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Advisory Council for Aviation Research and Innovation in Europe Advisory Council for Aviation Research and Innovation in Europe The ACARE SRIA Update Dataset2050 workshop, 20-September-2017 20-Sep-17 1

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Page 1: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe  Advisory Council for Aviation Research and Innovation in Europe  

Advisory Council for Aviation Research and Innovation in Europe

The ACARE SRIA Update Dataset2050 workshop, 20-September-2017

20-Sep-17 1

Page 2: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe  

ACARE timeline

A comprehensive response to Vision 2020

SRA-1

SRA-2 Addendum

2002

2004

2008

Flightpath 2050 15 years of successful lnnovation

SRIA- 2012

2 20/09/17

Maintaining global leadership

& serving society’s needs

Page 3: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe   20-Sep-17 3

New topics have come up, e.g.

•  dynamic developments in the field of IT e.g. big data, automation, digitilisation, industry 4.0

•  new manufacturing processes vital for manufacturing industry

•  new system concepts , e.g. more electrical flying •  broader scope and accelerated market takeup of

RPAS / UAS •  repercussions of MH370 / MH 17 / 4U 9525 •  increased focus on security

Rationale for SRIA Update

Page 4: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe   20-Sep-17 4

Boundary conditions have changed since the SRIA was published in 2011, e.g.

•  competitiveness of European air transport stakeholders (airlines and airports) is even more at risk

•  effects of financial crisis are still felt in many parts of Europe

•  a new European parliament and commission set new priorities, e.g. the energy union or the Strategic Transport Research and Innovation agenda

•  sufficient availability of alternative fuels and its implications seems questionable

•  ‚new‘ environmental issues gain importance, e.g. particulate matter •  international battle for talents is getting more intense •  the use and availability of online education programs is increasing

Rationale for SRIA Update

Page 5: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe  

And the research baseline had changed…..

•  Results of FP7, Clean Sky and SESAR delivering new technologies, common concepts and opportunities.

•  Results of CSAs triggering changes in some challenges.

Rationale to update SRIA

20/09/17 5

Update was performed to ensure that the SRIA •  remains THE state-of-the-art strategy and reference

document for European aviation with the aligned position of the whole aviation sector on research and innovation needs,

•  provides valid input to next FP or national research programs •  remains a valid source for position papers and/ or consultations •  contains valid recommendations endorsed by GA

Page 6: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe   20-Sep-17 6

Dates:

•  Launch: October 2015 @ Aerodays in London

•  Publication Volume 1: 21-June-2017 @Le Bourget

•  Publication Volume 2: 30-September 2017

For ACARE WG1 addressing the mobility challenge the update meant

•  8 full WG1 meetings

•  3 extra workshops

•  … and lots of extra hours in the offices….

A special thanks to Innaxis for hosting the web-based workspace !!

ACARE SRIA Update

Page 7: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe   20-Sep-17 7

Scope :

SRIA Volume 1:

•  2nd edition with updated content and improved readability

SRIA Volume 2:

•  Updated content

•  Restructured in line with new Volume 1 action orientation

•  Improved accessibility to content and information

•  Electronic version only

ACARE SRIA Update

Page 8: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe   20/09/17 8

ACARE SRIA Update - Approach

Iden&fica&on  of  ‚trigger  factors‘  (i.e.  factors  that  have  changed  since  2012)  

Implica&ons  for  Volume  1,  restructure  to  more  ac&on  

orienta&on  

Implica&ons  for  Volume  2,  consolidate,  restructure  to  

ac&on  areas  

Page 9: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe  

•  (Air) vehicle development - airspace and trajectory management

•  RPAS / UAS development and market take-up is quicker than initially anticipated and there is a strong push from the non-aviation sector.

•  Competitiveness of European air transport stakeholders (airlines and airports) is even more at risk

•  Weather extremes - ATM concepts and technologies

•  Fast market take-up of inflight internet access for passengers and increasing use of mobile devices on aircraft

•  Decision at COP 21 to de-carbonize transport

•  Cyber-security threats (e.g. to aircraft equipment / ATM system / …)

•  Dynamic developments in IT, here: computing infrastructure (incl. sensors, data sources)

•  Dynamic developments in the field of IT, here: Applications, data management and analysis

•  New market entrants (incl. aviation and transport sectors) / New business & pricing models (e.g. UBER in air transport?)

•  New mobility system concepts and vehicles •  Political (in-)stability and its effect on travel demand,

patterns and processes •  Increased pressure on (aviation) transport

infrastructure •  Progress towards the integrated transportation

system is slower than hoped for •  Research environment - PPP/JU/JTI structures •  Research environment - R&I activities required for

door-to-door international transport •  Increasing speed of societal change and (service)

expectations

WG1 SRIA Update trigger factors

20/09/17 9

Top 5 trigger factors for mobility challenge

•  Competitiveness of European air transport stakeholders (airlines and airports) is even more at risk

•  Decision at COP 21 to de-carbonize transport

•  IT – new opportunities and threats

•  New mobility system concepts, stakeholders, business models and vehicles

•  Progress towards the integrated transportation system is slower than hoped for

Page 10: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe  

Mobility   Compe-veness  Understand  customer,  market  and  societal  expecta-ons  and  

opportuni-es   Increase  compe--veness  in  product  industrializa-on  

Design  and  implement  an  integrated,  intermodal  transport  system   Develop  high  value  manufacturing  technologies  

Develop  capabili-es  to  evaluate  mobility  concepts,  infrastructure  and  performance   Embed  design  for  excellence  in  the  product  lifecycle  

Provide  travel  management  tools  for  informed  mobility  choices   Secure  con-nued  and  focused  investment  

Deliver  mobility  intelligence:  journey  informa-on,  data  and  communica-on  

Exploit  the  poten-al  of  opera-ons  and  maintenance,  repair  and  overhaul  (MRO)  

Provide  tools  for  system  and  journey  resilience,  for  disrup-on  avoidance  and  management   Develop  innova-ve  and  op-mized  tes-ng  

Evolve  airports  to  become  integrated,  efficient  and  sustainable  air  transport  interface  nodes   Establish  new  business  and  enterprise  models  and  ini-a-ves  

Design  and  implement  an  integrated  informa-on,  communica-on,  naviga-on  and  surveillance  plaKorm  

Lead  the  development  of  standards  

Develop  future  air  traffic  management  concepts  and  services  for  airspace  users   Streamline  cer-fica-on  

Address  cross-­‐cuPng  issues:  system  intelligence,  human  factors  and  automa-on  support,  autonomy  and  resilience  

Volume 1 Action Areas by challenge

20/09/17 10

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Advisory Council for Aviation Research and Innovation in Europe  

Environment  &  Energy   Safety  &  Security   Infrastructure  Develop  air  vehicles  of  the  future:  

evolu-onary  steps   Collaborate  for  safety   Maintain  awareness  with  an  effec-ve  technology  watchtower  

Develop  air  vehicles  of  the  future:  revolu-onary  steps  

Op-mise  human  and  organisa-onal  factors  for  safety  

Develop  an  inclusive  research  strategy  covering  the  en-re  innova-on  chain  

Increase  resource  use,  efficiency  and    recycling   Build  and  exploit  safety  intelligence   Make  the  right  investment  choices  with  

robust  selec-on  processes  

Improve  the  environmental  performance  of  air  opera-ons  and  traffic  management   Ensure  opera-onal  safety   Develop  and  maintain  state-­‐of-­‐the  art  test  

infrastructure  

Improve  the  airport  environment   Design,  manufacture  and  cer-fy  for  safety   Establish  a  sustainable  network  of  operators  for  test  infrastructure  

Understand  avia-on's  climate  impact   Collaborate  for  security   Provide  world-­‐leading  educa-on  in  avia-on  

Provide  the  necessary  quan-ty  of  affordable  alterna-ve  energy  sources  

Engage  avia-on  personnel  and  society  for  security  

S-mulate  the  involvement  of  stakeholders  in  educa-on  

Adapt  to  Climate  Change   Build  and  exploit  security  intelligence   Make  avia-on  aVrac-ve  to  ensure  inflow  into  educa-onal  programs  

Develop  incen-ves  and  regula-ons   Ensure  opera-onal  security  

Design,  manufacture  and  cer-fy  for  security  

20/09/17 11

Volume 1 Action Areas by challenge – contd.

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Advisory Council for Aviation Research and Innovation in Europe  

SRIA update Vol. 1 – ‚Mobility‘ challenge

The following topics of the mobility challenge have gained relevance and are better reflected in the updated SRIA: 1.  Air transport ground infrastructure 2.  Competitiveness of European air transport stakeholders in a global context 3.  Effect of increased volatility in mobility flows 4.  Disruption forecast & handling (e.g. by predictive analysis) 5.  Data science applications, AI, machine learning, computing infrastructure

and cyber security 6.  Integration of autonomous vehicles or RPAS

20/09/17 12

Strategy, Networking, Monitoring

Page 13: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe   20/09/17 13

Link to SRIA Volume 1:

http://www.acare4europe.org/sites/acare4europe.org/files/document/acare-strategic-

research-innovation-volume-1-v2.7-interactive-fin.pdf

Volume 2 coming soon ….

Page 14: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe  

2012 Vol 2 ‘mobility’ – top 3 levels…

20/09/17 14

Page 15: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe  

2017 Vol 2 ‘mobility’ – top 3 levels…

20/09/17 15

The number of R&I needs was reduced from 446 to 284 .... J

Page 16: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe  

Thank you !!

www.acare4europe.org

ACARE – ADRESSING NEW HORIZONS IN AVIATION

Page 17: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe  

ACARE timeline

A comprehensive response to Vision 2020

SRA-1

SRA-2 Addendum

2002

2004

2008

Flightpath 2050 15 years of successful lnnovation

SRIA- 2012

17 20/09/17

Maintaining global leadership

& serving society’s needs

SRIA update 2017

Page 18: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe   18

Strategic Research and Innovation Agenda (SRIA)

Content aligned to five goals of Flightpath 2050:

Meeting Societal and Market Needs

Maintaining and Extending Industrial Leadership

Protecting the Environment and the Energy Supply

Ensuring Safety and Security

Prioritising Research, Testing Capabilities & Education

Road map for aviation research, development & innovation

Update published in 2017

Page 19: Advisory Council for Aviation Research and Innovation in ... · 4. Disruption forecast & handling (e.g. by predictive analysis) 5. Data science applications, AI, machine learning,

Advisory Council for Aviation Research and Innovation in Europe   20-Sep-17 19

SRIA 1 - Recommendations

To achieve the Flightpath 2050 goals, Europe must: Ø  Lead the development of an integrated resilient European air transport system

Ø  Maintain global leadership

Ø  Establish efficient and effective policy and regulatory frameworks

Ø  Provide incentives and long-term R&T programmes

Ø  Champion sustainable growth to further reduce emissions/noise

Ø  Maintain the sector’s safety track record

Ø  Provide long term thinking

Strategy, Networking, Monitoring