Abstract
Nowadays, precise data of movements of public transport can be collected. Specifically, for each bus, geoposition can be regularly obtained and stored. In this context, an attempt to build a model to represent behavior of busses, and predict their delays, is discussed.
Cite
CITATION STYLE
APA
Pałys, Ł., Ganzha, M., & Paprzycki, M. (2022). Machine Learning for Bus Travel Prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13351 LNCS, pp. 703–710). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-08754-7_72
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