Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/122668
Title: Queuing theory, time series and an application to Tollgate’s Traffic flow prediction
Author: Romero Calvo, Miguel
Director/Tutor: Vives i Santa Eulàlia, Josep, 1963-
André Romero, María Encarnación
Keywords: Anàlisi de sèries temporals
Treballs de fi de grau
Investigació operativa
Teoria de cues
Autopistes
Circulació
Time-series analysis
Bachelor's thesis
Operations research
Queuing theory
Express highways
Traffic flow
Issue Date: 19-Jan-2018
Abstract: [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.
Note: 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
URI: http://hdl.handle.net/2445/122668
Appears in Collections:Treballs Finals de Grau (TFG) - Matemàtiques
Programari - Treballs de l'alumnat

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