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Human factors evaluations of Free Flight Issues solved and issues remaining

机译:自由飞行问题的人为因素评估已解决且问题仍然存在

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The Dutch National Aerospace Laboratory (NLR) has conducted extensive human-in-the-loop simulation experiments in NLR's Research Flight Simulator (RFS), focussed on human factors evaluation of Free Flight. Eight years of research, in co-operation with partners in the United States and Europe, has shown that Free Flight has the potential to increase airspace capacity by at least a factor of 3. Expected traffic loads and conflict rates for the year 2020 appear to be no major problem for professional airline crews participating in flight simulation experiments. Flight efficiency is significantly improved by user-preferred routings, including cruise climbs, while pilot workload is only slightly increased compared to today's reference. Detailed results from three projects and six human-in-the-loop experiments in NLR's Research Flight Simulator are reported. The main focus of these results is on human factors issues and particularly workload, measured both subjectively and objectively. An extensive discussion is included on many human factors issues resolved during the experiments, but also open issues are identified. An intent-based Conflict Detection and Resolution (CD&R) system provides "benefits" in terms of reduced pilot workload, but also "costs" in terms of complexity, need for priority rules, potential compatibility problems between different brands of Flight Management Systems and large bandwidth. Moreover, the intent-based system is not effective at solving multi-aircraft conflicts. A state-based CD&R system also provides "benefits" and "costs". Benefits compared to the full intent-based system are simplicity, low bandwidth requirements, easy to retrofit (no requirements to change avionics infrastructure) and the ability to solve multi-aircraft conflicts in parallel. The "costs" involve a somewhat higher pilot workload in similar circumstances, the smaller look-ahead time which results in less efficient resolution manoeuvres and the sometimes falseuisance alerts due to missing intent information. The optimal CD&R system (in terms of costs versus benefits) has been suggested to be state-based CD&R with the addition of intended or target flight level. This combination of state-based CD&R with a limited amount of intent provides "the best of both worlds". Studying this CD&R system is still an open issue.
机译:荷兰国家航空航天实验室(NLR)已在NLR的研究飞行模拟器(RFS)中进行了广泛的在环仿真实验,重点是对自由飞行的人为因素进行评估。与美国和欧洲的合作伙伴合作进行的八年研究表明,自由飞行有可能将空域容量增加至少3倍。2020年的预期交通量和冲突率似乎对于参加飞行模拟实验的专业航空公司而言,这并不是什么大问题。用户偏爱的航线(包括巡航爬升)大大提高了飞行效率,而飞行员的工作量与今天的参考相比仅略有增加。报告了在NLR的Research Flight Simulator中进行的三个项目和六个在环实验的详细结果。这些结果的主要重点是人为因素问题,特别是主观和客观衡量的工作量。关于在实验过程中解决的许多人为因素问题进行了广泛的讨论,但也确定了未解决的问题。基于意图的冲突检测与解决(CD&R)系统在减少飞行员工作量方面提供了“好处”,但在复杂性,对优先规则的需求,不同品牌的飞行管理系统之间以及潜在的兼容性方面也提供了“成本”带宽。此外,基于意图的系统不能有效解决多架飞机的冲突。基于州的CD&R系统还提供“收益”和“成本”。与完整的基于意图的系统相比,其优势在于简单,带宽需求低,易于改装(无需更改航空电子基础设施)以及能够并行解决多架飞机冲突的能力。在类似的情况下,“成本”涉及飞行员工作量的增加,提前的时间越短,导致分辨率操作的效率越低,并且由于缺少意图信息而导致有时出现虚假/令人讨厌的警报。最佳的CD&R系统(就成本与收益而言)已建议是基于状态的CD&R,并增加了预期或目标飞行水平。基于状态的CD&R与有限意图的这种结合提供了“两全其美”。研究此CD&R系统仍然是一个未解决的问题。

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