Analyzing railway disruptions and their impact on delayed traffic in Chinese high-speed railway

Peijuan Xu, Francesco Corman, Qiyuan Peng

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

30 Citations (Scopus)

Abstract

Chinese high-speed railways faced large development in the recent years. Their performance is still confronted with disruptions, which impact the traffic and the passengers. With the aim to better understand the influences of the sources of disruptions, we study the statistical characteristics of the causes of disruptions and delayed traffic. We use maximum likelihood estimation to determine the probability density distribution of the different disruption source. A zero-truncated negative binomial distribution model is then developed to link the sources of disruptions and the amount of delayed traffic. This is important to determine the probability and the impact of disruptions sources. We can then suggest which disruption sources should be tackled in order to reduce impact and probability of disruptions.

Original languageEnglish
Title of host publicationIFAC-PapersOnLine - 14th IFAC Symposium on Control in Transportation Systems (CTS 2016)
EditorsTankut Acarman
PublisherElsevier
Pages84-89
DOIs
Publication statusPublished - 2016
Event14th IFAC Symposium on Control in Transportation Systems - ITU Faculty of Architecture, Istanbul, Turkey
Duration: 18 May 201620 May 2016
http://www.cts2016.org/en/

Publication series

NameIFAC-PapersOnLine
Number3
Volume49
ISSN (Print)2405-8963

Conference

Conference14th IFAC Symposium on Control in Transportation Systems
Abbreviated titleCTS 2016
CountryTurkey
CityIstanbul
Period18/05/1620/05/16
Internet address

Keywords

  • Delay Analysis
  • Distribution Regression
  • High-Speed Railway
  • Railway Disruptions

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