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

Peijuan Xu; Francesco Corman; Qiyuan Peng

doi:10.1016/j.ifacol.2016.07.015

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

Peijuan Xu, Francesco Corman, Qiyuan Peng

Transport Engineering and Logistics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

47 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 language	English
Title of host publication	IFAC-PapersOnLine - 14th IFAC Symposium on Control in Transportation Systems (CTS 2016)
Editors	Tankut Acarman
Publisher	Elsevier
Pages	84-89
DOIs	https://doi.org/10.1016/j.ifacol.2016.07.015
Publication status	Published - 2016
Event	14th IFAC Symposium on Control in Transportation Systems - ITU Faculty of Architecture, Istanbul, Turkey Duration: 18 May 2016 → 20 May 2016 http://www.cts2016.org/en/

Publication series

Name	IFAC-PapersOnLine
Number	3
Volume	49
ISSN (Print)	2405-8963

Conference

Conference	14th IFAC Symposium on Control in Transportation Systems
Abbreviated title	CTS 2016
Country/Territory	Turkey
City	Istanbul
Period	18/05/16 → 20/05/16
Internet address	http://www.cts2016.org/en/

Keywords

Delay Analysis
Distribution Regression
High-Speed Railway
Railway Disruptions

Access to Document

10.1016/j.ifacol.2016.07.015

Cite this

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title = "Analyzing railway disruptions and their impact on delayed traffic in Chinese high-speed railway",

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.",

keywords = "Delay Analysis, Distribution Regression, High-Speed Railway, Railway Disruptions",

author = "Peijuan Xu and Francesco Corman and Qiyuan Peng",

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editor = "Tankut Acarman",

booktitle = "IFAC-PapersOnLine - 14th IFAC Symposium on Control in Transportation Systems (CTS 2016)",

note = "14th IFAC Symposium on Control in Transportation Systems, CTS 2016 ; Conference date: 18-05-2016 Through 20-05-2016",

url = "http://www.cts2016.org/en/",

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Xu, P, Corman, F & Peng, Q 2016, Analyzing railway disruptions and their impact on delayed traffic in Chinese high-speed railway. in T Acarman (ed.), IFAC-PapersOnLine - 14th IFAC Symposium on Control in Transportation Systems (CTS 2016). IFAC-PapersOnLine, no. 3, vol. 49, Elsevier, pp. 84-89, 14th IFAC Symposium on Control in Transportation Systems, Istanbul, Turkey, 18/05/16. https://doi.org/10.1016/j.ifacol.2016.07.015

Analyzing railway disruptions and their impact on delayed traffic in Chinese high-speed railway. / Xu, Peijuan; Corman, Francesco; Peng, Qiyuan.
IFAC-PapersOnLine - 14th IFAC Symposium on Control in Transportation Systems (CTS 2016). ed. / Tankut Acarman. Elsevier, 2016. p. 84-89 (IFAC-PapersOnLine; Vol. 49, No. 3).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Xu, Peijuan

AU - Corman, Francesco

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AB - 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.

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

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Keywords

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