Introduction to the Special Issue on advanced air mobility noise
Predictions, measurements, and perceptiona)
Damiano Casalino (TU Delft - Aerospace Engineering)
Beckett Zhou (Georgia Institute of Technology)
Eric Greenwood (The Pennsylvania State University)
Matthew A. Boucher (NASA Langley Research Center)
Alexandra Loubeau (NASA Langley Research Center)
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Abstract
This Special Issue focuses on noise associated with advanced air mobility (AAM), an emerging class of predominantly electric distributed-propulsion aircraft designed for urban and regional transportation. As these vehicles move toward certification and deployment, noise has become a central challenge for regulatory approval and public acceptance, particularly due to operations in densely populated areas and at low altitudes. The 24 contributions in this issue address three key aspects of AAM noise: prediction, measurement, and human perception. Prediction studies span a wide range of modeling fidelities, from high-resolution simulations to improved semi-analytical approaches, and examine complex aeroacoustic mechanisms, including rotor interactions, turbulence ingestion, and broadband noise generation. Measurement studies, largely at model scale, provide new insights into tonal and broadband noise characteristics across configurations and operating conditions, while supporting model validation. Perception-focused contributions investigate annoyance, sound quality metrics, and auralization, emphasizing the role of context and operational factors in shaping human response. Together, these works highlight the interdisciplinary nature of AAM noise research and the need for integrated approaches to enable quieter vehicle design.