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Are There Good Air Traffic Management Safety Indicators For Very Safe Systems?

机译:对于非常安全的系统,是否有良好的空中交通管理安全指标?

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摘要

European Air Traffic Management is extremely safe. The drawback to this safety record is that it is very difficult to estimate what the 'underlying' accident rate for mid-air collisions is now, or to detect any changes over time. The aim is to see if it possible to construct simple ATM safety indicators that correlate with this underlying accident rate. A perfect indicator would be simple to comprehend and capable of being calculated by a checklist process. This problem has been examined using a combination of analogies with simple 'defensive' systems with Markov process properties. An important concept is that of 'system control': the ability to determine the outcome against reasonably foreseen changes and variations of system parameters. The statistical distribution of future incidents has been analysed by focusing on an index - the Close Proximity Index (CPI) - of separation at the Closest Point of Approach. A promising indicator is 'Incident Not Resolved by ATC' (INRA) incidents in which the ground ATC defences have been 'used up'. ATM Incidents can also be categorised in other ways. Two examples are reviewed: the risk-bearing category for Airproxes and 'risk of collision/severity' scores. The second is more promising conceptually, but the existing scoring system has not been demonstrated to have the properties necessary to derive risk estimates. The key question is: if someone says they know how to make a good estimate of the underlying accident rate, then how could this claim be tested? If it correlates very well with INRA, then what would be the argument for saying that it is a better indicator?
机译:欧洲空中交通管理非常安全。该安全记录的缺点在于,很难估计空中碰撞的“潜在”事故率是多少,或者很难检测出随时间变化的情况。目的是查看是否有可能构建与此潜在事故发生率相关的简单ATM安全指标。完美的指标将很容易理解,并且可以通过清单过程进行计算。已使用类比与具有马尔可夫过程特性的简单“防御”系统的组合来研究此问题。一个重要的概念是“系统控制”:根据合理预期的系统参数变化和变化确定结果的能力。未来事件的统计分布已通过关注于最接近点的分离指数-接近度指数(CPI)进行了分析。一个有前途的指标是“空中交通管制无法解决的事件”(INRA)事件,其中地面“空中交通管制”防御已被用尽。 ATM事件也可以通过其他方式进行分类。审查了两个示例:飞机的风险承担类别和“碰撞/严重程度风险”评分。第二个概念在概念上更有希望,但是尚未证明现有的评分系统具有得出风险估计所必需的属性。关键问题是:如果有人说他们知道如何对潜在事故发生率做出正确的估算,那么如何对这一说法进行检验?如果它与INRA有很好的相关性,那么说它是一个更好的指标又会有什么依据呢?

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