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Passenger utilization on railway network using timeseries forecasting

Diaz Salgado, Alejandro (2021) Passenger utilization on railway network using timeseries forecasting. Undergraduate thesis, Dublin, National College of Ireland.

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Abstract

Objectives
The purpose of this research is to provide a series of Forecasts to the Argentinian Railway Network to mitigate any possible events around passenger utilization spikes over multiple routes across Argentina. The study will be focused on the stations having most present data. From all the relevant data found, only three stations met the minimum volumes to provide significant forecasts. On this study we will compare three different forecasting models to see which one provides the most accurate and relevant results.

The problem that the project is going to address is to allow the Argentinian Railway Network to tackle any impact on their services during peak times by forecasting usage on these dates and increase capacity on their trains effectively. That will avoid the company to lose ticket sales as for a possible out of seats scenario, and to choose the best way to increase the number of seats depending on the results of the forecast; would adding wagons to the train will be more effective than sending another train?

Item Type: Thesis (Undergraduate)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

H Social Sciences > HE Transportation and Communications > Urban Transportation
Divisions: School of Computing > Bachelor of Science (Honours) in Computing
Depositing User: Clara Chan
Date Deposited: 21 Sep 2021 10:37
Last Modified: 21 Sep 2021 10:37
URI: http://norma.ncirl.ie/id/eprint/5065

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