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Urban air mobility and manned eVTOLs: safety implications

机译:城市空中交通和载人eVTOL:安全隐患

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New propulsion systems, artificial intelligence, sensor technology, and operational system autonomy are transforming the short to mid-range aviation industry. Electric vertical takeoff and landing (eVTOL) aircraft offer new possibilities for Urban Air Mobility (UAM). However, these developments will create operational issues and safety concerns, especially in the socalled transition period when these aircraft are expected to be manned by pilots, and assisted by onboard automation systems. In this transition period, different aircraft will have different systems for flying. Additionally, the type of flight control used during take-off and landing will often be different from the type of control used en route. In contrast to pilots on large commercial aircraft, eVTOL pilots will have available greater levels of automation, but will also incur greater variability in the type and scope of human control. How will this interaction between pilots and automation impact the safety of flight, especially in cases where the automation systems fail, and the pilot must assume full control? This paper explores the risks associated with manned eVTOLs, and the impact of automation system failures on pilot workload and flight safety by using Bayesian Belief Network.
机译:新的推进系统,人工智能,传感器技术和操作系统自主权正在改变中短程航空业。垂直起降(eVTOL)电动飞机为城市空中交通(UAM)提供了新的可能性。但是,这些事态发展将带来运营问题和安全隐患,尤其是在所谓的过渡时期,届时这些飞机将由飞行员驾驶,并由机载自动化系统提供协助。在这个过渡时期,不同的飞机将有不同的飞行系统。另外,起飞和着陆期间使用的飞行控制类型通常会与途中使用的控制类型不同。与大型商用飞机上的飞行员相比,eVTOL飞行员将具有更高的自动化水平,但也将导致人工控制类型和范围的更大变化。飞行员与自动化之间的这种相互作用将如何影响飞行安全,特别是在自动化系统出现故障并且飞行员必须承担全部控制权的情况下?本文通过使用贝叶斯信念网络,探索了与载人eVTOL相关的风险,以及自动化系统故障对飞行员工作量和飞行安全的影响。

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