Nowadays, it is possible to collect precise data describing movements of public transport. Specifically, for each bus (or tram) geoposition data can be regularly collected. This includes data for all buses in Warsaw, Poland. Moreover, this data can be downloaded and analyzed. In this context, one of the simplest questions is: can a model be build to represent behavior of busses, and predict their delays. This work provides initial results of our attempt to answer this question.
@article{arxiv.2204.04515,
title = {Applying machine learning to predict behavior of bus transport in Warsaw, Poland},
author = {Łukasz Pałys and Maria Ganzha and Marcin Paprzycki},
journal= {arXiv preprint arXiv:2204.04515},
year = {2022}
}
Comments
18 pages, full version of paper for ICCS conference