Edition
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2nd Edition
Semester
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Winter 2021
Themes
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Open Data And Urban Infrastructures
Identifying risky collision areas in Montreal and the contributing factors
Summary
It is essential to investigate on the contributing factors which leads to social suffering. The main purpose of this project is to detect risky areas and its contributing factors in Montreal city. Investigating on risky areas not only saves lives, but it is also beneficial to the society, leaders, and insurance companies.
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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
Elnaz Jafarian
Zeinab Fathibozchalouei
Pouya Nouraeidanesh
Arman Nazemirad