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Toward a More Realistic, Cost-Effective, and Greener Ground Movement Through Active Routing—Part I: Optimal Speed Profile Generation

机译:通过主动路径实现更现实,更经济高效和更环保的地面运动-第一部分:最佳速度曲线生成

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摘要

Abstract- Among all airport operations, aircraft ground movement plays a key role in improving overall airport capacity as it links other airport operations. Moreover, ever-increasing air traffic,udrising costs, and tighter environmental targets create pressure to minimize fuel burn on the ground. However, current routing functions envisioned in Advanced Surface Movement, Guidanceudand Control Systems almost exclusively consider the most time efficient solution and apply a conservative separation to ensure conflict-free surface movement, sometimes with additional buffer times to absorb small deviations from the taxi times. Such anudoverly constrained routing approach may result in either a too tight planning for some aircraft so that fuel efficiency is compromised due to multiple acceleration phases, or performance could be further improved by reducing the separation and buffer times. In light of this, Parts I and II of this paper present a newudActive Routing (AR) framework with the aim of providing a more realistic, cost-effective, and environmental friendly surface movement,udtargeting some of the busiest international hub airports.udPart I of this paper focuses on optimal speed profile generation using a physics-based aircraft movement model. Two approaches based, respectively, on the Base of Aircraft Data and the International Civil Aviation Organization engine emissions databaseudhave been employed to model fuel consumption. These models are then embedded within a multiobjective optimization frameworkudto capture the essence of different speed profiles in a Pareto optimal sense. The proposed approach represents the first attempt to systematically address speed profiles with competing objectives.udResults reveal an apparent tradeoff between fuel burn and taxi times irrespective of fuel consumption modeling approaches. This will have a profound impact on the routing and scheduling and open the door for the new concept of AR discussed in Part II ofudthis paper.
机译:摘要-在所有机场运营中,飞机地面运动在与其他机场运营相联系的过程中,在提高整体机场容量方面起着关键作用。此外,不断增加的空中交通,昂贵的成本以及更严格的环境目标产生了使地面上的燃料燃烧最小化的压力。但是,高级地面运动,制导 udand控制系统中设想的当前路由功能几乎专门考虑了最省时的解决方案,并采用保守的分隔以确保无冲突的地面运动,有时还要增加缓冲时间以吸收与滑行时间的微小偏差。这种过度限制的选路方法可能导致某些飞机的计划过于紧张,从而由于多个加速阶段而降低了燃油效率,或者可以通过减少分离和缓冲时间来进一步提高性能。有鉴于此,本文的第一部分和第二部分提出了一个新的 udActive路由(AR)框架,旨在提供更现实,成本效益更高,更环保的地面移动,以一些最繁忙的国际枢纽机场为目标本文的第一部分着重于使用基于物理的飞机运动模型来生成最佳速度曲线。分别采用了基于飞机数据基础和国际民航组织发动机排放数据库的两种方法来对燃油消耗进行建模。然后将这些模型嵌入到多目标优化框架中,以帕累托最优的意义捕捉不同速度曲线的本质。提议的方法代表了系统地解决具有竞争性目标的速度曲线的首次尝试。 ud结果表明,不管油耗建模方法如何,燃油消耗和滑行时间之间都存在明显的权衡。这将对路由和调度产生深远的影响,并为本文第二部分中讨论的AR新概念打开大门。

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