The objective of Solution PJ.04-02 is to enhance the collaborative management of airport performance, especially in degraded situations. The scope of the work to be performed therefore covers the development of decision support functionalities, notably in the domains of ‘what-if’ scenario capabilities and trends prediction in an airport learning environment. Essentially this covers the notion of identifying the performance impact at different time horizons of any action taken.
The collaborative management of airport performance will also be facilitated by the inclusion of additional information into the AOP covering MET (meteorological probabilistic forecasts) and environmental parameters. Continuing on the theme of integrating airports into the network, the project will also collaborate with PJ.09 in order to develop collaborative procedures between the airport and Network Manager in the event of predicted performance deterioration. Essential to this is the increased common situational awareness the stakeholders will achieve with the exploitation of the AOP information. This will be complemented by the new developments and by using the previously developed SESAR 1 tools, especially those that allow the airspace users to influence the plan based on their intentions (in collaboration with PJ.07).
The relevant information in the AOP is then shared with the Network Manager and other NOP users as appropriate. As the weather and network related impacts affect the total airport resource capacities, and currently only the runway capacity is addressed by Demand and Capacity Balancing (DCB), a holistic approach towards a Total Airport DCB is taken. Especially in the case of adverse weather or winter situations, the most constraining factor may not be the runway itself, but a secondary resource, e.g. de-icing capacities.
The impact of these conditions will be further investigated and appropriately included in the collaborative planning and decision making processes between the stakeholders. By orchestrating the tactical execution support tools (arrival, departure and surface management systems) via the AOP, the implementation of the collaborative planning into the real-time execution is ensured.
MicroStep-MIS will be involved in (WP3):
- Cooperation in development of a comprehensive model of impacts of all kind of significant weather features on each of the airport flows and operations
- Development of the advanced aviation weather decision support system (AAWDSS) including the observation as well as forecasts with progressively finer steps (numeric weather prediction model with deterministic as well as ensemble data output quantitatively assessing the uncertainty, data assimilation of radar and satellite products)
- Development of the user configurable (probability thresholds, severity and duration, etc.) translation mechanisms of the MET information into impacts
- Integration of AAWDSS into decision support tools to derive the optimal weather solutions in adverse weather conditions