A Conceptual Framework Proposal for a Noise Modelling Service for Drones in U-Space Architecture

Tommy Langen, Vimala Nunavath and Ole Henrik Dahle
Additional contact information
Tommy Langen: Department of Science and Industry Systems, University of South-Eastern Norway, 3616 Kongsberg, Norway
Vimala Nunavath: Department of Science and Industry Systems, University of South-Eastern Norway, 3616 Kongsberg, Norway
Ole Henrik Dahle: Indra Navia AS, 1383 Asker, Norway

IJERPH, 2021, vol. 19, issue 1, 1-20

Abstract: In recent years, there has been a rapid growth in the development and usage of flying drones due to their diverse capabilities worldwide. Public and private sectors will actively use drone technology in the logistics of goods and transporting passengers in the future. There are concerns regarding privacy and noise exposure in and around the rural and urban environment with the rapid expansion. Further, drone noise could affect human health. European Union has defined a service-orientated architecture to provide air traffic management for drones, called U-space. However, it lacks a noise modelling service (NMS). This paper proposes a conceptual framework for such a noise modelling service for drones with a use case scenario and verification method. The framework is conceptualized based on noise modelling from the aviation sector. The NMS can be used to model the noise to understand the accepted drone noise levels in different scenarios and take measures needed to reduce the noise impact on the community.

Keywords: noise model; Unmanned Aircraft System Traffic Management; drones; UAVs; accepted noise levels; U-space architecture (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/1/223/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/1/223/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2021:i:1:p:223-:d:711272

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().