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Remote Reality Experimentation @Paris-CDG
10th March 2015
1. Background
2. Experimentation @CDG
3. Feedback
4. Future opportunities
Remote reality @Paris-CDG
On-going actions
• EUROCAE WG-100 Technical specifications (July 2014)
• EASA Regulation (certification by the Swedish regulator in 2014)
• Social dialogue (professional associations)
1. Background
2013
Start of operational validation
SESAR validation 1 single
2011
SESAR validation 2 single
Start of the SESAR project
Dec. 2014
Remote Reality@CDG
2009
Remote Tower Services in SESAR
Apron Control concept & Remote Reality ▪ Order and regulate traffic from/to the apron ▪ Increase overall capacity ▪ Improves customers service
2A 2C
2B 2D 2F
2E S3 S4
2G
7 terminals and 2 satellites accounting for
80% of the whole traffic
1300 mvts per day - 220 stands
2. Experimentation @CDG
Southern tower Eastern tower (dedicated)
2. Experimentation @CDG
ABNORMAL PROCEDURES – DE-ICING PROCEDURES
26R
08L
27L
09R 09L
27R
08R
26L
Set-up – area of the experimentation
2. Experimentation @CDG
Hotspot from Southern Tower
Objectives of the experimentation
• Demonstrate a new technology in Paris CDG
• Assess system capability in high-density non-complex traffic (180 movements per day)
• Assess added-value safety features
• Assess added-value on apron control procedures and customer service
• Assess related human factors (fatigue)
Experimentation in shadow mode
2. Experimentation @CDG
Southern Tower Eastern Tower
Set-up – visualise hotspots from ATC / Apron towers
2. Experimentation @CDG
Set-up – Equipment
• Visible cameras
• Thermal cameras
• PTZ camera
• Display working station located in the southern tower
• State-of-the-art 3x55 inches screen
3. Feedback
Efficiency in LVP environment
Visualisation with the thermal camera
3. Feedback
Efficiency in LVP environment – BEFORE AFTER
Visualisation with the IR camera
3. Feedback
Qualitative feedback
HD camera Questions Identify a plane Identify objects Perceive ground markings Assess if an aircrafts is onto its taxi lane Assess distance between two aircraft Predict future mobiles’ positions Assess if the push-back is complete Assees if aircraft is parked Assess distance of change-over position Identify clouds Identify fog Identify rain
Thermal camera Questions Identify a plane Identify objects Perceive ground markings Assess if an aircrafts is onto its taxi lane Assess distance between two aircraft Predict future mobiles’ positions Assess if the push-back is complete Assees if aircraft is parked Assess distance of change-over position Identify clouds Identify fog Identify rain
Night work
Night work
QU
ES
TIO
NS
AN
D A
NSW
ER
S –
RE
MO
TE R
EA
LITY
CD
G 2
015
3. Feedback
Oustanding results
Pros Cons
• 91% assess a better work performance with the thermal camera in low visibility conditions
• 92% assess PTZ HD camera is an asset to perform work related duties
• 70% agree that the system allows good situational awareness
• 80% agree that the system is easy to adapt and does not require extensive training
• 73% felt visual fatigue (eye straing / observation sequence lasted for about 3 hours)
4. Future opportunities
Short-term applications
• Risk-reduction measures better control of interaction ATC / WIP
• Doubt removal in LVP, at night
• Added-value safety feature runway incursion
• Supplementary safety net Paris Air Show (event)
Safety net
4. Future opportunities
Remote reality market segments
Airport movements
Airport complexity
> 50.000
20.000
10.000
GAP FILLING DEDICATED SITES
AFIS / REGIONAL AIRPORTS
CONTINGENCY FOR LARGE AIRPORTS
4. Future opportunities
Added-value air traffic management feature (UAV / RPAS)
Evolution of the business case
