Citation

Xu R, Luo F. China Saf. Sci. J. 2019; 29(5): 25-30.

Copyright

(Copyright © 2019, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2019.05.005

PMID

unavailable

Abstract

In order to determine the influencing factors and evolution paths of the unsafe flight of the UAV operator, and to improve the supervision level on the UAV interference with flights in airfield clearance area, the situational conditions of behavior selection were analyzed through the evolutionary game theory and SD. Based on the cause analysis of UAV interference with flights, the game pay matrix of airport safety regulator and UAV operator was built, and the local stability of equilibrium point of game system was analyzed. On this basis, a SD model was established to simulate and analyze the dynamic effects of different parameters on evolution results. The results show that it is possible to increase the probability of UAV safe flight by increasing the intensity of tracking of and punishment for UAV operator's unsafe flight, and that the effectiveness of safety supervision can be improved from the perspective of the subject and object involved in supervision, which can promote the UAV safe flight and reduce the disturbance of UAV in the airport clearance area in the long run. © 2019 China Safety Science Journal

Language: zh