2 - Integrating Airports Into the ATM Network

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    Integrating airports into theATM network

    Christine Druce, SEAC and Gonzalo Quiles, INDRA

    SESAR Technical Workshop, Airport Operations,7 March 2012, Amsterdam

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    ATC Global 2012 SESAR Workshop

    Wednesday 07 March 2012

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    SESAR Airport concepts

    Airport integration in the global ATM network

    Collaborative way of working with Localstakeholders

    Collaboration with TMA Control for AMAN/DMANintegration

    SESAR areas of influence in Airport Operations

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    Before SESAR

    Airport Airport Airport

    ATC ATC

    Long Term: Airlines Plan the allocation of their demand with Airports.Very light (or no) coordination with CFMU= Network and Airport Slots not aligned

    High risk of inconsistent planning among key partners

    Short Term: Planning updates are not simultaneously shared among all partners

    Lack of Common Traffic Situational AwarenessLittle forward visibility

    CFMUAirline

    Airline Handling Others

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    Integration of the LocalAirport Operations Plan (AOP) in

    the GlobalNetwork Operations Plan (NOP) Supports Proactive Performance Management

    - Communication of changes

    - Requires User Driven Prioritisation Process (UDPP)

    A Rolling Airport Operations Plan building on the A-CDM concept

    Common shared data across all airport stakeholders (possibleAirport SWIM environment)

    Airport stakeholders perform timely updates to the AOP underagreed Rules and Procedures

    Airport participates in the management of Arrival Traffic

    Main AchievementsSESAR Concepts implementation in Airports Operations

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    Global environmentIT Systems implementation

    Main Needs

    OtherAgents

    ATC

    Local ANSP

    AirportGroundservicesAirport

    Domain

    AirportOperator

    OtherAirports

    Airlines Meteo

    HandlingAgent

    System interoperability SWIM

    Development of AOP and NOP

    SWIM

    AOPBusiness model

    NOP

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    NOP

    iCWP(P6.9.2,12.5.4)

    A-SMGCS(P6.7.x,12.3.3,P12.3.5)

    AMAN/DMAN(P6.8.4,12.6.7,12.3.5)

    AirspaceUsers

    AirportDomain

    Technology Enablers Airport Environment

    APOC

    Local ANSP/TMA

    AirspaceUsers

    AOP

    Local InterfaceService Oriented Architecture

    IT Systems implementation

    HandlingAgent

    P12.6.2

    SWIM Interface

    12.6.9

    WP7&WP13

    Meteo12.6.3&12.7.5

    Plan Management Business Model

    P6.5.x , P12.6.2AOP DB

    P12.6.2 & P12.7.3

    Land sideoperations

    APAMSDCB

    Postanalysis

    Decisionsupport

    tools

    SWIM

    P7.6.4&P12.6..8

    UDPP

    APOCSupport

    RMS

    AODB

    Airport Operator

    De-icing

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    120 Nautical

    Miles

    Huge Uncertainty Windows result in inaccurate Traffic Counts.

    (Airport CDM Network Impact Assessment EEC Note No. 10-009)

    Many more Aircraft predicted to cross a sector than actual

    Waste of available sector capacity

    Business Case

    European ATM Network: CFMU Case Study

    Impact of Predictability on Traffic Situation Prediction

    For predicting Traffic Situation beyond TwoHours, calculation is based on ground datafor 90 % of aircraft

    I F

    = 20 min (PRU) &Gnd. Speed = 360knots: The uncertainty is 120 NM

    I mproving Predictability t o= 10 min (A-CDM today):The uncertainty will be 60 NM

    With SESAR Target = 3 min:The uncertainty will be reduced to18 NM

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    Business Case

    NOW:

    Migrate Airport management from CTOT to CTA

    Airport actively participating in Arrival Management

    Common Network Situational Awareness to improve predictability

    Increased Predictability reduces traffic bunching effect

    Heavy

    Trafficbunching

    AOP inclusion in NOP influence in ATM:

    With SESAR:

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    Validation Roadmap No Sci-FiSESAR Concept development and validation

    There is a scheduled roadmap for prototypes development and validation:

    Year Scope Place Platform

    2011APOC

    Airport DCB

    Munich, Amsterdam, London-LHR

    Frankfurt, Vienna

    IndraThales,

    DFS, Selex

    2012AOP Content

    De-Icing Management

    Munich, Amsterdam, Paris-CDG

    Stockholm-ARL

    ThalesIndra

    Natmig

    2013AOP StructureAOP Interface

    Palma Indra

    2014Airport Performance Monitoring

    AOP UpdatePalma Indra

    2015Airport Performance

    Management Palma Indra

    As the concepts are validated they become available for industrial implementation.

    A-CDM is an IP1 SESAR concept in the process to be deployed:

    2012A-CDM fully

    implemented

    Berlin, Brussels, Frankfurt, Geneva, Helsinki,

    London-LHR, Munich, Paris-CDG, Prague, Zurich

    Various

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    Reduces delaysand fuel consumption (on ground & in air)

    Optimises resources usage

    Improves passenger quality service

    Supports crisis management

    Safety Capacity Utilisation

    BenefitsSESAR Concepts implementation in Airports Operations

    Improves efficiency of highly

    congested environmentsPredictability

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    Christine DruceSESAR SWP6.5 [email protected]

    Thank you!

    Gonzalo QuilesSESAR WP12 [email protected]