An Air Traffic Controller Action Extraction-Prediction Model Using Machine Learning Approach

<div class="floats-full-page floats-full-page-other"><h2>Table 4</h2><div class="floats-full-page-caption"><div>Flight information (features) at entry point and actions and their values.</div></div><div class="floats-full-page-content"><table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr /></td></tr><tr class="thead"><td class="align_left">Features</td><td class="align_center">Action values</td><td class="align_center">Actions</td></tr><tr><td class="thead-hr" colspan="3"><hr /></td></tr><tr><td class="align_left">Longitude</td><td class="align_center">Ground speed rate</td><td class="align_center">(1) speed up</td></tr><tr><td class="align_left">Latitude</td><td class="align_center">Vertical speed</td><td class="align_center">(0) maintain speed</td></tr><tr><td class="align_left">Altitude</td><td class="align_center"><svg height="8.68572pt" id="M37" style="vertical-align:-0.0498209pt" version="1.1" viewbox="-0.0498162 -8.6359 8.46388 8.68572" width="8.46388pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M600 0V24L339 665L311 657L43 24V0H600ZM497 50H107L303 539L497 50Z"></path></g></svg> Course</td><td class="align_center">(−1) slow down</td></tr><tr><td class="align_left">Ground speed</td><td class="align_center"> </td><td class="align_center">(1) cimb</td></tr><tr><td class="align_left">Vertical speed</td><td class="align_center"> </td><td class="align_center">(0) maintain level</td></tr><tr><td class="align_left">Course</td><td class="align_center"> </td><td class="align_center">(−1) descent</td></tr><tr><td class="align_left">Destination</td><td class="align_center"> </td><td class="align_center">(1) turn right</td></tr><tr><td class="align_left">Origin</td><td class="align_center"> </td><td class="align_center">(0) maintain course</td></tr><tr><td class="align_left">Month of year</td><td class="align_center"> </td><td class="align_center">(−1) turn left</td></tr><tr><td class="align_left">Day of week</td><td class="align_center"> </td><td class="align_center"> </td></tr><tr><td class="align_left">Hour of day</td><td class="align_center"> </td><td class="align_center"> </td></tr><tr><td class="align_left">Flight ident</td><td class="align_center"> </td><td class="align_center"> </td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 4 | An Air Traffic Controller Action Extraction-Prediction Model Using Machine Learning Approach

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Table 4: An Air Traffic Controller Action Extraction-Prediction Model Using Machine Learning Approach

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Table 4

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<p><em>Complexity</em> publishes original research and review articles across a broad range of disciplines with the purpose of reporting important advances in the scientific study of complex systems.</p>


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Complexity publishes original research and review articles across a broad range of disciplines with the purpose of reporting important advances in the scientific study of complex systems.