Edition
  • 2nd Edition

Semester
  • Winter 2021

Themes
  • 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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Consult Project Document

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