Design of pavement performance test section network

Havaintotieverkon suunnittelu

Knowledge about road network condition and pavement deterioration is needed on several levels of road keeping. Prediction models are used at network level in the process of optimising and allocating the annual funding, in pavement maintenance management and for justification in maintenance motivation communications. In addition, models are needed on project level for the selection and timing of appropriate maintenance measures. The basic objectives of the procurement strategy of the Finnish Road Administration are to improve the productivity both of their own and the branch of industries business operations. It will be achieved by developing procurement methods that include degrees of freedom to facilitate and encourage new innovative technical solutions. The development process does include higher levels of risks and therefore also better performance indicators and models are needed to control this new situation. These models can only be achieved with high quality data collected over a long period of time. In this project, a pavement performance test section network was designed for these purposes. The data collected from the test section network will help the Finnish Road Administration in their future road asset management work. Statistical experimental design was used in the selection of the test sections to ensure that the sections will include all types of roads and different characteristics of traffic and climatic conditions. A design matrix including 216 cells was created based on the set criterions. Data from the road and condition data banks was used in the selection process to include on average five sections to each cell in the matrix. After this primary selection all sections where checked in situ for their suitability, and an exact starting point for each 500- m section was pointed out. Altogether 728 sections around the country were selected to the test section network. To obtain high quality data suitable for performance modelling requires longevity and stability in the data collection process. The test section network should be considered as an investment for the future, which will improve in quality with time. There should be a commitment to data acquisition for e.g. 12 years corresponding to one maintenance cycle. This will ensure enough time for deterioration to take place and to receive information about maintenance effects. To ensure good results, resources should also be allocated for the management of the test section network and for planning of the annual measurement program. This report may be found at


  • Finnish

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  • Accession Number: 01043679
  • Record Type: Publication
  • Source Agency: TRL
  • ISBN: 978-951-803-772-2
  • Files: ITRD
  • Created Date: Mar 9 2007 8:07AM