Édition
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2nd Edition
Session
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Winter 2021
Thématique
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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