Analysis of Flight Time Data & Delay Causes

Gillespie, Daniel (2014) Analysis of Flight Time Data & Delay Causes. Diploma thesis, Dublin, National College of Ireland.

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This project involved an examination of US flight traffic data, obtained for the year 2013, with a particular focus on flight delays in order to identify the factors and relationships between the main dataset variables and these delays as well as looking at the performance of the main variables including airline carriers, airports and departure times, in relation to delays with a view to developing a model for predicting future departure delays.

The implementation steps for the system architecture including descriptions of the system components were outlined followed by a description of the dataset as well as the data acquisition and pre-processing phases.

Visual, exploratory and summary analysis was conducted on the pre-processed data, the results of which confirmed patterns and relationships between certain variables, including specific departure time periods, and flight departure delays and outlined the varying levels of on-time performance of the top ten airline carriers and the top twenty airport destinations. The analysis also confirmed the main contributory factors leading to arrival delays.

Machine learning algorithms were used to develop classification models for predicting whether a flight was likely to be delayed or otherwise based on a sample dataset. The most efficient model developed performed reasonably well in terms of its overall error rate although further work is required to improve performance. Additional testing featuring additional pre-processing, variable selection and larger validation datasets is also required in order to complete the model development.

Item Type: Thesis (Diploma)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Higher Diploma in Science in Data Analytics
Date Deposited: 12 Dec 2014 16:51
Last Modified: 12 Dec 2014 16:51

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