Estimating landing time based on historical data

Aerlabs

Bachelor thesis (2020)

Authors

T.L.M. Polderdijk Electrical Engineering, Mathematics and Computer Science
J.M. Bervoets Electrical Engineering, Mathematics and Computer Science
E.A. Dammeijer Electrical Engineering, Mathematics and Computer Science
B.R. Schrijver Electrical Engineering, Mathematics and Computer Science
Y. Wu Electrical Engineering, Mathematics and Computer Science

Contributors

Jan S. Rellermeyer Data-Intensive Systems - EEMCS (mentor)
T.A.R. Overklift Vaupel Klein Computer Science & Engineering-Teaching Team - EEMCS (graduation committee member)
R. Koster (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, 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
expand_more

Published Date

02-07-2020

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

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.

Files

BEP2020_Aerlabs_Final_Report.p... (pdf)
(pdf | 4.64 Mb)
Unknown license