• 29 June 2022
    14:00 > 16:00
  • Webinar
  • Map

Webinar on SESAR Solution PJ.02-W2-21.1

SESAR 3 JU founding member, DFS, is organising a webinar to present the results from test to validate a solution on extended airport safety nets for controllers (SESAR Solution PJ.02-W2-21.1).

This webinar focuses on conflicting ATC clearances (CATC), a new airport safety net developed and validated in SESAR 1, detecting conflict situations when clearing aircraft at airports to mitigate the risks of incidents and accidents. Extending this approach, the present solution provides a set of improvements and new features:

  • The extended CATC is a perfect supplement to support the safe application of reduced runway separation minima.
  • CATC is now applied to the entire manoeuvring area, i.e., it is also extended to ground operations.
  • The extended CATC predictive indication informs the ATCO that a clearance to be issued will cause a clearance conflict.
  • CATC works smoothly with conditional clearances.
  • CATC makes full use of the digital information available at control towers.
  • A new calibration approach optimises CATC alerts to ensure the best possible alarm trigger timing.
  • The combination of new and extended features largely reduces the occurrence of false alerts.

Agenda

14:00

Start of the event

Stephen Straub

DFS

 

Welcome

Christine Schierhorn

DFS

 

The SESAR Programme

Roberto Ghidini

SJU

 

Introduction to Project PJ.02

Catherine Chalon

EUROCONTROL

 

SESAR@TANGe

Marco Weber

DFS

 

Solution 21.1

Stephen Straub

DFS

 

Validation Platform

Benjamin Weiß

DFS

 

Long-term Validation

Felix Schmitt

DFS

 

Final validation and results

Stephen Straub

DFS

 

Questions and discussion

Closing remarks

All

 

16:00

End of the event

 

 

Registration

Register by sending an e-mail with subject ‘SESAR Webinar’, your name, title and organisation by 27 June 2022 to: [email protected]

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The project received funding from the SESAR Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 874470.