Use Case 1 – Hawksim Airspace has been used by a major international airport to design and optimise its local airspace. Complex interactions between arrival and departure streams were modelled and system options found which balance the competing benefits of reduced noise, carbon and complexity, whilst maintaining capacity and resilience. 

Use Case 2 – Hawksim Airspace has been used to “solve” complex areas of airspace where multiple routes from multiple airports interact, often over areas of high population or with complex airspace restrictions. The iterative optimisation and evaluation approach allows competing restrictions to be “scored” and compromises found.

Use Case 3 -  As airspace demand and capacity change due to global events, regulation and restrictions, Hawksim Airspace can be used to refine existing airspace and optimise routes to maximise capacity and minimise airspace complexity. The data driven approach provides the evidence base to support a business case  for change. 

The Technical Approach

Due to its highly scalable architecture, Hawksim Airspace can be applied to localised route changes, or wholesale airspace re-design. The system can evaluate tens of thousands of airspace systems in a matter of hours.

Hawksim Noise models have been trained to predict the noise outcome for a vectorised representation of airspace structures above the ground. These models are tuned to EASA noise certification levels.

The tool can automatically deconflicts the departure and arrival tracks ensuring only valid systems are considered. 

Evaluation and Optimisation

Rapid evaluation enables ‘in the room’ comparison of different airspace systems, perfectly adapted for a workshop setting.

The selected systems can then be sent industry endorsed models for further evaluation. 

The speed of evaluation opens up the possibility of optimisation.

The system can search for an “optimal” airspace design, targeting any metric or combination of metrics set by the user. 

System and data driven airspace design: