27
Fast-Time Modeling at the Federal Aviation Administration Joseph Post, Office of NAS systems Engineering & Integration November 2017

Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

  • Upload
    others

  • View
    0

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Fast-Time Modeling at theFederal Aviation AdministrationJoseph Post, Office of NAS systems Engineering & IntegrationNovember 2017

Page 2: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Essentially, all models are wrong, but some are useful.

George E. P. Box and Norman R. Draper,Empirical Model-Building and Response Surfaces, 1987.

2

Page 3: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Uses of Fast-Time Models at FAA

• Air Traffic Management Cost/Benefit Analysis

• Capital investments• Rulemaking

Concept of Operations Evaluation Alternatives Analysis

• Airports Capacity Analysis

• Runway and taxi-way closures, new construction• Revised procedures (e.g., LAX)• Slot Analysis

• Environmental Analysis Noise Emissions (CO2, SOX, NOX, particulates) Fuel Burn

3

Page 4: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Aviation Environmental Design Tool (AEDT)

FAA’s Principal Fast-Time Models

Global Oceanic Model(GOM)

System-Wide Analysis Capability(SWAC) AirTOp

Airfield Delay Simulation Model(ADSIM+)

4

Page 5: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

System-Wide Analysis Capability• FAA's fast-time NAS-wide model• Discrete-event queuing model• Integrated demand and trajectory generation• Platform independent• Multi-processing architecture

5

Page 6: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

SWAC Integrated Modeling Framework

6

TrajectoryModel

Aircraft Performance

FutureScheduleGenerator

ORD Forecast Operations

0

200,000

400,000

600,000

800,000

1,000,000

1,200,000

1,400,000

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

Fiscal Year

Tota

l Ann

ual

Ope

ratio

ns

Operations Forecast

Fleet Forecast

ETMS Data

0

10

20

30

40

50

60

70

80

4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Local Hour

Ope

ratio

ns (/

15 m

in. e

poch

)

2007 Baseline Cap 2015_Baseline 2015-Trimmed

UnconstrainedSchedules

0

20

40

60

80

100

120

140

0 20 40 60 80 100 120

Departures (/hr)

Arr

lival

s (/h

r)VMCMMCIMC

Airport Capacities

0

10

20

30

40

50

60

70

80

4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Local Hour

Ope

ratio

ns (/

15 m

in. e

poch

)

2007 Baseline Cap 2015_Baseline 2015-TrimmedIndustry/RegulatorResponse

ConstrainedSchedules

QueuingModel

Sector Capacities

0

500

1,000

1,500

2,000

2,500

3,000

3,500

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

Num

ber o

f Airc

raft

Delay Fuel

Weather

Page 7: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

NAS Resources Represented by SWAC

7

Domestic Airspace Airports

Oceanic Airspace Arrival/Departure Fixes& Restrictions

Page 8: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Aircraft Trajectory Representation

• Waypoints / cruise alt. Traffic Flow Management System (TFMS) flight plan Historical final cruise altitude data (TFMS TZ)

• Arrival/departure procedures SIDs/STARs appended to trajectories

for specified airports Approach Procedures also appended Includes altitude restrictions Aircraft type/equipage can be used

• Weather data NCEP/NCAR Global Reanalysis Model LAMP En Route convection forecast METAR surface weather observations TAF surface weather forecasts

• Aircraft performance Eurocontrol BADA 3.12+ 4D trajectory computed at 5 nmi intervals

8

Page 9: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

• Represent maximum sustainable arrival-departure combinations at 310 airports

• Adjusted for: Anticipated NextGen improvements Anticipated runway extensions and additions Meteorological conditions (e.g., VMC, IMC)

• Curves created for all years out to 2025 and beyond

9

Airport Capacity Pareto Curves

Guam

Page 10: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Rerouting• Two-dimensional re-routing to avoid weather polygons, Special Activity Airspace

(SAA), or regions of system outages• User specifies

Polygons Active times Look-ahead times

10

Page 11: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Oceanic ModelingSWAC represents two oceanic effects: in trail spacing and step climb blocking• In trail (i.e., longitudinal) spacing is imposed at entry to oceanic airspace

Restrictions are 60 nmi in length, 1,000 ft. in height Restrictions are sensitive to aircraft equipage (spacing can vary) Approx. 6,400 restrictions are currently being used

• Step climbs requested in oceanic airspace as demanded by flight performance model A probabilistic model is used to determine if climb is conflict free

• Probability determined by traffic density and separation standard A blocked flight is forced to fly at suboptimal altitude until that flight can “try again”

to request a climb

11

Page 12: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Surface Modeling

The surface model is a sequence of queues and transits:

Taxi-In queues• Airport-specific congestion-based taxi-in times• Ramp queues

At Gate queues• Airport, aircraft type, and airline-specific

turnaround times• Queues to check adherence to scheduled times

and EDCT• Gate holding queue for Departure Flow

Management

Taxi-Out queues• Ramp queues• Airport-specific congestion-based taxi-in times• Queue to check adherence to EDCT• Queue at runway for take-off

12

Page 13: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Traffic Flow Management (TFM)• Strategic TFM

Ground Delay Program (GDP) generator• Imposes GDPs and assigns Expected Departure

Clearance Times (EDCTs) Weather-dependent airport capacities Ration By Schedule (RBS)

» Distance-based exemptions» International exemptions

Traffic Flow Management System (TFMS) generator• Imposes EDCTs based on excessive predicted airborne

delay Dynamic framework

• TFM slot assignments revised based onsimulation state

• User-specified update interval Excessive EDCT delay may result in flight

cancellations• Tactical TFM

Traffic metered to terminal airspace based on arrival queue length

User specifies queue length to start and stop metering

13

Page 14: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Virginia Tech Global Oceanic Model (GOM)

• FAA has partnered with Virginia Tech to develop a mathematical model of oceanic operations

• Broadly applicable to oceanic airspace• Implemented using Matlab, compiled for Windows OS• Implements Eurocontrol BADA aircraft performance model

Individual aircraft are flown from origin to destination along specified flight paths

Aircraft request climbs as fuel is burned off• Pair-wise separation minima are enforced for specified oceanic

airspace “Strategic” conflict resolution prior to entering oceanic airspace “Tactical” conflict resolution within oceanic airspace

• Current uses: U.S. Advanced Surveillance Advanced Procedural Separation (ASEPS)

Separation cost-benefit analysis ICAO North Atlantic data link mandate and Space-Based ADS-B cost-

benefit analyses U.S. Caribbean initiative

14

Page 15: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Global Oceanic Model

Time-stepNumerical Simulation

42 Commercial andCorporate AircraftModeled

Los Angeles - Auckland

Great Circle Route

User PreferredRoute (UPR)

TFMS Flight Plan Data

•Flight Planning Module

BADA Model(3.13.1 and 4.0)

15

Page 16: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Strategic and Tactical Conflict Algorithms

Tactical conflict logicchecks for conflictsahead as the aircraft approach others

Strategic conflict logicchecks for conflicts1-2 hours ahead asaircraft enters oceanicairspace

Conflict resolution rules for OTS flights: a) Mach number controlb) Variable headway controlc) Climbs inside OTS

Conflict resolution rules for non-OTS flights: a) Change flight levelb) Change Mach

numberc) Change route

16

Page 17: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

OTS Track Assignment Logic• The track assignment module assigns flights to NAT OTS and

random tracks based on their relative costs compared to an optimal track selected as preferred alternative

• Flights are assigned to a track considering competing flights requesting the same track

OTS flight assignment method is performed concurrently as the simulation executes

Flight Plan Changes• Necessary when a flight approaches the OTS entry point• Use of variable Mach number headway rules in OTS assignment

Organized TrackSystem (OTS)

Individual climbs allowed inside the OTS if gaps exists

17

Page 18: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Multiple Airspace Volumes• GOM can now represent multiple airspace volumes with different separation

standards.• This capability was recently used to study Caribbean airspace.

14 FIRs were represented.

18

•Mexico and Piarco included to account for South American flights to Europe and North America

Page 19: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Air Traffic Optimization (AirTOp)

• AirTOp High-fidelity Agent-based Gate-to-Gate

• Simulation Capabilities EnRoute & TRACON Ground Operations Traffic Flow Management

• Arrival/Departure Management

Conflict Resolution Controller Workload

• Developed by AirTOpsoft• http://airtopsoft.com/

19

Page 20: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

ADSIM+ Concept of Use

• ADSIM+ is discrete-event Monte Carlo simulation capable of modeling current and future concepts of terminal area operations (including Metroplex)

20

Final approach fix

Terminal Area Boundary

• ADSIM+ has two modes of operations:○ Delay (output is a standard set of delay statistics)○ Airport Runway Capacity (output is a capacity envelope)

• Includes an aircraft performance model (BADA-based) to represent terminal area operations

• The user will be able to identify terminal area trajectories, assign aircraft to the trajectories, and provide separation rules

•Terminal Area Boundary

•Final Approach Fix

Page 21: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

ADSIM+ Data Requirements• Airport Layout: Runways, Taxiways, Gates, Waypoints, Routes• Historical Configuration Distributions• Runway Usage

Exit choice by aircraft type Occupancy time by aircraft type and exit choice

• Taxi Paths From each gate to each runway entrance From each runway exit to each gate

• Fleet Makeup• Wake Vortex Separation Rules (Aggregation Required)• Runway Separation Rules (Aggregation Required)• Aircraft Data

Aircraft Length and Wingspan BADA data (for departure runway occupancy times & terminal performance)

• ATC Rules Buffers Dependent Separations (Wake Vortex & Runway)

21

Page 22: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Convert FAA Data Files to Model Data

22

AIXM Data to Airport Layout

Airfield Taxi Paths,Runway Exit Choice, and

Runway Occupancy Times

Page 23: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Aviation Environmental Design Tool (AEDT)Features• Computes noise, fuel burn,

emissions, and air quality• Able to conduct analyses

at airport, regional, national, and global scales

• Replaces NIRS, EDMS,SAGE, INM and MAGENTA

Applications• Air space and airport design and planning (e.g., National

Environmental Policy Act reviews)• International Civil Aviation Organization (ICAO) Committee on Aviation

Environmental Protection (CAEP) analyses• Assessing benefits from introducing NextGen and new aircraft and

engine technologies (e.g., from FAA CLEEN and NASA Programs)

23For more information on AEDT or to download it, please visit: https://aedt.faa.gov/

AEDT

Page 24: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

AEDT Modeling Process Overview

24

Page 25: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Current Performance Model

25

Page 26: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Questions?

26

Page 27: Fast-Time Modeling at the Federal Aviation Administration · SWAC Integrated Modeling Framework. 6. Trajectory. Model. Aircraft Performance. Future. Schedule. Generator. ORD Forecast

Challenges for Modelers

Why? Complexity Responsiveness Openness Validation

Our models are generally not used to inform decisions!

27