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Probability of Low‐Altitude Midair Collision Between General Aviation and Unmanned Aircraft

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  • Anders la Cour‐Harbo
  • Henrik Schiøler

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.

Suggested Citation

  • Anders la Cour‐Harbo & Henrik Schiøler, 2019. "Probability of Low‐Altitude Midair Collision Between General Aviation and Unmanned Aircraft," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2499-2513, November.
  • Handle: RePEc:wly:riskan:v:39:y:2019:i:11:p:2499-2513
    DOI: 10.1111/risa.13368
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    References listed on IDEAS

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    1. Richard Melnyk & Daniel Schrage & Vitali Volovoi & Hernando Jimenez, 2014. "Sense and Avoid Requirements for Unmanned Aircraft Systems Using a Target Level of Safety Approach," Risk Analysis, John Wiley & Sons, vol. 34(10), pages 1894-1906, October.
    2. Datta, K. & Oliver, R. M., 1991. "Predicting risk of near midair collisions in controlled airspace," Transportation Research Part B: Methodological, Elsevier, vol. 25(4), pages 237-252, August.
    3. Robert E. Machol, 1995. "Thirty Years of Modeling Midair Collisions," Interfaces, INFORMS, vol. 25(5), pages 151-172, October.
    4. Netjasov, Fedja & Janic, Milan, 2008. "A review of research on risk and safety modelling in civil aviation," Journal of Air Transport Management, Elsevier, vol. 14(4), pages 213-220.
    5. Robert W. Patlovany, 1997. "U.S. Aviation Regulations Increase Probability of Midair Collisions," Risk Analysis, John Wiley & Sons, vol. 17(2), pages 237-248, April.
    6. Robert E. Machol, 1975. "An Aircraft Collision Model," Management Science, INFORMS, vol. 21(10), pages 1089-1101, June.
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    Cited by:

    1. Blom, Henk A.P. & Jiang, Chenpeng & Grimme, Wouter B.A. & Mitici, Mihaela & Cheung, Yuk S., 2021. "Third party risk modelling of Unmanned Aircraft System operations, with application to parcel delivery service," Reliability Engineering and System Safety, Elsevier, vol. 214(C).

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