Fuzzy logic to evaluate driving maneuvers: An integrated approach to improve training

Malik, Husnain, Larue, Gregoire S., Rakotonirainy, Andry, & Maire, Frederic D. (2014) Fuzzy logic to evaluate driving maneuvers: An integrated approach to improve training. IEEE Transactions on Intelligent Transportation Systems, 16(4), pp. 1728-1735.

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Driver training is one of the interventions aimed at mitigating the number of crashes that involve novice drivers. Our failure to understand what is really important for learners, in terms of risky driving, is one of the many drawbacks restraining us to build better training programs. Currently, there is a need to develop and evaluate Advanced Driving Assistance Systems that could comprehensively assess driving competencies. The aim of this paper is to present a novel Intelligent Driver Training System (IDTS) that analyses crash risks for a given driving situation, providing avenues for improvement and personalisation of driver training programs. The analysis takes into account numerous variables acquired synchronously from the Driver, the Vehicle and the Environment (DVE). The system then segments out the manoeuvres within a drive. This paper further presents the usage of fuzzy set theory to develop the safety inference rules for each manoeuvre executed during the drive. This paper presents a framework and its associated prototype that can be used to comprehensively view and assess complex driving manoeuvres and then provide a comprehensive analysis of the drive used to give feedback to novice drivers.

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ID Code: 78719
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Driver Training, Novice driver, Crash prevention, Intelligent Driver Training System (IDTS)
DOI: 10.1109/TITS.2014.2371061
ISSN: 1558-0016
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000)
Australian and New Zealand Standard Research Classification > EDUCATION (130000) > OTHER EDUCATION (139900)
Divisions: Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Current > Schools > School of Psychology & Counselling
Copyright Owner: Copyright 2014 IEEE
Deposited On: 17 Nov 2014 23:31
Last Modified: 08 Oct 2015 15:22

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