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

# metadata.dc.description[].value
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

# metadata.dc.description.abstract[].value
[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.

# metadata.dc.rights[].value
cc-by-nc-nd (c) Miguel Romero Calvo, 2018

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Matemàtiques

# metadata.dc.title[].value
Queuing theory, time series and an application to Tollgate’s Traffic flow prediction