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Work Hard. Fly Right. SM

Benefits of Data Sharing. Captain Don Gunther Staff Vice President Safety. Work Hard. Fly Right. SM. Benefits of Data Sharing. Data sharing produces sound analysis to target emerging safety threats and prioritize and effective interventions to reduce undesirable events from occurring.

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Work Hard. Fly Right. SM

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  1. Benefits of Data Sharing Captain Don Gunther Staff Vice President Safety Work Hard. Fly Right. SM

  2. Benefits of Data Sharing • Data sharing produces sound analysis to target emerging safety threats and prioritize and effective interventions to reduce undesirable events from occurring. • Additional data sharing benefits are: • Data Fusion • Combining information resources creates a more accurate picture of how aircraft operations, air traffic procedures, and national policies interact. • Data Driven Decision Making • Complete and accurate data enable better issue analysis and sound decision-making. • Data driven investment and resource allocation decisions.

  3. A collaborative Government and Industry initiative on datasharing & analysisto proactively discover safety concerns before accidentsor incidents occur, leading to timely mitigationand prevention. What is ASIAS…. 3

  4. ASIAS is Governed by Formal Principles Sensitive data is de-identified Analyses approved by an ASIAS Executive Board Non-punitive reporting Data used solely for advancement of safety Data protected and aggregated

  5. Types of Proactive Safety Analyses Directed Studies Known Risk Monitoring Safety Enhancement Assessment Vulnerability Discovery Benchmarking Operations A Collaborative FAA-Industry ASIAS Executive Board (AEB) Provides Guidance and Oversight 5

  6. ASIAS PARTNERS Federal Aviation Administration National Aeronautics and Space Administration Airline Pilots Association National Air Traffic Controllers Association United States Air Force Safety Center Aerospace Industries Association Air Transport Association Boeing AirTran Airways Alaska Airlines American Airlines American Eagle Atlantic Southeast Airlines Chautauqua Airlines CitationAir Colgan Air Comair CommutAir Compass Airlines Continental Airlines Delta Airlines Empire Airlines ExpressJet Frontier Airlines GoJet Airlines Gulfstream International Airlines Hawaiian Airlines JetBlue Airways Miami Air International Piedmont Airlines Pinnacle Airlines Republic Airlines Shuttle America SkyWest Airlines Southwest Airlines Sun Country Airlines Trans States Airlines United Airlines United Parcel Service US Airways 32 Airline Partners as of 9 August 2010

  7. Data Sources Supporting ASIAS Studies • ASAP • FOQA • ATSAP • Manufacturers data • Avionics data • Traffic Management Reroutes and Delays • Airport Configuration and Operations • Sector and Route Structure • Procedures • Surveillance Data forEn Route, Terminal and Airport ATC Information Proprietary Data Safety Data • Aviation Safety Reporting System • Runway Incursion • Surface Incident • Operational Error / Operational Deviation • Pilot Deviation • Vehicle or Pedestrian Deviation • National Transportation Safety Board • FAA Accident/Incident Data System • FAA Service Difficulty Reports Other Information • Bureau of Transportation Statistics • Weather / Winds • Terrain 7

  8. Data Fusion provides Valuable Insights to Future Threats (Precursors) Safety Event Focus Source: FOQA and ASAP Terrain Source: National Elevation Data Traffic Tracks Source: FAA National Offload Program Minimum Vectoring Altitudes Source: Air Traffic Control Airport & Airspace Procedures Source: Air Traffic Control

  9. TAWS Alert Mitigation Strategy • Near Term: • Use of RNAV/RNP and other procedures to reduce unnecessary terrain alerts and to provide better separation from terrain • Evaluate Minimum Vectoring Altitude (MVA) in relation to terrain and traffic flows in high-terrain airports • Longer term: • Having GPS + Software Version 218 or greater reduces unwarranted warnings when the aircraft is not in imminent danger • Increases the effectiveness of EGPWS alerting during approach phase

  10. Data Fusion • Combining information resources creates a more accurate picture of how aircraft operations, air traffic procedures, and national policies interact. RAIDR Arrival OAK RWY 11 Berkeley Hills Mt. Diablo SFO ILS 19 SFO RWYs 10

  11. Data Driven Decision MakingComplete and accurate data enable better issue analysis and sound decision-making.

  12. Effective InterventionsCan be implemented to prevent undesirable events EGPWS Mode-2 Pull Ups – Pre 218 EGPWS Mode-2 Pull Ups – Post 218 (about 20X Less Frequent)

  13. Vision Key aviation stakeholders acting cooperatively to lead the world-wide aviation community to the highest levels of global commercial aviation safety by focusing on the right things. Mission Enable a continuous improvement framework built on monitoring the effectiveness of implemented actions and modifying actions to achieve the goal. Goal Reduce the US commercial aviation fatal accident rate 80% by 2007. And Maintain a continuous reduction in fatality risk in US and International commercial aviation beyond 2007. Commercial Aviation Safety Team (CAST)

  14. CAST brings key stakeholders to cooperatively develop & implement a prioritized safety agenda Industry Government AIA Airbus ALPA APA ATA IFALPA NACA Boeing GE* RAA FSF • DOD • FAA • Aircraft Certification • Flight Standards • System Safety • Air Traffic Operations • Research • NASA • ICAO** • EASA (ECAST) • TCC • NATCA** • NTSB** Commercial Aviation Safety Team (CAST) IATA** AAPA** ATAC** APFA** * Representing P&W and RR ** Observer

  15. ASIAS Results Combined with CAST Implementation Can Inform Resource Cost Versus Risk Reduction 100% 10000 Risk Reduction APPROVED PLAN $ 9000 Total Cost in $ (Millions) 8000 75% 7000 6000 $ Risk Eliminated by Safety Enhancements 50% 5000 Resource Cost ($ Millions) 2007 2020 4000 3000 25% 2000 $ 1000 $ $ 0% 0 All JSIT Proposed Enhancements (2020 Implementation Level) Completed Completed + Plan (2020 Implementation Level) Completed + Plan (2007 Implementation Level)

  16. Areas to Consider • Ensure that findings from safety programs such as CAST and ASIAS be used in conjunction with NextGen and other Airspace programs to prioritize performance based navigation (PBN) solutions and Airspace re-design procedures to address Tactical safety issues such as TAWS, TCAS and un-stabilized approaches. • Ensure that collaborative Government and Industry prognostic data analysis and sharing programs have established long term funding streams and be accelerated to provide benefit to the flying public. • Government & Industry programs such as CAST and ASIAS should serve as the model for programs in other segments of the Aviation community • Ensure protection for voluntarily supplied safety information

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