A Noise Prediction Tool For Iam And Aam In Urban Environments

Abstract

New technologies are paving the way for Innovative and Advanced Air Mobility (IAM/AAM) like Unmanned Aerial Vehicles (UAV) and Urban Air Mobility (UAM). Numerous of such systems are being developed and the majority uses electrically driven rotors and/or propellers for thrust generation. Besides thrust, rotors and pro-pellers also generate noise, causing annoyance for people in and around the IAM/AAM. Predicting this noise is therefore important for policy makers and developers of IAM/AAM. This paper describes the development of such a tool which is relatively fast so that e.g. policy makers can use it to predict noise along certain trajec-tories or define noise abatement procedures. For IAM/AAM developers a fast noise prediction tool is very useful in the concept design phase. For prediction of annoyance on the ground, it is also important to take the environment into account in which the noise propagates. This paper is therefore organized in three sections: a section about the noise source modelling, a section about the propagation model and a section showing how these predictions can be used in a Virtual Reality (VR) environment for noise annoyance perception studies.