Prediction of metro incidents

Résumé

We have developed a supervised learning model to predict the main cause of disruption in the Montreal metro network and the delay time after a breakout. Our predictive model supports public transport authorities and operators to prioritize what type of disruptions at what location to focus on to potentially achieve the most significant reduction in disruption exposure. ions.