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Complete
Start Date
2015
End Date
2016
Objectives
Capacity
Type
Research Project
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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.
Project Reference: COF-ICE-02
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