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

Authors

  • Steven Harrod Department of Management Engineering, Technical University of Denmark
  • Georgios Pournaras Institut for Matematik og Computer Science, Technical University of Denmark
  • Bo Friis Nielsen nsaldo STS - a Hitachi company group

DOI:

https://doi.org/10.5278/ojs.td.v1i1.6068

Keywords:

big data, railway delays, delay, distribution, mixed distributions

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.

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Published

31-12-2018

How to Cite

Harrod, S., Pournaras, G., & Nielsen, B. F. (2018). Distribution Fitting for Very Large Railway Delay Data Sets with Discrete Values. Proceedings from the Annual Transport Conference at Aalborg University, 25(1). https://doi.org/10.5278/ojs.td.v1i1.6068

Issue

Vol. 25 No. 1 (2018): Proceedings from the Annual Transport Conference at Aalborg University

Section

Trafikmodeller og deres anvendelse