Analyzing railway disruptions and their impact on delayed traffic in chinese high-speed railway
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Author / Producer
Date
2016-06
Publication Type
Conference Paper
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no
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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.
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Publication status
published
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Editor
Book title
14th IFAC Symposium on Control in Transportation Systems, CTS 2016. Proceedings
Journal / series
Volume
49 (3)
Pages / Article No.
84 - 89
Publisher
Elsevier
Event
14th IFAC Symposium on Control in Transportation Systems (CTS 2016)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
High-speed railway; Delay analyisis; Railway disruptions; Distribution regression
Organisational unit
09611 - Corman, Francesco / Corman, Francesco
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG