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An intelligent optimization system for terminal traffic management.

机译：用于终端流量管理的智能优化系统。

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摘要

This dissertation presents the development of a terminal traffic flow management system using an intelligent optimization method. The system is in an effort to provide advisories to efficiently assign runways to cope with the unbalanced traffic flow from and/or toward different directions and computes the optimal arrival or departure time for each flight. This is a high fidelity advisory system to assist traffic managers at airports to manage the complex terminal traffic in a more efficient fashion in order to ultimately minimize the overall flight delay in the entire airport and maintain a high level of safety at the same time. Multiple objectives pertaining to overall airport throughput, system delay, maximum individual delay, and runway balance are used. The system described in this study utilizes knowledge base intelligent optimization methods and takes advantage of the self-contained mixed integer linear program. The mixed integer linear program calculates the optimal schedule for each aircraft for each runway while the intelligent optimization method is used to produce optimal runway assignment for all flights in the entire airport. The importance of improving airport efficiency is introduced in detail in this dissertation. The system explicitly considers eliminating mid-air crossings within the terminal airspace due to irrational runway assignments. This not only improves safety but also effectively reduces controller workload. The importance and contribution of the study is addressed. This system is suitable for an airport with multiple runways. Simulations were conducted based on the real traffic mix for four of the 30 busiest airports in the United States and the results of the simulation prove the feasibility of the system. Future development of the system is also discussed.
机译：本文提出了一种使用智能优化方法的终端交通流管理系统的开发。该系统致力于提供建议，以有效地分配跑道，以应对往返不同方向的不平衡交通流，并计算每次飞行的最佳到达或离开时间。这是一个高保真咨询系统，可帮助机场的交通管理人员以更高效的方式管理复杂的码头交通，以最终最大程度地降低整个机场的总体航班延误并同时保持较高的安全性。使用了与总体机场吞吐量，系统延误，最大个人延误和跑道平衡有关的多个目标。本研究中描述的系统利用知识库的智能优化方法，并利用了自包含的混合整数线性程序。混合整数线性程序为每条跑道的每架飞机计算最佳时间表，而智能优化方法用于为整个机场的所有航班产生最佳跑道分配。本文详细介绍了提高机场效率的重要性。该系统明确考虑消除由于不合理的跑道分配而导致的终端空域内的空中交叉。这不仅提高了安全性，而且有效地减少了控制器的工作量。研究的重要性和贡献。该系统适用于具有多个跑道的机场。基于美国30个最繁忙机场中的四个的实际交通流量进行了仿真，仿真结果证明了该系统的可行性。还讨论了该系统的未来发展。

著录项

  • 作者

    Lee, Hoilun Helen.;

  • 作者单位

    University of Minnesota.;

  • 授予单位 University of Minnesota.;
  • 学科 Engineering Aerospace.;Operations Research.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 99 p.
  • 总页数 99
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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