Fuzzy Harmonic Systems for Traffic Risk

This paper aims to present a model for traffic risk prediction. Its contribution is the adaptation of Fuzzy Logic applied to Harmonic Systems in order to make it more flexible and powerful in certain contexts. The possibility of having a good traffic risk prediction opens a practical possibility to...

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Detalles Bibliográficos
Autores principales:	Bel, Walter, Luise, Daniela López de
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2017
Materias:	Ciencias Informáticas fuzzy harmonic systems harmonic systems expert systems traffic risk prediction
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/63486
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-63486
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas fuzzy harmonic systems harmonic systems expert systems traffic risk prediction
spellingShingle	Ciencias Informáticas fuzzy harmonic systems harmonic systems expert systems traffic risk prediction Bel, Walter Luise, Daniela López de Fuzzy Harmonic Systems for Traffic Risk
topic_facet	Ciencias Informáticas fuzzy harmonic systems harmonic systems expert systems traffic risk prediction
description	This paper aims to present a model for traffic risk prediction. Its contribution is the adaptation of Fuzzy Logic applied to Harmonic Systems in order to make it more flexible and powerful in certain contexts. The possibility of having a good traffic risk prediction opens a practical possibility to successfully improve the security not only for drivers, but also for pedestrians and cyclists. The proposed model is able to process in real-time with simple data provided by the environment and the individual whose risk is being processed. The scope of this paper covers the technical description of the model, statistical analysis and comparison with alternates using Traditional Ruled-Expert Systems (RES), Harmonic Systems (HS) and Fuzzy Harmonic Systems (FHS). Also a short proposal for the prototype is described. Results indicate a remarkable improvement for the FHS predictor compared to RES and HS.
format	Objeto de conferencia Objeto de conferencia
author	Bel, Walter Luise, Daniela López de
author_facet	Bel, Walter Luise, Daniela López de
author_sort	Bel, Walter
title	Fuzzy Harmonic Systems for Traffic Risk
title_short	Fuzzy Harmonic Systems for Traffic Risk
title_full	Fuzzy Harmonic Systems for Traffic Risk
title_fullStr	Fuzzy Harmonic Systems for Traffic Risk
title_full_unstemmed	Fuzzy Harmonic Systems for Traffic Risk
title_sort	fuzzy harmonic systems for traffic risk
publishDate	2017
url	http://sedici.unlp.edu.ar/handle/10915/63486
work_keys_str_mv	AT belwalter fuzzyharmonicsystemsfortrafficrisk AT luisedanielalopezde fuzzyharmonicsystemsfortrafficrisk
bdutipo_str	Repositorios
_version_	1764820480840171521

Fuzzy Harmonic Systems for Traffic Risk

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