Studies from Queensland University of Technology (QUT) Update Current Data on Risk Management (Evaluation of In-vehicle Technologies To Prevent Unlicensed Driving In Queensland and Victoria)

2019 MAY 30 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Investigators publish new report on Risk Management. According to news reporting from Brisbane, Australia, by NewsRx journalists, research stated, “Unlicensed driving is a serious problem in many Australian states, with unlicensed driving-related crashes (UDC) costing up to $304 million per year in Queensland, and $176 million in Victoria. In this paper, we present a Benefit-Cost Ratio (BCR) analysis of a set of Intelligent Transportation Systems technologies aimed at preventing unlicensed driving by verifying the driver’s identity through biometric technology, as well as the validity of their licence.”

Funders for this research include VicRoads, original study on unlicensed driving prevention in the state of Victoria.

The news correspondents obtained a quote from the research from the Queensland University of Technology (QUT), “Utilised together, the technology would essentially take the form of a licence interlock. The goal of this program of research (from which this paper stems) was to provide preliminary recommendations as to which technology is the most beneficial and should be implemented as part of a government-led program increasing the functionalities of electronic driving licences (EDL). The corresponding BCR analysis revealed that fingerprints and finger vascular patterns recognition technologies were found to systematically have the best BCRs. In regard to the most effective manner to implement the technology, a corresponding investigation with five scenarios revealed that the greatest benefits would be achieved with: (a) a mandatory system for all banned drivers (e.g., suspensions & disqualifications), and (b) a mandatory system for banned drivers under the age of 21 only. Scenario (b) performs extremely well, with returns of up to 16 times the investment with a simple fingerprint based interlock. Although often more modest, all systems were found to have BCRs above 1 in all of the implementation scenarios except one.”

According to the news reporters, the research concluded: “This paper further outlines the findings in regard to addressing the significant problem of unlicensed driving via emerging technologies.”

For more information on this research see: Evaluation of In-vehicle Technologies To Prevent Unlicensed Driving In Queensland and Victoria. Accident Analysis & Prevention, 2019;127():210-222. Accident Analysis & Prevention can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis & Prevention - http://www.journals.elsevier.com/accident-analysis-and-prevention/)

Our news journalists report that additional information may be obtained by contacting S. Demmel, Queensland University of Technology, Carrs Q, Gpo Box 2434, Brisbane, Qld 4001, Australia. Additional authors for this research include J. Freeman, G.S. Larue and A. Rakotonirainy.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.aap.2019.02.023. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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