Titel:
Distribution Fitting for Very Large Railway Delay Data Sets with Discrete Values

Abstract:
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.

Forfatter:
Steven Harrod, Technical University of Denmark Georgios Pournaras, Ansaldo STS - a Hitachi company group Bo Friis Nielsen, Technical University of Denmark

Danske Keywords:
Store Data Jernbane Forsinkelser statistiske distributioner for forsinkelser Blandet statistiske distributioner

Engelske Keywords:
Big Data Railway Delays Delay Distribution Mixed Distributions

År:
2018

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