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dc.contributor.author
Corman, Francesco
dc.contributor.author
Yan, Tzu-Hao
dc.date.accessioned
2020-08-31T13:04:04Z
dc.date.available
2020-06-30T09:13:22Z
dc.date.available
2020-07-10T06:08:17Z
dc.date.available
2020-08-31T13:04:04Z
dc.date.issued
2020-08-01
dc.identifier.issn
0361-1981
dc.identifier.issn
2169-4052
dc.identifier.other
10.1177/0361198120923661
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/423760
dc.description.abstract
A systematic maintenance process is essential to keeping railway systems safe and reliable. However, performing such maintenance is costly and often results in system disruption. There is a tradeoff between system safety and budgetary constraints; understanding the condition of the track infrastructure is essential to find the balance between needs and costs for decisions about when to perform maintenance. In this study, the track quality index (TQI), which is commonly used to evaluate the status of tracks and to decide maintenance interventions, is reviewed, including 12 TQIs for superstructure and six for substructure. A literature review indicates that TQIs for sleepers and subgrade have not yet been developed. The differences between TQIs are compared using a set of hypothetical raw data. Their capabilities for identifying track irregularities are also investigated based on the EN 13848 regulations. To classify TQI characteristics in a systematic way, this study proposes four concepts: accuracy, sensitivity, data required, and specificity. Accuracy indicates a TQI’s capability of detecting defects; sensitivity indicates how TQIs change according to variations in the defects; specificity relates to the amount of parameters considered, and the ability to pinpoint root causes or global consequences of defects. The results suggest a tradeoff between the four concepts, where high sensitivity can increase the ability to detect the smallest defects but may be affected by bias; more parameters considered may indicate low accuracy when detecting a single type of defect. Therefore, this study suggests railway regulators use multiple TQIs with complementary characteristics for classifying track status.
en_US
dc.language.iso
en
en_US
dc.publisher
SAGE
dc.title
Assessing and extending track quality index for novel measurement techniques in railway systems
en_US
dc.type
Journal Article
dc.date.published
2020-06-25
ethz.journal.title
Transportation Research Record
ethz.journal.volume
2674
en_US
ethz.journal.issue
8
en_US
ethz.journal.abbreviated
Transp. Res. Rec.
ethz.pages.start
24
en_US
ethz.pages.end
36
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Thousand Oaks, CA
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::09611 - Corman, Francesco / Corman, Francesco
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
*
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::09611 - Corman, Francesco / Corman, Francesco
en_US
ethz.relation.isNewVersionOf
handle/20.500.11850/382965
ethz.date.deposited
2020-06-30T09:13:32Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-08-31T13:04:42Z
ethz.rosetta.lastUpdated
2024-02-02T11:57:11Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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