Andrés C. Cuervo Pinilla and Christian G. Quintero M. and Chinthaka Premachandra
ExpertDrivingCriteria Based on Fuzzy Logic Approach for Intelligent Driving Diagnosis
1565 - 1571
2014
8
8
International Journal of Electronics and Communication Engineering
https://publications.waset.org/pdf/10003703
https://publications.waset.org/vol/92
World Academy of Science, Engineering and Technology
This paper considers people’s driving skills
diagnosis under real driving conditions. In that sense, this research
presents an approach that uses GPS signals which have a direct
correlation with driving maneuvers. Besides, it is presented a novel
expertdrivingcriteria approximation using fuzzy logic which
seeks to analyze GPS signals in order to issue an intelligent driving
diagnosis.
Based on above, this works presents in the first section the
intelligent driving diagnosis system approach in terms of its own
characteristics properties, explaining in detail significant
considerations about how an expertdrivingcriteria approximation
must be developed. In the next section, the implementation of our
developed system based on the proposed fuzzy logic approach is
explained. Here, a proposed set of rules which corresponds to a
quantitative abstraction of some traffics laws and driving secure
techniques seeking to approach an expertdriving criteria
approximation is presented.
Experimental testing has been performed in real driving
conditions. The testing results show that the intelligent driving
diagnosis system qualifies driver’s performance quantitatively with
a high degree of reliability.
Open Science Index 92, 2014