Construction and application of third-party risk model for unmanned aerial vehicle operation in urban environment

doi:10.16265/j.cnki.issn1003-3033.2021.09.003

Abstract

Abstract: In order to quantify risks of UAV operation in urban areas, the third-party risk sources and their mechanism of action were analyzed. Then, a third-party risk model for UAV city operation, considering noise and safety factors comprehensively, was established based on privacy image grids. Finally, with Tianjin People's Park in Hexi District as a sample scenario, risks of UAV operation in the airspace 30-60 meters above it were evaluated. The results show that risks are decreasing as UAV flying altitude above buildings and entertainment areas is increasing. However, in other areas such as lakes, woods, roads, open spaces, risks increase along with the increase of flying altitude. When at the same height, risk above lakes and greenery is the lowest, followed by that above buildings and open squares, and then the highest above entertainment areas.

Key words: unmanned aerial vehicle (UAV), operation in urban environment, third-party risk, assessment model, privacy violation

CLC Number:

X949

REN Xinhui, CHENG Caixia. Construction and application of third-party risk model for unmanned aerial vehicle operation in urban environment[J]. China Safety Science Journal, 2021, 31(9): 15-20.

References

[1] 赵霞,苏冠英,王可,等.全球无人机交易市场的方位、格局与展望[J].飞航导弹,2021(1):81-90.
[2] VENKATESH N, PAYAN A P, JUSTIN C Y, et al. Optimal siting of sub-urban air mobility (sUAM) ground architectures using network flow formulation[C].AIAA Aviation 2020 Forum,2020:DOI:10.2514/6.2020-2921.
[3] COURTIN C, BURTON M J, YU A, et al. Feasibility study of short takeoff and landing urban air mobility vehicles using Geometric Programming[C/OL].[2021-05-31].Aviation Technology, Integration, & Operations Conference. https://www.researchgate.net/publication/326316534_Feasibility_Study_of_Short_Takeoff_and_Landing_Urban_Air_Mobility_Vehicles_Using_Geometric_Programming.
[4] PANG Bizhao, TAN Qingyu, RA Thu, et al. A risk-based UAS traffic network model for adaptive urban airspace management[C].AIAA Aviation 2020 Forum,2020:DOI:10.2514/6.2020-2900.
[5] 韩鹏,赵嶷飞. 基于飞行环境建模的UAV地面撞击风险研究[J]. 中国安全科学学报,2020,30(1):142-147.
HAN Peng, ZHAO Yifei.Study on ground impact risk of UAV based on flight environment [J]. China Safety Science Journal,2020,30(1):142-147.
[6] 刘明远. 民用无人机社会风险防控与法律监督[J].行政管理改革,2019(8):44-49.
[7] HOF S, LIEVENS E. The importance of privacy by design and data protection impact assessments in strengthening protection of children's personal data under the GDPR[J]. Tottel's Communications Law, 2018, 23(1):33-43.
[8] KOH C H, LOW K H, LEI L, et al. Weight threshold estimation of falling UAVs (Unmanned Aerial Vehicles) based on impact energy[J]. Transportation Research Part C Emerging Technologies, 2018, 93:228-255.
[9] 张宏宏, 甘旭升, 辛建霖,等. 无人机运行风险评估及不确定性综述[J]. 科学技术创新, 2020(10):23-24.
[10] 贺强,徐艺,杨晓强. 民用无人机飞行风险评估与控制系统[J].数学的实践与认识,2019,49(2):148-156.
[11] 徐晨晨,叶虎平,岳焕印,等. 城镇化地区无人机低空航路网络迭代构建的理论体系和技术路径[J].地理学报,2020,75(5):917-930.
XU Chenchen,YE Huping, YUE Huanyin, et al. Iterative construction of low-altitude UAV air route network in urban areas:case planning and assessment [J]. Acta Geographica Sinica,2020,75(5):917-930.
[12] JIANG Chengpeng, BLOM H A, SHARPANSKYKH A. Third party risk indicators and their use in safety regulations for UAS operations[C]. AIAA Aviation 2020 Forum,2020: DOI:10.2514/6.2020-2901.
[13] 王剑辉,邓伟,夏正洪,等.运输航空飞行安全风险评价方法[J].中国安全科学学报,2019,29(12):110-116.
WANG Jianhui,DENG Wei,XIA Zhenghong,et al. Flight risk assessment method of transport aviation[J]. China Safety Science Journal,2019,29(12):110-116.
[14] TANG Xiaobin,MENG Jia,WANG Peng, et al. Efficiency calibration and minimum detectable activity concentration of a real-time UAV airborne sensor system with two gamma spectrometers[J]. Applied Radiation & Isotopes, 2016, 110:100-108.
[15] MARINO L. Experimental analysis of UAV propeller noise[C]. 16th AIAA/CEAS Aeroacoustics Conference,2010. DOI:10.2514/6.2010-3854.
[16] LAI J, MEJIAS L, FORD J J. Airborne vision-based collision-detection system[J]. Journal of Field Robotics, 2011, 28(2):137-157.
[17] GUPTA P. Computing installation parameters of CCTV cameras for traffic surveillance[J]. International Journal of Computer Science & Information Technology, 2013, 4(6):105-124.
[18] 柳小毅. 城市交通噪声主观烦恼社会调查[D].杭州:浙江大学,2011.
LIU Xiaoyi. Social investigation on urban traffic noise subjective annoyance[D].Hangzhou:Zhejiang University,2011.
[19] SCHUMACHER L, MCNAMEE P I, HAUG J, et al. Development of a safe, quiet, certifiable personal VTOL system[C]. AIAA Aviation 2019 Forum,2019:DOI:10.2514/6.2019-3475.