Édition
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2nd Edition
Session
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Winter 2021
Thématique
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Open Data And Urban Infrastructures
Predicting Bus Travel Time Delays and Earliness
Résumé
“I’m freezing, shouldn't the bus arrived earlier?”. You might have experienced such situation many times. This project aims to predict buses’ delay and earliness for public bus users to keep it reliable and attractive to entice its users.
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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
Kayhan Alamatsaz
Ardavan Dorri
Mohammadamin Beik Mohammadi