Édition
  • 2nd Edition

Session
  • Winter 2021

Thématique
  • Open Data And Urban Infrastructures

Maryland Pavement Condition Prediction

Résumé

Government agencies are spending millions of $$$ on pavement condition inspections with field equipment. We aim to help reduce the cost and effort of the field inspection by developing Machine Learning Model for the Pavement condition which will predict the condition of the pavement based on the specific attributes such as Traffic, Age without going in the field using historical data.


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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

Kamran Shah
Zakariya Gadi
Mohammad Razavi
Emad E Baiu