Identificación de carreteras convencionales mediante técnicas de soft computing
- Felipe Barreno Herrera 1
- Matilde Santos 1
- Manuel Romana 2
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1
Universidad Complutense de Madrid
info
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2
Universidad Politécnica de Madrid
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- Jose Luis Calvo Rolle (coord.)
- Jose Luis Casteleiro Roca (coord.)
- María Isabel Fernández Ibáñez (coord.)
- Óscar Fontenla Romero (coord.)
- Esteban Jove Pérez (coord.)
- Alberto José Leira Rejas (coord.)
- José Antonio López Vázquez (coord.)
- Vanesa Loureiro Vázquez (coord.)
- María Carmen Meizoso López (coord.)
- Francisco Javier Pérez Castelo (coord.)
- Andrés José Piñón Pazos (coord.)
- Héctor Quintián Pardo (coord.)
- Juan Manuel Rivas Rodríguez (coord.)
- Benigno Rodríguez Gómez (coord.)
- Rafael Alejandro Vega Vega (coord.)
Argitaletxea: Servizo de Publicacións ; Universidade da Coruña
ISBN: 978-84-9749-716-9
Argitalpen urtea: 2019
Orrialdeak: 162-169
Biltzarra: Jornadas de Automática (40. 2019. Ferrol)
Mota: Biltzar ekarpena
Laburpena
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.