When you ’re fly anywhere you may fairly much turn the whole day into a black golf hole . The airport / in - flight of stairs wifi was n’t work . We seat at the logic gate for an minute . We were in a holding pattern . It ’s nifty . But sometimes , sometimes you really want to get where you ’re going .
hope to improvearrival forecasting , GE , Alaska Airlines andKagglecreated a challenge anticipate Flight Quest , offering data analysts a slice of $ 600,000 if they proposed a more accurate numerical model for flight pattern . The contest gave participants access to flight data from the National Airspace System . The two months of data contained origin , destination and flight routine data , plus weather , wind and lieu info .
More than 3,000 submissions came in from 58 land . The winner , a Singapore - base team call Gxav & * built a model that improves runway and gate arrival time predications by about 40 percent . If the framework is implemented traveler would still only save about five minutes at the gate , but airline could save up millions of dollars a year . shave one minute off each departure could reduce crew toll by $ 1.2 million and fuel costs by $ 5 million .
Everyone wants to palliate the hassle of flight and the contest could be the starting time of a positivistic trend , but combing through all those data may have occupy its toll . Pawel Jankiewicz , a member of the squad that came in second said that the data “ starts to talk to me . I must know what it means . ” [ GE , GE ReportsviaPopSci ]
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