Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146538
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dc.contributor.authorDhief, Imenen_US
dc.contributor.authorLim, Zhi Junen_US
dc.contributor.authorGoh, Sim Kuanen_US
dc.contributor.authorPham, Duc-Thinhen_US
dc.contributor.authorAlam, Sameeren_US
dc.contributor.authorSchultz, Michaelen_US
dc.date.accessioned2021-02-25T06:11:24Z-
dc.date.available2021-02-25T06:11:24Z-
dc.date.issued2020-
dc.identifier.citationDhief, I., Lim, Z. J., Goh, S. K., Pham, D.-T., Alam, S., & Schultz, M. (2020). Speed control strategies for E-AMAN using holding detection-delay prediction model. Proceedings of 10th SESAR Innovation Days.en_US
dc.identifier.urihttps://hdl.handle.net/10356/146538-
dc.description.abstractReducing flight delays is considered one of the biggest challenges of the air transportation system due to its far-reaching economic, operational, and environmental impact. Airlines and Air Navigation Service Providers (ANSPs) must collaborate to optimize their procedures in order to manage delays. The SESAR Solution, Extended Arrivals Manager (E-AMAN), allows for early sequencing of the flights, thereby reducing the aircraft holding times and thus managing congestion in Terminal Maneuver Airspace (TMA). However, there is a lack of methodological approaches for transferring the flight delays and holdings from the approach phase to the cruise phase. To this end, we have approached this problem using both data-driven and optimization techniques. First, we propose a method to detect the holding pattern/time from historical trajectory data. Then a prediction model is introduced to predict holdings and delays 200NM from the airport. Finally, we develop an optimization model that takes the predicted delays as an input and provides the airlines/ANSPs with adequate speed adjustment, which can absorb delays in the approach phase and transfer them to the cruise phase. Results demonstrate that better prediction of holding pattern/time can lead to predicting the flight delays, in the approach phase, with high accuracy. Furthermore, the proposed speed control model shows that, with a speed reduction of less than 10% at 500NM from the airport, up to 70% of the initial delays could be absorbed in the cruise phase. As a result, the average delay per flight (at the approach phase) is decreased from 6 minutes to almost 2 minutes.en_US
dc.description.sponsorshipCivil Aviation Authority of Singapore (CAAS)en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.rights© 2021 SESARJU. All rights reserved.en_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Simulation and modelingen_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen_US
dc.subjectEngineering::Aeronautical engineering::Aviationen_US
dc.titleSpeed control strategies for E-AMAN using holding detection-delay prediction modelen_US
dc.typeConference Paperen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.conference10th SESAR Innovation Daysen_US
dc.contributor.researchAir Traffic Management Research Instituteen_US
dc.description.versionAccepted versionen_US
dc.subject.keywordsExtended AMANen_US
dc.subject.keywordsSpeed Controlen_US
dc.description.acknowledgementThis research is supported by the National Research Foundation, Singapore, and the Civil Aviation Authority of Singapore, under the Aviation Transformation Programme. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore and the Civil Aviation Authority of Singapore.en_US
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