Turning Goals Into Reality: Revolutionizing Air Transportation Mobility George L. Donohue George Mason University.

Slides:

Advertisements

Similar presentations

QUALITY OF SERVICES IMPROVEMENT PROGRAMMES

Advertisements

Template created by Giorgio Camilleri, March 2006 June 2006 TRANSITION ICAO Air Navigation Bureau Radio Spectrum Seminar Cairo, Egypt.

Federal Aviation Administration 1 Collaborative Decision Making Module 2 Developing A Collaborative Framework.

Hierarchical, distributed and multi-agent control for ATM

1 Market-based DEMAND MANAGEMENT strategies Giovanni Andreatta, University of Padova Lorenzo Brunetta, Milan Polytechnic Un. Guglielmo Guastalla, Eurocontrol.

George Mason University Transportation Lab Air Transportation System Limitations, Constraints and Trends George L. Donohue March 19-20, Wye Woods Conference.

George Mason University March 18, 2004 Harvard University

Air Traffic Management

ATM Modernisation & Network Manager Frank Brenner, Director General EUROCONTROL Airbus ProSky Symposium April 8 th – 10 th, 2014, Abu Dhabi.

EUROCONTROL CRDS 22-24/11/2004 ICRAT 1/15 ICRAT 2004, Zilina, November 22-24, 2004 Towards the traffic synchronisation in a Functional Airspace Block Lenka.

Hub and Spoke vs. Point to Point Evan Demick February 28, 2013.

Emergence of Regional Jets and the Implications on Air Traffic Management Aleksandra Mozdzanowska and R. John Hansman Massachusetts Institute of Technology.

Protection Values for VOR-Defined ATS Routes

The Next Generation Air Transportation System “The Near Term and Beyond” Presented by Charles Leader, Director Joint Planning and Development Office.

Airspace Resource Allocation -Operations Impact Prof. R. John Hansman, Director MIT International Center for Air Transportation

Fuel Efficient Air Traffic Control Maryam Kamgarpour, PhD Student Claire Tomlin, Research Adviser John Robinson, NASA Ames Research Center December 17,

Flying the A-380 The Case for Bigger Aircraft MIT meets Lufthansa 2003.

The European Organisation for the Safety of Air Navigation Investigation of route occupancy Fulfilled by: Marina Ivanenko IAN 403 Supervisor: Grekhov A.M.,

Location Models For Airline Hubs Behaving as M/D/C Queues By: Shuxing Cheng Yi-Chieh Han Emile White.

1 Airport as an economic and spatial regional driver Airport of the Future; March 30, 2006 Meiltje de Groot; sr advisor Airport Development.

Workshop on National Airspace System Resource Allocation: Economics and Equity Organizers: Mike Ball, University of Maryland George Donohue, Karla Hoffman,

Rob Eagles Director ASIA PACIFIC Safety, Operations & Infrastructure.

The Professional Aspects of Mixed Mode for Runway Operations.

Workshop PRIXNET – 11/12 Mars CONGESTION PRICING IN AIR TRANSPORTATION Karine Deschinkel Laboratoire PRiSM – Université de Versailles.

Enav.it Channelling Finance and Innovation to Industry Steps towards the Air Traffic Management system modernisation.

Landing Safety Analysis of An Independent Arrival Runway

ATM Conference, Oslo May 19 th, 2015 ATM Master Plan 2015 Consequences for cost, safety, performance and environment.

Page Lufthansa ASAS It's Time for a paradigm change... Workshop May 2003, Rome

Can our ATM systems cope?

An Automated Airspace Concept for the Next Generation Air Traffic Control System Todd Farley, David McNally, Heinz Erzberger, Russ Paielli SAE Aerospace.

1 1st ANNUAL WORKSHOP NAS-WIDE SIMULATION IN SUPPORT OF NEXTGEN: REQUIREMENTS AND CAPABILITIES Lance Sherry Center for Air Transportation Systems Research.

TEAM 1 – Airbus AXX Future of Air Transportation and Possible Air Response.

ASAS FRA OB/T ATM Projects Lufthansa point of view.

NextGen Current System Primary Radar – Creates blip on Radar Screen Secondary Radar – Aircraft encodes identifier and telemetry data VHF Radio – Voice.

Survey of Traffic and Radar Controller Communication and Workload

CAPACITY LIMITS IN THE NAS How well do we understand the dynamics ?

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.

EUROCONTROL EXPERIMENTAL CENTRE INNOVATIVE RESEARCH Characteristics in Flight Data Estimation with Logistic Regression and Support Vector Machines ICRAT.

ASIA PACIFIC Air Traffic Flow Management

1 Panel on New Air Traffic Control and Management Technology February 23, 2007 The Potential and Realities of Research in Air Traffic Management Harry.

- Session 4: Interoperation José M. Roca Air/Ground Cooperative ATS Programme Eurocontrol.

ATC1 Air Traffic Control ATC2 Purpose of ATC Safety — Conflict Avoidance — Separation of aircraft Visual Flight Rules Instrument Flight Rules Efficiency.

Ames Research Center 1 FACET: Future Air Traffic Management Concepts Evaluation Tool Banavar Sridhar Shon Grabbe First Annual Workshop NAS-Wide Simulation.

Baseline Future Scenarios for JPDO Evaluation and Analysis March 18, 2005 (408) Matthew Blake.

Direction générale de l’Aviation civile centre d’Études de la navigation aérienne First ASAS thematic network workshop The user’s expectations and concerns.

EUROCONTROL European Organisation for the Safety of Air Navigation.

Vehicle Flow. Homework Ch 3 # 1,4, 7, 15 Vehicle Flow How do vehicles operate in the system –capacity –speed –headway –density.

MIT Lincoln Laboratory CIWS D. Meyer 10/21/05 Corridor Integrated Weather System (CIWS)

Optimum Airspace Partitioning for Center/Sector Boundary Design Arash Yousefi George L. Donohue Research Sponsors: NASA ARC, FAA, Metron Aviation Inc.

1 An Integer Linear Programming model for Airline Use (in the context of CDM) Intro to Air Traffic Control Dr. Lance Sherry Ref: Exploiting the Opportunities.

1 European Organisation for the Safety of Air Navigation Jan Van Doorn Director EUROCONTROL Experimental Centre April 2006 ASAS / ADS-B: Implementation.

Benefits of CDM Within AFI Region Presented by: Mikateko Chabani.

1 ILA Berlin - May 2008 Marc Brochard - EEC EPATS ATM General Requirements & relative issues to be solved.

Problems n The main problem is the congestion of traffic in the air. With the congestion come further problems, such as: –There are too few large airports.

14/01/20161 Air Traffic Management Panel Madrid May 2002 AVIATION OPERATIONAL MEASURES FOR FUEL AND EMISSIONS REDUCTION WORKSHOP HOW TO SAVE FUEL.

© 2002 GMU SYST 495 AATMS Team Autonomous Air Traffic Management System (AATMS): The Management and Design of an Affordable Ground-Based Air Traffic Management.

Federal Aviation Administration 1 Collaborative Decision Making Module 5 “The Collaborative Environment”

Using Simulation in NextGen Benefits Quantification

Joint Planning & Development Office Evaluations & Analysis Preliminary Scenario Analyses Strategy Assessment to Provide a Basis for Prioritizing Investments.

19-21 April 2004ASAS TN – 3 rd workshop AIRLINES/IATA OVERVIEW Needs and Considerations Anthony van der Veldt/IATA Assistant Director Safety Operations.

NCAM Ken Hespe, Manager, Outreach & External Affairs National Consortium for Aviation Mobility, Hampton, Virginia 30TH ANNUAL AVIATION FORECAST CONFERENCE.

1 EMERGENCE OF REGIONAL JETS AND THE IMPLICATIONS ON AIR TRAFFIC MANAGEMENT MIT International Center for Air Transportation Aleksandra Mozdzanowska, R.

1 EUROCONTROL S TRATEGIES FOR The ATM Strategy for the Years As from MATSE/6 decision (Jan. 2000): To cater for forecast increase in demand.

Basics of RNP. Outline  What is RNP?  Why implement RNP?  What does it mean for communities?

Estimating the En route Efficiency Benefits Pool Dan Howell, Michael Bennett, James Bonn, CNA Corporation Dave Knorr, FAA AOZ-40 June 23, 2003.

The Relationship Between Traffic Stability and Capacity for Decentralized Airspace 7th International Conference for Research in Air Transportation June.

Collaborative Decision Making Module 5 “The Collaborative Environment”

Giancarlo Buono Nicosia, April 13th 2018

ICAO Air Navigation Bureau

Communications Operating Concept & Requirements (COCR)

Presentation transcript:

Turning Goals Into Reality: Revolutionizing Air Transportation Mobility George L. Donohue George Mason University

GEORGE MASON UNIVERSITY2 Source: BTS 1998

GEORGE MASON UNIVERSITY3 Premise #1 Air Transportation Hub and Spoke Systems –Network of Airport and Sector Queue’s –Approaching Max Capacity Today –Models Predict Higher Delays in 2010, even with all planned new runways and new technology

GEORGE MASON UNIVERSITY4 Hub and Spoke Network Completely Connected Network = 2(N-1) Flights (eg., 50 Airports, 98 Flights) Ref: J. Hansman, MIT

GEORGE MASON UNIVERSITY5 Hyperbolic Growth in US Delay (>15min/1000 operations) vs. Airport Capacity Fraction

GEORGE MASON UNIVERSITY6 Premise #2 Avoiding Network Hubs Exacerbates Airspace Management Limitations –Small Aircraft Traffic Grows like N 2 vs. 2N –Controller Cognitive Workload Limitations –Radio Frequency Spectrum Limitations

GEORGE MASON UNIVERSITY7 Fully Connected Network Completely Connected Network = N(N-1) (eg., 50 Airports, 2450 Flights) Ref: J. Hansman, MIT

GEORGE MASON UNIVERSITY8 Comparison of US and European Delay (min./flt.) vs. Airport Capacity Fraction

GEORGE MASON UNIVERSITY9 Backup

GEORGE MASON UNIVERSITY10 Macro Capacity Model C max = 2 x C AR MAX S  i (XGR) i – C AS MAX  K A K. A K = (A/C REQUEST – A/C ACCEPT ) / C AS MAX C AR MAX = 64 Arrivals/Hour C AS MAX = 120 Aircraft/Sector/Hour

GEORGE MASON UNIVERSITY11 Aircraft Arrival Rate vs. Separation Distance

GEORGE MASON UNIVERSITY12 Arrival Spacing is Critical to Capacity and Safety

GEORGE MASON UNIVERSITY13 16 US Airports in Northeast Triangle Representing 7.6 X 10 6 Operations/Yr

GEORGE MASON UNIVERSITY14 US Airport Runway Utilization 16 Airports in NE Triangle

GEORGE MASON UNIVERSITY15 16 European Airports Representing 4.3 X 10 6 Operations/Yr.

GEORGE MASON UNIVERSITY16 European Airports in Comparison

GEORGE MASON UNIVERSITY17 European Airport Utilization 16 Airports

GEORGE MASON UNIVERSITY18 Hyperbolic Growth in US Delay (min./flt.) vs. Airport Capacity Fraction

GEORGE MASON UNIVERSITY19 Conclusions Air Transportation Systems can be Represented as a Network of FCFS Queue’s with a Loosely Coupled Central Flow Control The US is operating at a relatively High Airport Capacity Fraction with increasing Delay Europe is operating at a relatively Low Airport Capacity Fraction with sector workload producing high delays imposed through Central Flow Control Delays of 2 min per aircraft seem to be the minimum airspace induced delay independent of Airport Capacity