An integrated optimisation approach to airport ground operations to foster sustainability in the aviation sector
An integrated optimisation approach to airport ground operations to foster sustainability in the aviation sector
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DOI：
10.1016/j.apenergy.2015.04.039
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发表时间：
2015-11-01
期刊：
影响因子：
11.2
通讯作者：
Locatelli, Giorgio
中科院分区：
文献类型：
--
作者：
Weiszer, Michal;Chen, Jun;Locatelli, Giorgio
随着空中交通量的增加、燃料成本的上升和环境目标的收紧，高效的机场地面运营是实现可持续航空运输的关键方面之一。这个复杂的系统包括地面运动、跑道调度和地面服务等要素。以前，这些问题被孤立地处理，因为信息，如着陆时间，推回时间和飞机地面位置，由不同的利益相关者持有，有时利益冲突，通常不共享。然而，由于这些问题是相互关联的，孤立优化的结果可能会实现一个问题的目标，但在另一个问题的目标失败，最终错过了全局最优。因此，可能需要更多的能源和经济成本。为了应用更系统和整体的观点，本文介绍了一个多目标集成优化问题，结合新提出的主动路由的概念。这个新模型以系统的观点构建，结合了几个元素：飞机调度和路由，四维轨迹（4DT）优化，跑道调度和机场巴士调度。还包括一个整体的经济优化框架，以支持决策者选择经济上最优的解决方案，从帕累托前面的技术上最优的解决方案。针对这一问题，采用多目标遗传算法对某国际枢纽机场的真实的数据进行了求解。初步结果表明，所提出的方法是能够提供一个系统的框架，使机场效率，环境评估和经济分析都可以明确优化。(C)2015爱思唯尔有限公司版权所有。
With increasing air traffic, rising fuel costs and tighter environmental targets, efficient airport ground operations are one of the key aspects towards sustainable air transportation. This complex system includes elements such as ground movement, runway scheduling and ground services. Previously, these problems were treated in isolation since information, such as landing time, pushback time and aircraft ground position, are held by different stakeholders with sometimes conflicting interests and, normally, are not shared. However, as these problems are interconnected, solutions as a result of isolated optimisation may achieve the objective of one problem but fail in the objective of the other one, missing the global optimum eventually. Potentially more energy and economic costs are thus required. In order to apply a more systematic and holistic view, this paper introduces a multi-objective integrated optimisation problem incorporating the newly proposed Active Routing concept. Built with systematic perspectives, this new model combines several elements: scheduling and routing of aircraft, 4-Dimensional Trajectory (4DT) optimisation, runway scheduling and airport bus scheduling. A holistic economic optimisation framework is also included to support the decision maker to select the economically optimal solution from a Pareto front of technically optimal solutions. To solve this problem, a multi-objective genetic algorithm is adopted and tested on real data from an international hub airport. Preliminary results show that the proposed approach is able to provide a systematic framework so that airport efficiency, environmental assessment and economic analysis could all be explicitly optimised. (C) 2015 Elsevier Ltd. All rights reserved.