Distribution Fitting for Very Large Railway Delay Data Sets with Discrete Values
DOI:
https://doi.org/10.5278/ojs.djtr.v1i0.3562Keywords:
Big data, railway delays, delays distributionAbstract
Modern railway signal systems allow the collection of very large data sets (more than a thousand values). These data sets are often rounded by the signal technology, so that the values are effectively discrete. This paper reviews other literature on fitting distributions to large data sets, and then shares the experience of distribution fitting to a large data set from the Danish railways.
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Articles published in"The Danish Journal of Transportation Research - Dansk Tidskrift for Transportforskning" are licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported Licens.
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Authors maintain their copyright ownership and give the Journal right to the first publication, at the same time paper is covered by the Creative Commons Attribution-license: Attribution – Non-commercial - No derives material (by-nc-nd). Read more about the license at http://www.creativecommons.dk/om/.
