【摘要】：塔臺(tái)指揮是保障飛行安全的重要環(huán)節(jié)。本文以場(chǎng)面決策指揮滑行路徑優(yōu)化為目的,優(yōu)化航空器進(jìn)離場(chǎng)的滑行時(shí)間。建立以場(chǎng)面滑行總時(shí)間最小為目標(biāo)的數(shù)學(xué)優(yōu)化模型,運(yùn)用C#開(kāi)發(fā)場(chǎng)面運(yùn)行決策系統(tǒng),為塔臺(tái)管制員場(chǎng)面運(yùn)行決策提供建議和參考措施。首先,根據(jù)青島流亭機(jī)場(chǎng)交通系統(tǒng)研究青島流亭機(jī)場(chǎng)跑道系統(tǒng)、滑行道系統(tǒng)、停機(jī)位及熱點(diǎn)區(qū)域、沖突特征,并進(jìn)行一周進(jìn)離港航班數(shù)據(jù)分析,進(jìn)而給出在該系統(tǒng)下管制員指揮建議和措施。其次,分析滑行道優(yōu)化模型主要考慮的因素,建立機(jī)場(chǎng)滑行狀態(tài)空間,改進(jìn)Dijkstra算法增加搜索的高效性,考慮進(jìn)離港航班流量在不同時(shí)間段的差異,同時(shí)也兼顧進(jìn)離場(chǎng)航空器的滑行時(shí)間、航空器滑行到跑道外等待點(diǎn)時(shí)間、航空器著陸后滑行到機(jī)位的時(shí)間,改進(jìn)Dijkstra算法,并建立以場(chǎng)面滑行總時(shí)間最小為目標(biāo)數(shù)學(xué)優(yōu)化模型。再次,根據(jù)在場(chǎng)面運(yùn)行情況復(fù)雜時(shí),考慮多重因素影響時(shí)自動(dòng)算法存在失效可能性的情況下,運(yùn)用C#開(kāi)發(fā)場(chǎng)面運(yùn)行輔助決策系統(tǒng),給出估算過(guò)節(jié)點(diǎn)時(shí)間的最優(yōu)路徑,分析進(jìn)港滑行、離港滑行、進(jìn)離港滑行沖突下的運(yùn)用過(guò)程和方法,為塔臺(tái)管制員場(chǎng)面運(yùn)行決策提供輔助性建議。最后,結(jié)合算例驗(yàn)證模型的有效性,結(jié)合管制決策過(guò)程和實(shí)例驗(yàn)證程序的可行性。
[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.
【學(xué)位授予單位】：中國(guó)民用航空飛行學(xué)院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：V355

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