Assessing and extending track quality index for novel measurement techniques in railway


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Date

2020-01

Publication Type

Other Conference Item

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yes

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Abstract

A systematic maintenance process is essential to keeping the railway system 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 in 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 the tracks and to deciding maintenance interventions, is reviewed, including twelve TQIs for superstructure and six TQIs for substructure. The results from the literature review indicate that TQIs for sleeper and subgrade have not been developed. The differences among TQIs are compared and discussed using a set of hypothetical raw data. Their capabilities for identifying track irregularities are also investigated based on the EN 13848 regulations. Four concepts, including accuracy, sensitivity, data required and parameters considered are proposed to classify TQIs’ characteristics. The results suggest that there exists tradeoff between the four concepts, where high sensitivity can increase the ability to detect the smallest defects but also easy getting affect by bias; more parameters considered may indicate low accuracy when detecting single type of defect. Therefore, this study suggests railway regulators to use multiple TQIs with complementary characteristics for classifying the track status.

Publication status

published

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Book title

2020 TRB Annual Meeting Online

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Publisher

Transportation Research Board

Event

99th Annual Meeting of the Transportation Research Board (TRB 2020)

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Organisational unit

09611 - Corman, Francesco / Corman, Francesco check_circle
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG

Notes

Conference lecture on January 13, 2020. Presentation number 20-01958.

Funding

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