The Need Of Intelligent Driver Training Systems For Road Safety

Malik, Husnain & Rakotonirainy, Andry (2008) The Need Of Intelligent Driver Training Systems For Road Safety. In Nineteenth International Conference on systems engineering (ICSENG 2008), August 19-21, 2008, Las Vegas, USA.

Published Version (PDF 333kB)
IEEE published version.

View at publisher


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 Antilock Braking System (ABS), early warning systems to complete autonomous driving solutions. Driver’s driving competencies also play a vital role in judging the road environment and reacting in-time to avoid any possible collision. Therefore driver’s 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

Impact and interest:

8 citations in Scopus
5 citations in Web of Science®
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

408 since deposited on 16 Dec 2008
30 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 16920
Item Type: Conference Paper
Refereed: Yes
Keywords: driver training, Intelligent Transport Systems, Advanced driver assistance systems
DOI: 10.1109/ICSEng.2008.87
ISBN: 978-0-7695-3331-5
Divisions: Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Psychology & Counselling
Copyright Owner: Copyright IEEE 2008
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 16 Dec 2008 01:23
Last Modified: 16 Apr 2012 01:17

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page