DroneNoise: Addressing Public Health and Wellbeing Harms for a Sustainable Drone Sector
Lead Research Organisation:
University of Salford
Department Name: Sch of Computing, Science & Engineering
Abstract
There is currently a risk that drones are taking to the air without sufficient consideration of their noise impact on public health and wellbeing. Government and industry agree that drone technologies will lead to a significant business opportunity. Drones are expected to support an efficient provision of public services, and therefore deliver substantial societal benefits. But there is a very real barrier to making this a reality - none of this can happen if noise issues are not taken care of at design, operation and policy levels.
The pandemic crisis has served to propel the use of drones to deliver food and medicines. It is now more certain that drone technologies will be widely adopted in the short future for a range of applications from parcel delivery to transport of people. These applications are set to grow thanks to the EC U-space and UK Future Flight initiatives, which are creating a clear framework to allow the creating of a market for drone services. However, the noise of hundreds of drones flying around will certainly lead to conflicts with communities.
To date, there is not a comprehensive understanding on how drone noise is perceived and what can be done to operate drones without affecting public health and wellbeing. Noise is already a serious issue. As reported by the European Environment Agency, environmental noise already causes approximately 16,600 cases of premature death in Europe each year, with almost 32 million adults suffering annoyance and over 13 million adults suffering sleep disturbance.
Assessing noise perception of drones and developing actions to mitigate their impact on communities is challenging, due to their unconventional sound signatures and operating procedures. Standard measures of sound power (proposed in EU Regulation 2019/945) are inadequate to characterise this. But it's also an opportunity to innovate in the way transportation noise issues are dealt with.
In this project, I will develop models to predict human response to drone noise. Integrated into the design cycle, these perception noise models will allow to noise issues to be anticipated early in the design process. This approach will avoid costly and inefficient ad hoc corrections at later stages, and therefore, will go beyond the traditional approach on aircraft noise assessment.
I will investigate how context influences drone noise perception. People won't perceive a drone delivering a parcel to their neighbours equally to a drone providing medical supplies. Furthermore, I will investigate noise annoyance and audibility for a comprehensive set of drone operating conditions, to define acceptable noise characteristics for drone operations. The outcomes of my project will inform how and where to fly drones to minimise impact on existing soundscapes.
The work in my project will be connected to industry design, policy making and organisations lobbing for noise abatement, through a steering group with the main drone stakeholders. I will develop a toolkit to aid manufacturers to reduce the noise impact of their vehicles. Developing quiet technologies will give the UK drone industry, which has over 700 entities, an edge in a highly competitive market both domestic & overseas. I will also write a policy brief to inform regulations for operating drones with less impact on people's health and wellbeing. Regulations for quiet drone operations would allow greater usage for the benefit of the people in the UK.
The outcomes of my project are planned to have direct impact in the small-to-medium size drone market, and set the foundations for potential future impact in drones for transport of people.
In summary, my work will address the noise issues related to the design and operation of drones, to aid drone stakeholders to ensure community acceptance, and contribute to the sustainable expansion of the sector. This will contribute to maintain the UK world-leading position on drone research and development.
The pandemic crisis has served to propel the use of drones to deliver food and medicines. It is now more certain that drone technologies will be widely adopted in the short future for a range of applications from parcel delivery to transport of people. These applications are set to grow thanks to the EC U-space and UK Future Flight initiatives, which are creating a clear framework to allow the creating of a market for drone services. However, the noise of hundreds of drones flying around will certainly lead to conflicts with communities.
To date, there is not a comprehensive understanding on how drone noise is perceived and what can be done to operate drones without affecting public health and wellbeing. Noise is already a serious issue. As reported by the European Environment Agency, environmental noise already causes approximately 16,600 cases of premature death in Europe each year, with almost 32 million adults suffering annoyance and over 13 million adults suffering sleep disturbance.
Assessing noise perception of drones and developing actions to mitigate their impact on communities is challenging, due to their unconventional sound signatures and operating procedures. Standard measures of sound power (proposed in EU Regulation 2019/945) are inadequate to characterise this. But it's also an opportunity to innovate in the way transportation noise issues are dealt with.
In this project, I will develop models to predict human response to drone noise. Integrated into the design cycle, these perception noise models will allow to noise issues to be anticipated early in the design process. This approach will avoid costly and inefficient ad hoc corrections at later stages, and therefore, will go beyond the traditional approach on aircraft noise assessment.
I will investigate how context influences drone noise perception. People won't perceive a drone delivering a parcel to their neighbours equally to a drone providing medical supplies. Furthermore, I will investigate noise annoyance and audibility for a comprehensive set of drone operating conditions, to define acceptable noise characteristics for drone operations. The outcomes of my project will inform how and where to fly drones to minimise impact on existing soundscapes.
The work in my project will be connected to industry design, policy making and organisations lobbing for noise abatement, through a steering group with the main drone stakeholders. I will develop a toolkit to aid manufacturers to reduce the noise impact of their vehicles. Developing quiet technologies will give the UK drone industry, which has over 700 entities, an edge in a highly competitive market both domestic & overseas. I will also write a policy brief to inform regulations for operating drones with less impact on people's health and wellbeing. Regulations for quiet drone operations would allow greater usage for the benefit of the people in the UK.
The outcomes of my project are planned to have direct impact in the small-to-medium size drone market, and set the foundations for potential future impact in drones for transport of people.
In summary, my work will address the noise issues related to the design and operation of drones, to aid drone stakeholders to ensure community acceptance, and contribute to the sustainable expansion of the sector. This will contribute to maintain the UK world-leading position on drone research and development.
Organisations
- University of Salford (Lead Research Organisation)
- ESRC (Co-funder)
- National Aeronautics and Space Administration (NASA) (Collaboration)
- Department of Transport (Collaboration)
- University of Bristol (Collaboration)
- DronePrep (Project Partner)
- University of Bristol (Project Partner)
- Virginia Polytechnic Inst & State Uni (Project Partner)
- Blue Bear Systems Research Ltd (Project Partner)
- NESTA (Project Partner)
- The Noise Abatement Society (Project Partner)
Publications
Amargianitakis D
(2024)
Toward Estimating Noise-Power-Distance Curves for Propeller-Powered Zero-Emission Hydrogen Aircraft
in Journal of Aircraft
Casagrande Hirono F
(2024)
Acoustic and psychoacoustic characterisation of small-scale contra-rotating propellers
in Journal of Sound and Vibration
Casagrande Hirono F
(2024)
Aerodynamic and aeroacoustic design of electric ducted fans
in Aerospace Science and Technology
Green N
(2024)
Perception of noise from unmanned aircraft systems: Efficacy of metrics for indoor and outdoor listener positions.
in The Journal of the Acoustical Society of America
Hirono F.C.
(2022)
Optimization of a contra-rotating propeller rig for reduced psychoacoustic impact
in Internoise 2022 - 51st International Congress and Exposition on Noise Control Engineering
Lotinga M
(2023)
Noise from Unconventional Aircraft: A Review of Current Measurement Techniques, Psychoacoustics, Metrics and Regulation
in Current Pollution Reports
Nicholls R.K.
(2022)
Assessment of drone noise impact on urban soundscapes
in Internoise 2022 - 51st International Congress and Exposition on Noise Control Engineering
Ramos-Romero C
(2024)
On-field measurement for sUAS noise characterization
| Title | Multi-propeller Vehicle's Noise - Supplementary Material |
| Description | The supplementary material folder contains recorded (outdoor) and synthesized signals from four small multi-propeller platforms: XAG P40 (X4), DJI Matrice 300 RTK (M3), Yuneec H520E (Yn), and DJI Mini 3 Pro (3p).Hovering: This folder includes synthesized broadband and tonal components for the four drones in a static flight condition: X4, M3, Yn, and 3p.Flyover: This folder contains auralized forward-flight signals for the M3 drone at 15 m/s and the X4 drone at 3.7 m/s, both at a height of 10 meters. The receiver position assumes a fully reflective surface at ground level." |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://salford.figshare.com/articles/media/Multi-propeller_Vehicle_s_Noise_-_Supplementary_Material... |
| Description | After the completion of the project, the key outcomes were: -Development of a methodology for assessing the noise produced by drones under real operations. This methodology can be relevant in establishing common protocols regarding sUAS acoustic certification between environmental policymakers, stakeholders, and industry. -Development of a comprehensive dataset of drone sounds and associated values of noise annoyance. This dataset has been made openly available for researchers and stakeholders interested in drone noise. The value of the dataset is that it provides information on the noise emission (and resultant noise annoyance) for a number of operating conditions of drones, including different flight maneuvers and flyover altitude). -Understanding of the relationship between drone sound characteristics and noise annoyance. This information is key for the development of metrics to assess human response to drone noise. -Development of a framework for aiding drone design for lower noise impact on communities. This framework allows the simulation of the sound received at a given receiver on the ground as a consequence of a drone operation. It also allows the prediction of psychoacoustic metrics for different operating conditions of propulsion systems. -Development of an auralisation and assessment framework to assess the frequency and temporal characteristics of drone noise under realistic operations. These outcomes have met the award's original objectives. |
| Exploitation Route | The dataset gathered in this project can be used by researchers working on aeroacoustics to improve acoustic modelling capabilities for drones. It can also be used by regulators and policy makers for developing new guidance and regulation on drone noise (including methods for assessment and noise limits). The modelling framework could be extended to link noise perception with aerodynamic design, further improving the embedding of noise in the design cycle of propulsion technologies or novel aircraft. The outcomes of this project are focused on small vehicles (e.g., below 100 kg of total weight). The methods developed in this project could be extended to account for the acoustic characteristics of bigger vehicles, such as eVTOLs, where sound generation mechanisms are likely different. |
| Sectors | Aerospace Defence and Marine Communities and Social Services/Policy Environment Transport |
| Description | As part of our ongoing collaboration with the UK Civil Aviation Authority, a dataset with noise metrics for a number of drone types and operations has been provided to them. That data will be shared with an ICAO Working Group (WG1) tasked with considering noise certification approaches for Emerging Technology Aircraft. In addition to this, our research findings on human response to drone noise have been highlighted in a technical report published by the UK Civil Aviation Authority. The title of that report is "Emerging Technologies: The effects of eVTOL aircraft noise on humans" (CAP 2505). This report provided an overview of the current state of knowledge concerning eVTOL aircraft noise and the potential effects on people, to identify research gaps needed for policy development. Thanks to the expertise and profile achieved during this project, the PI, Prof. Antonio J Torija Martinez, has been appointed as an expert member of the NATO AVT TG-414 Acoustic Mission Planning and Environmental Impact Analysis for UAS and UCA. The PI has used the resources provided by this project to develop a new research area on Perception-Driven Engineering. The key innovation is linking psychoacoustics (or how people respond to noise) with physics or aerodynamic parameters in engineered systems (drones). The approach allows the improvement of drone designs to minimise the impact on people of the noise they produce. Thanks to this work, aerodynamic and aeroacoustic experts (from leading institutions such as the University of Cambridge, the University of Bristol; and industry) are considering psychoacoustics as part of their research agendas. As part of an ongoing collaboration with colleagues of the University of Cambridge's Whittle Laboratory, part of the modelling tools and methods developed in this project has been used to improve the design of a novel, efficient and quiet propulsion system for drones (see IPM5 propulsor at https://www.greenjets.com/). The relationship between flow coefficient as key design parameter and noise annoyance has the potential to influence the design of electric ducted fans for drones (see https://doi.org/10.1016/j.ast.2024.109411). From the PI perspective, one of the objectives of the New Investigator Award was to 'become a world leader in the psychoacoustics of environmental noise'. Thanks to the resources provided by the project to enhance skills as a leading researcher and expand the network of collaborators, the PI has achieved a status of international recognition. A key milestone of the project was the organisation of the international conference QuietDrones (https://www.quietdrones.org/about-en/), and a workshop on perception influenced engineering for aircraft noise in collaboration with NASA. I have been suggested as the world most relevant author on UAS noise monitoring, assessment, and prediction (see: https://doi.org/10.3390/acoustics6040055). In addition to this, he has also secured substantial funding for work on a common topic of Perception-Driven Engineering and Psychoacoustics. In terms of professional development of the PDRA, the resources provided by EPSRC have allowed him to attend a series of training events to enhanced his capabilities as a leading expert in signal processing and psychoacoustics (e.g., EAA Summer School on auditory modelling and psychoacoustic research, and UKAN+ Summer School on 'Digital Signal Processing (DSP) with applications to Acoustics'). He has also increased his network of collaborators and research profile. He has delivered three invited talks: (1) Kolloquium Acoustic and Psychoacoustic Assessment of Unmanned Aerial System Operations. Technische Universität München - School of Engineering and Design. November 21, 2023. On-line; (2) Symposium Contributions on Acoustics and Psychoacoustic evaluation of UAS. V National and III Latin American Noise Symposium - Mexico D.F., September 7-8, 2023. On-line; (3) Postgraduates Seminar Industrial Applications of Acoustic Engineering. Universidad Politécnica de Madrid - Industrial Engineering Master Program. November 28, 2022. On-line. He has secured funding to enhance his skills as a leading researcher. He will carry out a research visit at the TU Delft, where he will be trained in aeroacoustics and will collaborate in the development and writing of a peer-reviewed journal paper. |
| First Year Of Impact | 2023 |
| Sector | Aerospace, Defence and Marine,Communities and Social Services/Policy |
| Impact Types | Economic Policy & public services |
| Description | I gave evidence on health effects of noise at a House of Lord's Science & Technology inquiry |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| URL | https://publications.parliament.uk/pa/ld5803/ldselect/ldsctech/232/23206.htm |
| Description | Impact and capacity Assessment Framework for U-space Societal Acceptance (ImAFUSA) |
| Amount | € 1,000,000 (EUR) |
| Funding ID | 10080939 |
| Organisation | European Commission |
| Sector | Public |
| Country | Belgium |
| Start | 08/2023 |
| End | 02/2026 |
| Description | Reducing Environmental Footprint through transformative Multi-scale Aviation Planning (REFMAP) - Call: HORIZON-CL5-2022-D5-01 |
| Amount | € 5,000,000 (EUR) |
| Funding ID | 101096698 |
| Organisation | European Commission |
| Sector | Public |
| Country | Belgium |
| Start | 02/2023 |
| End | 01/2026 |
| Description | University of Salford (The) and Greenjets Limited KTP22_23 R4 (ref. 10058634) |
| Amount | £149,568 (GBP) |
| Organisation | Innovate UK |
| Sector | Public |
| Country | United Kingdom |
| Start | 07/2023 |
| End | 02/2026 |
| Title | Auralisation Framework for Advanced Air Mobility Noise |
| Description | Development of an auralisation framework for the synthesis of Advanced Air Mobility noise. The auralisation framework can take input data from acoustic models (in development) or acoustic measurements, and re-synthesise broadband and tonal noise to simulate a variety of operating conditions. This initial work for the development of the auralisation framework will be presented in the upcoming AIAA 2024 conference (title: Synthesis and Auralisations of Quadcopter Flyovers for Psychoacosutic Assessment) |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2024 |
| Provided To Others? | No |
| Impact | Innovations of auralisation framework: -Able to account for amplitude modulation and temporal unsteadiness (typical in drones). -Sound rendering to binaural and ambisonics. -Integration with VR techniques. |
| Title | DNM_mics_line |
| Description | The code written in Python allows the processing of multi-channel acoustic data gathered with a microphone array for drone operations outdoors to build acoustic hemispheres for a set of acoustic metrics (LAE, Lmax, frequency bands, tonal vs. broadband noise). |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | The code allows the processing and reporting of acoustic data according to the main existing guidance on drone noise measurements (published by EASA and NASA). |
| URL | https://github.com/cramosromero/DNM_mics_line.git |
| Title | DroneNoise Database |
| Description | DroneNoise Project Founded by EPSRC. Authors: Carlos Ramos-Romero, Nathan Green, César Asensio and Antonio J Torija Martinez The database was constructed from sUAS noise recorded under field conditions during the measurement campaign in Edzell, Scotland, on 17 August 2022. The first part of the data includes only results from overflight operations. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://salford.figshare.com/articles/dataset/DroneNoise_Database/22133411/3 |
| Title | DroneNoise Database |
| Description | DroneNoise Project Founded by EPSRC. Authors: Carlos Ramos-Romero, Nathan Green, César Asensio and Antonio J Torija Martinez The database was constructed from sUAS noise recorded under field conditions during the measurement campaign in Edzell, Scotland, on 17 August 2022. The first part of the data includes only results from overflight operations. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://salford.figshare.com/articles/dataset/DroneNoise_Database/22133411/1 |
| Title | DroneNoise Database |
| Description | DroneNoise Project Founded by EPSRC. Authors: Carlos Ramos-Romero, Nathan Green, César Asensio and Antonio J Torija Martinez The database was constructed from sUAS noise recorded under field conditions during the measurement campaign in Edzell, Scotland, on 17 August 2022. The first part of the data includes only results from overflight operations. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Data on drone noise openly available for other researchers and stakeholders. Data could be used to improve modelling capabilities and to aid policy making. |
| URL | https://salford.figshare.com/articles/dataset/DroneNoise_Database/22133411 |
| Title | DroneNoise Database |
| Description | DroneNoise Project Founded by EPSRC. Authors: Carlos Ramos-Romero, Nathan Green, César Asensio and Antonio J Torija Martinez The database was constructed from sUAS noise recorded under field conditions during the measurement campaign in Edzell, Scotland, on 17 August 2022. The first part of the data includes only results from overflight operations. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://salford.figshare.com/articles/dataset/DroneNoise_Database/22133411/2 |
| Title | DroneNoise Database |
| Description | Ramos Romero, Carlos; Torija Martinez, Antonio Jose; Green, Nathan; Asensio, César (2023): DroneNoise Database. University of Salford. Dataset. https://doi.org/10.17866/rd.salford.22133411.v1 The database was constructed from sUAS noise recorded under field conditions during the measurement campaign in Edzell, Scotland, on 17 August 2022. The first part of the data includes only results from overflight operations. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | This dataset includes audio recordings and acoustic metrics for a series of drone operations. This data can be used by researchers for developing models for drone noise, and also to conduct psychoacoustic research. |
| URL | https://salford.figshare.com/articles/dataset/DroneNoise_Database/22133411/1 |
| Title | Sound and Sound Quality Metric Data |
| Description | Sound and Sound Quality Metric information about the audio stimuli used within the listening experiment |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | Data on drone noise openly available for other researchers and stakeholders. Data could be used to improve modelling capabilities and to aid policy making. |
| URL | https://salford.figshare.com/articles/dataset/Sound_and_Sound_Quality_Metric_Data/24998678 |
| Title | Sound and Sound Quality Metric Data |
| Description | Sound and Sound Quality Metric information about the audio stimuli used within the listening experiment |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://salford.figshare.com/articles/dataset/Sound_and_Sound_Quality_Metric_Data/24998678/1 |
| Title | pywopwop |
| Description | This package aims to provide an easier interface to interact with PSU-WOPWOP input files, mainly geometry patch files and functional loading files. A Python framework is provided to facilitate reading existing files, interacting and inspecting the data using a Python console, and creating PSU-WOPWOP input files from Python data. PSU-WOPWOP is a research code for acoustic prediction of rotor noise developed by Penn State University. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | This code allows the interface between Computational Fluid Dynamics data (acoustic pressure and geometry) and the acoustics prediction code PSU-WOPWOP. This code can be used by researchers working on the acoustic prediction of rotary systems. |
| URL | https://github.com/fchirono/pywopwop.git |
| Description | Collaboration with Aerodynamics and Aeroacoustics group at the University of Bristol |
| Organisation | University of Bristol |
| Department | Queen's School of Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Psychoacoustic analysis and assessment of ducted fan propulsors for aviation. Development of physics-based models of noise annoyance. |
| Collaborator Contribution | Aerodynamic and acoustic data of a series of ducted fan propulsors for aviation |
| Impact | Paper in preparation for the AIAA 2024 conference (Rome, June 2024). Title: Boundary layer ingestion ducted fan: aeroacoustic and psychoacoustic insights Paper in preparation for the peer-reviewed journal "Aerospace Science and Technology. Title: Aeroacoustics-psychoacoustics characterisation of a boundary layer ingestion ducted fan |
| Start Year | 2023 |
| Description | Collaboration with NASA on Advanced Air Mobility noise |
| Organisation | National Aeronautics and Space Administration (NASA) |
| Department | NASA Langley Research Centre |
| Country | United States |
| Sector | Public |
| PI Contribution | In July 2022, I visited NASA Langley as part of my New Investigator Award. During this visit, I presented my research on drone noise, I was trained in aircraft noise auralisation and psychoacoustic methods, and also increase my network of potential collaborators. |
| Collaborator Contribution | Training in the use of the NASA Auralization Framework and psychoacoustic method for assessing aircraft noise. First step in the potential formalisation for an international collaboration agreement between NASA and the University of Salford in the framework of Advanced Air Mobility noise. |
| Impact | -Licence of the NASA Auralization Framework granted to the University of Salford. -Membership of the NASA Urban Air Mobility Noise (UAM) Working Group. -Invited talk for the NASA UAM Noise Working Group. -Ongoing discussion for the formalisation of an international collaboration agreement between NASA and the University of Salford in the framework of Advanced Air Mobility noise. |
| Start Year | 2022 |
| Description | Drone Noise Research for Policy Making |
| Organisation | Department of Transport |
| Department | Civil Aviation Authority (CAA) |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | As part of this collaboration, we have fortnightly meetings with colleagues of CAA. The purpose of these meetings is twofold: 1. Collaborate with CAA in the development of a framework to inform policy development in drone noise. 2. Present the research outcomes of the EPSRC DroneNoise project to the colleagues of CAA and DfT, for them to critically appraise and guide to maximise impact. |
| Collaborator Contribution | -Support and guidance in the design of a psychoacoustic experiment for the development of dose-response relationships for drone noise. -Collaboration in the planning of an measurement campaign of drone noise to produce a comprehensive database to aid research and policy development -Workshop with CAA and DfT colleagues to discuss the outcomes of this activity and contribute to defining a roadmap for policy making on drone noise in the UK. |
| Impact | Funding for drone noise research to inform policy making provided by the University of Salford (UKRI Policy Support Fund 2022/23). Please contact Janet Morana (j.morana@salford.ac.uk) |
| Start Year | 2022 |
| Description | Future Flight Dialogue |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | The PI, Antonio J Torija Martinez, took part in a workshop to support participants (general public) to learn more about future flight technology. During the workshop, I covered the following topics: • What we currently know about aircraft noise, and what we can extrapolate from this about the likely noise levels of future flight technologies. • What mitigations currently exist for managing noise on conventional aircraft, and what these might look like for future flight, including testing and piloting considerations. • How the future flight industry is currently trying to manage noise from these technologies through design. After that, I answered questions from the participants. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Organisation of International Conference QuietDrones 2024 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Quiet Drones is a symposium focused on all aspects of noise and acoustics from Unmanned Aircraft Systems (UAS, also known as 'drones') and VTOLs (i.e., 'flying taxis'). Quiet Drones is for Industry representatives, public authorities, regulators, consultants, and academics working on noise control and acoustics with a focus on Advanced Air Mobility, as well as UAS users. An international audience is expected, with expertise covering topics such as aeroacoustics, psychoacoustics, signal processing, noise control, auralisation and acoustic predictions and standards and regulation. Quiet Drones 2024 was organised by the University of Salford (UK) and took place between the 8th and 11th of September 2024. Quiet Drones 2024 presented methods under development for establishing measurement standards on noise from UAS and VTOLs, as well as new metrics to characterise the impact of their noise on people and the environment. It explained about recent advances in the study of noise generation and control at its source as well as propagation in different flying conditions and environments. It also presented acoustic tools for the detection and identification of drones as well as drone audition methods for search and rescue. And it discussed public acceptance of the noise of delivery UAS as well as of air taxis in European cities and the rest of the world. Quiet Drones 2024 provided a venue for researchers on drone noise to meet with manufacturers, users and those engaged in designing innovative applications for this new technology. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://www.quietdrones.org/ |
| Description | Workshop on 'Perception Influenced Design for Aircraft Noise' organised in collaboration with NASA Langley |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Workshop on perception influenced engineering for aircraft noise. The workshop covered an overview of state-of-the-art acoustic and psychoacoustic methods, and a comprehensive discussion about further work needed to optimise the design of aircraft to minimise community noise impact. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://www.quietdrones.org/conferences/3-quiet-drones-2024/ |
