Edition
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2nd Edition
Semester
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Winter 2021
Themes
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Open Data And Urban Infrastructures
Prediction of metro incidents
Summary
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.
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A collaboration between:
City of Montreal
Direction, technologies, architecture, innovation et sécurité
Municipal experts
Marie-Odette St-Hilaire
University
CIVI 691 – Big Data Analytics for Smart City Infrastructure (Building, Civil and Environmental Engineering), Concordia University
Professor
Mazdak Nik-Bakht
Student team
Farbod Lotfalian
Mohammad Vaseghi
Maryam Faham