Browsing by Author "Aalmoes, R."
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    Communiceren over geluid rondom windparken
    (Netherlands Aerospace Centre NLR, 2017) Aalmoes, R. ; Boer, M. den
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    A conceptual third party risk model for personal and unmanned aerial vehicles
    (National Aerospace Laboratory NLR, 2015) Aalmoes, R. ; Cheung, Y.S. ; Sunil, E. ; Hoekstra, J.M. ; Bussink, F.J.L.
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    Engaging Communities in the Hard Quest for Consensus
    (Springer, 2022) Heyes, G. ; Hauptvogel, D. ; Benz, S. ; Schreckenberg, D. ; Hooper, P. ; Aalmoes, R.
    Mistrust, negative attitudes and the expectation of not having any voice against airport authorities can considerably impact on the perception of aircraft noise exposure, lead to increased annoyance and can even influence sleep quality of the noise affected residents. As a result, quality of life can reasonably be assumed to be reduced. This chapter focuses on measures to engage airport communities in aviation-related decision making by improving the information and communication of airports in order to enhance residents’ ‘competence’ and also trust in the airport noise authorities. The role of non-acoustical factors, including aviation-related media coverage in this process, is discussed and results from a media coverage analysis conducted in the ANIMA project are presented. Based on research on perceived fairness in communication, recommendations are given as to how to communicate and engage residents with the aim of building a neighbourly relationship between airport authorities and residents on an even footing and, thus, enable an improved exchange leading to deeper understanding and comprehension by both parties. Results from the ANIMA review on airport management strategies (including communication and engagement aspects) of several European airports are presented and conclusions are drawn about what characterises good (or bad) communication and community engagement strategies for the purpose of a neighbourly relationship between the airport and its residents.
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    Evaluation of Auralization and Visualization Systems for Railway Noise Scenes
    (Netherlands Aerospace Centre NLR, 2017) Pieren, R. ; Heutschi, K. ; Aalmoes, R. ; Simons, D.G.
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    Noise computation for future urban air traffic systems
    (National Aerospace Laboratory NLR, 2015) Arntzen, M. ; Aalmoes, R. ; Bussink, F.J.L. ; Sunil, E. ; Hoekstra, J.
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    Perception and Presence in Virtual Reality for Simulated Aircraft Noise
    (Netherlands Aerospace Centre NLR, 2018) Letwory, N.P. ; Aalmoes, R. ; Miltenburg, M.P.G. van
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    Performance improvements for calculations of third party risk around airports
    (National Aerospace Laboratory NLR, 2013) Aalmoes, R. ; Erkamp, R. ; Cheung, Y.S. ; Nieuwpoort, R. van
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    Serious games to advance change in ATM
    (National Aerospace Laboratory NLR, 2015) Maij, A. ; Nieuwenhuisen, D. ; Aalmoes, R. ; Faber, E.
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    Serious Gaming for Change in Air Traffic Management
    (National Aerospace Laboratory NLR, 2015) Faber, E. ; Aalmoes, R. ; Groot, de, T. ; Hrynkiewicz, R. ; Nieuwenhuisen, D.
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    Simulation of unmanned aerial vehicles in the determination of accident locations
    (National Aerospace Laboratory NLR, 2016) Haartsen, Y. ; Aalmoes, R. ; Cheung, Y.S.
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    Sound Perception Study of Auralized Novel Propeller Design for Future Electrical Air Mobility Platforms
    (AIAA, 2024) Aalmoes, R. ; Knepper, K.M. ; Sieben, N.R. ; Haan, W. de ; Margalida, G. ; Sinnige, T.
    To reduce climate impact of aviation, it is imperative to consider to introduce aircraft based on electrical engines. These electrical aircraft replace jet engines by propeller-driven propulsion systems, making the propeller the dominant noise source. A quieter and more efficient propeller blade design may generate a different noise signature, justifying a perception study to assess overall noise impact. In this study, a novel designed propeller “S2PROP” is compared with a baseline propeller “XPROP”. Both blades were measured in an aeroacoustic wind-tunnel, and wind-tunnel measurements of tonal and broadband noise were used as an input to generate fly-over sound samples of an aircraft equipped with these propellers. Atmospheric absorption, the secondary ground reflection path and Doppler effect were considered in creating a synthesized flyover sound. A noise simulator with virtual reality glasses and headphones was used to simulate both a visual and audible flyover procedure for participants of the perception study. Although a noise reduction is attained at the highest sound level around 600Hz for the S2PROP, it also generates higher broadband sounds at higher frequencies, resulting in finding no significant differences in perceived loudness or annoyance in the study between the two propeller designs.
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    Strategy for development of airport noise enforcement models
    (National Aerospace Laboratory NLR, 2012) Aalmoes, R. ; Bergmans, D.H.T. ; Kruger-Dokter, A.M.
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    Towards Innovative Ways to Assess Annoyance
    (Springer, 2022) Lavandier, C. ; Aalmoes, R. ; Dedieu, R. ; Marki, F. ; Grossarth, S. ; Schreckenberg, D. ; Gharbi, A. ; Kotzinos, D.
    Technological changes have driven the developments in the field of noise annoyance research. It helped to increase knowledge on the topic substantially. It also provides opportunities to conduct novel research. The introduction of the internet, the mobile phone, and miniaturisation and improved sensor technology are at the core of the three research examples presented in this chapter. The first example is the use of a Virtual Reality simulation to evaluate aircraft flyovers in different environments, and it examines how visual perception influences noise annoyance. The second example describes the use of a mobile application applying an Experience Sampling Method to assess noise annoyance for a group of people living near an airport. The third and final example is a study over social media discussions in relation to noise annoyance and quality of life around airports. These three examples demonstrate how novel technologies help to collect and analyse data from people who live around airports, and so improve our understanding of the effect of noise on humans.
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    Virtual Reality Aircraft Noise Simulation for Community Engagement
    (Netherlands Aerospace Centre NLR, 2018) Aalmoes, R. ; Boer, M. den ; Veerbeek, H.W.