RSPA/Volpe Center Arrival/Departure Tradeoff Optimization at STL: a Case Study Dr. Eugene P. Gilbo tel.: (617) 494-2567 CDM.

Slides:



Advertisements
Similar presentations
Ch. 12 Routing in Switched Networks
Advertisements

Federal Aviation Administration 1 Collaborative Decision Making Module 2 Developing A Collaborative Framework.
UNIVERSITY of GLASGOW A Comprehensive Approach to ATM Incorporating Autonomous Aircraft ATM Research Group University of Glasgow.
October 31, Metron Aviation, Inc. Dan Rosman Assessing System Impacts: Miles-in-Trail and Ground Delays.
ATFM Priorities Evaluation Study Alison Hudgell QinetiQ
European ATFM From current operation towards the future Patrick Ky
FAA / Eurocontrol TFM/CDM Technical Interchange Meeting
Vastly Distributed System ATCSCC CDM net TFM hub TRACONs TRACON(s) Towers ARTCC ARTCC(s) Towers Airports Industry AOC(s) GA International.
Modeling Airport Capacity
Ch. 12 Routing in Switched Networks Routing in Packet Switched Networks Routing Algorithm Requirements –Correctness –Simplicity –Robustness--the.
By: Steve Lang Date: September 2007 Federal Aviation Administration Wake Vortex R&D Status Briefing NBAA Convention.
Development of a Closed-Loop Testing Method for a Next-Generation Terminal Area Automation System JUP Quarterly Review April 4, 2002 John Robinson Doug.
Efficiency and Equity Tradeoffs in Rationing Airport Arrival Slots Preliminary Results Taryn Butler Robert Hoffman, Ph.D.
An Adaptive Multi-Objective Scheduling Selection Framework For Continuous Query Processing Timothy M. Sutherland Bradford Pielech Yali Zhu Luping Ding.
Core 30 Airport Weather Impact Assessment
Date: 18 February 2008 Federal Aviation Administration Collaborative Decision Making at the FAA/ATO A look at how CDM is applied in the U.S.
Presented to: By: Date: File: apo130\Airport Efficiency\TAER SAER Updated Briefing(2).ppt 1030 Federal Aviation Administration Presentation of System Airport.
1 AvMet Applications, Inc Alexander Bell Dr., Ste. 130 Reston, VA Applying FAA Aviation Weather Metrics Program Research to Operational Benefits.
Air traffic controllers (ATC) consideration and ATC solutions Session 5 Presentation 4.
Federal Aviation Administration FOR OFFICIAL USE ONLY (Public availability to be determined under 5USC 552) Data Communications Program DCL Benefits Modeling.
„ Fuzzy Expert” System for Determination of Runways in Use Case Study: Zurich Airport Fedja Netjasov University of Belgrade Faculty of Traffic and Transport.
Exploring Control Strategies in ATC: Implications for Complexity Metrics Jonathan Histon & Prof. R. John Hansman JUP Meeting, June 21-22, 2001.
Federal Aviation Administration Valuation of NextGen Capacity Benefits A Consumer Surplus Approach to the Monetization of NASPAC Results For: INNOVATIONS.
. Center TRACON Automation System (CTAS) Traffic Management Advisor (TMA) Transportation authorities around the globe are working to keep air traffic moving.
A Perspective on NASA Ames Air Traffic Management Research Jeffery A. Schroeder Federal Aviation Administration* * Formerly NASA Ames.
Workshop PRIXNET – 11/12 Mars CONGESTION PRICING IN AIR TRANSPORTATION Karine Deschinkel Laboratoire PRiSM – Université de Versailles.
. Traffic Flow Management System Benefits Flexibility for Future Growth: TFMS provides a modern software architecture to meet future growth and support.
Federal Aviation Administration Date: July 2011 Terminal Arrival Efficiency Rate (TAER) 101 Metric Explanation.
Federal Aviation Administration ATO Future Schedule Generation Performance Analysis and Strategy January 27, 2010.
Distributed Multi-Nodal ATFM Operational Trial
A Time For Change Integrated Airport … A NextGen Testbed November 14, 2007.
LMINET2: An Enhanced LMINET Dou Long, Shahab Hasan December 10, 2008.
Jenifer Miller Simulation Modeling and Analysis Term Project December 2000 Simulation of Airplane Traffic at Bradley International Airport.
Business Location Decisions Dr. Everette S. Gardner, Jr.
Presented to: NAS-Wide Simulation Workshop By: Kimberly Noonan, FAA NextGen and Ops Planning Date: January 28, 2010 Federal Aviation Administration NextGen.
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.
Draft High Level Operational Concept V0.4 Mode of Operation for the Single European Sky Deployable from /11/04.
ASIA PACIFIC Air Traffic Flow Management
Location planning and analysis
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.
Federal Aviation Administration 1 Collaborative Decision Making Module 6 “Collaborative Tools and Technology”
GDPs in Support of SWAP Initial Concepts CDM A&D Meeting. January 24, 2001.
Moving toward Arrival-Departure GDP Bill Hall December 1999.
1 Dr. Ali Amiri TCOM 5143 Lecture 8 Capacity Assignment in Centralized Networks.
© 2015 The MITRE Corporation. All rights reserved. Dr. Christine Taylor Principal Simulation and Modeling Engineer 25 August 2015 Automation to Support.
NY Airport Delay Reduction Presented by Ralph Tamburro.
CENTER FOR AIR TRANSPORTATION SYSTEMS RESEARCH COLLABORATIVE DECISION MAKING (CDM) Testimony before the National Civil Aviation Review Commission Testimony.
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.
Benefits of CDM Within AFI Region Presented by: Mikateko Chabani.
Federal Aviation Administration 1 Collaborative Decision Making Module 7 “Formulating CDM Strategies”
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.
Federal Aviation Administration 1 Collaborative Decision Making Module 5 “The Collaborative Environment”
Joint Planning & Development Office Evaluations & Analysis Preliminary Scenario Analyses Strategy Assessment to Provide a Basis for Prioritizing Investments.
NY/NJ/PHL Metropolitan Area Airspace Redesign Project and Implementation Update Presentation to: Congressional Staffers By: Steve Kelley, Airspace Redesign.
Analysis of Demand Uncertainty in Ground Delay Programs Mike Ball University of Maryland.
Terminal Airspace Traffic Complexity Fedja Netjasov University of Belgrade Faculty of Traffic and Transport Engineering Division of Airports and Air Traffic.
1 Surface CDM Sub-team Concept of Operations Briefing Marshall Mowery (FAA CDM Lead) Dan Allen, FedEx Express (Industry CDM Lead) Carl Calcasola, ATM PBI.
TRB brief 1 FAA TFMM Program TFM Research Board (TRB) Meeting Northrup Grumman 16 October 2008.
1 A General Approach to Equity in Traffic Flow Management and Its Application to Mitigating Exemption Bias in Ground Delay Programs Michael Ball University.
RSPA/Volpe Center Arrival/Departure Capacity Tradeoff Optimization: a Case Study at the St. Louis Lambert International Airport (STL) Dr. Eugene P. Gilbo.
Federal Aviation Administration Integrated Arrival/Departure Flow Service “ Big Airspace” Presented to: TFM Research Board Presented by: Cynthia Morris.
Collaborative Decision Making Module 5 “The Collaborative Environment”
Aircraft Sequencing Problem Near Terminal Area
A Modeling Framework for Flight Schedule Planning
Collaborative Decision Making “Collaborative Tools and Technology”
FPAW 2016 Summer Meeting 3 August 2016 Louis Bailey.
write on board in advance: handouts, names, Hoare quote
Collaborative Decision Making “Developing A Collaborative Framework”
A Concept for Launch and Reentry Collaborative Decision Making (CDM)
Presentation transcript:

RSPA/Volpe Center Arrival/Departure Tradeoff Optimization at STL: a Case Study Dr. Eugene P. Gilbo tel.: (617) CDM Arrival/Departure Subgroup Meeting January 24, 2001

RSPA/Volpe Center Goals of the Study Test the Feasibility of the Airport Arrival and Departure Capacity Optimization Approach. Design the Arrival/Departure Tradeoff Tool as an Automated Decision Support Tool for Improving Arrival and Departure TFM Strategies at Airports. Evaluate Potential Benefits of the Optimization Approach for Improving Airport Capacity Utilization, Increasing the Airport Throughput, and Reducing Delays. Design the Operational Concept for Using the Tool.

RSPA/Volpe Center AIRPORT CAPACITY: Arrival/Departure Capacity Curve (# of dep/15min) (# of dep/15min) dep. capacity (# of arr/15min) arr. capacity (# of arr/15min) arr. capacity trade-off area

RSPA/Volpe Center AIRPORT CAPACITY: Set of Integer Pairs: Arrival/Departure Capacity (# of dep/15min) dep. capacity (# of arr/15min) arr. capacity

RSPA/Volpe Center Dynamic Optimization of Airport Arrival/Departure Capacity Trade-off and Airport Throughput Criterion:Minimum Weighted Sum of Total Arrival and Departure Delay Input:Time Period of Interest Predicted Arrival and Departure Traffic Demand Weather Conditions Schedule of Runway Configurations and Their Arrival/Departure Capacity Curves Output:Airport Arrival and Departure Rates (Capacities) Arrival and Departure Traffic Flow

RSPA/Volpe Center Optimization Criteria Minimum Weighted Sum of Total Arrival and Departure Delay: minimize [ α Total Arr. Delay + (1 – α) Total Dep. Delay ], arr.cap, dep. cap Minimum Weighted Sum of Arrival and Departure Cumulative Queues: minimize [ α Cumul. Arr. Queue + (1 – α) Cumul. Dep. Queue ], arr.cap, dep. cap

RSPA/Volpe Center Optimal Arrival/Departure Strategy STL, 8/16/00, # of flights time ARRIVALS DEPARTURES demand capacity Total Arrival Delay: 60 min Total Departure Delay: 75 min

RSPA/Volpe Center Overall Design of the Study 1.Volpe Center Designs and Develops the Arrival/Departure Tradeoff Optimization Tool Using Both ETMS and Airport- Specific Data. 2.STL TFM Specialists Provide the Volpe Center with the Full Set of Runway Configurations and Their AARs and ADRs (Tradeoff Ranges) for Various Weather Conditions. 3.The Study is Based on Comparative Analysis of Optimal TFM Strategies Calculated by the Tool and the Ones Proposed by the STL Traffic Management Specialists for the Days with Heavy Traffic Demand. 4.The Study is a Collaborative Effort Involving the Specialists from Volpe Center, FAA and TWA.

RSPA/Volpe Center 1. Initial Prototype Tool Has Been Developed. 2.Numerical Experiments Have Been Completed and Analyzed for Seven-Day Data: July 20, 21, August 1, 9, 14, 15 and 16, The Tool-Generated Strategies were Equivalent to or Better than the Strategies Proposed by the STL TFM Specialists. 4.Multiple Optimal Strategies for STL May Be Determined by the Arrival/Departure Tradeoff Tool. 5.Multiple Optimal Solutions Give the Airlines a Set of Options for Selecting the Best Strategy. However, Additional CDM Procedures are Needed for this Kind of Selection. Status of the Study and Preliminary Results

RSPA/Volpe Center STL, Runway Configuration A30LR, 24 / D30LR # of dep/15min # of arr/15min Airport Capacity ArrDep

RSPA/Volpe Center Table 2. TFM Strategy proposed by the STL specialists, 7/21/00, Time Initial DemandA/p Capacity Traffic Flow Queue Arr.Dep.Arr.Dep.Arr.Dep.Arr.Dep – – – – – TOTAL: TFM Strategy Proposed by the STL Specialists, 7/21/00, Total Delay: arrival - 45 min; departure min; arr + dep min Average Delay per Flight: arrival min; departure min

RSPA/Volpe Center Arrival/Departure Tradeoff Tool Determined 15 Optimal Strategies With Total Arrival and Departure Delay 180 min (8% reduction) Time Initial Demand A/p CapacityTraffic Flow Queue Arr.Dep.Arr.Dep.Arr.Dep.Arr.Dep – – – – – TOTAL: Optimal TFM Strategy, 7/21/00, Total Delay: arrival - 45 min; departure min; arr + dep min Average Delay per Flight: arrival min; departure min

RSPA/Volpe Center Time Initial DemandA/p Capacity Traffic Flow Queue Arr.Dep.Arr.Dep.Arr.Dep.Arr.Dep – – – – – TOTAL: Optimal TFM Strategy, 7/21/00, Total Delay: arrival - 75 min; departure min; arr + dep min Average Delay per Flight: arrival min; departure min

RSPA/Volpe Center Time Initial DemandA/p Capacity Traffic Flow Queue Arr.Dep.Arr.Dep.Arr.Dep.Arr.Dep – – – – – TOTAL: Optimal TFM Strategy, 7/21/00, Total Delay: arrival - 75 min; departure min; arr + dep min Average Delay per Flight: arrival min; departure min

RSPA/Volpe Center Time Initial Demand A/p Capacity Traffic Flow Queue Arr.Dep.Arr.Dep.Arr.Dep.Arr.Dep – – – – – TOTAL: Optimal TFM Strategy, 7/21/00, Total Delay: arrival min; departure - 75 min; arr + dep min Average Delay per Flight: arrival min; departure min

RSPA/Volpe Center Time Initial DemandA/p Capacity Traffic Flow Queue Arr.Dep.Arr.Dep.Arr.Dep.Arr.Dep – – – – – TOTAL: TFM Strategy Proposed by the STL Specialists, 8/16/00, Total Delay: arrival min; departure - 60 min; arr + dep min Average Delay per Flight: arrival min; departure min

RSPA/Volpe Center Time Initial DemandA/p Capacity Traffic Flow Queue Arr.Dep.Arr.Dep.Arr.Dep.Arr.Dep – – – – – TOTAL: Optimal TFM Strategy, 8/16/00, Arrival/Departure Tradeoff Tool Determined 27 Optimal Strategies With Total Arrival and Departure Delay 135 min (31% reduction) Total Delay: arrival - 0 min; departure min; arr + dep min Average Delay per Flight: arrival - 0 min; departure min

RSPA/Volpe Center Time Initial DemandA/p Capacity Traffic Flow Queue Arr.Dep.Arr.Dep.Arr.Dep.Arr.Dep – – – – – TOTAL: Optimal TFM Strategy, 8/16/00, Total Delay: arrival - 60 min; departure - 75 min; arr + dep min Average Delay per Flight: arrival min; departure min

RSPA/Volpe Center Time Initial DemandA/p Capacity Traffic Flow Queue Arr.Dep.Arr.Dep.Arr.Dep.Arr.Dep – – – – – TOTAL: Optimal TFM Strategy, 8/16/00, Total Delay: arrival - 60 min; departure - 75 min; arr + dep min Average Delay per Flight: arrival min; departure min

RSPA/Volpe Center Time Initial DemandA/p Capacity Traffic Flow Queue Arr.Dep.Arr.Dep.Arr.Dep.Arr.Dep – – – – – TOTAL: Optimal TFM Strategy, 8/16/00, Total Delay: arrival - 90 min; departure - 45 min; arr + dep min Average Delay per Flight: arrival min; departure min

RSPA/Volpe Center Shirt Term: 1.Improving the tool based on - additional functions (graphics, arrival/departure alerts) - feedback from the users. 2. Investigate methods for dealing with multiple optimal solutions at STL. 3. Start a case study at EWR. Further Steps

RSPA/Volpe Center Long Term: 1.Begin wide–scale effort for determining full sets of runway configurations and corresponding capacity curves for major US airports. 2.Work with the TFM FAA and airlines’ specialists on sites for efficient usage of the tool. 3.Explore new airline inputs for improving efficiency of the TFM CDM. 4.Expand functionalities of the tool by taking into account of arrival and departure fixes in the optimization procedure. Further Steps (cont.)