Noise analysis of aircraft departure procedures using MONTE CARLO simulation

Tommy Smits, Sander Hartjes, Mihaela Mitici

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

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Abstract

During arrival and departure procedures at an airport, aircraft generate noise. High levels of noise during these terminal procedures can have a negative impact on the communities located near the airport. We assess the impact of the noise generated by a standard instrument departure of a twin-engine narrow body mid-range aircraft over the communities nearby Amsterdam Airport Schiphol, the Netherlands. During the departure procedure, we consider a stochastic flight trajectory that is subject to lateral position errors. We estimate, using Monte Carlo simulation, the distribution of the sound exposure level and of the number of awakenings generated by a departure. We also identify the residential areas where the number of awakenings are overestimated or underestimated, when comparing a stochastic and a deterministic departure approach. Lastly, we approximate the distribution of the noise level for a generic aircraft departure, which can be further employed for further optimization of departure procedures.
Original languageEnglish
Title of host publicationProceedings of the Winter Simulation Conference
Subtitle of host publicationGothenburg, Sweden
Number of pages11
Publication statusPublished - 2018
EventWSC 2018: Winter Simulation Conference 2018: Simulation for a Noble Cause - Gothenburg, Sweden
Duration: 9 Dec 201812 Dec 2018
http://meetings2.informs.org/wordpress/wsc2018/

Conference

ConferenceWSC 2018: Winter Simulation Conference 2018
Abbreviated titleWSC 2018
CountrySweden
CityGothenburg
Period9/12/1812/12/18
Internet address

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