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GE Flight Quest

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Finished
Wednesday, November 28, 2012
Monday, March 11, 2013
$250,000 • 173 teams

Deadlines

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  • November 29, 2012
    Competition Launch
  • December 18, 2012
    Leaderboard Activated
  • February 14, 2013
    Model Submission Deadline
  • March 4, 2013
    Final Data Released
  • March 11, 2013
    Final Submission Deadline

Prize Pool

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1st $100,000
2nd $50,000
3rd $40,000
4th $30,000
5th $20,000 

LSU Prize ?

$10,000

Think you can change the future of flight?

Flight Quest Phase 1 Winners

  1. Team Gxav &* used a mixture of gradient boosting and random forest models to predict gate and runway arrival times. With average errors of 4.2 and 3.2 minutes for gate and runway arrivals, respectively, this translates to 40% and 45% improvements over the standard industry benchmark estimates. Key to their success was careful feature selection with their final models using only 58 and 84 features for gate and runway arrivals, respectively, from the total 258 features they painstakingly constructed and optimized.
  2. Team As High As Honor used a two-step approach that combined the results of a generalized linear model that encoded intuition about important variables with refinements derived from a random forest model. The team capitalized on the success of the linear model to add the effects of multiple variables and cleanly resolve issues of missing data.

Think you can change the future of flight?

Did you know airlines are constantly looking for ways to make flights more efficient? From gate conflicts to operational challenges to air traffic management, the dynamics of a flight can change quickly and lead to costly delays.

There is good news. Advancements in real-time big data analysis are changing the course of flight as we know it. Imagine if the pilot could augment their decision-making process with “real time business intelligence,”—information available in the cockpit that would allow them to make adjustments to their flight patterns. 

Your challenge, should you decide to accept it: 

Use the different data sets found on this page under Get the Data to develop a usable and scalable algorithm that delivers a real-time flight profile to the pilot, helping them make flights more efficient and reliably on time.

Started: 6:36 pm, Wednesday 28 November 2012 UTC
Ended: 11:59 pm, Monday 11 March 2013 UTC(103 total days)