Hierarchical and sensitivity analysis for noise abatement departure procedures
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/2793
Tipus de documentComunicació de congrés
Data publicació2008-06
Condicions d'accésAccés obert
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Abstract
Nowadays, the establishment of new noise abatement procedures is one of the main
issues that airport authorities have to address. As a continuation of previous studies, the
authors present in this paper a strategy for designing such procedures aimed at reducing
the global annoyance perceived for the population living around the airports. Noise optimal
departing routes are computed for a specific aircraft type and for a given scenario. This
non-linear multi-objective optimal control problem is solved by using lexicographic and
hierarchical optimisation techniques. This approach establishes a hierarchical order among
all the optimisation objectives, which in this work are set as the maximum perceived noise
levels at different noise sensitive locations. If the prioritisation that should be adopted is not
clear, this work presents two techniques aimed at obtaining the best solution according to
an equitable principle, based on minimising the worst case noise annoyance. First approach
requires a high computational cost, but the best trajectory is obtained, being the opposite
case for the second technique, which is based on heuristics.
Descripció
Reprinted with permission of the American Institute of Aeronautics and Astronautics, Inc
CitacióPrats Menéndez, X. [et al.]. Hierarchical and sensitivity analysis for noise abatement departure procedures. A: The 26th Congress of the International Council of Aeronautical Science including the 8th AIAA Aircraft Technology Integration and Operations Conference. "The 26th Congress of the International Council of Aeronautical Science including the 8th AIAA Airdraft Technology Integration and Operations Conference Proceedings". 2008, ISBN 0-9533991-9-2.
ISBN0-9533991-9-2
Fitxers | Descripció | Mida | Format | Visualitza |
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ICAS2008.PDF | 1,218Mb | Visualitza/Obre |