Classification of Travel Modes from Cellular Network Data Using Machine Learning Algorithms (CROSBI ID 707803)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tišljarić, Leo ; Cvetek, Dominik ; Vareškić, Valentin ; Gregurić, Martin
engleski
Classification of Travel Modes from Cellular Network Data Using Machine Learning Algorithms
Data availability in recent years has grown exponentially, allowing researchers in the transport sector to harness valuable information regarding traffic flows. In that sense, cellular network data represents valuable traffic information when dealing with spatially large areas due to its property of collecting route data using distant mobile base stations. This property enables the automatic collection of origin-destination data, which is traditionally collected using field or online questionnaires. This paper aims to present the possibility of using origin-destination data extracted from cellular network dataset to classify travel modes. A case study was performed on the dataset collected in the City of Rijeka, Croatia. Dataset is evaluated on five machine learning algorithms, which resulted in Random forest as the highest performing algorithm with an accuracy score of 99.93%
Travel mode classification ; Machine learning ; Cellular network data ; Origin-destination matrices
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Podaci o prilogu
173-177.
2021.
objavljeno
10.1109/ELMAR52657.2021.9550817
Podaci o matičnoj publikaciji
Proceedings of ELMAR-2021
Muštra, Mario ; Vuković, Josip ; Zovko-Cihlar, Branka
Zadar: Sveučilište u Zagrebu
978-1-6654-4436-1
1334-2630
Podaci o skupu
63rd International Symposium ELMAR 2021
predavanje
12.09.2021-15.09.2021
Zadar, Hrvatska
Povezanost rada
Informacijske i komunikacijske znanosti, Interdisciplinarne društvene znanosti, Interdisciplinarne tehničke znanosti, Tehnologija prometa i transport