青岛流亭机场场面运行决策系统研究
发布时间:2018-07-13 17:18
【摘要】:塔台指挥是保障飞行安全的重要环节。本文以场面决策指挥滑行路径优化为目的,优化航空器进离场的滑行时间。建立以场面滑行总时间最小为目标的数学优化模型,运用C#开发场面运行决策系统,为塔台管制员场面运行决策提供建议和参考措施。首先,根据青岛流亭机场交通系统研究青岛流亭机场跑道系统、滑行道系统、停机位及热点区域、冲突特征,并进行一周进离港航班数据分析,进而给出在该系统下管制员指挥建议和措施。其次,分析滑行道优化模型主要考虑的因素,建立机场滑行状态空间,改进Dijkstra算法增加搜索的高效性,考虑进离港航班流量在不同时间段的差异,同时也兼顾进离场航空器的滑行时间、航空器滑行到跑道外等待点时间、航空器着陆后滑行到机位的时间,改进Dijkstra算法,并建立以场面滑行总时间最小为目标数学优化模型。再次,根据在场面运行情况复杂时,考虑多重因素影响时自动算法存在失效可能性的情况下,运用C#开发场面运行辅助决策系统,给出估算过节点时间的最优路径,分析进港滑行、离港滑行、进离港滑行冲突下的运用过程和方法,为塔台管制员场面运行决策提供辅助性建议。最后,结合算例验证模型的有效性,结合管制决策过程和实例验证程序的可行性。
[Abstract]:Tower command is an important link to ensure flight safety. For the purpose of optimizing the taxiing path of scene decision-making command, this paper optimizes the taxiing time of aircraft entering and leaving the field. A mathematical optimization model with the goal of minimum total time of scene gliding is established, and the decision making system of scene running is developed by using C #, which provides suggestions and reference measures for the decision making of tower controller's scene operation. Firstly, according to the traffic system of Qingdao Liuting Airport, the runway system, taxiway system, parking stand and hot spot area of Qingdao Liuting Airport are studied, and the data of weekly inbound and outbound flights are analyzed. Furthermore, the suggestions and measures of the controller command under the system are given. Secondly, the main factors of taxiway optimization model are analyzed, the airport taxiing state space is established, the Dijkstra algorithm is improved to increase the efficiency of search, and the difference of inbound and outbound flight traffic in different time periods is considered. Meanwhile, the Dijkstra algorithm is improved by taking into account the taxiing time of the aircraft, the time of the aircraft taxiing to the waiting point outside the runway, and the time of the aircraft taxiing to the station after landing, and the mathematical optimization model with the minimum total time of the scene taxiing as the objective is established. Thirdly, according to the possibility of failure of the automatic algorithm considering the influence of multiple factors when the operation of the scene is complex, the optimal path of estimating the crossing point time is given by using C # to develop the auxiliary decision system for scene running. This paper analyzes the application process and methods of entry / departure / collision, and provides some helpful suggestions for tower controllers' decision making on the operation of tower controllers. Finally, combined with the validity of the model, the feasibility of the regulatory decision-making process and the case verification procedure.
【学位授予单位】:中国民用航空飞行学院
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:V355
本文编号:2120150
[Abstract]:Tower command is an important link to ensure flight safety. For the purpose of optimizing the taxiing path of scene decision-making command, this paper optimizes the taxiing time of aircraft entering and leaving the field. A mathematical optimization model with the goal of minimum total time of scene gliding is established, and the decision making system of scene running is developed by using C #, which provides suggestions and reference measures for the decision making of tower controller's scene operation. Firstly, according to the traffic system of Qingdao Liuting Airport, the runway system, taxiway system, parking stand and hot spot area of Qingdao Liuting Airport are studied, and the data of weekly inbound and outbound flights are analyzed. Furthermore, the suggestions and measures of the controller command under the system are given. Secondly, the main factors of taxiway optimization model are analyzed, the airport taxiing state space is established, the Dijkstra algorithm is improved to increase the efficiency of search, and the difference of inbound and outbound flight traffic in different time periods is considered. Meanwhile, the Dijkstra algorithm is improved by taking into account the taxiing time of the aircraft, the time of the aircraft taxiing to the waiting point outside the runway, and the time of the aircraft taxiing to the station after landing, and the mathematical optimization model with the minimum total time of the scene taxiing as the objective is established. Thirdly, according to the possibility of failure of the automatic algorithm considering the influence of multiple factors when the operation of the scene is complex, the optimal path of estimating the crossing point time is given by using C # to develop the auxiliary decision system for scene running. This paper analyzes the application process and methods of entry / departure / collision, and provides some helpful suggestions for tower controllers' decision making on the operation of tower controllers. Finally, combined with the validity of the model, the feasibility of the regulatory decision-making process and the case verification procedure.
【学位授予单位】:中国民用航空飞行学院
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:V355
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