Demand prediction of public bike sharing services using machine learning algorithms

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Title:	Demand prediction of public bike sharing services using machine learning algorithms
Author:	Torres Bonet, Jaume
Other authors:	Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental; Soriguera Martí, Francesc
Abstract:	Machine learning algorithms are used in the transportation field to successfully identify patterns and predict user?s behavior. This study aims to predict the demand of bike sharing services by means of this type of algorithms. The necessary input data and best parameters leading to optimal results will be identified, and a case study based in the bicing system in Barcelona, is going to be presented.
Subject(s):	-Àrees temàtiques de la UPC::Enginyeria civil -Machine learning -Neural networks (Computer science) -Algorithms -bike sharing -demand prediction -machine learning -neural network -random forest -gradient boosting -Aprenentatge automàtic -Xarxes neuronals (Informàtica) -Algorismes
Rights:	Attribution 3.0 Spain http://creativecommons.org/licenses/by/3.0/es/
Document type:	Research/Master Thesis
Published by:	Universitat Politècnica de Catalunya
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