@article{10902/15657,
year = {2018},
month = {11},
url = {http://hdl.handle.net/10902/15657},
abstract = {The suitable choice of the materials forming the wearing course of highly trafficked roads is a delicate task because of their direct interaction with vehicles. Furthermore, modern roads must be planned according to sustainable development goals, which is complex because some of these might be in conflict. Under this premise, this paper develops a multi-criteria decision support model based on the analytic hierarchy process and the technique for order of preference by similarity to ideal solution to facilitate the selection of wearing courses in European countries. Variables were modelled using either fuzzy logic or Monte Carlo methods, depending on their nature. The views of a panel of experts on the problem were collected and processed using the generalized reduced gradient algorithm and a distance-based aggregation approach. The results showed a clear preponderance by stone mastic asphalt over the remaining alternatives in different scenarios evaluated through sensitivity analysis. The research leading to these results was framed in the European FP7 Project DURABROADS (No. 605404).},
organization = {The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under Grant Agreement No. 605404.},
publisher = {Springer},
publisher = {Soft Computing
 - 
November 2018, Volume 22, Issue 22, pp 7407-7421},
title = {Decision support model for the selection of asphalt wearing courses in highly trafficked roads},
author = {Jato Espino, Daniel and Indacoechea Vega, Irune and Gáspár, László and Castro Fresno, Daniel},
}