NDLI: The Need of Intelligent Driver Training Systems for Road Safety

Content Provider	IEEE Xplore Digital Library
Author	Malik, H. Rakotonirainy, A.
Copyright Year	2008
Description	Author affiliation: Center of Accident Res. & Road Safety, Queensland Univ. of Technol., Brisbane, QLD (Malik, H.; Rakotonirainy, A.)
Abstract	Automobiles have deeply impacted the way in which people travel but they have also caused a number of deaths and injury due to crashes. Driver inattention, inexperience, poor judgment and/or fatigue etc., are the major contributing factors in crashes. In order to address these complex issues, scientists have developed a number of technological systems ranging from anti-lock braking system (ABS), early warning systems to complete autonomous driving solutions. Driverpsilas driving competencies also play a vital role in judging the road environment and reacting in-time to avoid any possible collision. Therefore driverpsilas perceptual and motor skills remain a key factor impacting on-road safety. Currently, there is a need for researchers to develop and evaluate intelligent transport systems (ITS) that assess driving competencies. These tools should be designed to help driver instructors and drivers to accurately evaluate the driving behaviour. This paper outlines a vision for future research in the area of intelligent driver training systems for enhancing road safety and also presents preliminary implementation.
Starting Page	183
Ending Page	188
File Size	317778
Page Count	6
File Format	PDF
ISBN	9780769533315
DOI	10.1109/ICSEng.2008.87
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Driver circuits Training Vehicles Roads Sensors Artificial intelligence Safety Advance Driver Assistance Systems Driver Training Intelligent Transportation Systems
Content Type	Text
Resource Type	Article

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