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Reliability of manual assessments in determining the types of vegetation on railway tracks
Dalarna University, School of Technology and Business Studies, Computer Engineering.
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-4812-4988
Edinburgh Napier University.
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2015 (English)In: Web Information Systems Engineering – WISE 2015: 16th International Conference, Miami, FL, USA, November 1-3, 2015, Proceedings, Part II / [ed] Wang, J., Cellary, W., Wang, D., Wang, H., Chen, S.-C., Li, T., Zhang, Y., Springer, 2015, Vol. 9149, 391-399 p.Conference paper (Refereed)
Abstract [en]

Current day vegetation assessments within railway maintenance are (to a large extent) carried out manually. This study has investigated the reliability of such manual assessments by taking three non-domain experts into account. Thirty-five track images under different conditions were acquired for the purpose. For each image, the raters’ were asked to estimate the cover of woody plants, herbs and grass separately (in %) using methods such as aerial canopy cover, aerial foliar cover and sub-plot frequency. Visual estimates of raters’ were recorded and analysis-of-variance tests on the mean cover estimates were investigated to see whether if there were disagreements between the raters’.  In tra-correl ation coefficient was used to study the differences between the estimates. Results achieved in this work revealed that seven out of the nine analysis-of-variance tests conducted in this study have demonstrated significant difference in the mean estimates of cover (p < 0.05).

Place, publisher, year, edition, pages
Springer, 2015. Vol. 9149, 391-399 p.
Series
Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI, ISSN 0302-9743 ; 9419
Keyword [en]
Measurements, Reliability, Monitoring, Railway, Vegetation, Maintenance, Human raters, Visual estimates
National Category
Computer and Information Science Probability Theory and Statistics
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-20540DOI: 10.1007/978-3-319-26187-4_37ISBN: 978-3-319-26187-4 ISBN: 978-3-319-26186-7 OAI: oai:DiVA.org:du-20540DiVA: diva2:889581
Conference
Web Information Systems Engineering – WISE 2015, 16th International Conference, Miami, FL, USA, November 1-3, 2015
Available from: 2015-12-27 Created: 2015-12-27 Last updated: 2017-03-31Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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