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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