COMPASS Early Safety Warning System (ESWS)

SESAR/JU WP-E COMPASS Projecthttp://www.compass-sesarju.eu

Dimitris Kolovos, Richard PaigeDepartment 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 userto move to different timesin the day.

Map that providesa visual overview of thesector.

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Blue points: Sector entry/exit pointsGreen points: Waypoints in the sector

Solid lines: Airway fragmentsDashed lines: Ends do not belong to thesame airway but 1 or more flights have been found to fly directly between their ends

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Airway fragments highlighted according todirectionality,Blue fragments: UnidirectionalRed fragments: Bidirectional

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Selecting en element on the mapmakes its properties appearin the Properties panel

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User moved time slider to 09:36:00

The positions of flights that have crossedor will cross the sector are displayed on the map.

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Selecting a flight makes its properties appear inthe Properties view

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The Traffic Level view displaysthe number of flights in the sectorat each time during the day.

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The Fragments viewdisplays the number of flightsthat will be crossing each fragment during the day.

Double-clicking on afragment reveals its endson the map

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The Fragments viewdisplays the number of flightsthat will be crossing each important point during the day.

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The Airspaces viewallows users to switchbetween airspaces (sectors)

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We switch to theEHAMTA sector

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The conflicts view displaysthe results of conflict analysis

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Double-clicking on a conflictloads a detail report of theconflict and highlights the involvedflights on the map.

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In the report, users caninteract with the evolutionof the conflict in time

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Users can also exploreother conflicts that are happening at the same time

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Finally, users can alsoexplore other conflicts whichare not happening at thesame time but which involvethe same flights

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Users can specify arbitrarypatterns using the Epsilon Pattern Language

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This pattern checks for flights withsimilar call signs (common source of confusion)

This pattern checks for conflicts thatoccur at the same time (challenging to handle)

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This pattern checks for conflicts thathappen while the occupancy of thesector is particularly high

This pattern checks for conflicts thatinvolve ascending/descending flights

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This pattern checks for periods inthe day with low visibility and strong winds

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Patterns can be matched against the state of the sectorover the 24hrs period

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The user can explore identifiedmatches through a dedicated view

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Pattern matches are also groupedby the elements of the airspace thatare involved in them to supportroot cause analysis