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Predicting delays in Brussels’ public transport

Lesuisse, Catherine
(2020)

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Details

Supervisors
Siegfried Nijssen
Faculty
Ecole polytechnique de Louvain
Degree label
Master [120] en sciences informatiques
Abstract
Société des Transports Intercommunaux de Bruxelles - Maatschappij voor het Intercommunaal Vervoer (STIB-MIVB) is the local public transport operator in Brussels, Belgium and is responsible for the organisation of the Brussels' metro, trams, and buses. In 2018 there were 417.6 million journeys taken via public transport provided by STIB-MIVB. With this statistic increasing every year it becomes more important for both users and service providers that voyages are without delay and reliable. The goal of this thesis is analyzing the STIB-MIVB network to see if a machine learning model can be used to predict future transit vehicles as delayed or on-time. The machine learning model will then be applied in a mobile application for users to view transit vehicles and delay predictions in real time.