Modeling and Optimization in Traffic Flow Management

被引：52
作者：
Sridhar, Banavar [1 ]
Grabbe, Shon R. [1 ]
Mukherjee, Avijit [1 ]
机构：
[1] NASA, Ames Res Ctr, Moffett Field, CA 94035 USA
来源：
PROCEEDINGS OF THE IEEE | 2008年 / 96卷 / 12期
关键词：
Aggregate models; air traffic management; collaborative decision making; complex systems; delay modeling; ground delay; large-scale optimization; linear optimization; performance metrics; traffic flow management; uncertainty; weather impacts;
D O I：
10.1109/JPROC.2008.2006141
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Traffic flow management (TFM) allocates the various airport, airspace, and other resources to maintain an efficient traffic flow consistent with safety. TFM is a complex area of research involving the disciplines of operations research, guidance and control, human factors, and software engineering. Hundreds of human operators make TFM decisions that involve tens of thousands of aircraft, en route air traffic control centers, the Federal Aviation Administration's System Command Center, and many airline operation centers. This paper provides an overview of how TFM decisions are made today and challenges facing the system in the future, and reviews modeling and optimization approaches for facilitating system-wide modeling, performance assessments, and system-level optimization of the national airspace system in the presence of both en route and airport capacity constraints.
引用
收藏
页码：2060 / 2080
页数：21
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