基于CNS性能的平行航路侧向碰撞风险模型

为了解决雷达管制环境下平行航路间距的安全性问题,分析了管制员对飞机侧向偏航的干预过程,在分析研究传统碰撞风险模型的基础上,综合考虑通信导航监视(communication, navigation and surveillance, CNS)性能及管制员干预,分别建立了包含和不包含人的认知可靠性的平行航路侧向碰撞风险评估模型.通过算例分析了管制干预、通信、导航、监视性能对最小航路间距的影响.结果表明:与通信和监视性能相比,CNS性能中的导航性能对碰撞风险的影响相对较大;为缩减航路间距,建议采用RNAV 2导航规范;提高人的认知可靠性可有效减小平行航路的间距. 

Lateral Collision Risk Model on Parallel Routes Based on Communication,Navigation and Surveillance Performances

In order to assess the parallel route spacing safety in radar control environment, air traffic controller (ATC) intervention processes for aircraft lateral deviation were analyzed. Then based on analysis of the traditional collision risk models, two lateral collision risk models on parallel routes including and excluding human cognitive reliability were established taking into consideration the communication, navigation, and surveillance (CNS) performances and ATC intervention processes. The impacts of ATC intervention and CNS performances on minimum safety route spacing were discussed through numerical examples. The results show that compared with communication and surveillance performances, navigation performance has a larger impact on collision risk; therefore, RNAV 2 navigation specification is recommended to be adopted for reducing route spacing. In addition, improving human cognitive reliability can also effectively reduce the parallel route spacing.