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Approach to Characterize Mobility Through Modeling of Solution Spaces for Conceptual Aircraft

机译:通过对概念飞机的解空间建模来表征机动性的方法

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摘要

The solution space for air-vehicle-based mobility architectures is a multidimensional space characterized by time-based and economic figures of merit. Successful vehicle design relies on the specification of a range of requirements within this space, but limited methods are available to generate these specifications in the context of future transportation scenarios. Thus, the development of new air vehicles for improved personal mobility is hindered by the inability to understand the nature, structure, and sensitivity of the solution space. A "mobility credit" concept is introduced in this paper, which that links the targeted increase in mobility with vehicle design. Doorstep-to-destination travel time and net present value are two expressions of the credit that are defined and explored. A methodology for adaptable systems analysis is then developed and implemented to locate and visualize preferable regions of this solution space that maximize the mobility credit, avoiding the premature selection of a point design that is counterproductive at the conceptual level. Simulation results are presented that parametrically quantify the preferred level of air vehicle (speed), infrastructure (delay time), and economic (direct operating cost) parameters within the solution space.
机译:基于航空器的机动性体系结构的解决方案空间是一个多维空间,具有基于时间和经济价值的特征。成功的车辆设计依赖于此空间内一系列要求的规范,但是在未来的运输场景中,有限的方法可用于生成这些规范。因此,由于无法理解解决方案空间的性质,结构和敏感性,阻碍了开发用于提高个人机动性的新型飞行器。本文引入了“流动性信用”概念,该概念将目标性的流动性增加与车辆设计联系起来。到达目的地的旅行时间和净现值是已定义和探索的信用的两个表达。然后,开发并实施用于自适应系统分析的方法,以定位和可视化此解决方案空间的最佳区域,从而使流动性最大化,从而避免过早选择在概念水平上适得其反的点设计。给出了仿真结果,可以对解决方案空间内的航空器(速度),基础设施(延迟时间)和经济(直接运营成本)参数的优选级别进行参数化量化。

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