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机场群运行方式下的航班时刻与频率优化模型

吴刚 夏洪山 高强

吴刚, 夏洪山, 高强. 机场群运行方式下的航班时刻与频率优化模型[J]. 交通运输工程学报, 2013, 13(4): 79-86. doi: 10.19818/j.cnki.1671-1637.2013.04.012
引用本文: 吴刚, 夏洪山, 高强. 机场群运行方式下的航班时刻与频率优化模型[J]. 交通运输工程学报, 2013, 13(4): 79-86. doi: 10.19818/j.cnki.1671-1637.2013.04.012
WU Gang, XIA Hong-shan, GAO Qiang. Optimization model of flight time and frequency under operation mode of multi-airports system[J]. Journal of Traffic and Transportation Engineering, 2013, 13(4): 79-86. doi: 10.19818/j.cnki.1671-1637.2013.04.012
Citation: WU Gang, XIA Hong-shan, GAO Qiang. Optimization model of flight time and frequency under operation mode of multi-airports system[J]. Journal of Traffic and Transportation Engineering, 2013, 13(4): 79-86. doi: 10.19818/j.cnki.1671-1637.2013.04.012

机场群运行方式下的航班时刻与频率优化模型

doi: 10.19818/j.cnki.1671-1637.2013.04.012
基金项目: 

国家自然科学基金项目 61079014

中国民航局软科学基金项目 MHRD201221

详细信息
    作者简介:

    吴刚(1976-), 男, 江苏盐城人, 南京航空航天大学工学博士研究生, 从事民航信息工程与控制研究

    夏洪山(1952-), 导师, 男, 江苏泰州人, 南京航空航天大学教授

  • 中图分类号: V355.2

Optimization model of flight time and frequency under operation mode of multi-airports system

More Information
  • 摘要: 针对枢纽机场的拥堵问题, 提出了机场群航班时刻与频率优化策略。应用运输需求管理理论, 以旅客最小出行损失时间为目标函数, 以旅客流失率与航空公司客座率为约束条件, 建立了基于机场群运行方式的航班时刻与频率优化模型。根据机场群内5个机场的地面交通时间与枢纽机场的航班数量与平均延误的关系, 将机场群内各个机场的旅客需求进行分类, 采用k-means聚类算法, 计算了航班时刻与频率、旅客出行损失时间、机型与数量分配方式。计算结果表明: 在机场群运行方式下, 旅客需求分为7类, 满足全部旅客需求的航班数量为11个, 旅客出行损失时间为123 403min; 在独立运行方式下, 旅客需求分为8类, 满足全部旅客需求的航班数量为13个, 旅客出行损失时间为165 343min; 在机场群运行方式下, 采用遗传算法求得的满足全部旅客需求的航班数量为11个, 旅客出行损失时间为126 119min。

     

  • 图  1  需求点

    Figure  1.  Demand pionts

    图  2  算法流程

    Figure  2.  Algorithm flow

    表  1  旅客需求分布

    Table  1.   Distribution of passenger demands

    下载: 导出CSV

    表  2  地面交通时间

    Table  2.   Ground traffic time

    下载: 导出CSV

    表  3  航班数量与平均延误

    Table  3.   Flight amount and average delay

    下载: 导出CSV

    表  4  机场群运行方式下的航班时刻与频率

    Table  4.   Flight times and frequencies under operation mode of multi-airports system

    下载: 导出CSV

    表  5  机场群运行方式下的分类结果

    Table  5.   Classification result under operation mode of multi-airports system

    下载: 导出CSV

    表  6  独立运行方式下的航班时刻与频率

    Table  6.   Flight times and frequencies under independent operation mode

    下载: 导出CSV

    表  7  独立运行方式下的分类结果

    Table  7.   Classification result under independent operation mode

    下载: 导出CSV

    表  8  应用遗传算法的计算结果

    Table  8.   Calculation result by using genetic algorithm

    下载: 导出CSV
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出版历程
  • 收稿日期:  2013-01-18
  • 刊出日期:  2013-08-25

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