air transportation system architecture analysis · © 2005 philippe a. bonnefoy, roland e. weibel,...
TRANSCRIPT
© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology 1
Air Transportation System Air Transportation System Architecture AnalysisArchitecture Analysis
Project Phase IProject Phase I
Advanced System ArchitectureAdvanced System Architecture
Spring 2006Spring 2006
March 23rd, 2006
Presentation by: Philippe Bonnefoy
Roland Weibel
Instructors: Chris Magee, Joel Moses and Daniel Whitney
© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology 2
Motivation• The air transportation system is facing and will continue
to face significant challenges in terms of meeting demand for mobility
• Current multi-agency effort to establish a roadmap for the “Next Generation of Air Transportation System”
• Navigation in current system under most conditions requires use of fixed-location of current infrastructure to facilitate mobility
• Future (evolved) architecture of the system require understanding of the structure of the current system
• Lack of integrated quantitative analysis of structure of the current system
© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology 3
Objective of the project• Better understand the architecture of the current system
through network analyzes• Understand
– the network characteristics of individual system layers– Influence of constraints, desired properties (i.e. safety, capacity,
etc.) in explanation of network characteristics– comparison of network characteristics across different layers,
through coupling of infrastructure or comparison of different network characteristics across layers
© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology 4
Overview of the System Layer attributesSystem layer Data sources
Population, income,location of businesses
ArcGIS, Census
Demand layer
Infrastructure layer
Operator layer
Transport layer
Mobility layer
Ground
Airspace
SUPP
LY
Scheduled
On-Demand
DEM
AND
DB1B database
Movements of People and goods
Aircraft routes ETMS, OAG
Operators Part 121, 135, 91
OAG
FAA Form 5010 airportdatabase, airway
National Airspace System(airports layout and airspace structure)
© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology 5
Current Progress (examples in next slides)
• Infrastructure Layer:– Airspace Structure (Navaids) Analysis
• Low Altitude routes (Victor Airways)• High Altitude routes (Jet routes)
• Transport Layer:– Traffic Data (ETMS) Analysis
© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology 6
0
100
200
300
400
500
600
1 3 5 7 9 11 13 15
More
Bin
Freq
uenc
yPreliminary Analysis of the High Altitude (Jet) Route Network
Degree Distribution
Degree
“Pseudo” Poisson distribution
Chart of Jet RoutesChart of Jet Routes
Image removed for copyright reasons.
© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology 7
0.001
0.01
0.1
1
1 10 100 1000 10000
Degree
Cum
ulat
ive
Prob
abili
ty p
(>k)
Wide/Narrow Body &Regional Jets
WB/NB/RJ + with primary &secondary airportsaggregated
Preliminary Analysis of the Wide-Body/Narrow Body &Regional Jet Flight Network
Degree Distribution
Scale free with exponential cut-off
Narrow Body JetsNarrow Body Jets
Wide Body JetsWide Body Jets Narrow Body JetsNarrow Body Jets
(Images removed forcopyright reasons.)
© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology 8
1
10
100
1000
10000
1 10 100 1000Degree
Cum
ulat
ive
Freq
uenc
y (n
*p(>
k))
Preliminary Analysis of the Light Jet Flight Network
Light JetsLight Jets
Degree Distribution
Scale free with a slow exponential cut-off
Image removed for copyright reasons.
© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology 9
Potential Additional Data Acquisition
• 10% Ticket Sample – DB1B Database• Ground Delay Program Data• Additional ETMS Days• Air Traffic Control Sectors And Interfaces• Additional Schedule Data (OAG)
Availability
© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology 10
Potential Future Areas of Investigation
• Cross-Layer Comparisons– Infrastructure, transport, and mobility layers– Domain expertise input on processes at work to create network
structure• Intra-Layer Comparisons (Transport Layer)
– Network differences by aircraft type, or by air carrier• Influence of nodal constraints
– Airport and airspace capacity as nodal constraints on network growth• Maximum Route Efficiency Achievable
– Merging of airport and airway data• Motifs/Substructure
– Application of motif/ coarse-graining analysis to identify common patterns in network