Identificación de carreteras convencionales mediante técnicas de soft computing

This paper presents an identification system of conventional roads based on Soft Computing techniques, mainly fuzzy logic and neuro-fuzzy systems. The variability and uncertainty of the input information makes the use of fuzzy logic a very appropriate technique to address this problem. It is a fact that conventional roads that belong to different classes presents similar features. Based on real data from several conventional roads located in the Community of Madrid, registered through an instrumented vehicle, several identification systems based on fuzzy rules, neuro-fuzzy techniques inference and fuzzy clustering are proposed to classify each road under study. The results obtained can be useful to improve comfort and driving safety.