Pierre Pascal Bian Theke

Master's thesis

Estimating Taxi Fares Using Machine Learning

Estimating Taxi Fares Using Machine Learning
Abstract:
This master's thesis focuses on the use of Artificial Intelligence (AI) algorithms for estimating taxi fares. By estimating fares in different zones of a city using these algorithms, the synchronization of the taxi fleet can be improved, which in turn would reduce waiting times. The thesis specifically analyzes the application of the Random Forest machine learning approach for this purpose. A literature …more
Abstract:
This master's thesis focuses on the use of Artificial Intelligence (AI) algorithms for estimating taxi fares. By estimating fares in different zones of a city using these algorithms, the synchronization of the taxi fleet can be improved, which in turn would reduce waiting times. The thesis specifically analyzes the application of the Random Forest machine learning approach for this purpose. A literature …more
 
 
Language used: English
Date on which the thesis was submitted / produced: 13. 5. 2024

Thesis defence

  • Supervisor: prof. Ing. Roman Šenkeřík, Ph.D.

Citation record

The right form of listing the thesis as a source quoted

Bian Theke, Pierre Pascal. Estimating Taxi Fares Using Machine Learning . Zlín, 2024. diplomová práce (Ing.). Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky

Full text of thesis

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