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Evaluation of an Automated Taxi Concept in a Distributed Simulation Environment

机译:分布式仿真环境中自动出租车概念的评估

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Taking into account the actual predictions for the growth of air traffic in Europe in the next 20 years, major hub airports will become more and more the bottlenecks in the overall air transport network. Amongst other factors, current taxi procedures and the dependency on airfield view for both, controllers and flight crews, have a large impact on an airport's efficiency and capacity. The ROLF project (Rollfuehrung, Taxi Guidance), a sub-project of the research project iPort (Innovative Airport) within the scope of the German Aeronautical Research Program (LuFo Ⅳ), aimed at operational changes at airports to meet future requirements regarding the arising European airspace demand by introducing an increased level of automation. Following the project's objectives, a concept of operations was developed by the ROLF partners that describes in detail the systems and procedures necessary for automated taxi operations. This paper focuses on a human-in-the-loop evaluation of the operational concept in order to investigate its feasibility and the general acceptance by its users from flight deck perspective. At first, the operational concept is introduced in the context of an Advanced Surface Movement Guidance and Control System (A-SMGCS). A simulation environment spatially distributedover multiple locations in Germany is described, which was the base for the evaluation study. Finally, the conducted simulation study and evaluation results are presented. Several positive effects with regard to automated taxi procedures were observed.
机译:考虑到未来20年来欧洲空中交通增长的实际预测,主要的枢纽机场将越来越多地是整体空运网络中的瓶颈。在其他因素中,目前的出租车程序和对机场的机场视图的依赖,对机场的效率和能力产生了很大的影响。 ROLF项目(Rollfuehrung,出租车指导)是德国航空研究计划(Lufoⅳ)范围内的研究项目(创新机场)的子程,旨在在机场运营变动,以满足导致的未来要求欧洲空域需求通过引入增加的自动化水平。在项目的目标之后,ROFF合作伙伴开发了一种操作概念,详细描述了自动出租车运营所需的系统和程序。本文重点介绍了对操作概念的人类循环评估,以调查其可行性和其用户从飞行甲板视角的可行性和普遍接受。首先,在先进的表面运动引导和控制系统(A-SMGC)的背景下引入操作概念。描述了仿真环境在空间分布在德国的多个位置,这是评估研究的基础。最后,提出了进行的仿真研究和评估结果。观察到关于自动出租车程序的几种积极影响。

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