Validation projects

Airport Operations Plan (AOP) and Seamless Integration with Network Operations Plan (NOP)

Release: 2015

Reference: -

Location: Braunschweig

Description

This solution is offers services to steer, monitor, manage airport performance as well as perform post-operations analysis. The solution also provides processes and tools to ensure airport performance in normal, adverse and exceptional operating conditions. An increased scope and timescale of data is shared between AOP and NOP

Description of the exercises

Real-time simulations in Braunschweig will validate the benefits resulting from the implementation of the SESAR Airport Operations Centre (APOC). Specifically the exercises will validate interfaces (roles and responsibilities) between the APOC and the operational units of individual stakeholders (airlines, airport operator, ground handler, ATC). Information requirements to support performance measurement, alerting and collaborative decision-making will also be assessed. Braunschweig will also carry out fast-time simulations to validate an APOC Runway Manager tool (RMAN) and its ability to propose optimised runway configuration plans during capacity-constrained situations and to provide forecasted landing and take-off times.

Shadow mode exercises in Milan will complement this work by validating airport performance monitoring of airport processes, DCB management processes, the integration of a pre-existing operational A-CDM and the feasibility of ensuring common situational awareness among airport stakeholders. Building on previous CTOT/TTA validations, exercises in Palma Barcelona and Brussels airports will validate the systematic use of target time management in ATFCM, the initial integration of AMAN into DCB and an extended AOP/NOP integration.

Meanwhile, a series of shadow mode trials, also taking place in Palma, will demonstrate how AOP can improve the visibility of landside process information, leading to better use of airport resources.  The exercise will evaluate stakeholder acceptance and the perceived usefulness of the alerts generated by the AOP. Improvements to departure predictability and temporal efficiency through improved Target-Off Block Time (TOBT) accuracy will also be assessed.

Finally a series of live trials will validate the use of a De-icing Management Tool (DIMT) in an A-CDM environment and its ability to enable planning and co-ordination of de-icing operations among airport stakeholders.

Expected benefits

  • Increased efficiency
  • Enhanced Predictability
  • Improved airport capacity
  • Enhanced safety