Original title: Travel Time Prediction
Authors: Mudroch, Andrej
Document type: Papers
Language: slo
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This paper discusses the methods of travel time prediction based on the usage of machine learning and historical data. The developed prediction models are described as well as the data sources which were used as the input of the prediction models. Finally, the comparison of the models‘ performance is shown, providing proof the developed models have ability to outperform the widely used model based on instantaneous travel time that is not using statistical learning.
Keywords: prediction; regression; travel time
Host item entry: Proceedings of the 23st Conference STUDENT EEICT 2017, ISBN 978-80-214-5496-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/187111

Permalink: http://www.nusl.cz/ntk/nusl-414771


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers