考虑中转旅客的枢纽机场航班时刻优化
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作者单位:

1.南京航空航天大学;2.中国东方航空江苏有限公司

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中图分类号:

V351; U8

基金项目:

国家自然科学基金(U2033205,U1933118);民航局安全能力专项项目(1007-IMH22004);国家重点研发计划(2018YFB1601200);获南京航空航天大学科研与实践创新计划资助及项目号(xcxjh20220712)


Optimization of flight schedules at hub airports considering transit passengers
Author:
Affiliation:

1.Nanjing University of Aeronautics and Astronautics;2.China Eastern Airlines Jiangsu Co.

Fund Project:

National Natural Science Foundation of China (U2033205,U1933118); Civil Aviation Safety Capacity Project (1007-IMH22004); National key Research and Development Project (2018YFB1601200); Postgraduate Research & Practice Innovation Program of NUAA (xcxjh20220712)

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    摘要:

    为了更加科学合理地配置机场航班时刻资源,提出了一种考虑中转旅客的航班时刻优化方法。首先,结合中转旅客出行选择特征,构建考虑候选行程有效性的航班衔接质量评估模型。其次,建立最大化航班衔接质量和最小化航班时刻最大偏移量的双目标模型,增加考虑中转旅客类型、衔接航班类型等约束条件,使优化模型更加符合枢纽机场实际中转运行情况。最后,设计了自适应大邻域搜索算法进行求解,并将模型及算法应用于北京首都国际机场进行案例分析。结果表明,所构建的模型能依据中转旅客在时间、空间、直飞航班影响以及服务质量上的选择差异,为旅客提供更多的有效行程,增加了可达机场数量,提高机场连通性。优化后的旅客有效行程和航班衔接质量分别提升了21.74%和21.57%,约79.66%的航班衔接质量得到改善。可见,优化后的航班时刻在时空分布上更合理,能显著提高航班之间的衔接质量,为中转旅客提供更多的有效换乘选择。

    Abstract:

    In order to allocate airport flight time resources more scientifically and reasonably, a flight time optimization method considering transit passengers is proposed. First, a flight connection quality assessment model considering the effectiveness of candidate trips is constructed by combining the travel choice characteristics of transit passengers. Second, a dual-objective model is established to maximize the flight connection quality and minimize the maximum flight time offset, and constraints such as the type of transit passengers and the type of connecting flights are taken into account, so that the optimization model is more in line with the actual transit operation situation of hub airports. Finally, an adaptive large neighborhood search algorithm is designed to solve the problem, and the model and algorithm are applied to Beijing Capital International Airport for case study. The results show that the constructed model can provide passengers with more effective trips, increase the number of reachable airports, and improve airport connectivity based on the differences in the choices of transit passengers in terms of time, space, the impact of direct flights, and service quality. The optimized effective passenger journeys and flight connection quality have been improved by 21.74% and 21.57% respectively, and the connection quality of about 79.66% of the flights has been improved. It can be seen that the optimized flight schedules are more reasonable in terms of temporal and spatial distribution, which can significantly improve the quality of connection between flights and provide more effective transfer options for transit passengers.

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历史
  • 收稿日期:2023-08-04
  • 最后修改日期:2023-12-15
  • 录用日期:2024-01-25
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