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Automation & Innovation in sesar by Peter Hotham


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Automation & Innovation in sesar by Peter Hotham

  2. 2. Key challenges faced by Airspace UsersLong-term ATM challenges and solutions brought by SESARCongested network, higher complexity, Transparent, efficient, and coordinatedunpredictable delay, lower productivity network of operations Severe congestions at key Enable sustained growth by airports (hubs) relieving capacity bottlenecks Increasing delay and Reduce delays and cancellations cancellation rates from improved information management Rising fuel costs due to higher Allow use of optimised fuel route extensions efficient flight profiles High European ANS charges Enable the reduction of ANS charges per flight Higher operational complexity Improve automation, reduce safety and risks risks & improve predictability
  4. 4. Communication Separation Collision Management avoidance Sequencing and Navigation merging Surveillance Routing InformationGuidance Management
  5. 5. TRAFFIC MANAGEMENT - AIRBORNE Cockpit 70s (B747) Cockpit Today (A380)•3-4 Pilots & Navigation crew •2 Pilot crew•Paper charts and books etc •Electronic Flight Bag•Analogue electro-mechanical displays •Digital & Head-Up Displays•Mechanical aircraft steering •Fly by Wire & Single Cockpit Approach•VHF/HF Radio •Satellite communication and data link•Autopilot •Collision detection and avoidance •Flight Management System
  6. 6. TRAFFIC MANAGEMENT - GROUND ATC Position 70s ATC Position Today•Dark environment •Light environment•2-3 Air Traffic Controllers •2 Air Traffic Controllers•Analogue displays •Digital displays•Paper strips •Paper and/or electronic strips•Phone coordination •Electronic & phone coordination•VHF Radio Clearance •VHF Radio Clearance•Local radar feed •National radar feed•National Flow Management •European Flow Management
  7. 7. TRAFFIC MANAGEMENT TODAY MAIN CHARACTERISTICS: •Still many 1970s Technologies •High Fragmentation, poor interoperability •Procedure based tactical control •Rather low level of automation
  8. 8. SESAR FUNDAMENTAL CHANGES INTEGRATION OF THE 4D THE SYSTEM WIDE AUTOMATION AIRPORTS TRAJECTORY INFORMATION PRINCIPLE MANAGEMENT Integrating airports - time Integrating airspace users The Intranet Human operators synchronised for Air Traffic concentrate on operations of flight systems to build predictable Management high value-added surface tasks trajectories and timeflight turn-around synchronised flight precision COLLABORATIVE NETWORK PLANNING Integrated with airport operations planning and airspace user flight planning
  9. 9. THE 4D TRAJECTORY PRINCIPLEBuildingPrecisionin the sky
  10. 10. Moving from surveillance supportedProcedural Control to Trajectory Managementrom an ATCsystemconstraining thetrajectory…o
  11. 11. THE SYSTEM WIDEINFORMATION MANAGEMENTThe Intranetfor Air TrafficManagement
  12. 12. INNOVATION: upgrading ATM Information Technology systems and infrastructureInformation Technology has: Changed radically our way of working, our way of thinking, our way of doing business, Improved decision making, Reduced drastically the time to market, Supported cost reduction in all industries, on all markets. Why would ATM be different?European ATM needs its Intranet, its System Wide Information Management system to: Exchange information, like 4D trajectory, Support decision making and automation Reduce communication infrastructure costs and inefficiencies
  13. 13. AUTOMATIONHuman operatorsconcentrate on highvalue-added tasksICAS 2010, Future ATM – Safe & Efficient
  14. 14. ENHANCED AUTOMATION SUPPORTSESAR currently maintains the human as central in thesystem, taking decisions and managing the operations•To meet the challenges ahead thehuman needs even greater levels ofautomation support•Advanced computer tools providekey decision-making support•Fundamental dependence oninformation relevance and timeliness•Human Factors aspects significant•Failure modes and recovery consequences for safety and businesscontinuity must be clearly understood•Security considerations will become increasingly significant as systemsuse more commercial and open protocols and as interoperabilityimproves
  18. 18. THE RIGHT TO DREAM Challenges for the world this century ... • Population (Demographics etc) • Resources (Material, financial etc) • Energy (Power, heat, fuel etc) • Climate Change SESAR 2025, what is the vision beyond? • Ambitious • Challenging • Engaging • Relevant • Different Human Centric • Operators • Developers • Customers
  19. 19. Research in SESAR (SJU) Principles of the ‘Innovation Cycle’ Continuum of change oriented to meet market and societal needs  SJU co-chairs the ACARE SRIA Working Group
  20. 20. INNOVATION is, ‘What’ ...... What is desirable to Users? Innovation What is What is possible with viable in the Technology? Marketplace?
  21. 21. RESEARCH, DEVELOPMENT &INNOVATION IN SESAR R&D lo 5 Implementation ng -te Available rmSESAR Definition Phase ATM Service Level R&D re se 4 Implementation ar Available ch SESAR ‘Development’ on R&D 3 Implementation ti Programme va Available o I nn e tiv ons R&D a ov cati 2 Implementation Available n I n p li R&D Ap 0/1 Implementation Available 2013 2017 2020 2025 Initial Operating Capability
  22. 22. Pieces of SESAR WP-E Research Research Themes:
  23. 23. What’s in WP-E today?3 - Research Networks Launched  Centres of Excellence for ATM in Complex Systems, Automation and Legal.  Outreach beyond ATM20 - Post-Graduate studies active  7 PhD’s in ComplexWorld Network  13 PhD’s in Automation Network18 - Research Projects launched  9 Projects on ‘Automation’ topic  8 projects on ‘Complexity’ topic  1 project ‘Legal Aspects’ topic
  24. 24. HALA! SESAR Research Network Towards Higher Levels of Automation in ATMObjectives of HALA! The meaning of HALA! in Spanish is "Go on! Get moving".
  25. 25. HALA! SESAR Research Network Towards Higher Levels of Automation in ATMActivities of HALA! Pollinizer (facilitator) Scientific collaborative
  26. 26. HALA! SESAR Research Network Towards Higher Levels of Automation in ATMRole of the network in SESAR 90+ Organisations 350+
  27. 27. HALA! SESAR Research Network Towards Higher Levels of Automation in ATM 2. HALA! has to encourage 3. Transfer knowledge from the development of SESAR to HALA! radically innovative Participants researching in projects automation in ATM HA l on g -Development LA ! rese term Higher arch HALA! SESAR Research NetworkSESAR Work Towards Higher Levels of Automation in ATM Levels of k AutomationProgramme or in ATM N etw 4. Identify in which areas SESAR requires more research in automation (Gap Analysis)
  28. 28. HALA! SESAR Research Network Towards Higher Levels of Automation in ATMPOSITION PAPER- State of the Art and Research
  29. 29. HALA! SESAR Research Network Towards Higher Levels of Automation in ATMHERITAGE IN ATM AND AUTOMATION 1 “In the ATM Target Concept it is recognised 2 that humans will constitute the core of the future European ATM Systems operations..” D3. – ATM Target Concept. SESAR.
  30. 30. HALA! SESAR Research Network Towards Higher Levels of Automation in ATMNEW PARADIGM SHIFT IN ATM
  31. 31. HALA! SESAR Research Network Towards Higher Levels of Automation in ATMNEW PARADIGM SHIFT IN ATM
  32. 32. HALA! SESAR Research Network Towards Higher Levels of Automation in ATMNEW PARADIGM SHIFT IN ATM AUTOMATIONNew role assignment based on :
  33. 33. HALA! SESAR Research Network Towards Higher Levels of Automation in ATMOur role is to FIND the right questions…… “BEST TIME” “DECISION PLACE” “BEST PLAYER”
  34. 34. HALA! SESAR Research Network Towards Higher Levels of Automation in ATMHALA! Main Research
  35. 35. Application of theFlight Deck Automation Support Modeling of AUTOFLY-Aid : Theory of Formal Languages to the HALA! SESAR Research Network with Dynamic 4D Trajectory Management for Trajectory Uncertainty and the Analysis of its Impact in Future Trajectory- Based Operations. Adaptive Airborne Collision Responsive and Boeing R&TE and Glasgow University Towards Higher Levels of Automation in ATM Avoidance Adaptive Airborne Collision Uncertainty reduction by an ATS inherent (ITU) state vector Avoidance. Istanbul Technical University aircraft modeling and estimation. Technische Universitaet Braunschweig Robust data fusion for 4D conflict-free optimal trajectories in a highly automated ATM A framework to assess the abilityCatalonia. system. Technical University of of automation to deliver capacity targets in European airspace. Imperial College London Making decisions on human automation allocations resilient by using a virtual safety advisor for ATM. University Kassel. Managing information needs in the design of highly automated systems and human-computer Effective Automation in ATM: a new perspective on interfaces. University of Roma 3. and control of automated systems. IRIT, management Toulouse and DEEP BLUE Context-Aware Adaptive Automation for Air Aircraft Turnaround management in a highly automated 4 D flight Traffic Control. Delft University of Technology Information Automation on operations environment using Closed loop stochastic dynamic process the Flight Deck in the Context of Trajectory based under input and state constraints. Technische Universitaet optimization Development of an autonomous knowledge-based system state Operations. Technische Universität Dresden evaluation for an enhanced decision making process, Technische Darmstadt Universität Braunschweig. Exploiting Innovative Sensor Data Fusion Strategies for Sense and Avoid Units to be Installed onboard Unmanned Aerial Systems. University of Naples “Federico II”
  36. 36. Results from WP-E Implementing a healthy body of research:  A recognised repository of knowledge providing material for extending SESAR development beyond current timescales and scope. Communicating achievements in Research: SESAR JU Website presence and Research Network Websites Complexity and Automation events and summer schools SESAR Innovation Days Awareness in SESAR Forum at ATC Global 2012 Recognition Young Scientists Award Science and Innovation award in WP-E.
  38. 38. Next steps Maintain the dynamic created with an additional call for projects in 2012 Extend the existing co-ordination across more of the R&D community  Utilise further the Research Network communities  Emphasise links to Universities Bridge SESAR innovation and Long Term R&D to European initiatives like Horizon 2020  Re-align the SESAR Innovation and R&D scope to face the new European Challenges Build further links to R&D outside of ATM  Exchange knowledge  Exploit other domains