Examining Operations Coupling Autoflight To ADS-B Targets In High Traffic Density Rachel Haga Amy Pritchett, Ph.D. DASC 2014.

Slides:



Advertisements
Similar presentations
© DLR, Institute of Flight Guidance ASAS Thematic Network 2 nd Workshop 6-8 October 2003 – Malmö Session 1 – ATSA Application Track Bernhard Czerlitzki.
Advertisements

Nationaal Lucht- en Ruimtevaartlaboratorium National Aerospace Laboratory NLR CXXX-1A Free Flight with Airborne Separation will result in an uncontrolled,
C ENTRE D'ETUDES DE LA NAVIGATION AERIENNE ASAS-TN, 2nd workshop - Malmö 6 ~ 8 october 2003page 1 Electronic separation Clearance Enabling the Crossing.
Modeling Conflicts of Multiple Independent Alerting Systems Lixia Song James K. Kuchar Massachusetts Institute of Technology.
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 r T r a n s p o r t a t i o n Influence of Structure on Complexity Management Strategies of Air Traffic.
Runway Incursion’s Affect on FAA Approved Pilot Training and Pilot and Flight Instructor Certification and Part 121 Pilot Checking – Andy Edwards – Manager.
1 Federal Aviation Administration Data Communications FAA NextGen Data Communications exhibit and FAA NextGen air traffic control simulators (left) at.
Applications from packages I to III
On the Impact of Delay on Real-Time Multiplayer Games Authors: Lothar Pantel, Lars C. Wolf Presented by: Bryan Wong.
Standard Terminal Arrival Routes STARs
SIG Center for Computer Graphics Pragbot 2.0 Moving Pragbot Language Interactions Toward More Realistic Situations Oct 2009 Review Chris Czyzewicz, Norm.
System Management Network Environment Vehicle Characteristics Traveler Characteristics System Traveler Influencing Factors Traveler: traveler characteristics,
Air Traffic Control How Air Traffic is Coordinated © 2011 Project Lead The Way, Inc.Aerospace Engineering.
Authors: Amy R. Pritchett, Scottie-Beth Fleming Presented by: Rachel A. Haga Cognitive Engineering Center, Georgia Tech 32 nd DASC, Oct. 9, 2013 Pilot.
3/20/08 Smart Skies TM National Aeronautics and Space Administration A Presentation for Museum Docents/Trainers Preparing to Lead NASA Air Traffic Control.
Methodology for Architectural Level Reliability Risk Analysis Lalitha Krothapalli CSC 532.
Page 1 CARE/ASAS Activity 3: ASM workshop Brétigny, 19 December 2001 Time-Based Sequencing OHA CARE-ASAS Activity 3: ASM Time-Based Sequencing OHA.
Design of Cooperative Vehicle Safety Systems Based on Tight Coupling of Communication, Computing and Physical Vehicle Dynamics Yaser P. Fallah, ChingLing.
Elizabeth “Scottie-Beth” Fleming Committee Members: Dr. Amy Pritchett, Chair Dr. Karen Feigh Dr. Ute Fischer Sponsored by the FAA, Tom McCloy as Technical.
1/14 Development and Evaluation of Prototype Flight Deck Systems for Distributed Air-Ground Traffic Management ASAS Thematic Network - Workshop 3 Toulouse,
Cirrus Transition Course
© 2003 The MITRE Corporation. All Rights Reserved. Cockpit Display of Traffic Information (CDTI) Enhanced Flight Rules (CEFR) Randall Bone October 7, 2003.
Advanced Speed Guidance for Merging and Sequencing Techniques Chris Sweeney,
Presented to: Instructors and Pilot Examiners By: The FAASTeam Date: July 1 to September 30, 2012 Federal Aviation Administration Downloaded from
1 Constant Following Distance Simulations CS547 Final Project December 6, 1999 Jeremy Elson.
Presented to: Orlando Florida Flying Community By: The FAASTeam - Dennis H. Whitley Date: December 9, 2010 Federal Aviation Administration FAASTeam Orlando.
A FLIGHT INSTRUCTORS GUIDE FOR SOLOING A STUDENT PILOT.
Conducting Situated Learning in a Collaborative Virtual Environment Yongwu Miao Niels Pinkwart Ulrich Hoppe.
ASAS FRA OB/T ATM Projects Lufthansa point of view.
FAA System-Wide Information Management Program Overview for SWIM-SUIT Public Lauch Donald Ward Program Manager FAA SWIM Program April 2007.
By: Date: Federal Aviation Administration Surveillance and Broadcast Services November 12, 2008 Merging and Spacing Enabling Continuous Descent Arrivals.
2 nd ASAS-TN2 Workshop - Rome, 4 th April 20061/13 Civil-Military cooperation as a key factor in ASAS implementation Italian Air Force (IAF) Ltc. Maurizio.
Advanced Speed Guidance for Merging and Sequencing Techniques Chris Sweeney Thomas Jefferson High School for Science and Technology MITRE Corporation Center.
Ecological Interface Design in Aviation Domains Improving Pilot Trust in Automated Collision Detection and Avoidance Advanced Interface Design Laboratory.
RECITE A PRAYER…(15 SECONDS). ATM TOPIC 1. INTRODUCTION TO AIR TRAFFIC MANAGEMENT,TYPE OF CONTROL AREAS & FLIGHT PLAN 2. AERODROME CONTROL 3. AREA CONTROL.
Smart Skies TM Be an Air Traffic Controller! 00:00 Target 3:48 AAL kts DAL kts UAL kts How many planes?
Lessons learned from pilot involvement in ASAS experiments Rob Ruigrok & Hans Huisman ASAS Thematic Network Workshop 3 “ASAS - Making it happen”, Toulouse.
What Is Multilateration Triangulation System Uses Aircraft Transponder Multiple Ground Receivers Central Computer Calculates & Displays Aircraft Position.
Computational Evaluation of the Allocation of Authority and Responsibility in NextGen Concepts of Operation Thesis Proposal for MS in Aerospace Engineering.
Advanced Speed Guidance for Merging and Sequencing Techniques Chris Sweeney Thomas Jefferson High School for Science and Technology MITRE Corporation Center.
NUP Phase 2 – Extended Visual Acquisition (EVA) and Airborne Approach Spacing (AAS) Oliver Reitenbach / DFS, Matthias Groth / DLH September 2005 / Slide.
Cognitive Engineering Perspective of ASAS Amy Pritchett Cognitive Engineering Center School of Aerospace Engineering Georgia Tech Atlanta, GA.
DIRECTION TECHNIQUE CERTIFICATION Paris, April 2008 SL ASAS TN2 Workshop ppt ASAS & Business.
Malmö 5 September. 27 th 2005 NUP ITP TT Reykjavik “NUP -- ITP”
Runway Incursion Causal Categories OPERATIONAL ERROR (OE) - A human error caused by a tower controller. There are over 8000 tower controllers in the U.S.
Computational Simulation of Authority-Responsibility Mismatches in Air-Ground Function Allocation Raunak Bhattacharyya (Georgia Tech) Martijn IJtsma (TU.
Trainings to Avoid Deviations and Incursions. Trainings to Avoid Deviations and Incursions A Big Training Challenge Looking for a Solution.
The Analytic Blunder Risk Model (ABRM) A computer model for predicting collision risk Kenneth Geisinger Operations Research Analyst Federal Aviation Administration.
USE OF INTENT INFORMATION IN AIRCRAFT CONFORMANCE MONITORING
ASAS Crossing and Passing Applications in Radar Airspace (operational concept and operational procedure) Jean-Marc Loscos, Bernard Hasquenoph, Claude Chamayou.
ACCIDENT INVESTIGATION HUMAN FACTORS. WHAT HAVE WE LEARNED TO PREVENT FUTURE ACCIDENTS A. TRAINING B. TESTING.
COMPUTER SCIENCE AND AIRPLANES - TRAFFIC COLLISION AVOIDANCE SYSTEM (TCAS) YIXIN ZENG.
William H. Bowers – Specification Techniques Torres 17.
Presented to: International Civil Aviation Organization By: LaGretta Bowser Date: September 2005 Federal Aviation Administration Runway Incursion Severity.
Revision N° 11ICAO Safety Management Systems (SMS) Course01/01/08 Module N° 9 – SMS operation.
Joint 5 th ASAS TN2 Workshop & 2 nd FLYSAFE Forum Toulouse, September 2007 Experiments on the Impact of Wind on ASPA-S&M Manoeuvres Stephen Broatch,
International Civil Aviation Organization Dynamic wake turbulence separation Saulo da Silva Workshop on preparations for ANConf/12 − ASBU methodology (Bangkok,
Lecture 10: Traffic alert and Collision Avoidance System (TCAS)
Lecture 10: Traffic alert and Collision Avoidance System (TCAS)
Advanced Air Transportation Technologies Langley Research Center Evaluation of a Time-Based Airborne Inter-arrival Spacing Tool Presented by: Gary W. Lohr.
Sandy Lozito ATM2003 June 2003 The Impact of Voice, Data Link, and Mixed Modality Environments on Flight Deck Procedures Sandy Lozito 1, Savvy Verma 2,
Federal Aviation Administration Runway Safety For Corporate Pilot’s Corporate Seminar August 8, 2009 Back to Basics For Runway Safety.
TYPES, AIRSPACE CLASSIFICATION, CHANGE FROM ONE TO ANOTHER
Patuxent River Navy Flying Club Bi-Monthly Safety Briefing October 11, 2016 Dave Kirk PRNFC Safety Officer.
Karim Zeghal EUROCONTROL Experimental Centre
Air Traffic Control Conestoga Valley High School Aviation Technology
Air Traffic Control Conestoga Valley High School Aviation Technology
Air Traffic Control Conestoga Valley High School Aviation Technology
Methodology for Architectural Level Reliability Risk Analysis
Presentation transcript:

Examining Operations Coupling Autoflight To ADS-B Targets In High Traffic Density Rachel Haga Amy Pritchett, Ph.D. DASC 2014

2

Presentation Outline  HITL Experiment Design  Scenarios designed to be potential ‘gotcha’ situations  Used ‘Autoflight Interval Management’ and Closely Spaced Parallel Operations’ as exlempars  Results  Conclusions 3

HITL Experimental Setup

Experiment Overview 5 Air Traffic Transcripts Charts & Checklists Audio Communications (Aviation Intercom) Simulation Architecture Eyetracker PartyLine First Officer Captain Experimenter/Instructor B Simulator (RFS) PFD ND/TSD PFD ND/TSD Touch screen ATC->TSD VGA ATC Air Traffic Simulator (TGF) Participants 12 Pilots Researcher

Interval Management (IM) Implementation  Based on a basic first- principles implementation  Commanded a target speed for the auto-throttle to maintain a constant time-based interval behind another their target.  IM Target (+ specs) entered on ‘ATC’ page on CDU  IM function was a new mode selectable on the MCP 6

Closely Space Parallel Operations (CSPO) Implementation 7  Pilots were told CSPO designated aircraft had a specialized collision avoidance function  No autoflight behaviors were changed  CSPO Target entered on ‘ATC’ page on CDU

Independent Variables & Scenarios 8 IM ATC Gives Wrong IM Target (Behind & In Front) IM Target slows below acceptable approach speed Confusing call sign for IM Target IM Target leaves arrival route (with/without ATC callout) IM Target gets an TA CSPO ATC Gives Wrong CSPO Target (Behind & In Front) CSPO Target slows (with/without ATC callout) Confusing call sign for CSPO Target

Dependent Variables  Simulator recorded the pilot’s control actions and aircraft dynamics  Specifically designating targets, IM error  Pilot communication with ATC  Post Run Questionnaires  Pilot rating of IM and CSPO implementation 9

HITL Experiment Results

“IM Error” Measure 11 Commanded Seconds in Trail: 60 IM Error = 0 Positive (+) Negative (-)

Pilot Response to IM Scenarios 12 DAL2524 “Follow DAL 2542 DAL2542

Pilot Response to IM Scenarios 13 DAL2524 “Follow DAL 2524 DAL2542

Pilot Rating of IM 14

Pilot Response to CSPO Scenarios 15

Pilot Rating of CSPO 16

Conclusions

 Pilots used our simple “IM” mode well, including detecting when they should de-designate targets and/or dis-continue interval management operations.  Designating the CSPO targets during arrival, was found to be prone to misidentification of targets by pilots  Pilot interaction with air traffic control generally was sparse  Operational procedures may need to be examined for the clarity of the instructions 18

Acknowledgments This work is funded by the FAA.

Questions?