中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (8): 70-83.doi: 10.16265/j.cnki.issn1003-3033.2025.08.0813

• 安全工程技术 • 上一篇    下一篇

航空器自主运行下的平行航路碰撞风险研究

张洪海1(), 唐思嘉1, 万俊强2,**()   

  1. 1 南京航空航天大学 民航学院, 江苏 南京 211106
    2 中国民航大学 空中交通管理学院, 天津 300300
  • 收稿日期:2025-03-15 修回日期:2025-05-25 出版日期:2025-08-28
  • 通信作者:
    **万俊强(1993—),男,河南息县人,博士,副教授,主要从事空中交通规划与管理方面的研究。E-mail:
  • 作者简介:

    张洪海 (1979—),男,山东菏泽人,博士,教授,主要从事航空航天科学与工程、计算机软件及计算机应用、自动化技术、空中交通管理、航空运输等方面的研究。E-mail:

  • 基金资助:
    国家自然科学基金资助(U2133207); 民用飞机专项科研资助项目(MJZ1-7N22); 中央高校基本科研业务费项目(KJZ53420250004)

Research on collision risk of parallel air routes under autonomous aircraft operation

ZHANG Honghai1(), TANG Sijia1, WAN Junqiang2,**()   

  1. 1 College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 211106, China
    2 College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China
  • Received:2025-03-15 Revised:2025-05-25 Published:2025-08-28

摘要: 为有效评估航空器在空地协同的自主运行场景下的碰撞风险并保障运行安全,基于人为因素和通信、导航、监视(CNS)性能,开展航空器自主运行下的平行航路碰撞风险研究。首先,深入分析航空器自主运行场景特征,基于飞行员和管制员认知行为及其交互作用改进认知可靠性与失误分析方法(CREAM),评估自主运行过程中的人因可靠性;然后,结合CNS性能,构建基于人为因素和CNS性能的自主运行航空器碰撞风险模型,分别评估航空器在侧向、纵向、竖直方向和综合碰撞风险;其次,通过平行航路算例验证该方法的可行性,分析人因可靠性和CNS性能对平行航路碰撞风险的影响。结果表明:自主运行航空器在3个方向及综合碰撞风险值均低于目标安全水平(5×10-9),且提高人的认知可靠性和CNS性能均有利于减小平行航路间距,从而提升自主运行的安全性。

关键词: 航空器自主运行, 平行航路, 碰撞风险, 通信、导航、监视(CNS)性能, 人为因素, 风险评估

Abstract:

In the scenario of air-ground collaborative autonomous operations, the collision risk of aircraft was assessed to ensure operational safety. The collision risk of parallel routes under autonomous flight was studied based on human factors and the performance of CNS systems. Firstly, an in-depth analysis of the characteristics of autonomous operation scenarios was performed. The Cognitive Reliability and Error Analysis Method(CREAM) model was improved by incorporating cognitive behavior and interactions between pilots and air traffic controllers to assess human reliability in autonomous operations. Subsequently, combined with the CNS performance and human factors, a collision risk model for autonomous operation aircraft was established. The lateral, longitudinal, vertical, and overall collision risks of the aircraft were evaluated separately. The feasibility of this method was validated through a parallel route example, and the impact patterns of human reliability and CNS performance on the collision risk of parallel routes were analyzed. The results indicate that the collision risk values in all three directions and the overall risk remain below the target safety level (5×10-9). Furthermore, it is demonstrated that improving human cognitive reliability and CNS performance contributes to reducing the spacing between parallel routes, thereby enhancing the safety of autonomous operations.

Key words: autonomous aircraft operation, parallel air routes, collision risk, communication, navigation, and surveillance (CNS) performance, human factors, risk assessment

中图分类号: