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Queuing theory, time series and an application to Tollgate’s Traffic flow prediction

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dc.contributor Vives i Santa Eulàlia, Josep, 1963-
dc.contributor André Romero, María Encarnación
dc.creator Romero Calvo, Miguel
dc.date 2018-05-31T09:06:00Z
dc.date 2018-05-31T09:06:00Z
dc.date 2018-01-19
dc.date.accessioned 2024-12-16T10:26:28Z
dc.date.available 2024-12-16T10:26:28Z
dc.identifier http://hdl.handle.net/2445/122668
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/21132
dc.description Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: Josep Vives i Santa Eulàlia i María Encarnación André Romero
dc.description [en] By introducing a methodology for forecasting the minimum amount of open gates that will be needed for a given period This paper aims to provide a useful resource to support operational management in highway companies. With this aim, it develops basic notions, results in Queuing Theory and presents and explain useful tools for a Classical Analysis of Time Series. In the practical part the model is developed, implemented in R, tested in the last trimester of 2017 and used to predict the hourly amount of minimum open gates needed for the first two months of 2018.
dc.format 48 p.
dc.format application/pdf
dc.language eng
dc.rights cc-by-nc-nd (c) Miguel Romero Calvo, 2018
dc.rights http://creativecommons.org/licenses/by-nc-nd/3.0/es
dc.rights info:eu-repo/semantics/openAccess
dc.source Treballs Finals de Grau (TFG) - Matemàtiques
dc.subject Anàlisi de sèries temporals
dc.subject Investigació operativa
dc.subject Teoria de cues
dc.subject Autopistes
dc.subject Circulació
dc.subject Treballs de fi de grau
dc.subject Time-series analysis
dc.subject Operations research
dc.subject Queuing theory
dc.subject Express highways
dc.subject Traffic flow
dc.subject Bachelor's theses
dc.title Queuing theory, time series and an application to Tollgate’s Traffic flow prediction
dc.type info:eu-repo/semantics/bachelorThesis


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