1st ANNUAL WORKSHOP
NAS-WIDE SIMULATION IN SUPPORT
OF NEXTGEN:
REQUIREMENTS AND CAPABILITIES
Lance Sherry
Center for Air Transportation Systems
Research
George Mason University
1
Workshop Background
• NAS-wide Simulations will play a major
role in the development of NextGen
Concepts-of-Operations
– authorization of development funding
– authorization of implementation funding
CENTER FOR AIR TRANSPORTATION SYSTEMS RESEARCH
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Objective of Workshop
•
Identify potential “gaps” for NAS-wide
Simulation
1. What Con-Ops should be simulated in NASwide Simulation
2. What “functions” are required to model a
given Con-Op
3. Risks (Con-op not defined, performance
measure ambiguous, algorithm to support
absent)
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Definition: NAS-Wide Models
•
•
Simulates the performance of the NAS at the granularity of individual flights
over the course of one day.
Sequencing of individual flights through runways and airspace
– may include gates and taxiways
•
Inputs:
–
–
–
–
•
Flight Schedule for Day (itinerary, fleet assignment, seat size, engine-types),
routes and Crz FLs (optional),
Airport Arrival/Departure Capacity, Sector capacity,
Flow Management (may include delays, sequencing, and re-routing for weather)
Outputs:
–
–
–
–
–
Delays per Flight (Delays per flight segment)
Actual Airport Arrival/Departure
Airspace Utilization,
ATCo workload, complexity,
Fuel Burn, Noise, Emissions
CENTER FOR AIR TRANSPORTATION SYSTEMS RESEARCH
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NextGen Con-Ops
Current NAS-wide Sims (Con-Ops Supported)
NextGen NASwide Sims (Concept Elements
Proposed)
Flight Schedule for Day (itinerary, fleet assignment, seat
size, engine-types),
Tail Number Tracking
Dynamic Scheduling
Routes and Crz FLs (optional),
Re-routing
4DTs, gate to gate
4DTs during super-density surface operations
Integrated Surface and Ramp Traffic Management System
4D trajectories negotiation between air and ground
Continuous Descent Approaches
Airport Arrival/Departure Capacity,
Sector Capacity,
Improved airport ability to operate in low visibility
Dynamic resource and airspace management
Delegated (airborne) separation
Closely Spaced Parallel Approaches
Flow Management (may include delays, sequencing,
and re-routing for weather)
Flow strategy and trajectory impact analysis
Safety
Improved runway incursion prevention algorithms
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Workshop Outcomes
1. NextGen Con-Ops that should appropriately be
modeled in NAS-wide Simulations
–
e.g. Airborne Re-routing, integrated surface ops?
2. NAS-wide Simulation Functions required to support
NextGen Con-ops
–
e.g. Airborne Re-routing Con-Ops will require “functions” to
perform: route planning function, trajectory conflict detection
3. Risks
–
–
–
NextGen Con-Ops not defined in sufficient detail (e.g. Dynamic
Airspace Allocation)
No consensus on definition of Performance Measure (e.g.
Probabilistic Capacity)
Algorithms/Behaviors need to be developed and tested
CENTER FOR AIR TRANSPORTATION SYSTEMS RESEARCH
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Agenda
Welcome & Objectives
State-of-the-Art and Near Term Plans
08:30
Welcome &
Logistics
Lance Sherry
08:35
Objectives of
Workshop
Vicki Cox
11:00
NASPAC
Joe Post/
Kimberly
Noonan
11:30
System-wide
Modeler
Peter Kuzminski
12:00
Lunch
13:00
ACES
Robert
Windhorst
13:25
FACET
Banavar Sridhar
13:50
LMI-Net
Shahab Hassan
14:15
Break
14:45
PNP
George Hunter
15:10
NFM
Matthew Berge
15:35
RAMS
Kenny Martin
16:00
CSE/CRRT
Chip Hathaway
16:30
Wrap-up/
Conclusions
17:00
End
Needs Assessment
08:45
ATO-P
Joe Post
09:15
JPDO/SEAD
Yuri Gawdiak
09:30
FAA Tech Center
Al Schwartz
10:00
NASA - Airspace
Karlin Toner
10:30
Break
• Coffee/Tea available during breaks
• Lunch (Bistro, Food Court,
Restaurant)
•
• Presentations posted on website
http://catsr.ite.gmu.edu
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NextGen Con-Ops
Separation
Management
(SM)
Runway/Airspace
Demand
Actual
Capacity
Trajectory
Management
(TM)
Capacity
Management
(CM)
Flightplan Demand
Forecast
Capacity
Flow
Contingency
Management
(FCM)
Scheduled Demand
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NextGen Con-Ops Implementation
1. Reduced Separation Distance
–
–
Vector
4-D Planning
2. Reduced Conflict Resolution
–
–
Trajectory Forecasting
4-D Planning
3. Probabilistic Capacity and Demand
Forecasting
–
–
Probabilistic Decision-Making
Collaborative Decision-making
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2-Day Workshop (Mid-Feb ’09)
• Demand for workshop on this topic
– 60+ registered for this workshop
• Increased scope
– Demand Modeling (forecasting, itin assignment, depeaking, …)
– Performance Metrics
– Safety
– Environment
– Passengers
– Monetization of Benefits
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Introductions
• Name
• Affiliation
CENTER FOR AIR TRANSPORTATION SYSTEMS RESEARCH
11
Backups
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WELCOME
1st ANNUAL WORKSHOP
NAS-WIDE SIMULATION IN
SUPPORT OF NEXTGEN
RESEARCH 1 BUILDING
ROOM 401
CENTER FOR AIR TRANSPORTATION SYSTEMS RESEARCH
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