Air Transportation System Architecture AnalysisProject Phase IAdvanced System ArchitectureSpring 2006MotivationObjective of the projectOverview of the SystemCurrent Progress (examples in next slides)Preliminary Analysis of the High Altitude (Jet) Route NetworkPreliminary Analysis of the Wide-Body/Narrow Body &Regional Jet Flight NetworkPreliminary Analysis of the Light Jet Flight NetworkPotential Additional Data AcquisitionPotential Future Areas of Investigation© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology1Air Transportation System Air Transportation System Architecture AnalysisArchitecture AnalysisProject Phase IProject Phase IAdvanced System ArchitectureAdvanced System ArchitectureSpring 2006Spring 2006March 23rd, 2006Presentation by: Philippe BonnefoyRoland WeibelInstructors: Chris Magee, Joel Moses and Daniel Whitney© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology2Motivation• 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 Technology3Objective 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 Technology4Overview of the System Layer attributesSystem layerData sourcesPopulation, income,location of businessesArcGIS, CensusDemand layerInfrastructure layerOperator layerTransport layerMobility layerGroundAirspaceSUPPLYScheduledOn-DemandDEMANDDB1B databaseMovements of People and goodsAircraft routesETMS, OAGOperators Part 121, 135, 91OAGFAA Form 5010 airportdatabase, airwayNational Airspace System(airports layout and airspace structure)© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology5Current 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 Technology6010020030040050060013579111315MoreBinFrequencyPreliminary Analysis of the High Altitude (Jet) Route NetworkDegree DistributionDegree“Pseudo” Poisson distribution Chart of Jet RoutesChart of Jet RoutesImage removed for copyright reasons.© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology70.0010.010.111 10 100 1000 10000DegreeCumulative Probability p(>k)Wide/Narrow Body &Regional JetsWB/NB/RJ + with primary &secondary airportsaggregatedPreliminary Analysis of the Wide-Body/Narrow Body &Regional Jet Flight NetworkDegree DistributionScale free with exponential cut-offNarrow Body JetsNarrow Body JetsWide Body JetsWide Body JetsNarrow Body JetsNarrow Body Jets(Images removed forcopyright reasons.)© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology81101001000100001 10 100 1000DegreeCumulative Frequency (n*p(>k))Preliminary Analysis of the Light Jet Flight NetworkLight JetsLight JetsDegree DistributionScale free with a slow exponential cut-offImage removed for copyright reasons.© 2005 Philippe A. Bonnefoy, Roland E. Weibel, Engineering Systems Division, Massachusetts Institute of Technology9Potential 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 Technology10Potential 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
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