Development of intelligent predictive models for crowding on trains using data-driven methodologies (COF-ICE-02)

Crowding is a major issue on some routes and trains. This project aimed to identify the variables that affect crowding levels and develop a predictive model that can be used to help passengers avoid crowded trains.