ABSTRACT
All pavements infer rolling resistance. Heavy trucks are influenced by the deformation, the internal damping, and non-elastic behavior of the pavement materials involved. Earlier studies have been addressing the pavement type, the material type and various stages of compaction. In par with manufacturing and house construction, sustainable pavements are now becoming a requirement from authorities. There are advanced computer programs to assess the greenhouse gasemissions from construction, but less emphasis have been set on the user stage. Hence, it is important to access calculable parameters of energy losses that will occur during use. The present paper addresses some of the input parameters needed to assess rolling resistance losses for pavements in general and new flexible pavements in particular, by using neural network techniques. The results can be used for the decision-making in either bidding processes or strategic planning.
