Development and Validation of Simulation Metrics FAA-EUROCONTROL Technical Interchange Meeting Performance Metrics in Air Traffic Management Toulouse,

Slides:



Advertisements
Similar presentations
Requirements Engineering Processes – 2
Advertisements

1
Author: Julia Richards and R. Scott Hawley
UNITED NATIONS Shipment Details Report – January 2006.
Standard Flow Abstractions as Mechanisms for Reducing ATC Complexity Jonathan Histon May 11, 2004 M I T I n t e r n a t i o n a l C e n t e r f o r A i.
Steve Zaidman, AAF-1 George Sakai, ASR-1 Federal Aviation Administration Washington, DC September 16, 2003 There are no benefits to compromising safety…only.
Don Willis Federal Aviation Administration Washington, DC March 30, 2004 There are no benefits to compromising safety…only dire consequences Assessment.
1 PHARE Operational Scenarios J-P. Nicolaon, Operational Task Force Chairman EUROCONTROL Experimental Centre.
1 PHARE Demonstrations Overview of Results Marc Bisiaux PD/3 Project Leader Eurocontrol Experimental Centre.
1 NAS Performance and Analysis: The Role of the Airspace Laboratory Airspace Laboratory May 2002 Toulouse, France.
© 2001 The MITRE Corporation Document Number Here Traffic Flow Management Impact Assessment Research TFM Technical Interchange Meeting 31 October 2001.
October 31, Metron Aviation, Inc. Dan Rosman Assessing System Impacts: Miles-in-Trail and Ground Delays.
FAA / Eurocontrol TFM/CDM Technical Interchange Meeting
1 NEXTOR Monitoring and Modeling NAS Performance at the Daily Level Mark Hansen Performance Metrics TIM May 2002.
Schedule Delay Initial Delay Crews Gate Space Aircraft Passengers Propagates into Large Delay.
One Sky for Europe EUROCONTROL © 2002 European Organisation for the Safety of Air Navigation (EUROCONTROL) Page 1 FAA/Eurocontrol Technical Interchange.
1 Performance indicators, targets, steering Technical Interchange meeting Toulouse, May 2002 Xavier FRON Head Performance Review Unit.
CALENDAR.
Airspace Volumes and Sectorisation Good Design Practice Airspace Volumes and Sectorisation Good Design Practice 1.
© 2010 The MITRE Corporation. All Rights Reserved. Sector Capacity Prediction for Traffic Flow Management Lixia Song April 13 th, 2010.
REVIEW: Arthropod ID. 1. Name the subphylum. 2. Name the subphylum. 3. Name the order.
PP Test Review Sections 6-1 to 6-6
By: Tony Diana, Date: September 19, 2005 File: apo130\ASPMDocs\ASPM Presentation 05.ppt Federal Aviation Administration Presentation of the.
George Mason University Transportation Lab Air Transportation System Limitations, Constraints and Trends George L. Donohue March 19-20, Wye Woods Conference.
Modeling Airport Capacity
Nationaal Lucht- en Ruimtevaartlaboratorium National Aerospace Laboratory NLR DXXX-1A AI Planning at airports:Departure Management PLANET Industry Day.
Discrete Event (time) Simulation Kenneth.
Copyright © 2012, Elsevier Inc. All rights Reserved. 1 Chapter 7 Modeling Structure with Blocks.
Factor P 16 8(8-5ab) 4(d² + 4) 3rs(2r – s) 15cd(1 + 2cd) 8(4a² + 3b²)
Basel-ICU-Journal Challenge18/20/ Basel-ICU-Journal Challenge8/20/2014.
© 2012 National Heart Foundation of Australia. Slide 2.
MaK_Full ahead loaded 1 Alarm Page Directory (F11)
Airport Collaborative Decision Making (A-CDM) Saulo Da Silva
Functional Areas & Positions
Model and Relationships 6 M 1 M M M M M M M M M M M M M M M M
Subtraction: Adding UP
Analyzing Genes and Genomes
©Brooks/Cole, 2001 Chapter 12 Derived Types-- Enumerated, Structure and Union.
Converting a Fraction to %
PSSA Preparation.
Select a time to count down from the clock above
NY/NJ/PHL Metropolitan Area Airspace Redesign Implementation Update Presentation to: Eastern Region Aviation Weather Conference By: Don Castonguay Air.
Ames Research Center 1October 2006 Aviation Software Systems Workshop FACET: Future Air Traffic Management Concepts Evaluation Tool Aviation Software Systems.
1 FAA Aviation Forecasts Fiscal Years Presented at the 30 th Annual FAA Aviation Forecast Conference By Robert L. Bowles Manager, Statistics.
MIT Lincoln Laboratory Evans benefits ARAM1 jee 6/4/2015 Assessment of Aviation Delay Reduction Benefits for Nowcasts and Short Term Forecasts James Evans.
Federal Aviation Administration FOR OFFICIAL USE ONLY (Public availability to be determined under 5USC 552) Data Communications Program DCL Benefits Modeling.
NAS Acquisition Programs
Exploring Control Strategies in ATC: Implications for Complexity Metrics Jonathan Histon & Prof. R. John Hansman JUP Meeting, June 21-22, 2001.
A Perspective on NASA Ames Air Traffic Management Research Jeffery A. Schroeder Federal Aviation Administration* * Formerly NASA Ames.
An Automated Airspace Concept for the Next Generation Air Traffic Control System Todd Farley, David McNally, Heinz Erzberger, Russ Paielli SAE Aerospace.
LMINET2: An Enhanced LMINET Dou Long, Shahab Hasan December 10, 2008.
Presented to: NAS-Wide Simulation Workshop By: Kimberly Noonan, FAA NextGen and Ops Planning Date: January 28, 2010 Federal Aviation Administration NextGen.
Introducing Structural Considerations Into Complexity Metrics Jonathan Histon, MIT R. J. Hansman, MIT JUP Quarterly Review Meeting Princeton University.
1 ATM System Wide Modeling Capabilities in Fast-Time Simulation 1 st Annual Workshop – NAS-Wide Simulation in Support of NextGen Dec. 10th – George Mason.
F066-B © 2008 The MITRE Corporation. All rights reserved. MITRE-CAASD’s systemwideModeler State and Near-Term Plans Pete Kuzminski 10 December 2008.
F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 1 Federal Aviation Administration System Airport.
Harris.com Alex Murray | DCIS Benefits Lead DCIT Brief Data Comm Benefits & Metrics Alignment with DC Program, NIWG, & NAC.
Ames Research Center 1 FACET: Future Air Traffic Management Concepts Evaluation Tool Banavar Sridhar Shon Grabbe First Annual Workshop NAS-Wide Simulation.
F066-B Public Release No.: © 2010 The MITRE Corporation. All rights reserved. Demand Generation for System-wide Simulation Glenn Foster MITRE.
EUROCONTROL European Organisation for the Safety of Air Navigation.
COLLABORATIVE DECISION MAKING
Presented to:GMU System-Wide Modeling Workshop By: Joseph Post, ATO NextGen & Ops Planning Date: 10 December 2008 Federal Aviation Administration FAA System-Wide.
Using Simulation in NextGen Benefits Quantification
FAA Support for DoD’s UAS AI Joint Test Joint University Program (JUP) TIM Al Schwartz, Modeling and Simulation Branch, ANG-C55 January 21, 2016.
NY/NJ/PHL Metropolitan Area Airspace Redesign Project and Implementation Update Presentation to: Congressional Staffers By: Steve Kelley, Airspace Redesign.
NY/NJ/PHL Metropolitan Area Airspace Redesign Record of Decision (ROD) Announcement Congressional Briefing Name: Steve Kelley Date: September 5, 2007 Federal.
Metron, Inc. 12/7/19991 RTO-37: En route User Deviation Assessment Mark Klopfenstein* Phil Smith** Dennis Gallus* Roger Chapman** Christine Lambert* Jodi.
Federal Aviation Administration Integrated Arrival/Departure Flow Service “ Big Airspace” Presented to: TFM Research Board Presented by: Cynthia Morris.
FAA Air Traffic Organization (ATO)
Presentation transcript:

Development and Validation of Simulation Metrics FAA-EUROCONTROL Technical Interchange Meeting Performance Metrics in Air Traffic Management Toulouse, France May 2002 Amanda Stott Patricia Massimini

2 En Route Congestion Enroute Intersections At or above FL270

Terminal Area Delays Annual

4 Airspace Redesign Approach Define New Airspace Configuration Map Out Sectors and Routes Analyze Alternative Airspace Configuration Identify and Characterize Problem Areas Test with Controllers

Tools for Airspace Redesign IDATIntersect Density Analysis Toolset CRCTCollaborative Routing Coordination Tool DPATDetailed Policy Assessment Tool EACMEnhanced Airfield Capacity Model NIRSNoise Integrated Routing System MapInfo NASPACNational Airspace System Performance Analysis Capability SDATSector Design and Analysis Tool TAAMTotal Airspace and Airport Modeller TRACSTraffic Reroute and Analysis Capability System TARGETSTerminal Area Route Generation, Evaluation and Traffic Simulation SIMMOD RSATSRecombinant Sector Analysis Tool Suite CAASD ArcViewESRI CAASD FAA / Metron MapInfo Corp. CAASD FAA Preston CAASD ATAC CAASD RAMS PlusReorganised ATC Mathematical SimulatorISA Software INMIntegrated Noise ModelFAA Simulation Tools for Airspace Redesign

Throughput –Peak and average runway and airport usage Metrics from Simulation

Throughput –Peak and average runway and airport usage Delays –Arrival and departure, ground and enroute Metrics from Simulation Cumulative

Throughput –Peak and average runway and airport usage Delays –Arrival and departure, ground and enroute User impacts –Miles traveled Metrics from Simulation

Throughput –Peak and average runway and airport usage Delays –Arrival and departure, ground and enroute User impacts –Miles traveled Workload –Sector loading Metrics from Simulation

Throughput –Peak and average runway and airport usage Delays –Arrival and departure, ground and enroute User impacts –Miles traveled Workload –Sector loading –Conflicts Metrics from Simulation

Throughput –Peak and average runway and airport usage Delays –Arrival and departure, ground and enroute User impacts –Miles traveled Workload –Sector loading –Conflicts –Visualization Metrics from Simulation Others as determined by study team –Communications loading –Point outs Throughput –Peak and average runway and airport usage Delays –Arrival and departure, ground and enroute User impacts –Miles traveled Workload –Sector loading –Conflicts –Visualization

12 FAA Operational Data Traffic –Current traffic: OAG, ETMS, SAR, ARTS –Future traffic: airport authority, major carriers, ATA, FAA TAF, EIS, future traffic models Operations –OPSNET, ASPM Delays, taxi-out and taxi-in times, throughput, interarrival and interdeparture times –ASPM, ASQP Safety –Operational errors / operational deviations Traffic flow management actions –Miles in trail –Ground stops, ground delay programs

Degree of Correspondence Between Simulation Results and Operational Data Operational errors Operational deviations Vectoring Traffic flow management actions Operational Data Arrival delay, taxi out… Times for every aircraft and controller action Location and time of loss of separation if no controller action Altitudes Taxi-out times Delays Interarrival times Interdeparture times Runway throughput Simulation

14 Calibration and Validation Arrival Rates Number of Annual Arrival Pushes at Specified Rate Typically, will calibrate baseline operations –Runway arrival and departure rates

15 Calibration and Validation Typically, will calibrate baseline operations –Runway arrival and departure rates –Interarrival or interdeparture times Time Between Operations (minutes) Percent of Total Traffic ARTS Simulated results

16 Calibration and Validation Typically, will calibrate baseline operations –Runway arrival and departure rates –Interarrival or interdeparture times –Departure altitudes FT FT FT FT Typically, will calibrate baseline operations –Runway arrival and departure rates –Interarrival or interdeparture times –Departure altitudes –Taxi-out or taxi-in times –Delays Validation –Visual with controllers –Analysis of summary statistics

Example: Detroit Terminal and Cleveland En Route Airspace

CVG MSP ORD MDW STL PIT CLE DFW MEM ATL CLT BWI IAD DCA PHL EWR LGA JFK BOS DTW

Issues at ZOB and DTW Use of new runway for triple arrivals 22L 22R 21R 21L

Issues at ZOB and DTW Use of new runway for triple arrivals New arrival and departure routes and relief of MIT

DTW Issues at ZOB and DTW Use of new runway for triple arrivals New arrival and departure routes and relief of MIT Relief of congested enroute airspace Use of new runway for triple arrivals New arrival and departure routes and relief of MIT Relief of congested enroute airspace Impact on ground operations

Traffic Schedule 22 Departures Arrivals

Simulated Arrival Throughput 23 Triple Arrivals Dual Arrivals

24 $24 million per year with PRM and new procedures Effect of Triple Arrivals on Delay Applies only to IMC, MIT enforced 16% 49%

South restrictions (15-20 MIT) East restrictions (15-20 MIT) No restrictions Miles in Trail Restrictions on DTW Departures

26 Relieving MIT Departure Restrictions Reroute flows and decrease sector complexity Add departure routes

27 $24 million per year with new routes and new sectors Effect of MIT Restrictions on Departure Delay

En Route Redesign to Support Relief of Departure Restrictions 103 reroute sets defined, more than 1300 flights per day Before After 28

Approach for Analysis of En Route Redesign SDAR--No Reroute MapInfo to select and visualize reroutes Before After 29 Rerouted trajectories + Nonrerouted SAR tracks URET and SDAT to generate metrics SDAT Viewer to visualize traffic flows EXCEL to analyze and display results Altitude restrictions + Adaptation data URET restriction builder and trajectory model Custom tool to insert rerouted flight plans

30 Results of Analysis of Redesign: Max 15-Minute Sector Counts < 80% MAT 80% MAT - 100% MAT > 125% MAT 100% MAT - 125% MAT

31 Results of Analysis of Redesign: Hourly Sector Counts < 50/hour 51-60/hour >70/hour 61-70/hour

32 Results of Analysis of Redesign: Difference in Sector Counts Before and After Reroutes No change in sector count Sector count decrease Sector count increase

33 Results of Analysis of Redesign: Individual Sector Behavior Notional results Monitor Alert Parameter After Reroute Before Reroute

Results of Analysis of Redesign: Visualization of Flows

Ground Flow Analysis to Support New Runway and Triple Arrivals 35 Identified chokepoints and developed new ground routes

36 Concept Dependencies Ability to simulate is concept dependent Simulation tools may not be able to deliver all required metrics Alt 1 Alt 2 Alt 3