, N. Buckley, G. Hodell, S. Kalush, P. U. Lee, N. M. Smith (2018). "Impact of Different Trajectory Option Set Participation Levels within an Air Traffic Management Collaborative Trajectory Option Program." In 18th AIAA Aviation Technology, Integration, and Operations Conference..

Page 9: Integrated Demand Management Findings from March 2018

9 Assurance for Increasingly Autonomous Systems April 21, 2015

August 2017 EWR Simulation: Results*

2.3

5.9

10

.7

10

.4

10

.9

3.8

3.1

11

.0

16

.6

18

.6

83

.5

52

.9

25

.5

18

.1

17

.4

0

20

40

60

80

1000% 25% 50% 75% 100%

TOTA

L G

RO

UN

D D

ELA

Y B

Y A

RR

IVA

L G

ATE

(H

OU

RS)

PERCENTAGE OF FLIGHTS SUBMITTING TRAJECTORY OPTION SETS

N S W N S W N S W N S W N S W

* Hyo-Sang Yoo, C. Brasil, N. Buckley, G. Hodell, S. Kalush, P. U. Lee, N. M. Smith (2018). "Impact of Different Trajectory Option Set Participation Levels within an Air Traffic Management Collaborative Trajectory Option Program." In 18th AIAA Aviation Technology, Integration, and Operations Conference..

Total: 89.6 hrs Total: 61.9 hrs Total: 47.2 hrs Total: 45.1 hrs Total: 46.9 hrs

Arrival rate: 42.1 Arrival rate: 43.3 Arrival rate: 44.2 Arrival rate: 44.8 Arrival rate: 44.3

Off-loading traffic from the west flow substantially reduced ground delay for arrivals from the west and met target landing rate, when 50% or more flights submitted trajectory option sets.

Page 10: Integrated Demand Management Findings from March 2018

10 Assurance for Increasingly Autonomous Systems April 21, 2015

LGA SIMULATION WITH FET, MARCH 2018: OPERATOR BENEFITS OF SUBMITTING TRAJECTORY OPTIONS SETS

Page 11: Integrated Demand Management Findings from March 2018

11 Assurance for Increasingly Autonomous Systems April 21, 2015

March 2018 LGA Simulation: What We Did

• Human-in-the-loop simulation conducted with CDM Flow Evaluation Team

• FAA members and airline representatives from United, Delta, American, Southwest and FedEx were asked to role-play in LaGuardia Airport (LGA) simulation similar to August 2017 EWR problem

• Series of runs were completed with different airlines submitting trajectory option sets, including:

– All airlines submit trajectory options sets

– No airlines submit trajectory options sets

– Varying subsets of airlines – United, Delta, American, Southwest and/or JetBlue – submit trajectory options sets

• After each run, output showing airline-specific impact was provided to participants

• Operators described implications for their company operations

Page 12: Integrated Demand Management Findings from March 2018

12 Assurance for Increasingly Autonomous Systems April 21, 2015

March 2018 LGA Simulation: Overview

• Objectives – Explore IDM’s concept of using CTOP to precondition traffic for TBFM when not all operators

participate (i.e., submit Trajectory Options Sets)

– Obtain stakeholder feedback on benefits for all users, operational feasibility and suggestions (for changes, alternative use cases, etc.)

• Questions – What happens when different airlines submit Trajectory Option Sets (TOSs)?

– Who benefits (more): Participating airlines? Or non-participants?

• Problem: – LaGuardia Airport (LGA) arrival demand exceeds target capacity

– En route weather limits west flow capacity

• Metrics: – Ground delay

– TOS “reroute” count

– Reroute-associated flight time

• Conditions: – FET members decide which airlines will “participate” during each run

Page 13: Integrated Demand Management Findings from March 2018

13 Assurance for Increasingly Autonomous Systems April 21, 2015

Callsign FCA Option # Flight Plan

UAL556 WEST 1 KDEN./.ZIRKL..MCK..LNK.J60.DJB..YNG..ETG.MIP4.KLGA

UAL556 SOUTH 2 KDEN./.PER..RZC..ARG.J46.BNA.J42.BKW.J42.GVE.KORRY4.KLGA

UAL556 NORTH 3 KDEN./.BRYCC..TAYOT..DAYYY..RUBKI..SIKBO..TULEG..RKA.HAARP3.KLGA

March 2018 LGA Simulation: Scripted TOS Example

• During the simulation, CTOP used a scripted TOS for all “participating” flights.

• These TOSs included up to 3 trajectory options, representing feasible arrival routes to LGA’s North, South and/or West gates (FCAs).

• Options were ranked by estimated flight time.

• Flight plans for “non-participating” flights defaulted to Option #1 except in Run 5 (as described in Results).

Page 14: Integrated Demand Management Findings from March 2018

14 Assurance for Increasingly Autonomous Systems April 21, 2015

March 2018 LGA Simulation: Scenario Characteristics

• Four hours of sustained demand at 40 to 43 flights/hour

• Target arrival rate is 36 flights/hour

• Heaviest demand from South, then West

• West gate is limited to 4 flights/hour

• North and South flows share remaining 32 slots

Page 15: Integrated Demand Management Findings from March 2018

15 Assurance for Increasingly Autonomous Systems April 21, 2015

March 2018 LGA Simulation: Screen Capture

Distribution by Airline of Flights included in CTOP*:

Delta: 78 flights (53%)

American: 34 flights (25%)

JetBlue: 3 flights (3%)

Southwest: 10 flights (7%)

United: 4 flights (5%)

Others: 11 flights (9%)

*Excludes exempt traffic

Page 16: Integrated Demand Management Findings from March 2018

16 Assurance for Increasingly Autonomous Systems April 21, 2015

Distribution of Inbound Flights Included in CTOP

Airline Distribution by Arrival Flow

Page 17: Integrated Demand Management Findings from March 2018

17 Assurance for Increasingly Autonomous Systems April 21, 2015

MARCH 2018: RESULTS

Page 18: Integrated Demand Management Findings from March 2018

18 Assurance for Increasingly Autonomous Systems April 21, 2015

LGA Simulation: Run Characteristics, Results Preview

Results/comparisons that will be presented:

1) No-one participates or everyone participates (Run 1, Run 2; all traffic)

2) No-one participates but FET picks route, or everyone participates (Run 5, Run 2; all traffic)

3) Outcome will vary based on who participates (Run 3, Run 4; all traffic)

4) Who benefits? Compare Delta and American results (Run 1, Run 3, Run 4; airline subset)

5) “Early adopters” impact? Compare Delta and American (Run 2, Run 3, Run 4; airline subset)

6) Airline impact depends on fleet distribution. Compare American, JetBlue, Southwest and United (Run 1, Run 4; airline subset)

Run 1. No one submits TOSs (baseline)

Run 2. All airlines submit TOSs

Run 3. Only Delta submits TOSs

Run 4. American, JetBlue, Southwest and United submit TOSs

Run 5. No one submits TOSs, but FET members choose preferred route from scripted TOS

Run Characteristics

Page 19: Integrated Demand Management Findings from March 2018

19 Assurance for Increasingly Autonomous Systems April 21, 2015

1) No one participates or everyone participates

Average Arrival Rate: 36

Total flight count: 185

Eligible flights only: 142 Total Ground Delay: 2674 min 44.6 hours

TOS-rerouted flights: 23 Flight Time increase: 298 min 5.0 hours

Ground Delay reduction: 717 min 11.9 hours

28

77

11

14

12

Flights by Assigned FCA

NorthSouthSouth (rerouted from West)WestNorth (rerouted from West)

79, 55%

62, 44%

1, 1%

0, 0%

Ground Delay Distribution

on-time

20-60 min

1-2 hours

2+ hours

18

7

30

8

2414 12

0

20

40

60

80

100

South Southfrom W

West Northfrom W

North

min

ute

s

Delay Averages by Assigned FCA

Average Flight Time IncreaseAverage Ground Delay

Run 1: ALL airlines are TOS Capable (Preliminary Run, 3/14/2018)

ALL AIRLINES

DAL

AAL

JBU

SWAUAL

Other

Average Arrival Rate: 33

Total flight count: 185

Eligible flights only: 142 Total Ground Delay: 7110 min 118.5 hours

TOS-rerouted flights: 0 Flight Time increase: 0 min 0.0 hours

Ground Delay reduction: 0 min 0.0 hours

Run 2: NO Airlines are TOS Capable (Preliminary Run, 3/14/2018)

28

77

0

37

0

Flights by Assigned FCA

NorthSouthSouth (rerouted from West)WestNorth (rerouted from West)

108, 76%

3, 2%

6, 4%

25, 18%

Ground Delay Distribution

on-time

20-60 min

1-2 hours

2+ hours

6

179

10

60

120

180

240

300

South Southfrom W

West Northfrom W

North

min

ute

sDelay Averages by Assigned FCA

Average Flight Time IncreaseAverage Ground Delay

DAL

AAL

JBU

SWAUAL

Other

ALL AIRLINES

Run 1. No one submits Trajectory Options Sets (worst case “baseline”)

Run 2. Everyone submits Trajectory Options Sets

Throughput: 36 flights/hour Ground Delay (total): 44.6 hours

TOS-reroutes: 23 flights Added flight time (total): 5.0 hours

Throughput: 33 flights/hour Ground Delay (total): 118.5 hours

Average Arrival Rate: 36

Total flight count: 185

Eligible flights only: 142 Total Ground Delay: 2674 min 44.6 hours

TOS-rerouted flights: 23 Flight Time increase: 298 min 5.0 hours

Ground Delay reduction: 717 min 11.9 hours

28

77

11

14

12

Flights by Assigned FCA

NorthSouthSouth (rerouted from West)WestNorth (rerouted from West)

79, 55%

62, 44%

1, 1%

0, 0%

Ground Delay Distribution

on-time

20-60 min

1-2 hours

2+ hours

18

7

30

8

2414 12

0

20

40

60

80

100

South Southfrom W

West Northfrom W

Northm

inu

tes

Delay Averages by Assigned FCA

Average Flight Time IncreaseAverage Ground Delay

Run 1: ALL airlines are TOS Capable (Preliminary Run, 3/14/2018)

ALL AIRLINES

DAL

AAL

JBU

SWAUAL

Other

Average Arrival Rate: 33

Total flight count: 185

Eligible flights only: 142 Total Ground Delay: 7110 min 118.5 hours

TOS-rerouted flights: 0 Flight Time increase: 0 min 0.0 hours

Ground Delay reduction: 0 min 0.0 hours

Run 2: NO Airlines are TOS Capable (Preliminary Run, 3/14/2018)

28

77

0

37

0

Flights by Assigned FCA

NorthSouthSouth (rerouted from West)WestNorth (rerouted from West)

108, 76%

3, 2%

6, 4%

25, 18%

Ground Delay Distribution

on-time

20-60 min

1-2 hours

2+ hours

6

179

10

60

120

180

240

300

South Southfrom W

West Northfrom W

North

min

ute

s

Delay Averages by Assigned FCA

Average Flight Time IncreaseAverage Ground Delay

DAL

AAL

JBU

SWAUAL

Other

ALL AIRLINES

Page 20: Integrated Demand Management Findings from March 2018

20 Assurance for Increasingly Autonomous Systems April 21, 2015

2) FET picks route, or everyone participates

Run 5. No one submits Trajectory Option Sets but FET selects route option

Average Arrival Rate: 36

Total flight count: 185

Eligible flights only: 142 Total Ground Delay: 2674 min 44.6 hours

TOS-rerouted flights: 23 Flight Time increase: 298 min 5.0 hours

Ground Delay reduction: 717 min 11.9 hours

28

77

11

14

12

Flights by Assigned FCA

NorthSouthSouth (rerouted from West)WestNorth (rerouted from West)

79, 55%

62, 44%

1, 1%

0, 0%

Ground Delay Distribution

on-time

20-60 min

1-2 hours

2+ hours

18

7

30

8

2414 12

0

20

40

60

80

100

South Southfrom W

West Northfrom W

Northm

inu

tes

Delay Averages by Assigned FCA

Average Flight Time IncreaseAverage Ground Delay

Run 1: ALL airlines are TOS Capable (Preliminary Run, 3/14/2018)

ALL AIRLINES

DAL

AAL

JBU

SWAUAL

Other

Throughput: 36 flights/hour Ground Delay (total): 44.0 hours

Alternate routes: 31 flights Added flight time (total): 6.8 hours

Average Arrival Rate: 36

Total flight count: 185

Eligible flights only: 142 Total Ground Delay: 2674 min 44.6 hours

TOS-rerouted flights: 23 Flight Time increase: 298 min 5.0 hours

Ground Delay reduction: 717 min 11.9 hours

28

77

11

14

12

Flights by Assigned FCA

NorthSouthSouth (rerouted from West)WestNorth (rerouted from West)

79, 55%

62, 44%

1, 1%

0, 0%

Ground Delay Distribution

on-time

20-60 min

1-2 hours

2+ hours

18

7

30

8

2414 12

0

20

40

60

80

100

South Southfrom W

West Northfrom W

North

min

ute

s

Delay Averages by Assigned FCA

Average Flight Time IncreaseAverage Ground Delay

Run 1: ALL airlines are TOS Capable (Preliminary Run, 3/14/2018)

ALL AIRLINES

DAL

AAL

JBU

SWAUAL

Other

Run 2. Everyone submits Trajectory Options Sets

Throughput: 36 flights/hour Ground Delay (total): 44.6 hours

TOS-reroutes: 23 flights Added flight time (total): 5.0 hours

Page 21: Integrated Demand Management Findings from March 2018

21 Assurance for Increasingly Autonomous Systems April 21, 2015

Throughput: 36 flights/hour Ground Delay (total): 52.5 hours

TOS-reroutes: 16 flights Added flight time(total): 3.3 hours

Results (3): Outcome will vary based on who participates

Run 3. Only Delta submits TOSs (53% participation)

Run 4. American, JetBlue, Southwest and United submit TOSs (40% participation)

Throughput: 36 flights/hour Ground Delay (total): 48.5 hours

TOS-reroutes: 19 flights Added flight time (total): 3.9 hours

Page 22: Integrated Demand Management Findings from March 2018

22 Assurance for Increasingly Autonomous Systems April 21, 2015

4) “Who benefits?” DELTA to AMERICAN comparison

Total Ground Delay: 17.1 hrs Added flight time: 3.3 hrs

Total Ground Delay: 16.6 hrs Run 3: Only Delta submits TOSs. (53%) north

south

west

aver

age

del

ay (

min

)

north

south

west

aver

age

del

ay (

min

)

Total Ground Delay: 34.4 hrs Total Ground Delay: 6.4 hrs Added flight time: 1.9 hrs Run 4: American,

JetBlue, Southwest and United submit TOSs. (40%)

north

south

west

aver

age

del

ay (

min

)

north

south

west av

erag

e d

elay

(m

in)

Total Ground Delay: 43.3 hrs Total Ground Delay: 33.6 hrs

DELTA AIRLINES (53%) AMERICAN AIRLINES (25%)

Run 1. No one submits TOSs.

north

south

west north

south

west av

erag

e d

elay

(m

in)

aver

age

del

ay (

min

)

Page 23: Integrated Demand Management Findings from March 2018

23 Assurance for Increasingly Autonomous Systems April 21, 2015

5) “Early adopters” impact? DELTA to AMERICAN comparison

Total Ground Delay: 17.1 hrs Added flight time: 3.3 hrs

Total Ground Delay: 16.6 hrs Run 3: Only Delta is an “early adopter” (airline that submits TOSs). (53%)

north

south

west

aver

age

del

ay (

min

)

north

south

west

aver

age

del

ay (

min

)

Total Ground Delay: 34.4 hrs Total Ground Delay: 6.4 hrs Added flight time: 1.9 hrs Run 4: American,

JetBlue, Southwest & United are “early adopters” (airline submitting TOSs). (40%)

north

south

west

aver

age

del

ay (

min

)

north

south

west av

erag

e d

elay

(m

in)

Total Ground Delay: 10.7 hrs Added flight time: 1.2 hrs

DELTA AIRLINES (53%) AMERICAN AIRLINES (25%)

Run 2. Everyone submits TOSs.

north

south

west north

south

west av

erag

e d

elay

(m

in)

aver

age

del

ay (

min

)

Total Ground Delay: 23.6 hrs Added flight time: 2.0 hrs

Page 24: Integrated Demand Management Findings from March 2018

24 Assurance for Increasingly Autonomous Systems April 21, 2015

6) Airline impact depends on fleet distribution (1 of 2)

RUN 1: No one submits trajectory options.

AMERICAN AIRLINES (25%)

north

south

west

aver

age

del

ay (

min

)

Total Ground Delay: 33.6 hrs

JETBLUE (3%)

north

south

west

aver

age

del

ay (

min

)

Total Ground Delay: 27 minutes

UNITED (5%)

Total Ground Delay: 14.3 hrs north

south west

aver

age

del

ay (

min

)

SOUTHWEST (7%)

Total Ground Delay: 21.1 hrs north

south

west

aver

age

del

ay (

min

)

Page 25: Integrated Demand Management Findings from March 2018

25 Assurance for Increasingly Autonomous Systems April 21, 2015

6) Airline impact depends on fleet distribution (2 of 2)

RUN 4: American, JetBlue, Southwest and United all submit Trajectory Options Sets

Total Ground Delay: 6.4 hrs Added flight time: 1.9 hrs

north

south

aver

age

del

ay (

min

)

AMERICAN AIRLINES (25%)

Total Ground Delay: 1.3 hrs

south

aver

age

del

ay (

min

)

JETBLUE (3%)

north west

Total Ground Delay: 1.9 hrs Added flight time: 1.3 hrs north

south

aver

age

del

ay (

min

)

SOUTHWEST (7%)

west

Total Ground Delay: 0.9 hrs Added flight time: 0.7 hrs north

south

aver

age

del

ay (

min

)

UNITED (5%)

west

Page 26: Integrated Demand Management Findings from March 2018

26 Assurance for Increasingly Autonomous Systems April 21, 2015

Results Summary

1) No-one participates or everyone participates

System performance was best when airlines participated: target throughput was achieved, and delay was reduced and redistributed.

2) No one participates but FET selects route vs. everyone participates

When FET chose preferred route the outcome was similar to full participation, however far more flights were rerouted than was necessary, resulting in ~2 hours of excess flight time.

3) Outcome will vary based on who participates

Number of participating flights, or number of participating airlines is only one factor in determining outcome. Also matters where the flights are coming from, where they are in the schedule and what options are available to them.

4) “Who benefits (more)?” Compare Delta and American outcomes

Both participating and non-participating airlines benefit when compared to the “no participation” (baseline) condition, and participating airline saw the largest benefit.

5) “Early adopters” impact? Compare Delta and American

As more airlines participate the system outcome improves, and the contrast between participants and non-participants is reduced.

6) Airline impact depends on fleet distribution.

Airlines with many flights on the constrained route benefit most.

Page 27: Integrated Demand Management Findings from March 2018

27 Assurance for Increasingly Autonomous Systems April 21, 2015

Additional Thoughts

• LGA problem really struck home for FET: role-playing seemed crucial to impact.

• Advantages of concept and CTOP itself were immediately apparent.

• Our study used pre-scripted TOSs that included feasible routes for each gate a flight might use.

• General consensus: everyone was happy when role-playing ‘early adopters’ to see others benefit, but only if they got greater benefit.

27

Page 28: Integrated Demand Management Findings from March 2018

28 Assurance for Increasingly Autonomous Systems April 21, 2015

QUESTIONS?

Page 29: Integrated Demand Management Findings from March 2018

29 Assurance for Increasingly Autonomous Systems April 21, 2015

Callsign FCA TOS

Option Flight Plan

UAL556 WEST 1 KDEN./.ZIRKL..MCK..LNK.J60.DJB..YNG..ETG.MIP4.KLGA

UAL556 SOUTH 2 KDEN./.PER..RZC..ARG.J46.BNA.J42.BKW.J42.GVE.KORRY4.KLGA

UAL556 NORTH 3 KDEN./.BRYCC..TAYOT..DAYYY..RUBKI..SIKBO..TULEG..RKA.HAARP3.KLGA

UAR4314 WEST 1 KCLE./.FAILS..JFN..ETG.MIP4.KLGA

UAR4314 NORTH 2 KCLE./.FAILS..ERI..JHW..MEMMS..WILET..RKA.HAARP3.KLGA

UAR5706 WEST 1 KORD./.MOBLE..ADIME..GERBS.J146.ETG.MIP4.KLGA

UAR5706 NORTH 2 KORD./.HANKK..EXTOL..RKA.HAARP3.KLGA

UAR5706 SOUTH 3 KORD./.EARND..ELANR..EMMLY..ERECO..IIU.J526.BKW.J42.GVE.KORRY4.KLGA

UAR6256 SOUTH 1 KIAD./.AGARD.KORRY4.KLGA

Main carrier regional

flights are identified

by an R in the call

sign. UAL = UAR

Original FCA

TOS List Sample