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作 者:严宇 熊静[1] 陈聪聪 杨益沁 余佳莹 YAN Yu;XIONG Jing;CHEN Congcong;YANG Yiqin;YU Jiaying(College of Air Transportation,Shanghai University of Engineering Science,Shanghai 201620,China)
机构地区:[1]上海工程技术大学航空运输学院,上海201620
出 处:《物流科技》2022年第2期99-102,112,共5页Logistics Sci-Tech
摘 要:为了降低航班延误造成的经济损失,在机场平稳运行条件下提高航班运行效率。在原有的航班恢复模型基础上,引入航空公司公平性模型、跑道容量约束、快速过站约束和取消航班约束的航班运行的四种情况,建立顾及航空公司公平性的总成本最小的航班恢复目标函数,该模型适用于不同航班数限制的机场。算例中对长沙机场的某日4小时内的航班运行情况,使用飞蛾扑火算法得到优化方案,与机场原始航班平均运行成本相比,本文提及方法能降低机场的航班运行成本。In order to reduce the economic losses caused by flight delays,the efficiency of flight operations should be improved under the conditions of stable operation of the airport.On the basis of the original flight recovery model,the airline fairness model,runway capacity constraint,rapid transit constraint and flight cancellation constraint are introduced,and the four situations of flight operation are established to establish a flight recovery with the smallest total cost that takes into account the fairness of the airline objective function,the model is suitable for airports with different flight restrictions.In the calculation example,for the flight operation situation of Changsha airport within 4 hours on a certain day,the moth fire suppression algorithm is used to obtain an optimized scheme.Compared with the average operation cost of the original airport flight,the method mentioned in this paper can reduce the flight operation cost of the airport.
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