京津冀机场群协同发展下的航线优化研究

发布时间：2018-03-04 18:46

本文选题：机场群　切入点：航线优化　出处：《中国民航大学》2017年硕士论文　论文类型：学位论文

【摘要】：近年来,区域机场群协同发展成为未来的发展趋势。然而,我国关于机场群的研究尚处于起步阶段,出现了机场群内发展不均衡、缺乏协同、功能定位不清晰、空管运行难度大、服务品质降低等问题。因此,本文以京津冀机场群为研究对象,借鉴国外先进发展经验,从协同发展的角度对机场群航线优化进行研究。首先,在了解国内外研究现状的基础上,阐述了机场群的定义、主要特征和形成原因,运用机场群生命周期理论将机场群的发展划分为四个阶段,预测了京津冀机场群未来的演化发展趋势,在总结归纳全世界各大机场群的功能定位模式的基础上,对京津冀不同发展阶段下的功能定位进行了具体的分析和阐述;其次,通过将京津冀机场群与纽约机场群进行对比分析,找出京津冀机场群的存在问题,学习其先进的管理经验再结合国内实际情况提出了机场群协同发展推进机制;最后,以京津冀机场群为例,运用SPSS统计分析软件,采用主成分分析法对机场群航线的协同程度进行了综合评价,构建了以机场群总体效益最大化为目标的机场群航线优化模型,运用改进的决策树C4.5算法对比各方案损益值寻找最优解,将优化后的航班时刻表用SIMMOD进行仿真验证,实验结果表明,经航线优化后的京津冀机场群空管运行冲突水平和航班延误得到了缓解,机场容量进一步提升,航班时刻得到充分利用。
[Abstract]:In recent years, the cooperative development of regional airport cluster has become a trend in the future. However, the research on airport cluster in China is still in its infancy. Therefore, this paper takes Beijing-Tianjin-Hebei airport group as the research object, draws lessons from the foreign advanced development experience, carries on the research from the coordinated development angle to the airport cluster route optimization. On the basis of understanding the current research situation at home and abroad, this paper expounds the definition, main characteristics and formation reasons of airport cluster, and divides the development of airport group into four stages by using the theory of airport cluster life cycle. The future evolution trend of Beijing, Tianjin and Hebei airports is predicted. On the basis of summing up and summarizing the functional positioning models of the major airports around the world, the functional positioning of the Beijing, Tianjin and Hebei airports at different stages of development is analyzed and elaborated in detail. Secondly, By comparing and analyzing the Beijing-Tianjin-Hebei Airport Group and the New York Airport Group, this paper finds out the existing problems of the Beijing-Tianjin-Hebei Airport Group, learns its advanced management experience and puts forward the cooperative development promotion mechanism of the Airport Group. Taking the Beijing-Tianjin-Hebei airport group as an example, using SPSS statistical analysis software and principal component analysis method, the cooperative degree of the airport group route is comprehensively evaluated, and the optimization model of the airport group route is constructed with the goal of maximizing the overall benefit of the airport group. The improved decision tree C4.5 algorithm is used to compare the profit and loss value of each scheme to find the optimal solution. The optimized flight schedule is simulated with SIMMOD. The experimental results show that, After route optimization, the level of air traffic control conflict and flight delay in the Beijing-Tianjin-Hebei airport group have been alleviated, the airport capacity has been further improved, and the flight time has been fully utilized.
【学位授予单位】：中国民航大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F562.8

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