Papers

Risk assessment study for driverless special vehicles in airport flight area

  • LIU Bingfei ,
  • TANG Xiaopeng ,
  • ZHANG Feng
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  • 1. School of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;
    2. Civil Aviation Management Institute of China, Beijing 100102, China

Received date: 2020-01-09

  Revised date: 2020-05-08

  Online published: 2021-11-08

Abstract

With rapid development of driverless technology, driverless special vehicles into airport flight zone will become a future airport development trend. At present, there is no reasonable evaluation system for the operation risk assessment of driverless special vehicles in the airfield. Based on the study of risk factors of driverless special vehicles in the airfield, this paper establishes a risk assessment model of driverless special vehicles in the airfield from the perspectives of internal and external factors. The trigonometric function and trapezoidal function are combined to determine the improved whiteness weight function, which is then applied to the analytic hierarchy process (AHP)-grey theory comprehensive evaluation method so as to judge the weight and evaluate the risk factors comprehensively. Finally, an comprehensive risk assessment is carried out by taking the driverless luggage trailer as an example and the preventive measures are proposed against larger risk factors.

Cite this article

LIU Bingfei , TANG Xiaopeng , ZHANG Feng . Risk assessment study for driverless special vehicles in airport flight area[J]. Science & Technology Review, 2021 , 39(19) : 83 -91 . DOI: 10.3981/j.issn.1000-7857.2021.19.010

References

[1] 王永刚, 高宇恒. 中大型机场停机坪安全风险分析与对策研究[J]. 安全与环境学报, 2018, 18(5):1716-1721.
[2] 赵贤利, 罗帆. 基于复杂网络理论的机场飞行区风险演化模型研究[J]. 电子科技大学学报, 2013, 15(4):31-33.
[3] 王永刚, 杨传秀. 基于Multi-Agent的机场安全风险管理模型研究[J]. 安全与环境工程, 2014, 21(3):76-79.
[4] 费春国, 潘伟鹏. 机坪电动特种车辆运行安全风险评估研究[J]. 现代电子技术, 2017, 40(12):34-38.
[5] Maurino D E. Safety prejudices, training practices, and CRM:Amid point perspective[J]. International Journal of Aviation Psychology, 2007, 9(4):413-422.
[6] Xenidis Y, Gkocmas N. Safety, reliability and risk analysis; beyond the horizon[C]//Proceedings of the European Safety and Reliability Conference. Amsterdam:ESREL, 2013.
[7] 王钦普, 赵佳, 赵浩. 无人驾驶汽车发展面临的挑战与建议[J]. 客车技术与研究, 2016, 38(6):2-6.
[8] 兰京. 无人驾驶汽车发展现状与关键技术分析[J]. 内燃机与配件, 2019(15):209-210.
[9] 姜允侃. 无人驾驶汽车的发展现状及展望[J]. 研究与设计, 2019, 35(5):60-65.
[10] 于赫, 秦贵和, 孙铭会, 等. 车载CAN总线网络安全问题及异常检测方法[D]. 长春:吉林大学, 2016.
[11] 蒋丽. 特种车辆机坪运行安全研究[J]. 民航管理, 2014(8):73-74.
[12] 谢季坚. 模糊数学方法及其应用[M]. 武汉:华中科技大学出版社, 2013.
[13] Zhang H, Gao D, Hao Z. Risk analysis of extended reach wells in the Liuhua Oilfield, South China Sea, based on comprehensive fuzzy evaluation method[J]. Petroleum Science, 2009(2):172-175.
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