Édition

  • 2nd Edition

Session

  • Winter 2021

Thématique

  • Open Data And Urban Infrastructures

Identifying risky collision areas in Montreal and the contributing factors

Résumé

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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Une collaboration entre :

Ville de Montréal

Direction, technologies, architecture, innovation et sécurité

Experts municipaux

Marie-Odette St-Hilaire

Université

CIVI 691 – Big Data Analytics for Smart City Infrastructure (Building, Civil and Environmental Engineering), Concordia University

Professeur

Mazdak Nik-Bakht

Équipe étudiante

Elnaz Jafarian
Zeinab Fathibozchalouei
Pouya Nouraeidanesh
Arman Nazemirad