AAM vehicles include urban air mobility (UAM) vehicles, regional air mobility (RAM) vehicles, and small unmanned aerial systems (sUAS). UAM and RAM vehicles may be manned or unmanned. ...AAM vehicles include urban air mobility (UAM) vehicles, regional air mobility (RAM) vehicles, and small unmanned aerial systems (sUAS). UAM and RAM vehicles may be manned or unmanned.
NASA remotely administered a psychoacoustic test in fall of 2022 as the first of two phases of a cooperative Urban Air Mobility (UAM) vehicle noise human response study. The development of the remote test method to study human response to aviation noise was prompted by the novel coronavirus pandemic. ...The implementation phase will use the remote test platform and leverage the cooperation of multiple government agencies, academia, and industry to assemble a wide range of UAM vehicle sounds. This database of sounds will be used to create a rich database of human response to UAM noise that would be challenging for a single organization to acquire. ...This database of sounds will be used to create a rich database of human response to UAM noise that would be challenging for a single organization to acquire. This paper details the results from remotely administering the Feasibility Test.
Community noise at vertiports is one of the most important questions related to upcoming urban air mobility (UAM) operations. While fixed-wing and/or fixed-rotor aircraft can mainly be treated by their changing operational parameters, such as rotor or propeller rpm, tilt-wing or tilt-engine configurations are more difficult to simulate because of their constantly changing noise emission and spatial radiation characteristics.
The future is expected to bring Advanced Air Mobility (AAM) vehicles, including small unmanned aerial systems (sUAS), urban air mobility (UAM) vehicles and regional air mobility (RAM) vehicles. These manned and unmanned vehicles are propelled by rotors.
This test investigated whether sound quality metrics (tonality, sharpness, etc.) may be useful for predicting noise-induced annoyance to notional sounds of Urban-Air Mobility (UAM) vehicles (“air taxis”, perhaps). A suite of 137 short (5 second long) samples of UAM noise was synthesized based upon aeroacoustic predictions of a NASA reference UAM quadrotor aircraft under several flight conditions. ...A suite of 137 short (5 second long) samples of UAM noise was synthesized based upon aeroacoustic predictions of a NASA reference UAM quadrotor aircraft under several flight conditions. The synthesizer had parameters that could change aspects of the sound such as, for instance, the blade-passage frequency, the balance of tonal rotor noise to broadband noise, and aspects of the motor noise.
Expanding various future motilities such as PBV(Purpose Built Vehicle), UAM(Urban Air Mobility), and Robo-taxi, the application of autonomous driving system (ADS) technology is also spreading. In order to prepare for the disruption of autonomous vehicle operation or the occurrence of an accident, and to secure customer safety, important is monitoring the anomaly of a vehicle. In this study, the process to diagnose the anomaly and to evaluate the remaining useful life of chassis system of the vehicle under autonomous driving conditions is established. Once an autonomous driving simulation model of the vehicle with Modelica is constructed, a lane keeping assistant (LKA) system with Matlab is combined with the model to perform the driving simulations. Applying the degrading data of three kinds of chassis systems (a shock absorber damper, a suspension bush, and a tire), the deteriorated LKA behavior is monitored with K-NN (K-nearest neighbor) and GMM (Gaussian Mixture Model).
Battery states such as state of charge (SOC), state of temperature (SOT), and state of power (SOP) are of particular interest for urban air mobility (UAM) applications. This article proposes a new safety-oriented multi-state estimation framework for collaboratively updating the SOC, SOT, and SOP of lithium-ion batteries under typical UAM mission profiles, which explicitly incorporates the underlying interplay among these three states. ...This article proposes a new safety-oriented multi-state estimation framework for collaboratively updating the SOC, SOT, and SOP of lithium-ion batteries under typical UAM mission profiles, which explicitly incorporates the underlying interplay among these three states.
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On-demand ridesharing services that take you above the traffic. Archer Aviation is making this vision a reality with its eVTOL aircrafts on SAE Tomorrow Today Ep. 117