Design of an Optimal Route Structure Using Heuristics-Based Stochastic Schedulers-Reference-Cited by-同舟云学术

Design of an Optimal Route Structure Using Heuristics-Based Stochastic Schedulers

Published:2015-05 Issue:3 Volume:52 Page:764-777
ISSN:0021-8669
Container-title:Journal of Aircraft
language:en
Short-container-title:Journal of Aircraft

Author:

Choi Seongim¹,Mulfinger Daniel G.²,Robinson John E.²,Capozzi Brian J.³

Affiliation:

1. Department of Aerospace and Ocean Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24060

2. Airspace Systems Division, NASA Ames Research Center, Moffett Field, California 94035

3. Mosaic ATM, Leesburg, Virginia 20175

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Aerospace Engineering

Link

http://arc.aiaa.org/doi/pdf/10.2514/1.C032645

Reference14 articles.

1. BaxleyB. T.JohnsonW. C.SwensonH. N.RobinsonJ. E.PrevotT.CallantineT. J.ScardinaJ.GreeneM. “Air Traffic Management Technology Demonstration-1 Concept of Operations (ATD-1 ConOps),” Ver. 2.0, NASA TM-2013-218040, 2013.

2. SwensonH.BarhydtR.LandisM. “Next Generation Air Transportation System (NGATS) Air Traffic Management (ATM)-Airspace Project (External Release),” Ver. 6.0, NASA Rept., Moffett Field, CA, June 2006.

3. Flexible, Performance-Based Route Planning for Super-Dense Operations

4. A Concept for Robust, High Density Terminal Air Traffic Operations

5. TRAC Trial Planning and Scenario Generation to Support Super-Density Operations Studies

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