Probability of low altitude midair collision between general aviation and unmanned aircraft

Research output: Contribution to journalJournal articleResearchpeer-review

19 Citations (Scopus)
131 Downloads (Pure)

Abstract

Unmanned aircrafts (UA) usually fly below 500 ft to be segregated from manned aircraft. However, while general aviation (GA) usually do fly above 500 ft in areas where UA are allowed to operate, GA will at times also fly below 500 ft. Consequently, there is a distinct risk of near-miss encounters as well as actual midair collisions (MACs). This work presents a model for determining this risk based on physical parameters of the aircraft and actual figures for the numbers of GA in a given airspace, as well as the probability of having GA below 500 ft. The aim is to achieve a prediction with a precision better than one order of magnitude relative to the true MAC rate value. The model is applied to Danish airspace and the MAC rate for unmitigated operations of UA is found to be approximately 10−6 MAC per flight hour. The model is particularly well suited for beyond visual line-of-sight operations, and is useful for UA operators for conducting risk assessment of planned operations as well as for regulators for determining appropriate operational requirements.
Original languageEnglish
JournalRisk Analysis
Volume39
Issue number11
Pages (from-to)2499-2513
Number of pages15
ISSN0272-4332
DOIs
Publication statusPublished - Nov 2019

Bibliographical note

© 2019 The Authors. Risk Analysis published by Wiley Periodicals, Inc. on behalf of Society for Risk Analysis.

Keywords

  • Midair collision
  • modeling
  • safety
  • unmanned aircraft

Fingerprint

Dive into the research topics of 'Probability of low altitude midair collision between general aviation and unmanned aircraft'. Together they form a unique fingerprint.
  • Advisor to JARUS

    Anders la Cour-Harbo (Participant), Terrence Martin (Participant), Tom Putland (Participant), Tony Nannini (Participant), Henri Hohtari (Participant) & Joerg Dittrich (Participant)

    Impact: Public policy impact

Cite this