期刊文献+

效益和公平性的多跑道航班调度精确算法研究 被引量:3

Exact Algorithm for Multi-runway Scheduling of Flights at Airports Considering Airline Company Profits and Fairness
下载PDF
导出
摘要 机场终端区航班拥堵延误现象日趋严重。机场管理者,一方面要减少航班总延迟成本,另一方面也要维持航空公司间竞争公平性。为多跑道航班协同调度问题建立双目标规划模型,为了精确求解优化问题的Pareto前沿,开发出epsilon约束算法。最后通过算例来说明模型的可行性和算法的有效性。利用数学规划理论建模并开发精确求解算法,为机场资源优化研究提供重要参考。 In recent years,more and more flights delay at airports. For airport managers,on the one hand,they need to minimize the total aircraft delay cost for all airlines,and on the other hand,they need to maintain the fairness for all airline companies. This paper studies the arrival-and-departure flight scheduling problem on multiple runways. We set two objective functions,i. e.,the first one minimizing the total delay cost of all airplanes and the second minimizing difference of fairness. We establish a bi-objective programming model. Then to obtain the exact Pareto front,we develop an epsilon-constraint method. We use an example to demonstrate a possible application of our model as well as how to solve the problem by our algorithm. The purpose of this work is to obtain exact solution set for the bi-objective optimization problem,which can help practitioners in airport management to optimize critical resources.
出处 《航空计算技术》 2017年第2期25-28,共4页 Aeronautical Computing Technique
基金 国家自然科学基金项目资助(71531011)
关键词 机场物流 整数规划 双目标优化 Epsilon精确算法 airport logistics integer programming bi-objective optimization epsilon exact algorithm
  • 相关文献

参考文献2

二级参考文献23

  • 1HU X B,DI Paolo E. Binary-representation-based ge- netic algorithm for aircraft arrival sequencing and scheduling[J]. Intelligent Transportation Systems, IEEE Transactions on, 2008,9 (2) : 301-310.
  • 2WAMBSGANSS M C. Collaborative decision making in air traffic management[M]. Springer Berlin Hei- delberg: New Concepts and Methods in Air TrafficManagement, 2001.
  • 3CHANG K, HOWARD K, OIESEN R, et al. En- hancements to the FAA ground-delay program under collaborative decision making[J]. Interfaces,2001,31 (1) :57-76.
  • 4WAMBSGANSS M. Collaborative decision making through dynamic information transfer[J]. Air Traffic Control Quarterly, 1997,4(2) : 107-123.
  • 5HOFFMAN R,HALL W,BALL M,et aL Collabora- tive decision making in air traffic flow management [J]. Manuscript in Preparation, 1999 : 155-161.
  • 6MUKHERJEE A, HANSEN M. A dynamic stochastic model for the single airport ground holding problem[J]. Transportation Science,2007,41(4) :444-456.
  • 7BALL M O, HOFFMAN R, MUKHERJEE A. Ground delay program planning under uncertainty based on the ration-by-distance principle[J]. Trans- portation Science, 201 O, 44 ( 1 ) : 1 14.
  • 8ZHAN Z H,ZHANG J,LI Y,et al. An efficient ant colony system based on receding horizon control for the aircraft arrival sequencing and scheduling prob- lem[J]. Intelligent Transportation Systems, IEEE Transactions on, 2010,11 (2) : 399-412.
  • 9DARIANO A, ErURGOLO P, PACCIARELLI D, et al. Optimal sequencing of aircrafts take-off and land- ing at a busy airport[C] /// Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference on. IEEE, 2010 : 1569-1574.
  • 10HELMKE H, GLUCHSHENKO O, MARTIN A, et al. Optimal mixed-mode runway scheduling Mixed- integer programming for ATC scheduling[C] // Dig- ital Avionics Systems Conference (DASC), 2011 IEEE/AIAA 30th. IEEE,2011 ;2C4-1-2C4-13.

共引文献10

同被引文献23

引证文献3

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部