Risk Management Model for Unmanned Aerial Vehicles during Flight Operations.

air operation safety flying risk risk management unmanned aerial vehicles

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
26 Mar 2022
Historique:
received: 11 01 2022
revised: 21 03 2022
accepted: 22 03 2022
entrez: 12 4 2022
pubmed: 13 4 2022
medline: 13 4 2022
Statut: epublish

Résumé

Risk management and uncertainty models are practised in all branches of transport. Although unmanned aerial vehicles (UAVs) constitute a branch of the industry rather than transport as a whole, their development is oriented toward increasingly more serious applications involving the transport of goods and people. The constantly growing number of operations employing UAVs requires not only identification of hazard sources or risk assessment recommended by the applicable regulations, but also comprehensive risk management. In order to develop a systematic approach to risk management for air operations of UAVs, the classic risk management method can be used. This work proposes a novel multi-criteria risk model that may serve as the basis for further activities aimed at developing a risk management method for this domain. The model was based on six criteria and validated using a virtual route to risk assessment and valuation.

Identifiants

pubmed: 35407780
pii: ma15072448
doi: 10.3390/ma15072448
pmc: PMC8999503
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Centre for Research and Development
ID : DOB-BIO10/01/02/2019

Références

Sensors (Basel). 2021 Jun 28;21(13):
pubmed: 34203160

Auteurs

Anna Kobaszyńska-Twardowska (A)

Faculty of Civil and Transport Engineering, Poznań University of Technology, Piotrowo 3, 60-965 Poznań, Poland.

Jędrzej Łukasiewicz (J)

Faculty of Civil and Transport Engineering, Poznań University of Technology, Piotrowo 3, 60-965 Poznań, Poland.

Piotr W Sielicki (PW)

Faculty of Civil and Transport Engineering, Poznań University of Technology, Piotrowo 3, 60-965 Poznań, Poland.

Classifications MeSH