Applying machine learning to predict behavior of bus transport in Warsaw, Poland
This work addresses bus delay prediction for public transport management in Warsaw, but it appears incremental as it builds on existing data collection methods.
The authors tackled the problem of predicting bus delays in Warsaw, Poland using precise geoposition data, and their initial results show that a model can be built for this purpose, though no concrete numbers are provided.
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.