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AIRNOISEUAM: An Urban Air Mobility Noise-Exposure Prediction Tool.
| 题名： | AIRNOISEUAM: An Urban Air Mobility Noise-Exposure Prediction Tool. |
| 作者： | Jinhua Li ##Yun Zheng##Menachem Rafaelof##Hok Ng##Stephen A. Rizzi |
| 摘要： | A new software tool called AIRNOISEUAM is introduced that models the noise exposure of Urban Air Mobility (UAM) operations. Given relevant UAM aircraft performance models, mission profiles, and Noise-Power-Distance data, AIRNOISEUAM predicts the noise exposure footprint for receptors on the ground. The performance of AIRNOISEUAM using a Robinson R66 helicopter model and a six-passenger quadrotor model, and a diverse set of scenarios from NASA’s UAM human-in-the-loop simulations is compared to that of the industry-standard tool with the same inputs. The predicted noise exposure results from both tools are found to be nearly identical. AIRNOISEUAM offers a fast-time, flexible interface and modular design to facilitate the dynamic requirements of the aviation research community. |
| 总页数： | 5 |
| 报告类型： | 科技报告 |
| 发布日期： | 2021 |
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