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Semantic Scholar · Article (Processes)

Ground Risk Assessment for Unmanned Aircraft Focusing on Multiple Risk Sources in Urban Environments

Published 2023-02-10 From Processes 6 authors

Attribution

This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and Processes.

Abstract

Verbatim from Semantic Scholar. Not paraphrased, not summarized.

This paper investigates the risk quantification for Unmanned Aircraft (UA) in urban environments, focusing on the safety of ground people. An assessment methodology is proposed to quantify the flying risk, which indicates the ground fatalities resulted from different potential risk sources. With the knowledge of UA’s specifications and ground environments, the flying risk of the target UA flying in the target area could be evaluated from the combination of results from independent assessment procedures focusing on multiple potential risk sources with specific safety metrics. A study case to assess the flying risk of the Talon and the DJI Inspire 2 flying in one piece of the region in Chengdu is presented. From the assessment result, the airspace management strategies for both Talon and DJI Inspires 2 could be easily developed to guarantee the safety of ground people, therefore, this risk quantification method could be a general tool to support decision-making in safety work.

Authors

  • Qiyang Li
  • Qinggang Wu
  • Haiyan Tu
  • Jianping Zhang
  • Xiang Zou
  • Shan Huang

Keywords

  • Engineering
  • Environmental Science

Citation: Qiyang Li, Qinggang Wu, Haiyan Tu , et al. (2023). Ground Risk Assessment for Unmanned Aircraft Focusing on Multiple Risk Sources in Urban Environments. Processes. Semantic Scholar ID 3924e37d526c06626f62100dc08c434db9ed26d5. https://doi.org/10.3390/pr11020542 ↗