Electric airport ferry vehicle scheduling problem for sustainable operation

IF 3.9 2区 工程技术 Q2 TRANSPORTATION
Zhongyi Jin , Kam K.H. Ng , Haoqing Wang , Shuaian Wang , Chenliang Zhang
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引用次数: 0

Abstract

This study discusses the challenges and solutions surrounding the scheduling of electric airport ferry vehicles (EAFVs) in the aviation industry. With the rise of electric vehicle technology and the push for sustainability, the adoption of EAFVs presents a significant opportunity for reducing emissions in airport ground transportation. However, scheduling EAFVs involves integrated considerations of operational scheduling and charging scheduling. To address these challenges, this study proposes a mixed-integer nonlinear programming (MINLP) model aimed at minimizing total costs associated with EAFV utilization while adhering to flight time window constraints and ensuring electric power availability. Furthermore, we transform the proposed MINLP model into a solvable mixed-integer linear programming model, facilitating its solution using off-the-shelf commercial solvers. To meet the requirements of the large international airport, we propose a stabilization approach for solving the large-scale instances. Finally, we further analyze the influence of crucial parameters, including the number of EAFVs deployed, the number of flights for servicing, and the charging power of charging facilities. Managerial policies are proposed for the airport managers based on the findings. This research addresses both theoretical and practical aspects, offering valuable policy recommendations for the effective EAFV management and providing a foundation for further exploration in EAFV scheduling. The findings contribute to the advancement of sustainable transportation practices in the aviation industry.
电动机场轮渡车辆可持续运行调度问题
本研究讨论了航空工业中围绕电动机场轮渡车辆(eafv)调度的挑战和解决方案。随着电动汽车技术的兴起和对可持续发展的推动,采用eafv为减少机场地面运输的排放提供了一个重要的机会。然而,电动汽车的调度涉及到运行调度和充电调度的综合考虑。为了应对这些挑战,本研究提出了一种混合整数非线性规划(MINLP)模型,旨在最小化与EAFV利用相关的总成本,同时遵守飞行时间窗口约束并确保电力可用性。此外,我们将所提出的MINLP模型转换为可解的混合整数线性规划模型,便于使用现成的商业求解器进行求解。为了满足大型国际机场的需求,提出了一种稳定的方法来解决大规模的实例。最后,我们进一步分析了关键参数的影响,包括部署的eafv数量,维修的航班数量和充电设施的充电功率。根据调查结果,为机场管理者提出了管理政策。本研究从理论和实践两个方面进行研究,为有效管理电梯车提供了有价值的政策建议,并为进一步探索电梯车调度提供了基础。研究结果有助于推动航空业的可持续运输实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
12.40
自引率
11.70%
发文量
97
期刊介绍: The Journal of Air Transport Management (JATM) sets out to address, through high quality research articles and authoritative commentary, the major economic, management and policy issues facing the air transport industry today. It offers practitioners and academics an international and dynamic forum for analysis and discussion of these issues, linking research and practice and stimulating interaction between the two. The refereed papers in the journal cover all the major sectors of the industry (airlines, airports, air traffic management) as well as related areas such as tourism management and logistics. Papers are blind reviewed, normally by two referees, chosen for their specialist knowledge. The journal provides independent, original and rigorous analysis in the areas of: • Policy, regulation and law • Strategy • Operations • Marketing • Economics and finance • Sustainability
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