• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

The Comparison of Hazard Analysis for Preventing Accidents in Drone Systems


Bo-yoon Choi, Byong-gul Lee, Journal of Internet Computing and Services, Vol. 26, No. 3, pp. 121-133, Jun. 2025
10.7472/jksii.2025.26.3.121, Full Text:  HTML
Keywords: Drone, safety assessment, Hazard analysis, Fault Tree Analysis (FTA), System-Theoretic Process Analysis (STPA)

Abstract

While the drone industry has made significant progress toward the commercialization of autonomous systems, critical issues such as crash incidents and the lack of standardized safety evaluation frameworks remain insufficiently addressed. This study applies two hazard analysis techniques, Fault Tree Analysis (FTA) and System-Theoretic Process Analysis (STPA), to drone systems and conducts a comparative evaluation to identify the strengths and limitations of each method in relation to specific analysis objectives and operational contexts. The comparison focuses on analysis procedures, results, and the potential for automation. Based on the findings, a practical guideline is proposed to support systematic safety assurance in drone operations. The results are expected to contribute to the enhancement of safety assessment frameworks and the development of relevant policies in the drone industry.


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Cite this article
[APA Style]
Choi, B. & Lee, B. (2025). The Comparison of Hazard Analysis for Preventing Accidents in Drone Systems. Journal of Internet Computing and Services, 26(3), 121-133. DOI: 10.7472/jksii.2025.26.3.121.

[IEEE Style]
B. Choi and B. Lee, "The Comparison of Hazard Analysis for Preventing Accidents in Drone Systems," Journal of Internet Computing and Services, vol. 26, no. 3, pp. 121-133, 2025. DOI: 10.7472/jksii.2025.26.3.121.

[ACM Style]
Bo-yoon Choi and Byong-gul Lee. 2025. The Comparison of Hazard Analysis for Preventing Accidents in Drone Systems. Journal of Internet Computing and Services, 26, 3, (2025), 121-133. DOI: 10.7472/jksii.2025.26.3.121.