Air holding problem solving with reinforcement learning to reduce airspace congestion-Reference-Cited by-同舟云学术

Air holding problem solving with reinforcement learning to reduce airspace congestion

Published:2014-10-29 Issue:5 Volume:49 Page:616-633
ISSN:0197-6729
Container-title:Journal of Advanced Transportation
language:en
Short-container-title:J. Adv. Transp.

Author:

Cruciol Leonardo L. B. V.¹,Weigang Li¹,de Barros Alexandre Gomes²,Koendjbiharie Marlon Winston³

Affiliation:

1. TransLab; University of Brasilia; Brasília DF Brazil

2. University of Calgary; Calgary Canada

3. University of Suriname; Paramaribo Suriname

Funder

Brazilian National Science and Technology Council (CNPq)

Publisher

Wiley

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/atr.1293/fullpdf

Reference23 articles.

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3. New Concepts and Methods in Air Traffic Management

4. Decision support system in tactical air traffic flow management for air traffic flow controllers;Weigang;Journal of Air Transport Management,2008

5. Souza BB Weigang L Crespo AMF Celestino VRR Flow Balancing Model for Air Traffic Flow Management The Twentieth International Conference on Software Engineering and Knowledge Engineering SEKE 08 2008 1 417 421

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