The Prediction of Flight Delays Using Regression Method

--EE608 Final Project

INTRODUCTION

Background

Operating an air transportation system efficiently is a highly complex problem.

However, flight delays are very important to both passengers and airlines. Passengers will feel happy and satisfied if their flight take off and land on time. Airlines can save money because reducing the average delay per flight by one minute can save mid-sized airlines millions of dollars in annual crew costs and fuel savings.

Key word: Flight Delay Prediction, Data analysis, Regression

Problem

Crowded airspace becoming unpredictable.
Rescheduling of critical airspace operations because of delays.
Bad customer experience.
How to rank different airlines.

OBJECTIVE

Explore and analysis the data
Delay Prediction
Airlines Rank
Airlines Recommendation

Project (Click it)

FUTURE WORK

We would like to further improve our models, perhaps with more training-data or deep neural network.
We will implement prediction results on airline rank.
Airports comparison will be added.
Applied other regularization methods (LASSO…).