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Demand prediction of public bike sharing services using machine learning algorithms

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hdl:2117/171994

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Torres Bonet, Jaume
Author's e-mailjaume.torres.27arrobagmail.com
Tutor / directorSoriguera Martí, FrancescMés informacióMés informacióMés informació
Document typeMaster thesis
Date2019-05-14
Rights accessOpen Access
Attribution 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 3.0 Spain
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.
SubjectsMachine learning, Neural networks (Computer science), Algorithms, Aprenentatge automàtic, Xarxes neuronals (Informàtica), Algorismes
URIhttp://hdl.handle.net/2117/171994
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