https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Zhou_et_al_2013aZhou et al 2013a - Revision history2026-04-23T15:06:39ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Zhou_et_al_2013a&diff=192753&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 384787382 to Zhou et al 2013a2021-01-28T18:08:30Z<p>Scipediacontent moved page <a href="/public/Draft_Content_384787382" class="mw-redirect" title="Draft Content 384787382">Draft Content 384787382</a> to <a href="/public/Zhou_et_al_2013a" title="Zhou et al 2013a">Zhou et al 2013a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Zhou_et_al_2013a&diff=192752&oldid=prevScipediacontent: Created page with " == Abstract == This paper suggests an effective approach to design optimal strategic air traffic management strategies under weather uncertainty. The approach is based on th..."2021-01-28T18:08:26Z<p>Created page with " == Abstract == This paper suggests an effective approach to design optimal strategic air traffic management strategies under weather uncertainty. The approach is based on th..."</p>
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== Abstract ==<br />
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This paper suggests an effective approach to design optimal strategic air traffic management strategies under weather uncertainty. The approach is based on the multivariate probabilistic collocation method, which constructs a good low-order polynomial approximation of the original system mapping over likely parameter values, from which optimal management strategies can be derived. We illustrate the optimal management design procedure through an example of designing Minutesin-trail (MINIT) and routing strategies for two correlated weather zones. The performance analysis shows this approach is promising for the real-time design of strategic air traffic management strategies due to its correctness and efficiency.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://pdfs.semanticscholar.org/755e/dddea4b069dfa3373ffa0255006f24939679.pdf http://pdfs.semanticscholar.org/755e/dddea4b069dfa3373ffa0255006f24939679.pdf]<br />
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* [http://arc.aiaa.org/doi/pdf/10.2514/6.2013-4352 http://arc.aiaa.org/doi/pdf/10.2514/6.2013-4352],<br />
: [http://dx.doi.org/10.2514/6.2013-4352 http://dx.doi.org/10.2514/6.2013-4352]<br />
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* [https://arc.aiaa.org/doi/pdf/10.2514/6.2013-4352 https://arc.aiaa.org/doi/pdf/10.2514/6.2013-4352],<br />
: [https://academic.microsoft.com/#/detail/2327111420 https://academic.microsoft.com/#/detail/2327111420]</div>Scipediacontent