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Probability of Low‐Altitude Midair Collision Between General Aviation and Unmanned Aircraft
Probability of Low‐Altitude Midair Collision Between General Aviation and Unmanned Aircraft
- Source :
- La Cour-Harbo, A & Schiøler, H 2019, ' Probability of low altitude midair collision between general aviation and unmanned aircraft ', Risk Analysis, vol. 39, no. 11, pp. 2499-2513 . https://doi.org/10.1111/risa.13368, Risk Analysis
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
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.
- Subjects :
- safety
Low altitude
unmanned aircraft
021110 strategic, defence & security studies
Computer science
0211 other engineering and technologies
modeling
02 engineering and technology
010501 environmental sciences
Collision
01 natural sciences
Operational requirements
General aviation
Aeronautics
Original Research Articles
Physiology (medical)
Original Research Article
Safety, Risk, Reliability and Quality
Midair collision
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 15396924 and 02724332
- Volume :
- 39
- Database :
- OpenAIRE
- Journal :
- Risk Analysis
- Accession number :
- edsair.doi.dedup.....a34f5bb7fccbfd3142751a8d7919b728
- Full Text :
- https://doi.org/10.1111/risa.13368