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U.S.-France Dissertation Enhancement: Development of Aircraft Conflict Resolution Algorithms

U.S.-France Dissertation Enhancement: Development of Aircraft Conflict Resolution Algorithms
美法论文强化:飞机冲突解决算法的开发
批准号:
0832503
负责人:
William Singhose
金额:
$1.08万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-07-01 至 2009-06-30

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中文摘要
翻译
该博士论文强化项目将进一步深化乔治亚理工学院机械工程博士生Adan Vela正在进行的空中交通管制和空中交通管理研究。Vela先生的顾问是乔治亚理工学院的William Singhose教授和John-Paul Clarke教授。该奖项将允许Vela先生与法国图卢兹École国家民用航空学院(ENAC)的Daniel Delahaye教授合作,开发新的算法来控制和评估空中交通流量。具体研究目标是开发一种实时空中交通分辨率算法,以在三维空间轨迹上保持安全的空中交通分离;将空中交通解决问题作为一个考虑空中交通管制和公平性的各种成本方面的优化方案;使用模拟飞行数据研究并验证算法在现有空中交通管制方法上的性能改进;并制定确定算法保证安全运行的空中交通率界限的方法。这项研究的核心目的是使美国空域在交通负荷增加的情况下也能安全有效地管理。此外,除了减少燃料排放外,所提出算法的应用还有望降低总体运营成本。该项目具有很强的国际互惠效益,将有助于模拟佐治亚理工学院和ENAC之间进一步的研究和教育合作。
英文摘要
This Doctoral Dissertation Enhancement Project will further the air traffic control and air traffic management research being conducted by Georgia Tech mechanical engineering doctoral student Adan Vela. Mr. Vela is advised by Professor William Singhose and Professor John-Paul Clarke at Georgia Tech. This award will allow Mr. Vela to collaborate with Professor Daniel Delahaye at École Nationale de l'Aviation Civile (ENAC) in Toulouse, France, to develop novel algorithms to control and evaluate air traffic flow.The specific research objectives are to develop a real-time air traffic resolution algorithm to maintain safe air traffic separation over three-dimensional spatial trajectories; pose air traffic resolution problems as an optimization program that considers various cost aspects of air traffic control and fairness; study and verify performance improvements of algorithm over existing air traffic control methods using simulated flight data; and formulate methods for determining the bounds of air traffic rates within which the algorithm will ensure safe operation. The core purpose of this research is to enable safe and efficient management of the US airspace even under increased traffic loads. Furthermore, application of proposed algorithms is expected to reduce overall operational costs in addition to reducing fuel emissions. This project has strong mutual international benefits and will help to simulate further research and educational collaboration between Georgia Tech and ENAC.
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  • 项目类别:
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