Estimating landing time based on historical data

Aerlabs

Bachelor Thesis (2020)
Author(s)

T.L.M. Polderdijk (TU Delft - Electrical Engineering, Mathematics and Computer Science)

J.M. Bervoets (TU Delft - Electrical Engineering, Mathematics and Computer Science)

E.A. Dammeijer (TU Delft - Electrical Engineering, Mathematics and Computer Science)

B.R. Schrijver (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Y. Wu (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Jan Rellermeyer – Mentor (TU Delft - Data-Intensive Systems)

T.A.R. Overklift Vaupel Klein – Graduation committee member (TU Delft - Computer Science & Engineering-Teaching Team)

R. Koster – Graduation committee member

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2020 T.L.M. Polderdijk, J.M. Bervoets, E.A. Dammeijer, B.R. Schrijver, Y. Wu
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 T.L.M. Polderdijk, J.M. Bervoets, E.A. Dammeijer, B.R. Schrijver, Y. Wu
Graduation Date
02-07-2020
Awarding Institution
Delft University of Technology
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

This report is a document that presents the project Estimating landing time based on historical data. We want to succeed in designing and implementing a system based on requirements posed by our client AerLabs. The main goal we are researching is whether we can accurately predict the landing time and runway
of arriving flights at Amsterdam Schiphol Airport (AMS). For an end-user to interact with these predictions and flight’s information, a graphical user interface needed to be developed.

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