Designing optimal routes for self-driving traveller – Yaqian Chi
Yaqian Chi
Bachelor's thesis
Designing optimal routes for self-driving traveller
Abstract:
Through three quantitative methods (the nearest neighbor algorithm, the Vogel approximation algorithm, and lastly saving algorithm ) to design an optimized and high-quality travel route for self-driving travel enthusiasts to travel five European countries.
Language used: English
Date on which the thesis was submitted / produced: 30. 11. 2020
Thesis defence
- Supervisor: Ing. Robert Hlavatý, Ph.D.
Citation record
ISO 690-compliant citation record:
CHI, Yaqian. \textit{Designing optimal routes for self-driving traveller}. Online. Bachelor's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Economics and Management. 2020. Available from: https://theses.cz/id/5ehmpu/.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Provozně ekonomická fakultaCzech University of Life Sciences Prague
Faculty of Economics and ManagementBachelor programme / field:
Economics and Management / Economics and Management
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