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Pregled bibliografske jedinice broj: 1148053

Classification of Travel Modes from Cellular Network Data Using Machine Learning Algorithms


Tišljarić, Leo; Cvetek, Dominik; Vareškić, Valentin; Gregurić, Martin
Classification of Travel Modes from Cellular Network Data Using Machine Learning Algorithms // Proceedings of ELMAR-2021 / Muštra, Mario ; Vuković, Josip ; Zovko-Cihlar, Branka (ur.).
Zadar: Sveučilište u Zagrebu, 2021. str. 173-177 doi:10.1109/ELMAR52657.2021.9550817 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1148053 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Classification of Travel Modes from Cellular Network Data Using Machine Learning Algorithms

Autori
Tišljarić, Leo ; Cvetek, Dominik ; Vareškić, Valentin ; Gregurić, Martin

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of ELMAR-2021 / Muštra, Mario ; Vuković, Josip ; Zovko-Cihlar, Branka - Zadar : Sveučilište u Zagrebu, 2021, 173-177

ISBN
978-1-6654-4436-1

Skup
63rd International Symposium ELMAR-2021

Mjesto i datum
Zadar, Hrvatska, 13.09.2021. - 15.09.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Travel mode classification ; Machine learning ; Cellular network data ; Origin-destination matrices

Sažetak
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%

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti, Interdisciplinarne društvene znanosti



POVEZANOST RADA


Projekti:
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)

Ustanove:
Fakultet prometnih znanosti, Zagreb

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Tišljarić, Leo; Cvetek, Dominik; Vareškić, Valentin; Gregurić, Martin
Classification of Travel Modes from Cellular Network Data Using Machine Learning Algorithms // Proceedings of ELMAR-2021 / Muštra, Mario ; Vuković, Josip ; Zovko-Cihlar, Branka (ur.).
Zadar: Sveučilište u Zagrebu, 2021. str. 173-177 doi:10.1109/ELMAR52657.2021.9550817 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Tišljarić, L., Cvetek, D., Vareškić, V. & Gregurić, M. (2021) Classification of Travel Modes from Cellular Network Data Using Machine Learning Algorithms. U: Muštra, M., Vuković, J. & Zovko-Cihlar, B. (ur.)Proceedings of ELMAR-2021 doi:10.1109/ELMAR52657.2021.9550817.
@article{article, author = {Ti\v{s}ljari\'{c}, Leo and Cvetek, Dominik and Vare\v{s}ki\'{c}, Valentin and Greguri\'{c}, Martin}, year = {2021}, pages = {173-177}, DOI = {10.1109/ELMAR52657.2021.9550817}, keywords = {Travel mode classification, Machine learning, Cellular network data, Origin-destination matrices}, doi = {10.1109/ELMAR52657.2021.9550817}, isbn = {978-1-6654-4436-1}, title = {Classification of Travel Modes from Cellular Network Data Using Machine Learning Algorithms}, keyword = {Travel mode classification, Machine learning, Cellular network data, Origin-destination matrices}, publisher = {Sveu\v{c}ili\v{s}te u Zagrebu}, publisherplace = {Zadar, Hrvatska} }
@article{article, author = {Ti\v{s}ljari\'{c}, Leo and Cvetek, Dominik and Vare\v{s}ki\'{c}, Valentin and Greguri\'{c}, Martin}, year = {2021}, pages = {173-177}, DOI = {10.1109/ELMAR52657.2021.9550817}, keywords = {Travel mode classification, Machine learning, Cellular network data, Origin-destination matrices}, doi = {10.1109/ELMAR52657.2021.9550817}, isbn = {978-1-6654-4436-1}, title = {Classification of Travel Modes from Cellular Network Data Using Machine Learning Algorithms}, keyword = {Travel mode classification, Machine learning, Cellular network data, Origin-destination matrices}, publisher = {Sveu\v{c}ili\v{s}te u Zagrebu}, publisherplace = {Zadar, Hrvatska} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus


Citati:





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