本文關(guān)鍵詞：面向多跑道的進(jìn)離場(chǎng)航班優(yōu)化調(diào)度研究　出處：《南京航空航天大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 多跑道 進(jìn)離場(chǎng)航班排序 航班延誤損失 跑道吞吐量 管制員工作負(fù)荷 航班調(diào)度公平性 GAAA算法

【摘要】：經(jīng)濟(jì)的快速發(fā)展帶來民航業(yè)的繁榮景象,航班量增加,民航運(yùn)輸需求急劇擴(kuò)大。民用航空運(yùn)輸事業(yè)在向前邁進(jìn)的同時(shí)也遭遇了艱難的處境。對(duì)多跑道進(jìn)離場(chǎng)航班的優(yōu)化調(diào)度問題研究,從航空公司角度,通過降低航班的延誤損失成本,提高公司的經(jīng)濟(jì)效益;從機(jī)場(chǎng)角度,能夠增大跑道吞吐量,改進(jìn)場(chǎng)面資源使用效率;從空管部門角度,降低管制員工作負(fù)荷,疏導(dǎo)空中交通,提高航班調(diào)度的公平性,進(jìn)而為航班延誤問題的解決提供一定的參考。本文在參考大量中外文文獻(xiàn)的基礎(chǔ)上,同時(shí)結(jié)合我國(guó)民航運(yùn)輸現(xiàn)狀,分別從航空公司、機(jī)場(chǎng)、空管部門三個(gè)角度出發(fā),通過降低航班延誤,改善航空公司經(jīng)濟(jì)效益,增大跑道吞吐量,降低管制員工作量,以提高調(diào)度航班公平性為目的,研究擁有多條跑道的大型機(jī)場(chǎng)航班優(yōu)化調(diào)度策略。首先針對(duì)單跑道機(jī)場(chǎng),建立進(jìn)離場(chǎng)航班優(yōu)化調(diào)度模型,將航空公司延誤損失及管制員工作負(fù)荷作為優(yōu)化目標(biāo),選用遺傳與滑動(dòng)時(shí)間窗疊加的優(yōu)化算法對(duì)模型進(jìn)行求解。其次,針對(duì)繁忙機(jī)場(chǎng)多條跑道的情況,以最小化延誤損失,最大化跑道資源利用率和航班調(diào)度最公平為目標(biāo),建立面向多條跑道的大型機(jī)場(chǎng)的航班調(diào)度研究排序模型,選取遺傳與蟻群相融合的遺傳-蟻群算法(Genetic Algorithm and Ant Algorithm,GAAA)進(jìn)行實(shí)驗(yàn)測(cè)試。這是因?yàn)镚AAA算法既具有遺傳算法高速敏捷的特性及較強(qiáng)的整體搜索能力,同時(shí)又具有蟻群算法并行運(yùn)算及運(yùn)行高效等優(yōu)點(diǎn)。通過仿真實(shí)驗(yàn),結(jié)果表明:本文所建立的航班調(diào)度研究模型及算法能夠很好地降低航班延誤損失,增加跑道吞吐量,提高航班調(diào)度的公平性,對(duì)緩解航班擁堵、減少航班大面積延誤提供決策與方法支撐。
[Abstract]:The rapid development of the economy has brought about the prosperity of the civil aviation industry, the increase of the flight volume and the rapid expansion of the demand for civil aviation. Civil aviation transportation has been in a difficult situation while moving forward. Study on the optimal scheduling problem of multi runway departure flights, airlines from the angle of the flight delay loss to reduce the cost, increase the economic benefit of the company; from the airport, can increase runway throughput, improved efficiency in the use of resources from the perspective of the scene; air traffic control departments, reduce the workload, ease air traffic, improve the fairness of flight scheduling, and provide a reference for solving the problem of flight delay. Based on a large number of foreign literature, combined with the current situation of civil aviation transportation in our country, respectively from three angles of airlines, airports, air traffic control departments of the airlines to reduce flight delays, improve economic efficiency, increase runway throughput, reduce the workload of controllers, in order to improve the fairness of the scheduling of flight for the purpose of large airport flight study on optimal scheduling strategy with multiple runways. First, a scheduling model of departure flights is established for single runway airports. Taking the airline's delay loss and controller workload as an optimization objective, we choose the optimization algorithm based on genetic algorithm and sliding time window to solve the model. Secondly, in the busy airport runway, to minimize the loss of delay, maximize the resource utilization rate and the runway flight scheduling is the most fair as the goal, set up a large airport on flights of scheduling model for multi runway, genetic ant colony algorithm adopts genetic and ant colony fusion (Genetic Algorithm and Ant Algorithm. GAAA) test. This is because the GAAA algorithm has the characteristics of high speed and agility of genetic algorithm and strong overall search ability. It also has the advantages of parallel operation and efficient operation of ant colony algorithm. Through simulation experiments, results show that the flight scheduling model and algorithm proposed in this paper can effectively reduce the loss of flight delays, increase runway throughput, improve the fairness of the flight scheduling, to alleviate congestion, provide law support flight delay decision and reduce a large area of flight.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：V355.2

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