Manual for measurements of pavement condition

Kasikirja tien pinnan kunnon mittaamisesta

Finnish Road Administration (Finnra) conducts network wide road condition measurements regularly. The most used condition variables are rut depth and roughness in terms of IRI variable. In 2006 Finnra began to collect crack information with the help of automated crack measuring system. The old methodology was based on visual inventory of pavement cracks. This manual presents the basic topics to understand the road condition praxis, measuring vehicles, condition variables and the important issues to know when using the condition data. The road condition measurements performed over the whole network means that the information of the certain section will be collected on normal traffic speed with different vehicles and operators. This sets very high quality demands for the measuring process. It is not enough that the result from one section can be repeated once or twice, but the reproducibility of one result must exist 100 days per year with the speed of 80 km/h from year to year. This manual presents the measurement vehicles, variables used to describe the road condition (history, theory, values and usage) and the issues related to the quality of the condition data. The measurement system is built to collect data from different physical phenomena with several instruments located on a vehicle. These phenomena can be categorised in the following way (the related condition variable in parenthesis): 1) Longitudinal profile (roughness, texture, hump) 2) Transversal profile (rut, height of ridge, water depth) 3) Pavement cracks (percentage of cracked surface) 4) Geometry and location (crossfall, curvature, coordinates) The road condition variables are calculated by using this data from the measurements. The variables are based usually on international standards and the co-operation between different actors is very important for the development. The measurements are used to provide information of the current condition of roads and to present the condition history e.g. condition change in different circumstances. The good quality of the data is an essential issue when using the data in the planning process. The road condition data is the basic input in the pavement management process to predict the future need of paving actions. This report may be found at


  • Finnish

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  • Accession Number: 01094818
  • Record Type: Publication
  • Source Agency: TRL
  • ISBN: 978-951-803-863-7
  • Files: ITRD
  • Created Date: Apr 25 2008 7:59AM