2. 2 /2 /
Pilot Common Project
Deployment of mature
outcomes from SESAR 1
Common roadmap split into
6 ATM Functionalities (AF)
Deployment Timeframe
from 2014 to 2023
Geographic areas are
specified by European Union
(EU-LEX 716/2014)
2
AF#1: Extended AMAN and PBN in
high density TMAs
AF#2: Airport Integration and
Throughput Functionalities
AF#3: Flexible Airspace Management
and Free Route
AF#4: Network Collaborative
Management
AF#5: initial System Wide Information
Management
AF#6 Initial Trajectory Information
Sharing
3. 3 /3 / Overall Performance Improvement
3
AF#1: Extended AMAN and
PBN in high density TMAs
AF#2: Airport Integration and
Throughput
AF#3: Flexible Airspace
Management and Free Route
AF#4: Network Collaborative
Management
AF#5: initial System Wide
Information Management
AF#6 Initial Trajectory
Information Sharing
Environment
Cost effectiveness
Safety
Capacity
Punctuality
Safety
Capacity
Cost effectiveness
Environment
Safety
Capacity
Cost effectiveness
Environment
Safety
Capacity
Cost effectiveness
Technical Enabler
Technical Enabler
4. 4 /4 /
AF#1: Extended AMAN and PBN in high density TMAs
4
5. 5 /5 / Extended Arrival Management
Extended AMAN core features:
●Extend sequencing horizon from 100NM to 200NM
●Automatic coordination with upstream ACC
●=> need to better coordinate with nearby airports
●Use downlinked trajectory information
●From existing infrastructure to SWIM
24 airports and their corresponding ACC including
●Paris-CDG, Paris-Orly, Nice
●Stockholm, Copenhagen,
Dublin, Brussels
●…
5
6. 6 /6 / Multi nodal AMAN/DMAN - Concept Overview
ACC1 APP1 TWR1
Metering Fix TransitionFix
Nearby
Airports
APP2 TWR2ACC2
Long Haul
International flights
Short Haul
Domestic flights
City Pairs
Fair access to the runways
Flow metering and balancing
Efficient trajectory with the
right Runway orientation
Smooth integration
in arrival flow at destination
7. 7 /7 / Arrival Management in Paris
7
Complex and dense Extended TMA
• 3 major airports
• Arrival/departure are segregated
• Asymetric feeding of the TMA
• 30% capacity reduction if
MAESTRO is stopped
OMAKOOMAKO
VELERVELER
LORTALORTA
BALODBALOD
MERUEMERUE
125
EGA
Multi-airport constraints similar to Sao Paulo
Fair access to long and short haul
CDG
LBG
ORY
8. 8 /8 / Cross border Arrival Management (XMAN)
8
Operational environment
Reims UAC
Manages traffic to London Heathrow
Frequent traffic overload
17 minutes average delay in London
in peak hours
Objectives
Disseminate London Arrival
delay to Reims ACC via iSWIM
Meter/schedule traffic
entering british airspace
Coordinate regulation in Reims
sectors
Provide speed advisories
according to delay to tactical
controllers
3 minutes absorbed
Flight efficiency
ABNUR
9. 9 /9 / AF#2: Airport Integration and Throughput
SESAR et GIFAS 9
Quick Deployment
of ASMGCS
10. 10 /10 / Integrated departure and surface management
SESAR et GIFAS 10
Taxi route
Reduced surface
queues
Safe operations
whatever weather
conditions
Simulations in Paris CDG complex environment
to be continued for Lyon
A-CDM / DMAN / ASMGCS / EFS integration
(TopSky Tower – MAESTRO)
EFS, Electronic updates and coordination
Surface Routing, D-Taxi, Variable Taxi Time
Advanced Safety Nets for aircraft and vehicles,
including aircraft systems contribution
11. 11 /11 /
Increase capacity while maintening safety level
11
Forecast
Restrictions
Priorities
Runway configuration
& capacity
Strategies
Queue Management
Program
Tactical
Control
Real time
surveillance
Common Situation
awareness
Integrated
surveillance and stripping
for safe operations
Advanced and integrated planning
for efficient operations
iSWIM
Safety
Cost
Effectiveness
Saipher TATIC
Integrated with
TopSky Tower
ASMGCS
Capacity
ENvironment
12. 12 /12 / Time Based Separations
Reduced separation due to headwind
Simulations in Bretigny with Eurocontrol :
AMAN and Wake Vortex Advisory
LIDAR Wake Vortex measures in Toulouse and
CDG
=> collect data for safety case
=> prepare RECAT 1 & 2 (ABSU) to merge long
haul carrier with light regional jet
12
LIDAR
15. 15 /15 / CTOT to TTA
CTOT to TTA
From Take off constraint to Target Time of Arrival at congested airport:
Contribution of nearby airports to major hot spots
Transfert more flexibility / responsibility to airspace users
SESAR Large Demonstrations : involve Airspace Users via flight trials
● FAIRSTREAM : feasibility to implement TTA issued by Network Manager (B2B)
● To be continued in iStream project with AMAN support
15
Departure Destination
En route
STAR
SID
Taxi-out Taxi-in
Approach
Continuous
Climb
Continuous
Descend
Time to
loose
Time to lose
16. 16 /16 / Traffic Complexity Assessment
HotSpots
Sector counts and
complexity ranking
OCC on-ground/Airborne
forecast/overview 2h
Live Traffic from NOP
or from TopSky ATC
17. 17 /17 / AF#5: initial System Wide Information Management
18. 18 /18 / Meteo Information : broadcast and usage
TOPMET
●SESAR life trials
●Sept 2012-Sept 2014
• Trials june-aout 2014
Thunderstorms
Icing
Taking advantage of innovative met data/forecast
Thales develops new meteological services for aviation
19. 19 /19 / Interoperable data exchange
BLUESKY Finalist for Master Class in 2012
● a prototype based on web technologies, demonstrating how dynamic meteorological
information can be combined into the Flight planning process
IOP exercice in 2015 to exchange Flight Objects between
● Maastricht (MUAC / Eurocontrol)
● Karlsruhe (DFS)
● France (DSNA)
XMAN in Reims: Arrival delay between NATS and DSNA
Key enabler to exchange information between all arctors :
● to connect airports to the network
● To share information between ATC, airport, airline, Network Manager
SWIM is an enabler for other AF
to serve Air Transport operational concept
20. 20 /20 / To conclude…
Thales, Airbus, DSNA are strong partners of SESAR
●To innovate to a smarter and sustainable Air Transport domain
●To validate solutions / features and measure the gains
Thales is very keen
●To bring in Brazil its expertise, components or solutions
●To share a vision of ATM
●To support Regional Airport project
Safety
Capacity
Cost effectiveness
Environment
Technical Enabler