MADANI, Irfan, GATSINZI, Dany and SAEZ-NIETO, Francesco Javier (2016). Hot Spot Identification and Mitigation at Strategic Level by Subliminal Changes in Aircraft Time of Arrival at Junction. In: Proceedings of the SESAR Innovation Days: Inspiring long-term research in the field of air traffic management. SESAR Joint Undertaking. [Book Section]
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Madani_HotSpotIdentification(AM).pdf - Accepted Version
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Madani_HotSpotIdentification(AM).pdf - Accepted Version
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Available under License All rights reserved.
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Abstract
This paper presents some results obtained when
applying a different criterion in Air Traffic Flow and Capacity
Management (ATFCM) measures. The approach is based on
reducing the probability of controller’s reactive interventions by
"hot spot" identification and mitigation at strategic level, by
applying minor changes on the aircraft’s Times of Arrival (TOA)
at the crossing or merging points (junctions). The concept of this
strategy is fully aligned with the Trajectory Based Operation
(TBO) principles. It is assumed that the changes on the times of
arrival only demand very small speed changes to the involved
aircraft (A/C). In this assessment, hot spots are established by
identifying groups of closely spaced A/C arriving at a junction. A
hot spot isolates the set of A/C involved in multiple conflicts, close
in their times of arrival at the junction, violating the minimum
required “safe” time separation at the junction. The minimum
safe time separation is established based on a chosen threshold
for the probability of collision obtained by considering the
different sources of uncertainties in the aircraft’s time of arrival
at junction.
Some exercises are proposed and solved by applying this
method. The obtained results show its ability to remove the
conflicts by applying simple linear optimization programming
tool. The effect of this method on the aircraft’s operating costs is
also analyzed.
This approach also seeks to change the current capacitylimiting factor, established by the number of aircraft occupying
simultaneously each sector, to another parameter where the level
of traffic complexity, flowing towards junctions, will be identified
and mitigated at strategic level.
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