{"425771":{"#nid":"425771","#data":{"type":"news","title":"AE\u0027s Dr. J.P. Clarke and Clayton Tino awarded two patents","body":[{"value":"\u003Cp\u003EAE associate professor\u0026nbsp;\u003Ca href=\u0022http:\/\/www.ae.gatech.edu\/community\/staff\/bio\/clarke-j\u0022\u003EJohn-Paul Clarke\u003C\/a\u003E\u0026nbsp;and his former graduate student Clayton Tino, Ph.D. AE \u002713, have been awarded two patents for an algorithm they developed that will both improve the precision of aircraft arrival time computations and reduce aircraft fuel consumption.\u003C\/p\u003E\u003Cp\u003EFunded by a grant from General Electric (GE), the duo developed a Required Time of Arrival (RTA) algorithm that will allow pilots to compute the optimal speed to fly so that they will arrive at a given point at a specified time in the future while at the same time minimizing the amount of fuel that is consumed while getting there.\u003C\/p\u003E\u003Cp\u003EAccording to Clarke, \u201cThe fuel efficiency of the required time of arrival [RTA] algorithm is particularly important, given the reliance of the Federal Aviation Administration [FAA] on four-dimensional trajectories [4DT] as the\u0026nbsp;basis for all future traffic management functions, and the fact that 4DT will ultimately be achieved via the RTA mode of the Flight Management System [FMS] that controls the trajectory of the aircraft.\u201d\u003C\/p\u003E\u003Ctable width=\u0022200\u0022 border=\u00220\u0022 cellspacing=\u00221\u0022 cellpadding=\u00225\u0022 align=\u0022right\u0022\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd\u003E\u003C\/td\u003E\u003C\/tr\u003E\u003Ctr\u003E\u003Ctd class=\u0022rtecenter\u0022\u003E\u003Cem\u003E\u003Cstrong\u003EDr. Clayton Tino, AE \u002713\u003Cbr \/\u003E\u003C\/strong\u003E\u003C\/em\u003E\u003C\/td\u003E\u003C\/tr\u003E\u003C\/tbody\u003E\u003C\/table\u003E\u003Cp\u003EThe algorithm employs a two-stage stochastic framework\u0026nbsp;and a computationally efficient algorithm to solve fuel burn optimization\u0026nbsp;and RTA adherence sub-problems, which functions as follows. Given forecasted\u0026nbsp;winds along a specified route and a required time of arrival at a metering waypoint, a\u0026nbsp;quadratic searching algorithm is utilized to solve both RTA and fuel burn sub-problems.\u003C\/p\u003E\u003Cp\u003EThe process balances RTA adherence goals with a minimum expected fuel burn objective.\u003C\/p\u003E\u003Cp\u003E\u201cThis\u0026nbsp;algorithm is specifically valuable as it is computationally tractable in on-board systems\u0026nbsp;with demonstrably repeatable results, and there is no\u0026nbsp;indication of a major shift in controls or FMS hardware available on board future\u0026nbsp;commercial carrier platforms,\u0022 said Tino, who currently works as a resource management architect for Virtustream, Inc.\u003C\/p\u003E\u003Cp\u003EIn recognition of this achievement,\u0026nbsp;GE has exercised its option\u0026nbsp;to seek licenses for the underlying model and the algorithm, and has paid for all costs\u0026nbsp;associated with the two patent applications.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"AE associate professor John-Paul Clarke and his former graduate student Clayton Tino, Ph.D. AE \u002713, have been awarded two patents for an algorithm they developed that will both improve the precision of aircraft arrival time computation."}],"uid":"27456","created_gmt":"2015-07-16 13:46:34","changed_gmt":"2016-10-08 03:19:08","author":"Britanny Grace","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-07-18T00:00:00-04:00","iso_date":"2014-07-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1239","name":"School of Aerospace Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"2082","name":"aerospace engineering"},{"id":"135511","name":"Clayton Tino"},{"id":"130151","name":"J.P. Clarke"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":["communications@ae.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}