• SJU reference # PJ18-W2-53A /Release 10
  • Stakeholders
    ANSP
    AU
  • Benefits Capacity
    Environment
    Predictability
  • Status In the pipeline

BIG DATA CONTRIBUTES TO MORE PRECISE TRAJECTORY PREDICTION

This Solution was formerly part of PJ.10-02b-W1

As traffic demand increases, so too does the need provide safe and efficient air traffic services. SESAR members are looking at automation tools to reduce controller workload, manage separation buffers and facilitate new controller team organisation for en-route and terminal manoeuvring areas phases of flight.

This candidate solution develops and[TK1]  validates the enhanced assistance provided by conflict detection and resolution for planning and tactical controllers and provides enhanced resolution support information based upon predicted conflict detection and associated monitoring features. It also provides additional trajectory prediction based on ADS-C and known constraints, and introduces machine learning and big data techniques to provide more accurate estimates.

Controllers are assisted in their separation tasks by technical functionalities which use advanced data to improve the services provided. For example, ground trajectory prediction is enhanced when the ground system knows the complete flight profile through the full integration of ground trajectory constraints with the air trajectory. This includes predicted climb and descent speeds downlinked from the aircraft using ADS-C and extended projected profile, as well as the integration of input data derived from meteorological services.

Uplink of altitude constraints allows the optimisation of climb and descents profiles that are compliant with ATC clearances while allowing the pilot to manage the flight economically with minimum environmental impact.

BENEFITS

Increased capacity

Reduced environmental impact

Improved predictability