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su mejor Dynamic Approaches from Complexity to Manage the air Transport Network SESAR Innovation Days 2011 Marta Sanchez, R&D area Isdefe, Spain Isdefe Toulouse November 30 th 2011 30/11/2011 Isdefe Outline 1. NEWO Objectives of


  1. su mejor Dynamic Approaches from Complexity to Manage the air Transport Network SESAR Innovation Days 2011 Marta Sanchez, R&D area Isdefe, Spain Isdefe Toulouse November 30 th 2011 30/11/2011

  2. Isdefe Outline 1. NEWO Objectives of Research 2. The approach 3. Scenarios and 1 st NEWO Workshop outcomes 4. Next Steps 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 1 -

  3. Isdefe NEWO Objectives of Research 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 2 -

  4. Isdefe NEWO Objectives of Research Project funded under SESAR WPE. NEWO stands for “ emerging Network-Wide Effects of inventive Operational approaches in ATM ”. Objectives: Evaluate changes in Prioritisation Propagation behaviour of European air transport network linked to diverse local operational approaches Further develop and explore the potential of innovative modelling and simulation techniques 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 3 -

  5. Isdefe NEWO Scope Conceptual framework : common concepts, current strategies, dynamic indicators, etc. ������� �!��"������ ������� �!��"������ ���� ���� �������������������� �������������������� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ��� ���� ���� ��������� ��������� Capture out-of-the-box ideas for managing complex networks: workshops, questionnaires, interviews, expert groups… Select scenarios and modelling. 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 4 -

  6. Isdefe NEWO Approach 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 5 -

  7. Isdefe The Approach: Problem Statement Air Transportation System Irregular structure (neither purely regular nor purely random) dynamically evolving in time; a complex system Small world and power law degree distribution; Communities structures: vertices connecting different communities are usually hubs in their own community. Nodes are dynamical systems whose dynamics are both influenced by and influencing other nodes dynamics; Links between elements: there is more than edges; Queuing generation, congestion and delay propagation. Hub X Community Hub Y Community 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 6 -

  8. Isdefe The Approach: Modelling Complexity Emergent Phenomena are global behaviours which cannot be Emergent Phenomena are global behaviours which cannot be understood from the behaviour of individual elements: understood from the behaviour of individual elements: Dynamic graphs : structure is not fixed; More links between elements than topology: propagation of noise through the system capturing interactions between elements ; Simple behavioural rules are able to generate complex behaviours; Inter-relationships between structure and dynamics ; Incorporate “noise” in the behaviour of elements (non-determinism): modelling uncertainty . 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 7 -

  9. Isdefe The Approach: ATM-NEMMO Mesoscopic model Routing Nodes Nodes Structure Structure Links Uncertainty rules Heterogeneous nodes with capacity restrictions: airports and high density airspace areas; Dynamic graph generated from traffic demand; Elements travelling between two nodes are aircraft 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 8 -

  10. Isdefe The Approach: ATM-NEMMO Routing Nodes Structure Links Links Uncertainty rules Interactions between elements (propagation, reactionary delays): Awaiting Late arrival Awaiting load or of aircraft crew from passenger from another from previous flight another flight flight 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 9 -

  11. Isdefe The Approach: ATM-NEMMO Routing Routing Nodes Structure Links Uncertainty rules rules Within time interval Tj, at each airport for outbound traffic: Traffic Demand Tj Check route, OK OK Check Links destination airport Outbound Capacity Delayed Flights Tj Prioritisation Delayed Flights Tj+1 Reactionary Regulation Overload 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 10 -

  12. Isdefe The Approach: ATM-NEMMO Routing Nodes Structure Links Uncertainty Uncertainty rules Flight milestones and phases Primary delays (internal disturbances): variation in time required for each flight step Probability distributions based on primary delay data 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 11 -

  13. Isdefe Scenarios and 1st NEWO Workshop outcomes 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 12 -

  14. Isdefe Scenarios…going through Identify and evaluate flight prioritization rules in case of severe capacity shortfalls affecting departures at airports. People with diverse backgrounds Workshop last 25 th October Issue criteria for prioritisation and solve theoretically specific scenarios of demand - capacity imbalance Selection of most promising ideas Simulate and capture delay Check if different strategies can propagation and overload palliate or not the problems bunching with demand increase 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 13 -

  15. Isdefe Scenarios: some ideas Discussion about applicability and feasibility Efficiency, capacity: connections, bigger aircraft, Network approach better equipped, short-haul… Airline driven Business decisions Random Flight priority in two parts: Airline Network Airline specific, based …first flights to hubs, on business models to less congested airports, arrival slot at destination... Equity indicators; Does negative effect of a decision came back to the same people? 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 14 -

  16. Isdefe Next Steps 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 15 -

  17. Isdefe Next Steps Analysing workshop outcomes; Communication: gathering feedback; Main Select and define scenarios; Activities Some model adaptation and development. Cross-fertilization in WP-E ‘Mastering Complex Systems Safely’ network; Links with academia; Support activities/ NEWO webpage and LinkedIn group. tools 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 16 -

  18. Isdefe Isdefe 30/11/2011 Dynamic Approaches from Complexity to Manage the Air Transport Network - 17 -

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