Risk Assessment of Unmanned Aerial Vehicle Flight Based on K-means Clustering Algorithm

doi:10.16356/j.1005-1120.2020.02.008

Transactions of Nanjing University of Aeronautics & Astronautics

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Archive > Volume 37 Issue 2 > 2020,37(2):263-273. DOI:10.16356/j.1005-1120.2020.02.008 Prev Next

Risk Assessment of Unmanned Aerial Vehicle Flight Based on K-means Clustering Algorithm

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Abstract:

To quantify unmanned aerial vehicle (UAV) flight risks in low-altitude airspace, we analyze the factors of UAV flight risks from three aspects: flight conflict, flight environment, and traffic characteristics. The aerial risk index and ground risk index of the UAV are constructed, the index screening model and the UAV flight risk assessment model are established, and a UAV flight risk assessment model based on K-means clustering has been proposed. Meanwhile, numerical simulations show the proposed method can not only evaluate the UAV flight risks effectively, but also provide technical support for UAV risk management and control.

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V279