EX5 Help us improving the NS train schedule by working on train turnaround times

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Hoogeveen, Han
dc.contributor.author	Safi, Parisa
dc.date.accessioned	2023-09-18T23:00:56Z
dc.date.available	2023-09-18T23:00:56Z
dc.date.issued	2023
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/45183
dc.description.abstract	[""NS aims to help train travellers by planning a robust train schedule. They believe that they can reach this aim better if they gain more insight on the time it takes for a train to turn around. A turnaround is when a train leaves a station in the same direction as it arrived. The data consists of all NS trainactivities both the schedule and its execution. The NS proposed the following research question: How can we calculate the time for a specific turnaround so it is robust? This is done by leveraging several machine learning algorithms such as Multiple Linear Regression.""]
dc.description.sponsorship	Utrecht University
dc.language.iso	EN
dc.subject	EX5 Help us improving the NS train schedule by working on train turnaround times
dc.title	EX5 Help us improving the NS train schedule by working on train turnaround times
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	Turnaround time, Multiple linear regression
dc.subject.courseuu	Applied Data Science
dc.thesis.id	24496