Situation-Adaptive Autonomy for Time-Critical Takeoff Decisions
Situation-Adaptive Autonomy for Time-Critical Takeoff Decisions
复制标题
用于时间关键的起飞决策的情景自适应自主
DOI：
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复制
发表时间：
2000
期刊：
影响因子：
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通讯作者：
T. Inagaki
中科院分区：
文献类型：
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作者：
T. Inagaki
摘要提出了一种用于分析飞机拒绝起飞风险的概率模型。在起飞过程中，如果发动机出现故障，驾驶员通常要全权决定是继续爬升（Go）还是中止起飞（No Go）。在时间紧迫的情况下，做出正确的Go/No Go决策并不是一件容易的事情，特别是在信息不确定的情况下，每年都有不适当的rto导致超限事故的报道。关于是否将Go/No Go决策系统自动化，以避免人类飞行员做出不必要的RTOs，已经进行了讨论。本文证明了Go/No Go的决策既不应该完全自动化，也不应该总是留给飞行员，Go/No Go的决策权必须在人类飞行员和自动化系统之间以情境适应的方式进行交换。本文还证明了传统预警系统的人机界面对于减少RTO事故的效果不明显，有必要重新设计人机界面系统。
Abstract This paper presents a probability model for analyzing risks in rejected takeofis (RTO) of aircraft. The human pilot usually bears full responsibility for deciding whether to continue the climbout (Go) or to abort the takeoff (No Go) upon an engine failure in the takeoff run. Making a correct Go/No Go decision is not an easy task under time-criticality, especially with uncertain information, inappropriate RTOs which end with overrun accidents are reported annually. Discussions on whether to automate the Go/No Go decision-making system, to avoid unnecessary RTOs made by the human pilot, have taken place. This paper proves that Go/No Go decision-making should neither be fully automated nor be left always to the pilot, and that authority for Go/No Go decision-making must be traded between the human pilot and the automated system in a situation-adaptive manner. This paper also proves that the human-interface of conventional warning systems is not effective for reducing RTO accidents, and that a new design of human-interface systems is necessary.