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Applying machine learning to predict behavior of bus transport in Warsaw, Poland

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arxiv 2204.04515 v1 pith:ER6WUQXN submitted 2022-04-09 cs.LG cs.AIcs.IR

Applying machine learning to predict behavior of bus transport in Warsaw, Poland

classification cs.LG cs.AIcs.IR
keywords databehaviorpolandpredicttransportwarsawanalyzedanswer
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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