Prediction of Noise-Power-Distance Data for Urban Air Mobility Vehicles

Abstract

In contrast to most commercial air traffic today, vehicles serving the urban air mobility (UAM) market are anticipated to operate within communities and be close to the public at large. The approved model for assessing environmental impact of air traffic actions in the United States, the Federal Aviation Administration Aviation Environmental Design Tool (AEDT), does not directly support analysis of such operations due to a combined lack of UAM aircraft flight performance model data and aircraft noise data. This paper addresses the latter by offering two prediction-based approaches for generation of noise–power–distance data for use within AEDT. One utilizes the AEDT fixed-wing aircraft modeling approach, and the other utilizes the AEDT rotary-wing aircraft modeling approach.