The punctuality of rail traffic in Sweden has not increased in a long period of time and this causes problems for people, companies and the community as it affects everyone in different ways. How the Swedish Transport Administration and SJ work on improving the train traffic and punctuality will be addressed in this study. This study will have focus on how data-driven methods can increase the punctuality of train traffic. The study will show which factors are critical for data-driven methods using literature as well as models with descriptions, as a result, the Swedish Transport Administration and SJ will be in focus for how the development of punctuality of train traffic goes. This is a case study with a literature search as well as qualitative interviews as data collection, the literature search will primarily show which factors are necessary for datadriven methods and it will also help form the interview questions, later on the interviews will show how the Swedish Transport Administration and SJ work today so that comparisons can be drawn and a result can be produced.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:his-17060 |
| Date | January 2019 |
| Creators | Hossenpour, Deniz |
| Publisher | Högskolan i Skövde, Institutionen för informationsteknologi |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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