/Data-Mining-Regression-Project

Supervised Regression Project to predict predict the taxi times of aircraft.

Primary LanguageJupyter NotebookMIT LicenseMIT

Data-Mining-Regression-Project

This is a project that applies a Supervised Regression model to predict the time taken for an aircraft to complete a taxi maneuver

Taxitime is the time it takes for planes to organizes or moves on the ground between the terminal building and the run way.
  • The idea is that the runway times are fixed so for "Departures" predict the latest time to push back from the gate so that we don’t need to que at the runway.
  • Instead making the aircraft queue at the gate with the engine switched off
  • For "Arrivals", we want to predict the arrival time at the gate so we properly prepare it to receive passengers
  • Possible Application/Deployment Area:

    Predictions could also be used by an automated rooting system that finds the route through the taxiways that takes the shortest time, the least few or is the most unlikely to be disrupted.