A New User-Oriented Index, Based on a Fuzzy Inference System, for Quality Evaluation of Rural Roads

This article uses a global index, called a Global Satisfaction Index (GSI), to evaluate the users' judgement about road quality. Users of road facilities generally express a judgment on road quality based on their psychophysical conditions, in relation to the environment they refer to. This judgment is often made considering aspects such as the presence of traffic lights, the frequency of interchanges, of lay-bys and gas stations, route conformation, environmental conditions, quality of road signs, etc. The authors of this article propose GSI, which uses vehicular traffic quality and quality of road pavement, to summarize these aspects, and to express the users’ global judgment about the ride comfort on rural roads. Since a subjective perception process is involved, the authors have used fuzzy theory to handle uncertainty embedded in the process. The attributes of the aspects considered have been expressed through fuzzy numbers, and the global judgment has been obtained through a fuzzy inference system. This allows the proposed index overcomes the limits of other existing indices, since it incorporates uncertainties and/or imprecision inherent in the drivers’ perception of the ride comfort. Moreover, it can be used for evaluation and comparison of different types of road sections. A numerical example is presented to assist in understanding the practical aspects of the proposed index GSI.


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  • Accession Number: 01491836
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 31 2013 10:46AM