Édition
  • 2nd Edition

Session
  • Winter 2021

Thématique
  • 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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Consulter la fiche du projet

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