https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Todi_et_al_2020aTodi et al 2020a - Revision history2026-04-10T09:37:14ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Todi_et_al_2020a&diff=209128&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 685185065 to Todi et al 2020a2021-02-03T20:48:56Z<p>Scipediacontent moved page <a href="/public/Draft_Content_685185065" class="mw-redirect" title="Draft Content 685185065">Draft Content 685185065</a> to <a href="/public/Todi_et_al_2020a" title="Todi et al 2020a">Todi et al 2020a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Todi_et_al_2020a&diff=209127&oldid=prevScipediacontent: Created page with " == Abstract == We propose and implement a decentralized, intelligent air traffic flow management (ATFM) solution to improve the efficiency of air transportation in the ASEAN..."2021-02-03T20:48:52Z<p>Created page with " == Abstract == We propose and implement a decentralized, intelligent air traffic flow management (ATFM) solution to improve the efficiency of air transportation in the ASEAN..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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We propose and implement a decentralized, intelligent air traffic flow management (ATFM) solution to improve the efficiency of air transportation in the ASEAN region as a whole. Our system, named BlockAgent, leverages the inherent synergy between multi-agent reinforcement learning (RL) for air traffic flow optimization; and the rising blockchain technology for a secure, transparent and decentralized coordination platform. As a result, BlockAgent does not require a centralized authority for effective ATFM operations. We have implemented several novel distributed coordination approaches for RL in BlockAgent. Empirical experiments with real air traffic data concerning regional airports have demonstrated the feasibility and effectiveness of our approach. To the best of our knowledge, this is the first work that considers blockchain-based, distributed RL for ATFM.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
<br />
* [https://ink.library.smu.edu.sg/sis_research/4647 https://ink.library.smu.edu.sg/sis_research/4647] under the license cc-by-nc-nd<br />
<br />
* [http://xplorestaging.ieee.org/ielx7/8961950/8972012/08972225.pdf?arnumber=8972225 http://xplorestaging.ieee.org/ielx7/8961950/8972012/08972225.pdf?arnumber=8972225],<br />
: [http://dx.doi.org/10.1109/indin41052.2019.8972225 http://dx.doi.org/10.1109/indin41052.2019.8972225]<br />
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* [https://dblp.uni-trier.de/db/conf/indin/indin2019.html#DuongTCT19 https://dblp.uni-trier.de/db/conf/indin/indin2019.html#DuongTCT19],<br />
: [https://ink.library.smu.edu.sg/sis_research/4647 https://ink.library.smu.edu.sg/sis_research/4647],<br />
: [https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=5650&context=sis_research https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=5650&context=sis_research],<br />
: [https://academic.microsoft.com/#/detail/2998550536 https://academic.microsoft.com/#/detail/2998550536]</div>Scipediacontent