The aim of this work is to propose a semantic approach to driving behavior analysis. The analyzed vehicle motion parameters are accelerations and positions. Both are sampled using an embedded low-cost lightweight architecture. The authors start from a linguistic description of the problem ontology demonstrating that the selected parameters are sufficient to describe various aspects of the driving behavior. The system is modeled in terms of fuzzy rules and a Fuzzy Inference System is used to classify the driving behavior. The experiments carried out show that the proposed system is able to discriminate among various driving behavior.

A semantic approach to driving behavior analysis / V. Di Lecce, A. Amato, M. Calabrese. - In: JOURNAL OF CIRCUITS, SYSTEMS, AND COMPUTERS. - ISSN 0218-1266. - 18:8(2009), pp. 1581-1596.

A semantic approach to driving behavior analysis

A. Amato
Secondo
;
M. Calabrese
Ultimo
2009

Abstract

The aim of this work is to propose a semantic approach to driving behavior analysis. The analyzed vehicle motion parameters are accelerations and positions. Both are sampled using an embedded low-cost lightweight architecture. The authors start from a linguistic description of the problem ontology demonstrating that the selected parameters are sufficient to describe various aspects of the driving behavior. The system is modeled in terms of fuzzy rules and a Fuzzy Inference System is used to classify the driving behavior. The experiments carried out show that the proposed system is able to discriminate among various driving behavior.
Acceleration signature; Driving patterns; Fuzzy inference system
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/142326
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