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机构地区:[1]中国民航大学航空自动化学院,天津300300
出 处:《信息与控制》2013年第4期511-515,共5页Information and Control
基 金:国家自然科学基金与中国民航局联合资助项目(60939001)
摘 要:针对冰雪天气大型枢纽机场的大面积航班延误及多除冰坪的实际情况,利用多服务台排队系统理论,建立多除冰坪飞机排队模型,并结合博弈思想建立对应于各等待除冰队列的调度模型.利用首都机场动态航班数据进行仿真计算.仿真结果表明,对除冰位进行分类和合理分配,可以降低所有除冰飞机在除冰系统中的总逗留时间,从而缓解高峰时段除冰坪拥堵情况,给出了除冰坪投入量与飞机逗留时间的关系,保证了除冰资源分配的公平性,为机场地面除冰运行及除冰坪建设提供了一种新的思路.According to the practical situation of aircraft delays in hub airports on snowy days and the current application of multi-deicing bays (MDB), aircraft queuing model of the MDB is established based on multi-server queuing system theory. Besides, the dispatch model of each corresponding holding deicing queue is also established based on game theory. The dynamic flights data of Beijing Capital Airport are used for simulation. The results show that the classification and fair allocation of the deicing bay can decrease the holding time of all the deicing aircrafts in the deicing system and relieve the deicing jam in peak hours, and the model guarantees the fairness of the deicing resources allocation and presents the relationship between MDB input and aircraft's sojourn time. This research also provides a new way for airports' deicing operation and deicing bay construction.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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