Evaluation of CDA as A Standard Terminal Airspace Operation
|
|
- Erick Miller
- 5 years ago
- Views:
Transcription
1 Partnership for AiR Transportation Noise and Emission Reduction An FAA/NASA/TC/DOD/EPA-sponsored Center of Excellence Evaluation of CDA as A Standard Terminal Airspace Operation School of Aeronautics & Astronautics Purdue University June 16, th USA/Europe Seminar on ATM R&D, Berlin Germany
2 Motivation Restrictions to field test CDA evaluation single airports Restrict to low traffic high cost safety concerns. Simulation-based evaluation nationwide evaluation normal traffic conditions low cost no safety issue Objective: Evaluate benefits of CDA and understand the trade-offs to achieve conflict-free CDAs in normal traffic conditions. 2
3 Outline 1. Conflict-free CDA Disadvantage of CDA Constrained position shifting 2. Benefits analysis Inbound traffic Simulation at New York Metroplex airports Benefits analysis Trade-off analysis 3
4 Fuel savings by CDA Fuel flow rate increases during the level-offs. The total fuel burn of stepdown approach is higher than CDA. If step-down is replaced by CDA Increased chance of conflict during descent Increased landing interval (from1.8 min to 4 min on average) Decreased airport throughput 4
5 Sequencing Constrained Position Shifting Assume 4D trajectory is available First-come-first-served runway usage principle P ( t, t ) [ p ( t,,, h ), p ( t,,, h ),, p ( t,,, h )] i i i i i i i i i i i i i i i 0 n i i i n n n n P ( t, t ) [ p ( t,,, h ), p ( t,,, h ),, p ( t,,, h )] j j j j j j j j j j j j j j j 0 n j j j n n n n Conflict detection: Aircraft i and Aircraft j are predicted to arrive in a small time window and request landing at the same time 5
6 Sequencing Constrained Position Shifting (CPS) Stagger the landing aircraft by delaying their arrival at the boundary of terminal airspace P ( t t, t t) [ p ( t t,,, h ), p ( t t,,, h ),, p ( t t,,, h )] j j j j j j j j j j j j j j j 0 n j j j n n n n Solution: assign Aircraft j a minimum delay to avoid the conflict, but keep its preferred descent trajectory and speed profile intact. 6
7 Mixed Integer Linear Program Decision variable for aircraft i: Cost function: minimize total delay L k 0 min N L i 1 k 0 w [ w, w,, w ], i {1,2,, N} i i i i 0 1 L i wk 1 w i k {0,1} i i c wkk T Constraints: minimum separations if ([ t, t ] && CD( i, j, t, t )) p q p q 2.5 nm Protected zone Conflict detected if zone overlap then set: w i k i w 1 tq 500 ft or i i i j j j CD( i, j, t p, tq) C( pi ( t, 0, 0, h0 ), p j( t, 0, 0, h0 )) 1000 ft t t p j k j i j 0 if i i i j j j ht ht H C( pi( t, 0, 0, h0 ), p j( t, 0, 0, h0 )) i j 1 if ( ht ht H ) & &( d D) 7
8 Simulation setup Tool: FACET (Future ATM Concept Evaluation Tool, NASA Ames) Simulation mode: flight plans from ASDI data Simulated trajectories according to FACET aircraft performance database Two scenarios: conflict-free step-down and conflict-free CDA Data: ASDI data on 03/01/2005 (full day) Airport: New York Metroplex airports (EWR, JFK, LGA, TEB) Minimum Separation : horizontal = 5 nm (normally 3 nm for terminal airspace, but higher value can accommodate uncertainties in high traffic) vertical = 1000 ft < FL290 = 2000 ft > FL290 8
9 Simulation Flowchart 9
10 Benefit analysis Scenario 1 Unweighted sequencing: no priority among different aircraft types when sequencing the arriving aircraft Scenario 2 Weighted sequencing: Objective=C1* Heavy + C2* Large + C3* Small C1 = 2, C2 = 3, C3 = 1 10
11 Scenario 1: unweighted sequencing solved solved The CPS is able to solve all the conflicts. But CDA incurs more delays than Step-down Delay distribution Majority of the delays are less than 5 min 11
12 en route boundary Terminal airspace climb 2. Airborne holding descent Origin airport 1. ground holding Destination airport Two strategies to absorb the calculated delay 1. Ground holding : Fuel Savings = Fuelburn Step-down - Fuelburn CDA 2. Airborne holding: Fuel Savings = Fuelburn Step-down - Fuelburn CDA - Fuelburn airborne holding 12
13 Savings in the 4 airports of NY metroplex Average savings histogram 13
14 Aircraft size percentages JFK has 652 landing aircraft and TEB has 267. But different aircraft size percentages lead to different average fuel savings. As Heavy and Large aircraft save more fuel, airports with more large and heavy aircraft achieve more significant savings. This suggests that leveraging the weights assigned to different aircraft type will change the delay, consequently the savings as well. 14
15 Scenario 2: weighted sequencing Cost function = c1* Heavy + c2* Large + c3* Small Scenario2: c1 = 2, c2 = 3, c3 = 1 Scenario1: c1 = 1, c2 = 1, c3 = 1 Due to airborne delay Fuel saving increases by about 3 tonnes by prioritizing the arriving sequence in terms of aircraft types. 15
16 Comparison of weighted and unweighted results (a ) delay (b ) Fuel burn for airborne delay Listed aircraft type are Large or Heavy aircraft, Misc. represents unclassified aircraft types. In Figure (a), by changing the weighs, delays are transferred to the unclassified aircraft types. In Figure (b) more fuel is saved. Because large and Heavy aircraft experience less delay, less fuel is burned for airborne delay. 16
17 Discussion Benefit statistics obtained from simulations are conditional upon the following factors: Number of level-offs, more level-offs in reality Altitude where level-offs are executed is critical to fuel burn Fuel flow rate exactness, current database may be not the most up-to-date Local traffic conditions Practical factors, such as wind, weather, interaction between en route traffic and terminal traffic, are not considered in current 17
18 Summary 1. Compared to Step-down, CDA is more difficult to sequence under minimum separation constraint (8.36% more delay). 2. CDA saves fuel and flight time. Simulation results suggests 56 kg/flight and 1 min/flight on average. 3. Fuel savings depends on aircraft types. The larger the aircraft size, the higher the savings. 4. Prioritizing the arriving aircraft in terms of aircraft size leads to increase of savings. 18
19 Backup 1. Advantage vs. disadvantage Figure 1 Extra delay vs. Time saved. Figure 2 Average value of Figure 1 19
20 Backup 2. A rough estimation =~100 kg/min level-off altitude cruise altitude For B757, the fuel flow rate increases as a flight cruises at lower altitude. This is the same to all the other aircraft types. CDA keeps the aircraft cruising as longer as possible and removes the level-off. Suppose a 2-minute level-off is replaced by a 2- minute cruise, then nearly 200kg fuel is saved for B757, which is the benefit due to employing CDA. Let s say CDA causes 1 minute extra delay than Step-down for conflict resolution (extra delay is less than the time for level-off, this has been verified by Fig. 2). That means the B757 has to cruise 1 more minute, which leads to around 60kg fuelburn. Then the total fuel saved is =140 kg. CDA is still beneficial. 20
21 Backup 3. Vertical profile setup Two vertical profiles are simulated Step-down (benchmark) CDA Two level-offs are simulated at most. The number of level-off depends on the distance between TOD and the touchdown. TOD If TOD > 50 mn, two level-offs If TOD > 30 mn, one level-off If TOD < 30 mn, no level-off 21
Relative Significance of Trajectory Prediction Errors on an Automated Separation Assurance Algorithm
Relative Significance of Trajectory Prediction Errors on an Automated Separation Assurance Algorithm Todd Lauderdale Andrew Cone Aisha Bowe NASA Ames Research Center Separation Assurance Automation Should
More informationFaster Simulations of the National Airspace System
Faster Simulations of the National Airspace System PK Menon Monish Tandale Sandy Wiraatmadja Optimal Synthesis Inc. Joseph Rios NASA Ames Research Center NVIDIA GPU Technology Conference 2010, San Jose,
More informationModeling Aircraft Performance Parameters with Open ADS-B Data
Twelfth USA/Europe Air Traffic Management Research and Development Seminar Modeling Aircraft Performance Parameters with Open ADS-B Data Junzi Sun, Joost Ellerbroek, Jacco Hoekstra Delft University of
More informationConflict Management for Large Scale Scenarios. ART-13 Meeting Dr. Alexander Kuenz
DLR.de Chart 1 Conflict Management for Large Scale Scenarios ART-13 Meeting 14.03.2018 Dr. Alexander Kuenz DLR.de Chart 2 Motivation: Trajectory-Based Operations Transition Sectors Gate-to-Gate 4D-Trajectory
More informationToken Allocation Strategy for Free-Flight Conflict Solving Track: Emerging Applications, Technology and Issues
From: IAAI-01 Proceedings. Copyright 2001, AAAI (www.aaai.org). All rights reserved. Token Allocation Strategy for Free-Flight Conflict Solving Track: Emerging Applications, Technology and Issues Géraud
More informationAUTOMATED CONFLICT RESOLUTION FOR AIR TRAFFIC CONTROL
25 TH INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES AUTOMATED CONFLICT RESOLUTION FOR AIR TRAFFIC CONTROL Heinz Erzberger Senior Scientist (retired), NASA Ames Research Center, Moffett Field, CA
More informationMerging Flows in Terminal Maneuvering Area using Time Decomposition Approach
Merging Flows in Terminal Maneuvering Area using Time Decomposition Approach Ji MA Daniel DELAHAYE, Mohammed SBIHI, Marcel MONGEAU MAIAA Laboratory in Applied Mathematics, Computer Science and Automatics
More informationNextGen Update. April Aeronautics and Space Engineering Board
NextGen Update April 2015 Aeronautics and Space Engineering Board Presented by Edward L. Bolton, Jr. Assistant Administrator for NextGen Federal Aviation Administration Delivering Major NextGen Investments
More informationArithmetic simulation and performance metrics
Arithmetic simulation and performance metrics Jean-Marc Alliot Geraud Granger Jean-Marc Pomeret Abstract Performance metrics are becoming a strategic issue, and they are getting more and more attention.
More informationLatency and Throughput
Latency (of task): Time elapsed between start of the task and and its finish Example: Travel from Houston to NY Takeoff to Landing Arrival at Airport to Baggage pickup Leave for Airport to Arrival at Destination
More informationMulti-layer Point Merge System for Dynamically Controlling Arrivals on Parallel Runways
Multi-layer Point Merge System for Dynamically Controlling Arrivals on Parallel Runways Man Liang, Daniel Delahaye, Mohammed Sbihi, Ji Ma To cite this version: Man Liang, Daniel Delahaye, Mohammed Sbihi,
More informationAirside Congestion. Airside Congestion
Airside Congestion Amedeo R. Odoni T. Wilson Professor Aeronautics and Astronautics Civil and Environmental Engineering Massachusetts Institute of Technology Objectives Airside Congestion _ Introduce fundamental
More informationSolving Large Aircraft Landing Problems on Multiple Runways by Applying a Constraint Programming Approach
Solving Large Aircraft Landing Problems on Multiple Runways by Applying a Constraint Programming Approach Amir Salehipour School of Mathematical and Physical Sciences, The University of Newcastle, Australia
More informationBlackbox Optimization
Blackbox Optimization Algorithm and Applications Sébastien Le Digabel Charles Audet Christophe Tribes GERAD and École Polytechnique de Montréal Workshop on Nonlinear Optimization Algorithms and Industrial
More informationThe influence of modelling asymmetric lateral track dispersion on aircraft noise level predictions
The influence of modelling asymmetric lateral track dispersion on aircraft noise level predictions F.J.M. Wubben, M.E.S. Vogels and H.B.G. ten Have Nationaal Lucht- en Ruimtevaartlaboratorium National
More informationICAS Workshop 3rd October 2005 Single European Sky Implementation Plan - SESAME
ICAS Workshop 3rd October 2005 Single European Sky Implementation Plan - SESAME Jan Van Doorn EUROCONTROL Experimental Centre, France Director European 1 Organisation for the Safety of Air Navigation Demand
More informationAlgorithms for Automatic Elaboration of Optimized Trajectories for Continuous Descent Operations
Algorithms for Automatic Elaboration of Optimized Trajectories for Continuous Descent Operations Angela Errico 1*, Vittorio Di Vito 1, Claudio Parente 2, Giovanni Petruzzi 2 Department of Air Transport
More informationvstars Version 1.0 Facility Engineer's Guide
vstars Version 1.0 Facility Engineer's Guide Table of Contents Introduction...3 The Facilities Window...3 Facility Configuration...4 Airspace Tab...4 Data Blocks Tab...5 Positions & Aliases Tab...6 Airports
More informationMerging Flows in Terminal Maneuvering Area using Time Decomposition Approach
Merging Flows in Terminal Maneuvering Area using Time Decomposition Approach Ji Ma, Daniel Delahaye, Mohammed Sbihi, Marcel Mongeau ENAC Université de Toulouse 7 av. Edouard Belin, 31055 Toulouse cedex
More informationAMCP/4-WP/70. b) requirements and recommendations together with their rationale; and
Appendix A to the Report on Agenda Item 3 3A-1 APPENDIX A VHF DIGITAL LINK (VDL) DESIGN GUIDELINES 1. INTRODUCTION 1.1 In the absence of a comprehensive and detailed set of operational requirements, the
More informationA Framework for construction of and computations on Four-Dimensional Aircraft Trajectories
A Framework for construction of and computations on Four-Dimensional Aircraft Trajectories CMSC 663-664 2016-2017 Author: Jon Dehn jondehn@umd.edu Advisor: Dr. Sergio Torres Fellow, Leidos Corporation
More informationPolynomial Time Algorithms for Scheduling of Arrival Aircraft
Polynomial Time Algorithms for Scheduling of Arrival Aircraft Kaushik Roy Alexandre M. Bayen Claire J. Tomlin A Mixed Integer Linear Program (MILP) formulation of an arrival traffic scheduling problem
More informationTHE last few decades have witnessed the almost uninterrupted
JOURNAL OF GUIDANCE, CONTROL, AND DYNAMICS Vol. 31, No. 3, May June 2008 Multicommodity Eulerian Lagrangian Large-Capacity Cell Transmission Model for En Route Traffic Dengfeng Sun and Alexandre M. Bayen
More informationAirport Operations Analysis
Airport Operations Analysis Using Fast-Time Simulation Models Dr. Alexander Klein Jianfeng Wang Stephen Szurgyi CENTER FOR AIR TRANSPORTATION SYSTEMS RESEARCH GMU Airport Operations Research Capacity Safety
More informationSOFTWARE TOOL FOR SIMULATION OF AIRCRAFT TRAJECTORIES
5 TH EUROPEAN CONFERENCE FOR AERONAUTICS AND SPACE SCIENCES (EUCASS) SOFTWARE TOOL FOR SIMULATION OF AIRCRAFT TRAJECTORIES Crespo, J. ; Alonso, J.F. ; López, A. and Arnaldo, R Technical University of Madrid.
More informationThe modernisation of ATM in Europe
The modernisation of ATM in Europe Gzim Ocakoglu European Commission DG MOVE/E2 AEE Conference, 26 April 2016, München 1 Air transport is a key component of the European transport system Generating benefits
More informationGlobal Information Management. Ontology: Semantic Integration and Querying across NAS Data Sources
Global Information Management NASA s ATM Ontology: Semantic Integration and Querying across NAS Data Sources Presented By: Rich Keller, Ph.D. Date: August 27, 2015 Long Term Vision: A Global Airspace Question-Answering
More informationAlgorithms for Scheduling Runway Operations Under Constrained Position Shifting
OPERATIONS RESEARCH Vol. 58, No. 6, November December 2010, pp. 1650 1665 issn 0030-364X eissn 1526-5463 10 5806 1650 informs doi 10.1287/opre.1100.0869 2010 INFORMS Algorithms for Scheduling Runway Operations
More informationA Framework for construction of and computations on Four-Dimensional Aircraft Trajectories
A Framework for construction of and computations on Four-Dimensional Aircraft Trajectories CMSC 663-664 2016-2017 Author: Jon Dehn jondehn@umd.edu Advisor: Dr. Sergio Torres Fellow, Leidos Corporation
More informationSensitivity Analysis of Linear Programming and Quadratic Programming Algorithms for Control Allocation
Sensitivity Analysis of Linear Programming and Quadratic Programming Algorithms for Control Allocation Susan A. Frost 1 NASA Ames Research Center, Moffett Field, CA 94035 Marc Bodson 2 University of Utah,
More informationA Path Planning Algorithm to Enable Well-Clear Low Altitude UAS Operation Beyond Visual Line of Sight
A Path Planning Algorithm to Enable Well-Clear Low Altitude UAS Operation Beyond Visual Line of Sight Swee Balachandran National Institute of Aerospace, Hampton, VA Anthony Narkawicz, César Muñoz, María
More informationEfficient Air Traffic Control
Table Of Contents Executive Summary Introduction Mathematical Model Math Variables and Symbols Physics Acceleration Formulas Plan For C++ Program Results and Conclusions References Acknowledgements Appendix:
More informationAerospace Technology Congress 2016 Stockholm, Sweden
SESAR Aerospace Technology Congress 2016 Stockholm, Sweden Michael Standar, SESAR Joint Undertaking 2 ICAO projected global traffic scenario - 2040 The European ATM Master Plan SESAR - addressing global
More informationAPP - Aircraft Performance Program
Introduction APP - Aircraft Performance Program Introduction APP is an aircraft-performance calculation program, specifically designed to provide a fast and easy way to evaluate aircraft performance. Another
More informationElectronic Conspicuity and the GAINS Project. Julian Scarfe Bob Darby AGM 2018
Electronic Conspicuity and the GAINS Project Julian Scarfe Bob Darby AGM 2018 What is electronic conspicuity? ª Conventional: ground radar detects other aircraft pilots interpret traffic information from
More informationANALYSIS OF MULTIPLE OPEN MESSAGE TRANSACTIONS AND CONTROLLER-PILOT MISCOMMUNICATIONS
ANALYSIS OF MULTIPLE OPEN MESSAGE TRANSACTIONS AND CONTROLLER-PILOT MISCOMMUNICATIONS Jasenka Rakas SuSeon Yang University of California at Berkeley National Center of Excellence for Aviation Operations
More informationBlackbox Optimization: Algorithm and Applications
Blackbox Optimization: Algorithm and Applications Sébastien Le Digabel Charles Audet Christophe Tribes GERAD and École Polytechnique de Montréal 7e colloque CAO/FAO, 2016 05 04 BBO: Algorithm and Applications
More informationG&C Research at. Optimal Synthesis Inc. Optimal Synthesis Inc.
G&C Research at Points of Contact P. K. Menon or V. H. L. Cheng Copyright 2007 by All Rights Reserved 868 San Antonio Road Palo Alto, CA 94303-4622 (650) 213-8585, ext. 201/211 www.optisyn.com menon@optisyn.com/vcheng@optisyn.com
More informationSteering C mmitt mmitt Octo Oct ber ber 12, 12, 2017
Steering Committee October 12, 2017 1 Welcome / Introductions JLUS Partners Communities in Jefferson County Lewis County St. Lawrence County Fort Drum Regional Stakeholders Matrix Design Group Mike Hrapla
More informationACARE WG 4 Security Overview
ACARE WG 4 Security Overview ART WS ATM Security and Cybersecurity Kristof Lamont ATM & Cyber Security Expert 23 March 2016 ACARE Advisory Council for Aviation Research and Innovation in Europe http://www.acare4europe.com/
More information5/4/2016 ht.ttlms.com
Order Template Screen 1 Free Form Lesson Overview 2 Free Form Performance Based CNS Requirements 3 Free Form Performance Based CNS Requirements 4 Single Answer Knowledge Check 5 Free Form Related ICAO
More informationImproving airports throughput
Improving airports throughput RECAT EU and Approach Time-Based Vincent TREVE Introduction Analysing summer period 2012, 6 airports were congested in the sense of operating at 80% or more of their capacity
More informationWe are all familiar with the concept of a queue:
SEVENTEEN Queues We are all familiar with the concept of a queue: back of the queue next person joins front of the queue next person leaves Queues play an important role in computer systems, for example:
More informationDigital-X. Towards Virtual Aircraft Design and Testing based on High-Fidelity Methods - Recent Developments at DLR -
Digital-X Towards Virtual Aircraft Design and Testing based on High-Fidelity Methods - Recent Developments at DLR - O. Brodersen, C.-C. Rossow, N. Kroll DLR Institute of Aerodynamics and Flow Technology
More informationA Summary of the Data Analysis for Halifax GPS Precision Approach Trials Transport Canada Aviation/Cougar Helicopters Inc. University of New Brunswick
A Summary of the Data Analysis for Halifax GPS Precision Approach Trials Transport Canada Aviation/Cougar Helicopters Inc. University of New Brunswick Attila Komjathy and Richard B. Langley Geodetic Research
More informationLessons learned: WakeScene Results of quantitative (Monte Carlo) simulation studies
Lessons learned: WakeScene Results of quantitative (Monte Carlo) simulation studies Jan Kladetzke DLR, Oberpfaffenhofen, Institut für Robotik und Mechatronik Jan Kladetzke 01/06/2010 Contents History of
More informationArtificial Intelligence for Real Airplanes
Artificial Intelligence for Real Airplanes FAA-EUROCONTROL Technical Interchange Meeting / Agency Research Team Machine Learning and Artificial Intelligence Chip Meserole Sherry Yang Airspace Operational
More informationBoeing Communications Strategy
Boeing Communications Strategy Presentation to ATN2004 Rob Mead Date: September 15, 2004 Phone: 253-951-8447 Email: rob.mead@boeing.com Topics Data link in Boeing ATM concepts Boeing communications strategy
More informationAutomated Conflict Resolution in Air Traffic Management
Automated Conflict Resolution in Air Traffic Management Gabriela STROE*,1, Irina-Carmen ANDREI 2 *Corresponding author *,1 POLITEHNICA University of Bucharest, Faculty of Aerospace Engineering, Gh. Polizu
More informationMDS1 SESAR. The Single European Sky Programme DG TREN
MDS1 SESAR The Single European Sky Single Industrial and European Technological Sky ATM Research Programme Slide 1 MDS1 Marco De Sciscio; 21/01/2006 Europe facing development challenges Air Traffic in
More informationImpact of Wind, Touchdown, and Plate Lines on Wake Vortex Evolution in Ground Proximity
Impact of Wind, Touchdown, and Plate Lines on Wake Vortex Evolution in Ground Proximity F. Holzäpfel 1, A. Stephan 1, N. Tchipev 1, T. Heel 1, S. Körner 1, T. Misaka 2 1 Institut für Physik der Atmosphäre,
More informationAIAA ANERS Radar Trajectory Processing Technique for Merged Data Sources. April 21, 2017 Prepared by Bao Tong. Federal Aviation Administration
AIAA ANERS 2017 Administration Radar Trajectory Processing Technique for Merged Data Sources April 21, 2017 Prepared by Bao Tong Federal 0 Aviation Administration 0 Introduction The FAA has access to multiple
More informationFSFlyingSchool2010 Voice Command Pack
FSFlyingSchool2010 Voice Command Pack Manual Web: www.fsflyingschool.com Support: [www.fsflyingschool.com/forum] Forum: [www.fsflyingschool.com/forum] Sales: [sales@fsflyingschool.com] Published: June
More informationFederal Aviation Administration (FAA)
Federal Aviation Administration (FAA) CHANG MAI - ATN SEMINAR CPDLC OVERVIEW December 2001 Federal Aviation Administration (FAA) William J. Hughes Technical l Center (WJHTC) Vic Patel, FAA/ACT-550 ISSP
More informationLarge-Scale 3D En-Route Conflict Resolution
1 Twelfth USA/Europe Air Traffic Management Research and Development Seminar (ATM217) Large-Scale 3D En-Route Conflict Resolution Cyril Allignol, Nicolas Barnier, Nicolas Durand, Alexandre Gondran, Ruixin
More informationManeuver Strategy in Beyond-Visual-Range Air Combat
2011 International Conference on Information Communication and Management IPCSIT vol.16 (2011) (2011) IACSIT Press, Singapore Maneuver Strategy in Beyond-Visual-Range Air Combat Liang Xiao, Jun Huang Beijing
More informationANP Data Verification and Validation
ANP Data Verification and Validation JRC Workshop 19-20 January Brussels Laurent Cavadini The European Organisation for the Safety of Air Navigation ANP Data - Contents and Formats Aircraft table Jet engine
More informationLightweight Simulation of Air Traffic Control Using Simple Temporal Networks
Lightweight Simulation of Air Traffic Control Using Simple Temporal Networks Russell Knight Jet Propulsion Laboratory, California Institute of Technology 4800 Oak Grove Drive MS 126-347 Pasadena, CA 91109
More informationHybrid Demand and Capacity Balance Model for the Future Air Traffic Management Concept of Operations
Eighth USA/Europe Air Traffic Management Research and Development Seminar (ATM2009) Hybrid Demand and Capacity Balance Model for the Future Air Traffic Management Concept of Operations Juan José Rebollo
More informationOrientations Optimization for two Runway Configurations
Orientations Optimization for two Runway Configurations Sze-Wei CHANG Chinese University of Science and Technology, Address: 200. Chunghwa St. Henshan, Hsinchu 31241, Taiwan, ROC E-mail: swayc@hotmail.com.
More informationINCREASING RUNWAY CAPACITY USING GENETIC ALGORITHMS AND ENHANCED HEURISTICS
25 TH INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES INCREASING RUNWAY CAPACITY USING GENETIC ALGORITHMS AND ENHANCED HEURISTICS Ákos Kovács Department of Aircraft and Ships Budapest University of
More informationU.S. ADS-B Ground Infrastructure Program. January 28, 2010
U.S. ADS-B Ground Infrastructure Program January 28, 2010 ITT At a Glance A global, diversified manufacturing and engineering company headquartered in White Plains, NY A Fortune 300 company 40,000+ employees
More informationOptimal Resolution of En Route Conflicts
Optimal Resolution of En Route Conflicts Géraud Granger, Nicolas Durand, Jean-Marc Alliot Laboratoire d Optimisation Globale 7, av E. Belin 31055 Toulouse Cedex France tel: (33) 5 62 17 40 54 - fax: (33)
More informationCOMPOSER User Manual
COMPOSER User Manual June 2009 Contents I. II. III. IV. Getting Started...Pg. 1 The Map Interface Pg. 2 Toolbar Menus......Pg. 3 Right Hand Tool Panel Menus... Pg. 11 1 Getting Started To get started,
More informationSandy Brownlee 1, Jason Atkin 2, John Woodward 1, Una Benlic 1 & Edmund Burke 1
Sandy Brownlee 1, Jason Atkin 2, John Woodward 1, Una Benlic 1 & Edmund Burke 1 1 CHORDS Group, University of Stirling 2 ASAP Group, University of Nottingham Outline The ground movement problem Introduction
More informationCollection of Laboratories Course on Aerospace Engineering
DEGREE IN AEROSPACE ENGINEERING IN AIR NAVIGATION Collection of Laboratories Course on Aerospace Engineering Academic year 2012/2013 Manuel Soler Arnedo January, 2013. Contents 1 Introduction to MATLAB
More informationDDS Interoperability in SWIM
DDS Interoperability in SWIM OMG Real Time and Embedded Workshop Paris - April 17 th, 2012 Outline SWIM a key enabler of future ATM SWIM thread within SESAR SWIM FO/IOP Profile Interaction Patterns SWIM
More informationOpen Access Case-Based Reasoning for Flight Conflicts Resolution in En-Route Short Term Conflict Alert Situation
Send Orders for Reprints to reprints@benthamscience.ae 84 The Open Automation and Control Systems Journal, 2015, 7, 84-92 Open Access Case-Based Reasoning for Flight Conflicts Resolution in En-Route Short
More informationSession 2: CORSIA MRV System: Monitoring of CO 2 Emissions. ICAO Secretariat
Session 2: CORSIA MRV System: Monitoring of CO 2 Emissions ICAO Secretariat Monitoring, Reporting and Verification (MRV) of CO 2 Emissions A monitoring, reporting and verification (MRV) system is a key
More informationSystem Wide Information Management (SWIM) PENS Symposium Brussels, 17 October 2012
System Wide Information Management (SWIM) PENS Symposium Brussels, 17 October 2012 THIS PRESENTATION IS ABOUT Introduction Principles & Definition Governance Logical models Technical infrastructure Open
More informationDesign and Development of Unmanned Tilt T-Tri Rotor Aerial Vehicle
Design and Development of Unmanned Tilt T-Tri Rotor Aerial Vehicle K. Senthil Kumar, Mohammad Rasheed, and T.Anand Abstract Helicopter offers the capability of hover, slow forward movement, vertical take-off
More informationNO MORE CONFLICTS: THE DEVELOPMENT OF A GENERIC AIRPORT MODEL IN A SEQUENCE-OPTIMIZATION FRAMEWORK
NO MORE CONFLICTS: THE DEVELOPMENT OF A GENERIC AIRPORT MODEL IN A SEQUENCE-OPTIMIZATION FRAMEWORK P. Scala (a), M. Mujica Mota (b), D. Delahaye (c) (a),(b) Amsterdam University of Applied Sciences- Aviation
More informationACAS PROGRAMME ACASA
ACAS PROGRAMME ACASA ACAS/ACASA/02-020 Edition : 1 Edition Date : March 2002 Status : Released Issue Class : EATMP Version 1.1 Page i DOCUMENT IDENTIFICATION SHEET DOCUMENT DESCRIPTION Document Title ACAS
More informationOverview of the Trimble TX5 Laser Scanner
Overview of the Trimble TX5 Laser Scanner Trimble TX5 Revolutionary and versatile scanning solution Compact / Lightweight Efficient Economical Ease of Use Small and Compact Smallest and most compact 3D
More informationReporting Criteria for Airspace, Energy and Environmental Performance Data
Reporting Criteria for Airspace, Energy and Environmental Performance Data 2016 17 Heathrow Airport Latitude: 51.471823 Longitude: -0.465460 Contents 1. Introduction... 3 1.1 NATS statement on airspace,
More informationTHE VANGUARD LONG RANGE SURVEILLANCE DRONE BEST USED FOR SURVEILLANCE & SECURITY INSPECTION & DETECTION WILDLIFE & GAME
THE VANGUARD LONG RANGE SURVEILLANCE DRONE The Vanguard, our most popular UAV, is a long range surveillance drone with a configurable Data Link video Range and flight times. The Vanguard drone system is
More informationA GROUND HOLDING MODEL FOR AIRCRAFT DECONFLICTION
A GROUND HOLDING MODEL FOR AIRCRAFT DECONFLICTION Nicolas Durand, DSNA/DTI/R&D, Toulouse, France Cyril Allignol, DSNA/DTI/R&D, Planning Optimization Modeling Team, Toulouse, France Nicolas Barnier, Laboratoire
More informationAMSC/CMSC 664 Final Presentation
AMSC/CMSC 664 Final Presentation May 9, 2017 Jon Dehn Advisor: Dr. Sergio Torres, Leidos Corporation Project Goal Build a framework for testing compute-intensive algorithms in air traffic management First
More informationSpace for safe skies. ESA Iris Program. Satellite Communications for Air Traffic Management (ATM)
Space for safe skies ESA Iris Program Satellite Communications for Air Traffic Management (ATM) 23rd Ka-Band Broadband and 35th AIAA ICSSC Conference 18/10/2017 Slide 1 Satellite Communications for the
More informationSESAR Deployment and upcoming CEF Transport Calls ANS Consultative Board. Helsinki, 12 October 2015
SESAR Deployment and upcoming CEF Transport Calls Presentation @NEFAB ANS Consultative Board Helsinki, 12 October 2015 SESAR JU SESAR DM 2 entities, 1 project European ATM Master Plan R&D INDUSTRIALISATION
More informationClustering Trajectories by Relevant Parts for Air Traffic Analysis
Clustering Trajectories by Relevant Parts for Air Traffic Analysis Gennady Andrienko, Natalia Andrienko, Georg Fuchs, and Jose Manuel Cordero Garcia Fig. 1. Different approach routes to London airports
More informationHELICOPTER LOW LEVEL FLIGHT USING TRAJECTORY PLANNING AND OBSTACLE AVOIDANCE
25 TH INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES HELICOPTER LOW LEVEL FLIGHT USING TRAJECTORY PLANNING AND OBSTACLE AVOIDANCE Volker Gollnick* and Torsten Butter, Bernhard Reppelmund + Eurocopter
More informationMultiple Aircraft Deconflicted Path Planning with Weather Avoidance Constraints
AIAA Guidance, Navigation and Control Conference and Exhibit 20-23 August 2007, Hilton Head, South Carolina AIAA 2007-6588 Multiple Aircraft Deconflicted Path Planning with Weather Avoidance Constraints
More informationA Cryogenic Heat Transport System for Space-Borne Gimbaled Instruments
A Cryogenic Heat Transport System for Space-Borne Gimbaled Instruments M.V. Zagarola 1, J.K. Sanders 1, and C.S. Kirkconnell 2 1 Creare Inc., Hanover, NH 2 Raytheon Space & Airborne Systems, El Segundo,
More informationMINIMUM EQUIPMENT LIST REGISTRATION: SERIAL #:
23 COMMUNICATIONS 23-1 -05-1 Radio Management Unit (RMU) (Honeywell Equipped Aircraft Only) -10-1 Communications System (VHF & UHF) -10-2 High Frequency (HF) Communication System C 2 1 (O) One may be inoperative
More informationGrade Measurement Test
Grade Measurement Test National Institute of Standards and Technology (NIST) Information Technology Laboratory Information Access Division Fred Byers NIST 100 Bureau Drive, Stop 8940 Gaithersburg, MD 20899
More informationVehicle Trust Management for Connected Vehicles
Vehicle Trust Management for Connected Vehicles FINAL RESEARCH REPORT Insup Lee (PI), Nicola Bezzo, Jian Chang Contract No. DTRT12GUTG11 DISCLAIMER The contents of this report reflect the views of the
More informationAir/Ground Communications Traffic Modeling Capability for the Mid-Level Model (MLM)
MTR 05W0000080 MITRE TECHNICAL REPORT Air/Ground Communications Traffic Modeling Capability for the Mid-Level Model (MLM) September 2005 Dr. Leone Monticone Dr. Richard Snow Dr. Paul Wang 2005 The MITRE
More informationSELECTION OF THE SURFACEMATERIAL OF A SUPERSONIC SPACE VEHICLE NASA N+3 BASED ON AERODYNAMIC & STRUCTURAL ANALYSES
SELECTION OF THE SURFACEMATERIAL OF A SUPERSONIC SPACE VEHICLE NASA N+3 BASED ON AERODYNAMIC & STRUCTURAL ANALYSES Mohammed Abdul Hameed Khan 1, T Ashok Rao 2 1,2 Assistant Professor, Dept. of Aeronautical
More informationQuinnipiac Post Flight Aerial Acquisition Report
Quinnipiac Post Flight Aerial Acquisition Report August 2011 Post-Flight Aerial Acquisition and Calibration Report FEMA REGION 1 Quinnipiac Watershed, Connecticut, Massachusesetts FEDERAL EMERGENCY MANAGEMENT
More informationDiscrete Event (time) Simulation
Discrete Event (time) Simulation What is a simulation? Simulation is the process of designing a model of a real system and conducting experiments with this model for the purpose either of understanding
More informationAirTight: A Resilient Wireless Communication Protocol for Mixed- Criticality Systems
AirTight: A Resilient Wireless Communication Protocol for Mixed- Criticality Systems Alan Burns, James Harbin, Leandro Indrusiak, Iain Bate, Robert Davis and David Griffin Real-Time Systems Research Group
More information2 Aircraft Design Sequence
2-1 2 Aircraft Design Sequence The sequence of activities during the project phase (see Fig. 1.3) can be divided in two steps: 1.) preliminary sizing 2.) conceptual design. Beyond this there is not much
More informationArrival Scheduling with Shortcut Path Op6ons and Mixed Aircra: Performance. Shannon Zelinski and Jaewoo Jung NASA Ames Research Center
Arrival Scheduling with Shortcut Path Op6ons and Mixed Aircra: Performance Shannon Zelinski and Jaewoo Jung NASA Ames Research Center Time- Based Arrival Management Fixed Path Speed Control More accurate
More informationThe Use of UAV s for Gathering Spatial Information. James Van Rens CEO MAPPS Winter Conference January, 2015
The Use of UAV s for Gathering Spatial Information James Van Rens CEO MAPPS Winter Conference January, 2015 1 UAV Technological Timeline 1980 s RPV (Remotely Piloted Vehicle) Operator on ground, almost
More informationFORMAL VERIFICATION OF AUTOPILOTS IN UNMANNED AIRCRAFT SYSTEMS
FORMAL VERIFICATION OF AUTOPILOTS IN UNMANNED AIRCRAFT SYSTEMS Bong-Jun Yang*, Parikshit Dutta*, Insoek Hwang** *Optimal Synthesis Inc., **School of Aeronautics and Astronautics, Purdue University Keywords:
More informationTime Synchronization of OpenSky s ADS-B Receivers
Time Synchronization of OpenSky s ADS-B Receivers Kiran Mathews Department of Computer Science Technical University of Kaiserslautern July 13th 2016 1 / 28 Kiran Mathews Time Synchronization of OpenSky
More informationShort Range Reference Aircraft CeRAS
Florian Schültke Institute of Aerospace Systems (ILR) RWTH Aachen University, Germany Univ.-Prof. Dr.-Ing. Eike Stumpf Short Range Reference Aircraft CeRAS Problem statement, motivation & objectives Problems
More informationTowards a Lower Helicopter Noise Interference in Human Life
Towards a Lower Helicopter Noise Interference in Human Life Fausto Cenedese Acoustics and Vibration Department AGUSTA, Via G. Agusta 520, 21017 Cascina Costa (VA), Italy Noise Regulation Workshop September
More informationIMPLEMENTATION ISSUES, CHALLENGES, LESSONS LEARNED FOR DATA LINK MONITORING
IMPLEMENTATION ISSUES, CHALLENGES, LESSONS LEARNED FOR DATA LINK MONITORING OPERATIONAL DATA LINK WORKSHOP 8-12 August Accra Josiah BACKOBI Regional Manager Safety & Flight Operations Operational Data
More information