https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Schleicher_et_al_2012aSchleicher et al 2012a - Revision history2026-04-18T18:52:25ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Schleicher_et_al_2012a&diff=197655&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 870977153 to Schleicher et al 2012a2021-02-01T20:18:51Z<p>Scipediacontent moved page <a href="/public/Draft_Content_870977153" class="mw-redirect" title="Draft Content 870977153">Draft Content 870977153</a> to <a href="/public/Schleicher_et_al_2012a" title="Schleicher et al 2012a">Schleicher et al 2012a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Schleicher_et_al_2012a&diff=197654&oldid=prevScipediacontent: Created page with " == Abstract == In generating advisories, current ground Air Traffic Management (ATM) automation tools such as NASA’s Center-TRACON Automation System (CTAS) and MITRE’s U..."2021-02-01T20:18:46Z<p>Created page with " == Abstract == In generating advisories, current ground Air Traffic Management (ATM) automation tools such as NASA’s Center-TRACON Automation System (CTAS) and MITRE’s U..."</p>
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== Abstract ==<br />
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In generating advisories, current ground Air Traffic Management (ATM) automation tools such as NASA’s Center-TRACON Automation System (CTAS) and MITRE’s User Request Evaluation Tool (URET) rely upon an aging ground ATM infrastructure to provide current state and to predict future intentions of aircraft. Significant improvement in these advisories could be achieved by tapping into the high-precision state and intent data available onboard today’s air transport aircraft. A recent NASA/FAA data exchange experiment was conducted to assist in quantifying the potential of datalink to improve ground-based ATM automation performance. This paper reports the results of a study into the quantitative characteristics of the improved lateral intent information and its potential impact on automation conflict detection performance. The results suggest that the downlink of flight management system (FMS) state and intent data will significantly improve the performance of current technology ground automation.<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://www.aviationsystemsdivision.arc.nasa.gov/publications/more/agi/schleicher_10_02.pdf http://www.aviationsystemsdivision.arc.nasa.gov/publications/more/agi/schleicher_10_02.pdf]<br />
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* [http://arc.aiaa.org/doi/pdf/10.2514/6.2002-5845 http://arc.aiaa.org/doi/pdf/10.2514/6.2002-5845],<br />
: [http://dx.doi.org/10.2514/6.2002-5845 http://dx.doi.org/10.2514/6.2002-5845]<br />
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* [https://www.aviationsystemsdivision.arc.nasa.gov/publications/more/agi/schleicher_10_02.pdf https://www.aviationsystemsdivision.arc.nasa.gov/publications/more/agi/schleicher_10_02.pdf],<br />
: [https://arc.aiaa.org/doi/10.2514/6.2002-5845 https://arc.aiaa.org/doi/10.2514/6.2002-5845],<br />
: [https://www.aviationsystems.arc.nasa.gov/publications/more/agi/schleicher_10_02.pdf https://www.aviationsystems.arc.nasa.gov/publications/more/agi/schleicher_10_02.pdf],<br />
: [https://academic.microsoft.com/#/detail/2132919357 https://academic.microsoft.com/#/detail/2132919357]</div>Scipediacontent