Comparative UAV Noise-Impact Assessments through Survey and Noise Measurements

Ivošević, Jurica; Ganić, Emir; Petošić, Antonio; Radišić, Tomislav

doi:10.3390/ijerph18126202

Cited by 11 publications

(2 citation statements)

References 38 publications

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“…Hui et al [ 3 ] investigated the perception (in a subjective, laboratory-based experiment) of a series of drone sounds, accounting for different operating conditions in terms of flight mode and height above the ground. Ivošević et al [ 18 ] carried out a survey where a series of participants reported their in situ subjective assessment on drone noise during a series of drone operations in an open field.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Metrics for Assessing Human Response to Drone Noise

Torija

Nicholls

2022

IJERPH

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Novel electric air transportation is emerging as an industry that could help to improve the lives of people living in both metropolitan and rural areas through integration into infrastructure and services. However, as this new resource of accessibility increases in momentum, the need to investigate any potential adverse health impacts on the public becomes paramount. This paper details research investigating the effectiveness of available noise metrics and sound quality metrics (SQMs) for assessing perception of drone noise. A subjective experiment was undertaken to gather data on human response to a comprehensive set of drone sounds and to investigate the relationship between perceived annoyance, perceived loudness and perceived pitch and key psychoacoustic factors. Based on statistical analyses, subjective models were obtained for perceived annoyance, loudness and pitch of drone noise. These models provide understanding on key psychoacoustic features to consider in decision making in order to mitigate the impact of drone noise. For the drone sounds tested in this paper, the main contributors to perceived annoyance are perceived noise level (PNL) and sharpness; for perceived loudness are PNL and fluctuation strength; and for perceived pitch are sharpness, roughness and Aures tonality. Responses for the drone sounds tested were found to be highly sensitive to the distance between drone and receiver, measured in terms of height above ground level (HAGL). All these findings could inform the optimisation of drone operating conditions in order to mitigate community noise.

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Section: Introductionmentioning

confidence: 99%

Investigation of Metrics for Assessing Human Response to Drone Noise

Torija

Nicholls

2022

IJERPH

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“…Recently, UAV technology has improved due to the development of eVTOL and battery technologies. Moreover, autonomous flight for UAVs has been researched due to the development of information and communication technologies (ICT) [8]. Figure 1 indicates the general structure of a UAV.…”

Section: Introductionmentioning

confidence: 99%

Design of Secure Handover Authentication Scheme for Urban Air Mobility Environments

et al. 2022

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Urban air mobility (UAM) is a future air transportation system to solve the air pollution and movement efficiency problems of the traditional mobility system. In UAM environments, unmanned aerial vehicles (UAV) are used to transport passengers and goods providing various convenient services such as package delivery, air bus, and air taxi. However, UAVs communicate with ground infrastructures through open channels that can be exposed to various security attacks. Therefore, a secure mutual authentication scheme is necessary for UAM environments. Moreover, a handover authentication is also necessary to ensure seamless communication when the service location is changed. In this paper, we design a secure and efficient handover authentication scheme for UAM environments considering various security vulnerabilities and efficiency using elliptic curve cryptography (ECC). We utilize informal security analysis, Real-or-Random (RoR), Burrows-Abadi-Needham (BAN) logic, and Automated Validation of Internet Security Protocols and Applications (AVISPA) to prove the security of the proposed scheme. Furthermore, we compare the computation and communication cost comparisons of the proposed scheme with the other related schemes. The results show that the proposed scheme is secure and efficient for UAM environments.

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