Risk Assessment and Mitigation for Unmanned Aerial Vehicles

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Osman Yazicioglu
Oguz Borat


UAVs performance is improved, in addition to GPS, they can find routes with artificial intelligence and various techniques, and can fly autonomously. The global UAV market was US$ 25.59 billion in 2018. It is estimated that the market will reach US$70.28 billion by 2029. The first three UAV manufacturers were DCL (USA), Parrot (France) and Yuneec (PRC) and are now being produced in many countries. Aircrafts are exposed to various risks: an aerodynamic stall due to inconsistent sensor readings and inadequate response, hitting a flock of geese or flying objects, pilot being unable to prevent the plane repeatedly nosediving despite following procedures. Therefore, procedures issued by aviation agency for aircraft type certification require an aircraft manufacturer (“applicant”) to demonstrate that its design complies with all applicable agency’s regulations and requirements. Safety risk management is a key component of a safety management system and involves fundamental activities such as identifying safety hazards, and assessing the risks and mitigation. Risk management is an integral component of safety management and involves some essential steps.Take into account any current mitigation measures and assess the seriousness in terms of the worst possible realistic scenario. The risk assessment considered five operational environments; remote, rural, suburban, urban, and congested. Reliability, availability, maintainability, and safety assessment are important study in the development of UAVs. This kind of study is mandatory to increase the reliability of the UAV, its availability, and to reduce repair and maintenance costs.

UAV, safety risk management, UAS

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How to Cite
Yazicioglu, O., & Borat, O. (2020). Risk Assessment and Mitigation for Unmanned Aerial Vehicles. Archives of Current Research International, 20(7), 1-8. https://doi.org/10.9734/acri/2020/v20i730206
Review Article


Bai G, Li Y, Fang Y, Zhang Y. Network approach for resilience evaluation of a UAV swarm by considering communications limit. Reliability Engineering and System Safety. 2020;193:106602.

Seguin C, Blaquiere G, Loundou A, Michelet P, Markarian T. Unmanned aerial vehicles (drones) to prevent drowning. Resuscitation. 2018;127:63-67.

Martin PG, Payton OD, Fardoulis JS, Richards DA, Yamashiki Y, Scott TB. Low altitude unmanned aerial vehicle for characterizing remediation effectiveness following the FDNPP accident. Journal of Environmental Radioactivity. 2016;151:58-63.

Wang X, Zhang Y, Wang L, Lu D. Robustness evaluation method for unmanned aerial vehicle swarms based on complex network theory. Chinese Journal of Aeronautics (in press); 2019.

Colomina I, Molina P. Unmanned aerial systems for photogrammetry and remote sensing: a review. ISPRS Journal Photogram Remote Sensors. 2014;4(92):79-97. www.tipsfordrones.com Jan. 29, 2019.

Fotohi R. Securing of unmanned aerial systems (UAS) against security threads using human immune system. Reliability and System Safety. 2020;193:106675.

Joshi D. Drone technology uses and applications for commercial, industrial and military drones in 2020 and the future. Dec 18, 2019, 7:23 PM Business Insider; 2019. www.einconnect007.com https://air-vid.com/20-great-uav-applications-areas-drones/, June 6, 2019.

Allouch A, Koubaa, Khalgui M, Abbes T. Qualitative and quantitative risk analysis and safety assessment of unmanned aerial vehicles missions over the internet. IEEE Access. April 2019 (accepted).

Bahr NJ. System safety engineering and risk assessment, a practical approach. 2nd Ed., CRC Press, New York; 2015.

AP, Associated Press, July 10, 2019, at 11:21 p.m.

Petritoli E, Leccese F, Ciani L. Reliability and maintenance analysis of unmanned aerial vehicles. Sensors. 2018;183171:1-16.

Lyon BK, Hollcroft B. Risk assessments, top ten pitfalls and tips for improvement. Professional Safety. 2012;28-34.

Yazicioglu O, Borat O. Qualifications Frameworks in the Transition to Knowledge Community. International Journal of Education. 2020;12(1):26-45.

Heyneman SP. International organizations and the future of education assistance. International Journal of Educational Development. 2016;48:9-22. Available:https://doi.org/ 10.1016/ j.ijedudev.2015.11.009

Civil Aviation Safety Authority. SMS for Aviation, A Practical Guide, Safety Risk Management, Australian Government. 2012;25.

Barr LC, Newman R, Ancel E, Belcastro CM, Foster JV, Evans JK. Preliminary risk assessment for small unmanned aircraft systems, 7th AIAA Aviation Technology, Integration, and Operations Conference. 5-9 June, 2017, Denver, Colorado; 2017.

Senelt E. Design and manufacturing of a tactical unmanned air vehicle. PhD Thesis, METU, Ankara; 2010.

De Francesco E, De Francesco R. The CoDeF structure: A way to evaluate AI including failures caused by multiple minor degradations. 2nd IEEE International workshop metrology for Aerospace, 3-5 June, Benevento, Italy; 2015.

Varsha N, Somashekar V. Conceptual design of high performance unmanned aerial vehicle. IOP Conf. Series: Material Science and Engineering. 2018;376:1-11.

Asmayawati S, Nixon J. Modelling and supporting flight crew decision-making during aircraft engine malfunctions: developing design recommendations from cognitive work analysis. Applied Ergonomics. 2020;82(210):102953.

Rattanagraikanakorn B, Gransden Dİ, Schuurman M, Wagter CD, Happee R, Sharpanskykh and Blom HAP. Multibody system modelling of unmanned aircraft system collisions with the human head. International Journal of Crashworthiness. 2019;1-19.