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COMPASS Early Safety
Warning System (ESWS)
SESAR/JU WP-E COMPASS Project
http://www.compass-sesarju.eu
Dimitris Kolovos, Richard Paige
Department of Computer Science
University of York
{dimitris.kolovos, richard.paige}@york.ac.uk
Usage Scenario
• ESWS has access to flight plans of flights crossing a
particular sector on a particular day (from 00:00 to
24:00)
• ESWS also has access to other sources of information
such as ACC headers, meteorological data etc.
• ESWS analyses this data and provides early safety
warnings to the user
– Based on user-defined patterns expressed using a
dedicated pattern language (EPL)
• Early Safety Warnings are warnings about complex
events which, if left to develop, can compromise the
safe operation of the ATM system
Slide 3
Slide bar allowing the user
to move to different times
in the day.
Map that provides
a visual overview of the
sector.
Slide 4
Blue points: Sector entry/exit points
Green points: Waypoints in the sector
Solid lines: Airway fragments
Dashed lines: Ends do not belong to the
same airway but 1 or more flights have
been found to fly directly between their ends
Slide 5
Airway fragments highlighted according to
directionality,
Blue fragments: Unidirectional
Red fragments: Bidirectional
Slide 6
Selecting en element on the map
makes its properties appear
in the Properties panel
Slide 7
User moved time slider to 09:36:00
The positions of flights that have crossed
or will cross the sector are displayed on the map.
Slide 8
Selecting a flight makes
its properties appear in
the Properties view
Slide 9
The Traffic Level view displays
the number of flights in the sector
at each time during the day.
Slide 10
The Fragments view
displays the number of flights
that will be crossing each
fragment during the day.
Double-clicking on a
fragment reveals its ends
on the map
Slide 11
The Fragments view
displays the number of flights
that will be crossing each
important point during the day.
Slide 12
The Airspaces view
allows users to switch
between airspaces (sectors)
Slide 13
We switch to the
EHAMTA sector
Slide 14
The conflicts view displays
the results of conflict analysis
Slide 15
Double-clicking on a conflict
loads a detail report of the
conflict and highlights the involved
flights on the map.
Slide 16
In the report, users can
interact with the evolution
of the conflict in time
Slide 17
Users can also explore
other conflicts that are
happening at the same time
Slide 18
Slide 19
Slide 20
Finally, users can also
explore other conflicts which
are not happening at the
same time but which involve
the same flights
Slide 21
Slide 22
Users can specify arbitrary
patterns using the
Epsilon Pattern Language
Slide 23
This pattern checks for flights with
similar call signs (common source of confusion)
This pattern checks for conflicts that
occur at the same time (challenging to handle)
Slide 24
This pattern checks for conflicts that
happen while the occupancy of the
sector is particularly high
This pattern checks for conflicts that
involve ascending/descending flights
Slide 25
This pattern checks for periods in
the day with low visibility and strong winds
Slide 26
Patterns can be matched
against the state of the sector
over the 24hrs period
Slide 27
The user can explore identified
matches through a dedicated view
Slide 28
Pattern matches are also grouped
by the elements of the airspace that
are involved in them to support
root cause analysis

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COMPASS Early Safety Warning System (ESWS)

  • 1. COMPASS Early Safety Warning System (ESWS) SESAR/JU WP-E COMPASS Project http://www.compass-sesarju.eu Dimitris Kolovos, Richard Paige Department of Computer Science University of York {dimitris.kolovos, richard.paige}@york.ac.uk
  • 2. Usage Scenario • ESWS has access to flight plans of flights crossing a particular sector on a particular day (from 00:00 to 24:00) • ESWS also has access to other sources of information such as ACC headers, meteorological data etc. • ESWS analyses this data and provides early safety warnings to the user – Based on user-defined patterns expressed using a dedicated pattern language (EPL) • Early Safety Warnings are warnings about complex events which, if left to develop, can compromise the safe operation of the ATM system
  • 3. Slide 3 Slide bar allowing the user to move to different times in the day. Map that provides a visual overview of the sector.
  • 4. Slide 4 Blue points: Sector entry/exit points Green points: Waypoints in the sector Solid lines: Airway fragments Dashed lines: Ends do not belong to the same airway but 1 or more flights have been found to fly directly between their ends
  • 5. Slide 5 Airway fragments highlighted according to directionality, Blue fragments: Unidirectional Red fragments: Bidirectional
  • 6. Slide 6 Selecting en element on the map makes its properties appear in the Properties panel
  • 7. Slide 7 User moved time slider to 09:36:00 The positions of flights that have crossed or will cross the sector are displayed on the map.
  • 8. Slide 8 Selecting a flight makes its properties appear in the Properties view
  • 9. Slide 9 The Traffic Level view displays the number of flights in the sector at each time during the day.
  • 10. Slide 10 The Fragments view displays the number of flights that will be crossing each fragment during the day. Double-clicking on a fragment reveals its ends on the map
  • 11. Slide 11 The Fragments view displays the number of flights that will be crossing each important point during the day.
  • 12. Slide 12 The Airspaces view allows users to switch between airspaces (sectors)
  • 13. Slide 13 We switch to the EHAMTA sector
  • 14. Slide 14 The conflicts view displays the results of conflict analysis
  • 15. Slide 15 Double-clicking on a conflict loads a detail report of the conflict and highlights the involved flights on the map.
  • 16. Slide 16 In the report, users can interact with the evolution of the conflict in time
  • 17. Slide 17 Users can also explore other conflicts that are happening at the same time
  • 20. Slide 20 Finally, users can also explore other conflicts which are not happening at the same time but which involve the same flights
  • 22. Slide 22 Users can specify arbitrary patterns using the Epsilon Pattern Language
  • 23. Slide 23 This pattern checks for flights with similar call signs (common source of confusion) This pattern checks for conflicts that occur at the same time (challenging to handle)
  • 24. Slide 24 This pattern checks for conflicts that happen while the occupancy of the sector is particularly high This pattern checks for conflicts that involve ascending/descending flights
  • 25. Slide 25 This pattern checks for periods in the day with low visibility and strong winds
  • 26. Slide 26 Patterns can be matched against the state of the sector over the 24hrs period
  • 27. Slide 27 The user can explore identified matches through a dedicated view
  • 28. Slide 28 Pattern matches are also grouped by the elements of the airspace that are involved in them to support root cause analysis