Risk management using big real time data
Master thesis
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Date
2014-06-16Metadata
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- Studentoppgaver (TN-IDE) [866]
Abstract
This thesis focuses on risk management of flight delay area using big real time data. It
proposes two different prediction models, one is called General Long Term Departure
Prediction Model and the other is named as Improved Real Time Arrival Prediction Model.
By studying the main factors lead to flight delay, this thesis takes weather, carrier, National
Aviation System, security and previous late aircraft as analysis factors. By utilizing our
models can do not only long time but also short term flight delay predictions. The results
demonstrate goodness of fit. Besides the theory part, it also presents a practical and beautiful
web application for real time flight arrival prediction based on our second model.
Description
Master's thesis in Computer science