Open AccessShort-Term Multi-Step Ahead Forecasting of Railway Passenger Flows During Special Events With Machine Learning Methods
Author(s) -
Florian Toqué,
Étienne Côme,
Latifa Oukhellou,
Martin Trépanier
Publication year - 2018
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - computer science , term (time) , public transport , service (business) , passenger transport , demand forecasting , event (particle physics) , recurrent neural network , task (project management) , operations research , artificial neural network , artificial intelligence , transport engineering , engineering , physics , quantum mechanics , economy , systems engineering , economics
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