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1.
  • Ekblad, Jonas, et al. (författare)
  • Impact on rutting from introduction of increased axle loads in Finland
  • 2020
  • Ingår i: The international journal of pavement engineering. - : Taylor and Francis Ltd.. - 1029-8436 .- 1477-268X.
  • Tidskriftsartikel (refereegranskat)abstract
    • In 2013, Finland introduced legislation increasing gross vehicle weights (GVW) on a number of trucks. Since the actual impact on road damage is nearly impossible to quantify in advance, the present analysis of road surface measurements is intended to provide knowledge regarding the impact on road damage. Rutting is influenced by many conflated phenomena. To indicate and capture the effect on road damage due to the new maximum GVW for certain truck- and trailer combinations, the analysis follows two different but mutually supporting lines of reasoning, empirical and theoretical, respectively. Analysis of measured rut depth is supported by theoretical calculations. Theoretical findings clearly indicate that the relative increase in road damage induced by higher GVW is larger than the increase in relative payload capacity. There was a rapid fleet shift towards heavier trucks after 2013, and statistical (empirical) analysis of road surface measurements shows an increase in rutting after this introduction.
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2.
  • Laakso, Kari, et al. (författare)
  • Calibrating the run-off the road accident models by full-scale impact tests
  • 2001
  • Ingår i: Proceedings of the conference Traffic Safety on Three Continents. - Linköping : Statens väg- och transportforskningsinstitut. ; , s. 690-697
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • About one third of fatal traffic accidents in Finland are run-off the road accidents. The countermeasures undertaken to effect positive change in these cases are primarily those for which a cost-benefit ratio is expected to be most effective. The accuracy of cost-benefit analyses is highly dependent on the quality of the raw data. This paper discusses the calibration of traffic accident models that could be useful in run-off the road accident analysis and countermeasures.
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