Implementing the results from automated image capturing and processing

Automaattisen paallystevauriomittauksen (APVM) tulosten kayttoonotto

Road surface distress is the main condition indicator on low volume roads. Since 2006 it is being collected using automated image capturing and processing which replaced visual inventory. At the end of 2008 most of the low volume road network in Finland (40 000 km) has been measured at least once. 18 different condition indicators are calculated from the results of the image processing and these data are taken into the road condition data bank of the Finnish Road Administration. The most important decision-making situations where information on surface distress is needed are management by objectives, selection of maintenance sections, assessment of funding needs and fund allocation, management policies and communication. As a basic indicator of cracking the Percentage of Cracked Surface, CS-% (resembles in definition with Unified Crack Index and UK Scanner cracking index) is used, which depicts the distress level of the road surface in general. It is recommended for use in management by objectives, selection of maintenance sections, as well as in assessment of funding needs and fund allocation. Threshold values of CS-% for standardized classification for the condition of the road assets are presented. Percentage of Cracked Surface has been collected since 2006. However, the development of both image capturing and processing that has taken place since then, prevents the determination of deterioration rate and the forming of the time series of CS-%. Percentage of Surface Ravelling and crack type indices have been collected only since 2008, which limits their usability. However, it is expected that their use is enhanced as these indices are being improved and measurements continued. Threshold values of Crack Length (length of cracked road) are presented for use in selection of maintenance sections. It is recommended that the information from automated image capturing and processing are implemented step-by-step at the different levels of maintenance decision-making: First CS-% and Crack Length in management by objectives and selection of maintenance sections, and crack type indices at the next stage. If this information is neglected, there is a risk that funding needs especially on low volume roads are underestimated and too few maintenance actions are carried out. Furthermore, the maintenance funding is misallocated partly on wrong sections. Regardless of the uncertainty involved in this new kind of measurement, the risk of not using distress data is considered greater than that of using it. This report may be found at http://alk.tiehallinto.fi/julkaisut/pdf2/3201118-v-apvm_tulosten_kayttoonotto.pdf

• Record URL:
  http://alk.tiehallinto.fi/julkaisut/pdf2/3201118-v-apvm_tulosten_kayttoonotto.pdf
• 
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9789522211583
• Authors:
  • RUOTOISTENMAKI, A
  • VIRTALA, P
  • KUSKELIN, A
• Publication Date: 2009

Language

• Finnish

Media Info

• Pagination: 62p+app
• Serial:
  • TIEHALLINNON SELVITYKSIA, FINNRA REPORTS
  • Volume: 3201118
  • Issue Number: 4/2009
  • Publisher: Finnish Road Administration
  • ISSN: 1457-9871

Subject/Index Terms

• TRT Terms: Automation; Loss and damage; Low volume roads; Measurement; Pavements
• Geographic Terms: Finland
• Subject Areas: Highways; Pavements; I23: Properties of Road Surfaces; I61: Equipment and Maintenance Methods;

Filing Info

• Accession Number: 01137303
• Record Type: Publication
• Source Agency: TRL
• ISBN: 978-952-221-158-3
• Files: ITRD
• Created Date: Jul 30 2009 11:40AM