基于跑道容量的航班恢复优化模型
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U8

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国家自然科学基金(61571441,U1333116);国家重点研发计划项目 (2016YFB0502405);空中交通管理系统与技术国家重点实验室开放基金资助(SKLATM201705);中央高校基本科研业务经费专项资金项目(3122018D027,3122014D036,3122015C024)


Flight Recovery Optimization Model Based on Runway Capacity
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    摘要:

    为了降低航班延误造成的经济损失和旅客滞留,在不增加管制员工作负荷的基础上提高航班运行效率。本文在原有的航班恢复模型基础上,引入跑道容量模型,综合考虑旅客流、航空公司公平性以及航线重要程度的影响,建立了以各单位恢复总成本最小为目标函数的航班恢复模型,该模型适用于跑道数以及构型不同的单一机场,算例中引用国内某机场的真实延误数据,并用遗传算法和粒子群算法求解模型得到优化方案,与遗传算法相比,粒子群更适用于该模型,收敛速度更快。与现有的航班运行相对比,优化后的方案总延误时间缩短了11.85%,总延误成本减少了6.55%。最后用TAAM仿真软件分别运行实际恢复方案和优化恢复方案,报告显示优化方案中终端区产生冲突的可能性更小,管制员工作负荷更低,从而验证了模型和算法的可用性。

    Abstract:

    In order to reduce the economic loss caused by flight delay and passenger detention, improve the flight operation efficiency without increasing the workload of controllers.In this paper, based on the original flight recovery model, introducing the runway capacity model, considering the passenger flow, airlines fairness and the influence of course important level, set up in each unit the restoration of the objective function is minimum total cost flights recovery model, this model is suitable for different single airport runway and configuration, the example cited in the domestic real delay data of a certain airport, and genetic algorithm and particle swarm algorithm to solve the model was optimized scheme, compared with the genetic algorithm, particle swarm is more suitable for the model, the convergence speed is faster.Compared with the existing flight operation, the total delay time of the optimized scheme is reduced by 11.85% and the total delay cost is reduced by 6.55%.Finally, TAAM simulation software was used to run the actual recovery scheme and the optimized recovery scheme respectively. The report showed that the possibility of conflicts in the terminal area in the optimized scheme was less and the controller's workload was lower, which verified the availability of the model and algorithm.

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引用本文

王楠,戴福青,齐雁楠. 基于跑道容量的航班恢复优化模型[J]. 科学技术与工程, 2020, 20(15): 6279-6285.
Wang Nan, Dai Fuqing, Qi Yannan. Flight Recovery Optimization Model Based on Runway Capacity[J]. Science Technology and Engineering,2020,20(15):6279-6285.

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历史
  • 收稿日期:2019-08-24
  • 最后修改日期:2020-06-14
  • 录用日期:2019-11-10
  • 在线发布日期: 2020-06-24
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