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INTRODUCTION
INTRODUCTION
Background
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
Problem
- Crowded airspace becoming unpredictable.
- Rescheduling of critical airspace operations because of delays.
- Bad customer experience.
- How to rank different airlines.
OBJECTIVE
OBJECTIVE
- Explore and analysis the data
- Delay Prediction
- Airlines Rank
- Airlines Recommendation
FUTURE WORK
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…).
TEAM MEMBERS
TEAM MEMBERS
FIND US
FIND US
OUR LOCATION
Burchard Building
Stevens Institute of Technology
1 Castle Point Terrace
Hoboken, NJ 07030
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